inputs stringlengths 39 523k | embedding listlengths 1.02k 1.02k |
|---|---|
Definition: In this task, answer 'Yes' if the frequency of the given word in the two sentences is equal, else answer 'No'.
Input: Sentence1: 'a young man is alone in the grass trying to catch a frisbee', Sentence2: 'a room that has a table with chairs around it'. Is the frequency of the word 'a' in two sentences equal?
Output: | [
0.2950526773929596,
0.6151406764984131,
-0.7203450798988342,
-0.2235490083694458,
0.014929600991308689,
-0.426699697971344,
0.8517779111862183,
0.4079180955886841,
0.06632810831069946,
0.18431735038757324,
-0.7963793277740479,
0.06290881335735321,
0.0327971950173378,
0.16773821413516998,
... |
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 will be given a context, a subject and a relation. Your task is to generate a question based on the subject and relation. The generated question should include the given subject. Try to use a minimum number of words that are not present in either context, subject or relation while generating question.
Context : Isaac Nicola Romero (1916 in Havana, Cuba -- 1997) was a prominent Cuban guitarist and one of the founders of the modern Cuban Guitar School.
Subject : Isaac Nicola
Relation : place of birth
Solution: What was Isaac Nicola's city of birth?
Why? Here the question is generated on Isaac Nicola Romero who is the subject and the relation of question to the context is about the place of birth of Isaac Nicola Romero. Hence generated question is correct
New input: Context : Murong Jun (Chinese: 慕容儁; 319--360), courtesy name Xuanying (宣英), formally Emperor Jingzhao of (Former) Yan ((前)燕景昭帝), was an emperor of Former Yan.
Subject : Murong Jun
Relation : spouse
Solution: | [
0.9105299711227417,
0.09723841398954391,
-0.7467136383056641,
0.11513909697532654,
0.052681464701890945,
-0.45692718029022217,
0.23804226517677307,
0.5681113004684448,
0.07703211158514023,
0.09929731488227844,
0.3642878532409668,
0.7801868915557861,
-0.8963704109191895,
0.00781525857746601... |
Q: 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.
Title: Jazz Bands. Sentence 1: Hank practiced his guitar to play in a jazz band. Sentence 2: He got on stage with the group for his first performance. Sentence 3: He looked into the audience to see what they thought. Sentence 4: Hank was very nervous but thought he'd done well. Sentence 5: They clapped in approval at what he'd played.
A: | [
-0.48185160756111145,
0.34959274530410767,
-0.42263197898864746,
-0.10034284740686417,
0.2635084390640259,
-0.3618197739124298,
0.8978755474090576,
0.36108383536338806,
-0.28437280654907227,
-0.02677561528980732,
-0.507341742515564,
-0.6208988428115845,
-1.0530829429626465,
-0.374322563409... |
Definition: In this task you are given a Chinese paragraph related to a criminal case, your job is to give an answer of what the criminal charge is. Take note a) if there are multiple charges only one needs to be outputted b) the criminal charge should be in Chinese.
Input: 牟定县人民检察院指控：2013年被告人柳某甲被牟定县江坡镇人民政府聘用为某某村委会天某工程护林员，具体负责江坡镇某某村委会23林班森林管护工作，聘期一年，自2013年1月1日至12月31日。2013年10月初至12月，柳某甲擅自脱离护林员岗位回到共和镇华星村委会某某村家中，在近三个月内未到其管护的责任区履行巡山护林职责，导致在近一个月的时间内，张某甲、代某某（均已判刑）在某某村委会23林班花箐红岭岗和橄榄箐山上滥伐林木未被及时发现和制止，造成260.0393立方米森林资源被滥伐的严重后果。
Output: | [
-0.5995674133300781,
0.48130571842193604,
-0.1844746470451355,
-0.6964892148971558,
0.23823092877864838,
-0.3379752039909363,
-0.8029934167861938,
1.2453253269195557,
-0.5902436971664429,
0.05416150391101837,
-0.6429926156997681,
0.12715478241443634,
-0.11755070090293884,
-0.13007414340972... |
TASK DEFINITION: In this task, you need to count the number of words in a sentence that contain the given letter
PROBLEM: Sentence: 'little girl with her bunny beside her sitting on a bench'. How many words contain the letter 'w' in the sentence.
SOLUTION: 1
PROBLEM: Sentence: 'a teenager and child are fighting for a frisbee'. How many words contain the letter 'm' in the sentence.
SOLUTION: 0
PROBLEM: Sentence: 'a man in striped shirt holding a partially eaten sandwich'. How many words contain the letter 'b' in the sentence.
SOLUTION: | [
0.2909108102321625,
0.5460860729217529,
-0.30609798431396484,
-0.9869557619094849,
-0.18057246506214142,
0.28547203540802,
0.7192397713661194,
-0.03186573460698128,
0.7089296579360962,
-0.3569614291191101,
-0.05303601548075676,
0.31737473607063293,
-0.20693376660346985,
0.01345190405845642... |
Part 1. Definition
Generate a topic word for the given sentence. A topic word is usually the name of a person, place, animal, concept or object the sentence is focusing on.
Part 2. Example
fear of needles (medically known as belomophobia) is a term used to describe a large fear (phobia) of medical procedures involving needles.
Answer: fear of needles
Explanation: in this statement, we are talking about the fear of needles hence the output of the statement is fear of needles
Part 3. Exercise
the acm a.m. turing award is an annual prize given by the association for computing machinery (acm) to "an individual selected for contributions of a technical nature made to the computing community".
Answer: | [
0.2963714897632599,
0.48528093099594116,
-0.1734100729227066,
0.4324302673339844,
-0.15669116377830505,
-0.43133440613746643,
0.8135184645652771,
-0.12625472247600555,
-0.018743228167295456,
0.06346306204795837,
-0.6933050155639648,
0.47424718737602234,
-0.36779075860977173,
0.094323933124... |
Part 1. Definition
This task is about using the specified sentence and converting the sentence to Resource Description Framework (RDF) triplets of the form (subject, predicate object). The RDF triplets generated must be such that the triplets accurately capture the structure and semantics of the input sentence. The input is a sentence and the output is a list of triplets of the form [subject, predicate, object] that capture the relationships present in the sentence. When a sentence has more than 1 RDF triplet possible, the output must contain all of them.
Part 2. Example
University of mississippi was in the selc new conference.
Answer: [['University of Mississippi', 'NEW_CONFERENCE', 'SELC']]
Explanation: This is a good example since the subject of the sentence is University of Mississipi and it is connected to the object (SELC) via the predicate (new_conference). The output RDF captures the key elements of the sentence and is easily interpretable as well.
Part 3. Exercise
In 1996, Kiruna competed in the Norrland section.
Answer: | [
-0.49441105127334595,
0.02005249820649624,
-0.594295859336853,
-0.43013957142829895,
-0.5736182332038879,
0.16885384917259216,
0.49382564425468445,
0.43091654777526855,
0.30697470903396606,
-0.33719974756240845,
-0.43329814076423645,
0.024539314210414886,
-0.3265438377857208,
0.51059913635... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a piece of an article. Your task is to generate a short summary of the text. Try to give the summary in just one sentence.
Prime Minister Gordon Brown said Monday he had discussed the car industry crisis with German Chancellor Angela Merkel but had not talked about any specific amount of aid for General Motors.
Solution: Gordon Brown had discussed the car industry crisis with Angela Merkel.
Why? This summary is appropriate for the given article text as the article is about Gordon Brown and Angela Merkel's talk on car industry crisis.
New input: Karachi police in their continued drive against criminals, arrested 210 accused from various parts of the city during the past three days.
Solution: | [
-0.31699496507644653,
0.3775321841239929,
0.6117005348205566,
-0.2427455186843872,
-0.19859915971755981,
0.012770909816026688,
0.584612250328064,
0.6586567163467407,
-0.13373498618602753,
0.4280243217945099,
-0.5164414644241333,
-0.3829084038734436,
-0.20689627528190613,
0.5938632488250732... |
Q: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Polish.
物々交換・取引交換・共有こういったことを、ダイナミックで魅力的な形で私たちは再発明しているのです
A: | [
-0.3146376609802246,
0.6111644506454468,
0.28558021783828735,
0.20106083154678345,
0.023654725402593613,
-0.8941770792007446,
0.22883914411067963,
-0.046799346804618835,
0.08071765303611755,
-0.1511828601360321,
-0.25072503089904785,
0.3249076008796692,
-0.8395678400993347,
0.6092998385429... |
You will be given a definition of a task first, then some input of the task.
Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least 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.
James entered the hall. Emily entered the hall. The strawberry is in the green_drawer. Emily exited the hall. James moved the strawberry to the green_cupboard. James exited the hall. Emily entered the hall. James entered the attic. Emily entered the attic. The grapefruit is in the red_treasure_chest. Emily exited the attic. James moved the grapefruit to the blue_cupboard. James exited the attic. Emily entered the attic. Benjamin entered the garage. Phone rang. James entered the garage. The grapes is in the red_bottle. James exited the garage. Benjamin moved the grapes to the blue_container. Benjamin exited the garage. James entered the garage. Phone rang. Emily is in the attic. James entered the attic. The grapefruit is in the blue_cupboard. James exited the attic. Emily moved the grapefruit to the red_treasure_chest. Emily exited the attic. James entered the attic. Where is the grapefruit really?
Output: | [
0.0077135153114795685,
-0.2725316286087036,
-0.16381044685840607,
-0.4604724049568176,
-0.1449676752090454,
-1.3027147054672241,
-0.35421690344810486,
1.0278472900390625,
-0.21764108538627625,
0.39588436484336853,
-0.6055800914764404,
0.6920976638793945,
-0.032626017928123474,
-0.048669189... |
Teacher: In this task, we ask you to parse restaurant descriptions into a structured data table of key-value pairs. Here are the attributes (keys) and their examples values. You should preserve this order when creating the answer:
name: The Eagle,...
eatType: restaurant, coffee shop,...
food: French, Italian,...
priceRange: cheap, expensive,...
customerRating: 1 of 5 (low), 4 of 5 (high)
area: riverside, city center, ...
familyFriendly: Yes / No
near: Panda Express,...
The output table may contain all or only some of the attributes but must not contain unlisted attributes. For the output to be considered correct, it also must parse all of the attributes existant in the input sentence; in other words, incomplete parsing would be considered incorrect.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Aromi is an English restaurant in the city centre.
Solution: name[Aromi], eatType[restaurant], food[English], area[city centre]
Reason: The output correctly parses all the parseable attributes in the input, no more, no less.
Now, solve this instance: Zizzi is a cheap restaurant in the riverside area.
Student: | [
-0.31541526317596436,
-0.16922293603420258,
-0.009882184676826,
0.22774054110050201,
0.14891552925109863,
-0.5511037111282349,
0.35864752531051636,
0.7486658692359924,
-0.10454397648572922,
-0.07291994243860245,
0.6267356872558594,
-0.17280998826026917,
-0.687731921672821,
-0.2345610260963... |
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."
--------
Question: Beginning: Derek made a New Year's resolution to become a better batter. Middle: So he went and practiced everyday with his dad. Ending: Today Derek's able to hit the ball every time he swings.
Answer: So he went and practiced his saxophone.
Question: Beginning: Matt wanted to climb a nearby mountain. Middle: Matt tried and failed. Ending: His dreams were crushed and he never tried again.
Answer: Matt tried and succeeded.
Question: Beginning: Gina had interviewed at a bank near her home. Middle: Gina submitted a job application to the bank. Ending: All she had to do was await a call from the manager offering her a job
Answer: | [
0.3975268006324768,
0.38863205909729004,
-0.3972216546535492,
-0.02525816671550274,
0.34057968854904175,
-0.15862739086151123,
0.4420193135738373,
0.46237021684646606,
-0.21409645676612854,
-0.2603335678577423,
-0.6641589999198914,
0.3236076235771179,
-0.4490510821342468,
-0.42584139108657... |
In this task you will be given a list of numbers. A list is shown by two brackets and comma-separated numbers inside, like: [1,2,3]. You should remove all of the even numbers from the list. If every number in the input list is even an empty list should be returned. Zero should be counted as an even number.
Example Input: [167, 197, 41, 154]
Example Output: [167, 197, 41]
Example Input: [119, 108, 151, 29]
Example Output: [119, 151, 29]
Example Input: [85, 23, 102, 113, 192, 64]
Example Output: | [
-0.4554750919342041,
0.3381158709526062,
-0.15943974256515503,
-0.5569673776626587,
0.17528773844242096,
-0.18574541807174683,
0.7385448217391968,
0.3749328851699829,
-0.6154792308807373,
0.36268073320388794,
-1.039600133895874,
0.4020557999610901,
-0.214546337723732,
-0.6281898021697998,
... |
Given the task definition and input, reply with output. Given a passage, 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.
Our study reexamines the prevalence of interval colorectal cancer (I-CRC) by manually reviewing CRC cases at a single institution.', 'In 2% to 8% of patients with CRC, diagnosis occurs during the interval 6 to 36 months after a cancer-free colonoscopy. Rates are often determined by linking the date of colonoscopy with cancer registry information.', 'We examined all colonoscopies from 1993 to 2011. These examinations were linked with Pennsylvania Cancer Registry data. Matched charts were manually reviewed. We determined whether the CRC was "prevalent" or, for patients with a previous colonoscopy, whether they were interval or noninterval based on time from last colonoscopy. For interval cases, we identified "administrative errors" that could falsely increase the number of reported I-CRC.', 'Over the study period, 43,661 colonoscopies were performed, with 1147 (2.6%) positive for CRC after excluding cases (n=52) in which patients had IBD, previous surgery, or nonadenocarcinoma malignancy. Prevalent CRCs totaled 1062 (92.6%). Noninterval CRCs (diagnosed over 36 mo from index colonoscopy) were present in 40 (3.5%). There remained 45 (3.9%) potential I-CRC cases. However, after manual review, 21 cases were found to be administrative errors. Therefore, the accurate proportion of colonoscopies that found an I-CRC was 2.1% (95% confidence interval, 1.5%-3.2%).
| [
0.8881522417068481,
0.6285913586616516,
-0.46056294441223145,
0.009123975411057472,
0.28376761078834534,
0.123119056224823,
0.4729918837547302,
0.8591685891151428,
-0.06751687824726105,
0.16499951481819153,
-0.3835803270339966,
-0.0570533350110054,
-0.6916977167129517,
0.6572033166885376,
... |
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.
Input: Consider Input: Context: Small studies suggest exogenous estrogen may improve vitamin D status, but the etiology is unclear because women who use hormones may make lifestyle choices that differentially affect vitamin D status.', 'Our objective was to investigate the association between use of hormonal contraception and 25-hydroxy-vitamin D (25(OH)D).', 'We used linear regression modeling of cross-sectional data to estimate percent change in season-adjusted serum 25(OH)D with estrogen use after adjustment for other factors.', 'At the enrollment clinic visit (2010-2012) into a cohort study of uterine fibroids, each subject provided a blood sample, had anthropomorphic variables and skin reflectance measured, and answered questionnaires on demographics, dietary and supplement intake, contraceptive use, reproductive and medical history, and behaviors.', 'A total of 1662 African American women, community volunteers, 23-34 years old, living in the Detroit, Michigan, area were included.', 'None.', 'Serum 25(OH)D was measured.', 'Serum 25(OH)D concentrations were low (70% <20 ng/ml). Current use of an estrogen-containing contraceptive was associated with a 20% (95% confidence interval: 14-27) increase in 25(OH)D after adjustment. There was no increase in 25(OH)D among participants who had used estrogen in the past, but were not current users, indicating that results were unlikely to be due to unmeasured confounding by factors related to contraceptive choice.
Answer: The increase in 25(OH)D with use of estrogen-containing contraceptives raise mechanistic questions regarding the biological pathways involved, and highlights the need for studies that examine possible endogenous estrogen effects on vitamin D.
Output: Does use of Estrogen-Containing Contraception be Associated With Increased Concentrations of 25-Hydroxy Vitamin D?
Input: Consider Input: Context: Fatty acid synthase has been shown to be over expressed in a wide range of cancers and it has emerged as a therapeutic target. We examined whether fatty acid synthase could be a novel therapeutic target for renal cell carcinoma using the pharmacological fatty acid synthase inhibitor C75 (Cayman Chemical, Ann Arbor, Michigan).', 'The effects of C75 on cell viability and proliferation in human renal cancer 769P (ATCC(R)), Caki-1 and KU20-01 cells were examined by MTS assay and cell counts. Cell cycle distribution was analyzed by flow cytometry and cell invasiveness was assessed by wound healing and Matrigel(trade mark) invasion assays. Fatty acid synthase expression and the effects of C75 on intracellular signaling pathways were analyzed by Western blotting. The antitumor efficacy of C75 was examined using Caki-1 cell xenografts.', 'All renal cancer cell lines expressed detectable fatty acid synthase. C75 (10 mug/ml) significantly inhibited cell viability and growth by arresting the cell cycle at the G2/M phase and inducing apoptosis (p <0.01). The covered area in the wound and the number of cells invading through a Matrigel chamber were significantly smaller for cells treated with C75 than they were for control cells treated with vehicle (p <0.001). C75 suppressed Her2 and epidermal growth factor receptor expression as well as STAT3 phosphorylation, while increasing p53 and p21(Waf1/Cip1) expression. Intraperitoneal administration of C75 at doses of 20 mg/kg per week for 28 days significantly reduced the tumor volume of Caki-1 xenografts (p <0.05).
Answer: Pharmacological inhibition of fatty acid synthase could be an effective strategy for treating renal cell carcinoma.
Output: Does pharmacological inhibitor of fatty acid synthase suppress growth and invasiveness of renal cancer cells?
Input: Consider Input: Context: To determine the clinically recognizable error rate with the use of quantitative polymerase chain reaction (qPCR)-based comprehensive chromosomal screening (CCS).', 'Retrospective study.', 'Multiple fertility centers.', 'All patients receiving euploid designated embryos.', 'Trophectoderm biopsy for CCS.', 'Evaluation of the pregnancy outcomes following the transfer of qPCR-designated euploid embryos. Calculation of the clinically recognizable error rate.', 'A total of 3,168 transfers led to 2,354 pregnancies (74.3%). Of 4,794 CCS euploid embryos transferred, 2,976 gestational sacs developed, reflecting a clinical implantation rate of 62.1%. In the cases where a miscarriage occurred and products of conception were available for analysis, ten were ultimately found to be aneuploid. Seven were identified in the products of conception following clinical losses and three in ongoing pregnancies. The clinically recognizable error rate per embryo designated as euploid was 0.21% (95% confidence interval [CI] 0.10-0.37). The clinically recognizable error rate per transfer was 0.32% (95% CI 0.16-0.56). The clinically recognizable error rate per ongoing pregnancy was 0.13% (95% CI 0.03-0.37). Three products of conception from aneuploid losses were available to the molecular laboratory for detailed examination, and all of them demonstrated fetal mosaicism.
Answer: The clinically recognizable error rate with qPCR-based CCS is real but quite low. Although evaluated in only a limited number of specimens, mosaicism appears to play a prominent role in misdiagnoses. Mosaic errors present a genuine limit to the effectiveness of aneuploidy screening, because they are not attributable to technical issues in the embryology or analytic laboratories.
| [
0.34396597743034363,
0.039183542132377625,
-0.7972539663314819,
-0.27028888463974,
0.3929879069328308,
-0.7034260034561157,
1.0705041885375977,
1.6298719644546509,
0.4365309476852417,
0.2321629524230957,
-0.7685144543647766,
-0.6381900310516357,
-0.6072119474411011,
-0.044254548847675323,
... |
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.
One example is below.
Q: Preheat oven to 375 degrees., Boil syrup, sugar and shortening over medium heat, stirring constantly., Remove from heat., Gradually stir in flour and nuts., Drop by teaspoonfuls about 3 inches apart on lightly greased cookie sheet., Bake 5 to 6 min., Remove from oven and let stand 5 min, before removing from sheet., May be rolled into cylindrical shape while still hot., If cooled too much, return to oven for a minute., Yield: 4 dozen cookies.
A: flour, nuts, corn syrup, shortening, brown sugar
Rationale: This is a good example, as we see the NER is generated correctly from the directions.
Q: Process sifted flour, powdered sugar, cocoa powder and butter until crumbly. With motor operating, add egg yolk and enough iced water (about 2 tsp) to make ingredients cling together. Turn dough onto floured surface; knead gently until smooth. Divide in half and flatten each into a disc. Wrap pastry in plastic wrap; refrigerate 30 mins., Grease two 12-cup mini muffin pans. Roll out each pastry disc between sheets of parchment paper until 1/4 inch thick. Using a 2 1/2-inch round cutter, cut out 12 rounds from each. Press rounds into prepared pans. Prick bottom of crusts well with a fork. Refrigerate 30 mins., Preheat the oven to 425°F., Bake tart crusts about 12 mins. Cool in pans 5 mins. Remove from pans; cool completely on wire rack., Meanwhile, for the chocolate caramel filling, stir butter and brown sugar in small saucepan on low heat until sugar dissolves. Add condensed milk; cook, stirring, about 5 mins until mixture boils and thickens. Remove from heat. Stir in chocolate and syrup until smooth., Spoon hot filling into tart crusts. Cool. Refrigerate 1 hour., Top tartlets with banana and whipped cream. Dust with sifted cocoa powder.
A: | [
0.6758132576942444,
0.1608269363641739,
-0.353599488735199,
0.3671109676361084,
0.06901561468839645,
0.16316759586334229,
0.3995615541934967,
0.872978687286377,
-0.562451958656311,
-0.006268166936933994,
0.0018146607326343656,
-0.3251591920852661,
0.11214494705200195,
-0.014397373422980309... |
In this task you will be given an arithmetic operation and you have to find its answer. The operators '+' and '-' have been replaced with new symbols. Specifically, '+' has been replaced with the symbol '@' and '-' with the symbol '#'. You need to perform the operations in the given equation return the answer
Q: 931 # 9775 @ 8414
A: | [
-0.36527219414711,
0.39468541741371155,
-0.9513388276100159,
0.08827647566795349,
-0.5867217779159546,
-0.49866682291030884,
0.29680386185646057,
1.6297045946121216,
0.7815390825271606,
0.11733788251876831,
-0.43376973271369934,
-0.3415651321411133,
0.1021059975028038,
0.10351503640413284,... |
Q: In this task, you are presented with a term, a question, and a yes/no answer. For context, the term is associated with a short description. Write the simple facts one needs to know in order to answer the given question. The facts should be easily found on the web (e.g. mentioned in a Wikipedia page)
Term: World Wide Web, Description: System of interlinked hypertext documents accessed over the Internet, Question: Sir Tim Berners-Lee was knighted for his invention of the world wide web by 1989?, Answer:No
A: | [
-1.0164692401885986,
1.0170836448669434,
0.34994202852249146,
0.3281412422657013,
-0.03288136050105095,
-1.1000374555587769,
-0.07549843192100525,
0.5204901099205017,
0.45046675205230713,
0.7650466561317444,
0.36039385199546814,
0.9465581178665161,
-0.8044805526733398,
-0.2904515266418457,... |
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 fine labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is : '$': Dollar Sign, "''": Single Quotes, ',': Comma Symbol, '-LRB-': Left Parantheses, '-RRB-': Right Parantheses, '.': Period, ':': Colon, 'ADD': Email Address, 'AFX': Affix, 'CC': Coordinating conjunction, 'CD': Cardinal Number, 'DT': Determiner, 'EX': Existential there, 'FW': Foreign Word, 'GW': Go with, 'HYPH': Hyphen symbol, 'IN': Preposition or a subordinating conjunction, 'JJ': Adjective, 'JJR': A comparative Adjective, 'JJS': A Superlative Adjective, 'LS': List item Marker, 'MD': Modal, 'NFP': Superfluous punctuation, 'NN': Singular Noun, 'NNP': Singular Proper Noun, 'NNPS': Prural Proper Noun, 'NNS': Prural Noun, 'PDT': Pre-determiner, 'POS': Possessive Ending, 'PRP': Personal pronoun, 'PRP$': Possessive Pronoun, 'RB': Adverb, 'RBR': Comparative Adverb, 'RBS': Superlative Adverb, 'RP': Particle, 'SYM': Symbol, 'TO': To , 'UH': Interjection, 'VB': Base form Verb, 'VBD': Verb in Past tense, 'VBG': Verb in present participle, 'VBN': Verb in past participle, 'VBP': Verb in non-3rd person singular present, 'VBZ': Verb in 3rd person singular present, 'WDT': Wh-determiner, 'WP': Wh-pronoun, 'WP$' Possessive Wh-pronoun, 'WRB': Wh-adverb, 'XX': Unknown, '``': Double backticks.
Input: Sentence: Perhaps Jim Armogida can assist in revising them as I am sure he is more familiar with the way Enron Corp. likes their resolutions {{ drafted }} than we are .
Word: drafted
Output: | [
-0.10083461552858353,
0.21560180187225342,
-0.02710597589612007,
0.341031551361084,
-0.03281307965517044,
-0.7493420839309692,
0.546594500541687,
0.8438154458999634,
-0.37642163038253784,
-0.07172593474388123,
-0.34306061267852783,
0.39641064405441284,
-0.539131224155426,
-0.19486102461814... |
In this task, you need to Translate Czech text to English.
One example is below.
Q: Řešení se týká herbicidů a regulátorů růstu rostlin, obzvláště herbicidů pro selektivní potírání plevelů v kulturách užitkových rostlin. Konkrétně se týká nových acylovaných aminofenylsulfonylmočovin obecného vzorce I, způsobu jejich výroby a nových meziproduktů pro jejich výrobu, jakož i jejich použití.ŕ
A: The present invention relates to herbicides and plant growth regulators, in particular herbicides for the selective control of weeds in crops of useful plants. In particular, it relates to novel acylated aminophenylsulfonylureas of formula I, to a process for their preparation and to novel intermediates for their preparation as well as to their use.
Rationale: The translation is fluent, formal, and accurate
Q: Vpichovaná textilie určená zejména pro atmosférickou filtraci vyznačující se prostorovým uspořádáním vláken. Sestává nejméně ze dvou vlákenných vrstev, které spolu svírají úhel 70 °až 110 0 a je provázána svazky vláken obsahující části vláken z jednotlivých vrstev, přičemž, svazky vláken svírají s rovinou ukládání vlákenných vrstev rovněž úhel 70 0 až 110 °.
A: | [
-0.33247268199920654,
-0.08004073798656464,
-0.11947639286518097,
0.2827325463294983,
-0.14431121945381165,
-0.34392547607421875,
0.26080694794654846,
0.7111968994140625,
0.33844855427742004,
0.34763187170028687,
-0.7620728015899658,
0.5354586839675903,
-0.7200832366943359,
0.0670684874057... |
In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.
Phenanthroquinolizidine alkaloids a b s t r a c t The stereoselective synthesis of epi-thieno analogues of the phenanthroquinolizidine bioactive alkaloids (À)-Cryptopleurine and (À)-(15R)-Hydroxycryptopleurine was achieved in five steps starting from easily available enantiopure (S)-2-aminoadipic acid used as chiral pool and nitrogen atom source. During these investigations, both p-cationic cyclization of chiral N-thienylmethyl-6-oxopipecolinic acids into pure (S)keto-lactams and theirs regioselective and diastereoselective reduction, considered as key steps of this sequence, were studied. Of particular interest, the FriedeleCrafts cyclization using (CF 3 CO) 2 O/BF 3 $Et 2 O show that near the expected keto-lactams, enamides and enamidones containing trifluoromethyl residue were isolated. A mechanism leading to the latter products with high synthetic potential was discussed. | [
0.5349816083908081,
0.15064391493797302,
-0.2223375290632248,
0.25561797618865967,
0.14409221708774567,
-0.551851749420166,
0.4651144742965698,
0.7784554958343506,
-0.22985777258872986,
0.22212401032447815,
-0.660104513168335,
-0.02534916251897812,
-1.441541075706482,
-0.37603485584259033,... |
Definition: In this task, you are given a premise and hypothesis. The task is to classify them into three categories: 'positive' if the hypothesis supports the premise, 'negated' if it opposes the premise, and 'neutral' if it neither supports nor opposes it.
Input: Premise : 'All two libraries that considered Scott to hate this teenager might have been attempting to disturb Todd.','Hypothesis : There are exactly two hospitals that considered Scott to hate this teenager.'
Output: | [
0.0034109465777873993,
-0.2416176199913025,
0.17283537983894348,
0.040315330028533936,
0.5532815456390381,
-0.9591566324234009,
0.4212624728679657,
-0.07014024257659912,
0.9506161212921143,
0.33038386702537537,
-0.4456687569618225,
0.34730684757232666,
-0.20628681778907776,
-0.971353113651... |
instruction:
This task is about using the specified sentence and converting the sentence to Resource Description Framework (RDF) triplets of the form (subject, predicate object). The RDF triplets generated must be such that the triplets accurately capture the structure and semantics of the input sentence. The input is a sentence and the output is a list of triplets of the form [subject, predicate, object] that capture the relationships present in the sentence. When a sentence has more than 1 RDF triplet possible, the output must contain all of them.
question:
The final result for Craig Hosmer was re- elected.
answer:
[['California 18', 'RESULT', 'Re-elected'], ['California 18', 'INCUMBENT', 'Craig Hosmer']]
question:
The Punter is a 5 star Japanese food and coffee shop located near Café Sicilia. It is not child-friendly and slightly more expensive other local places.
answer:
[['The Punter', 'eatType', 'coffee shop'], ['The Punter', 'food', 'Japanese'], ['The Punter', 'priceRange', 'more than £30'], ['The Punter', 'customer rating', '5 out of 5'], ['The Punter', 'familyFriendly', 'no'], ['The Punter', 'near', 'Café Sicilia']]
question:
The Olive Grove is a adult pub with a less than £20 price range that serves English food in the riverside area.
answer:
| [
0.07446824014186859,
-0.1542602777481079,
-0.602655827999115,
-0.3259340524673462,
-0.16497261822223663,
-0.07483413815498352,
0.7277030944824219,
0.33748897910118103,
0.22352716326713562,
-0.25489503145217896,
-0.3843540549278259,
0.2945463955402374,
-0.024147603660821915,
0.0377063080668... |
Q: In this task, you are given a sentence in Persian, and your task is to translate it into English.
مردم زيادي خارج از اينجا وجود دارند كه بي گناهي تو را باور دارند .
A: | [
-0.49400514364242554,
1.0410271883010864,
-0.27199628949165344,
-0.15883615612983704,
-0.5378986597061157,
-0.9698548316955566,
0.7023571729660034,
0.5148550271987915,
0.7911531329154968,
-0.36374205350875854,
-0.7948124408721924,
0.6972823143005371,
-0.6853433847427368,
0.6673640608787537... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Italian.
Q: جلو بیا چون تو را نمی بینم.
A: | [
0.38591691851615906,
1.039335012435913,
0.08971291035413742,
0.13393089175224304,
-1.0462865829467773,
0.7640459537506104,
-0.06318570673465729,
0.8076587915420532,
0.5944476127624512,
0.49709826707839966,
0.10255081206560135,
-0.18528923392295837,
0.16979412734508514,
0.3558737635612488,
... |
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.
One example: Sentence: An editorial in the church - owned Deseret Morning News in Salt Lake City earlier this year acknowledged that " the state 's history , a {{ conservative }} belief in free choice , and an unwillingness to stir up a hornet 's nest in the national media have likely all contributed to the kid - glove approach lawmakers and law - enforcement officers have taken when dealing with polygamous communities . "
Word: conservative
Solution is here: ADJ
Explanation: "conservative" is an Adjective (ADJ) since it adds to the description of the Noun (NOUN) "belief".
Now, solve this: Sentence: Dr. Eric Fortier , 34 , of Gatineau , Que. {{ , }} used a pocket knife to attack a polar bear on Baffin Island , just south of the Arctic Circle , to save two friends who were being mauled .
Word: ,
Solution: | [
0.6637287139892578,
0.26537513732910156,
-0.07673483341932297,
-0.3178938925266266,
0.22682857513427734,
-0.8439015746116638,
0.8131265640258789,
0.8229941129684448,
-0.6744990944862366,
-0.38710710406303406,
-0.19431057572364807,
0.2524696886539459,
-0.6204184293746948,
0.3629524111747741... |
Given the task definition and input, reply with output. In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how they appear in the input may help you generate more accurate questions.
Select: A select step is used to return a set of objects. There are no references to previous steps in a select step. template: Return [attributes]
Filter: A filter step is used to return results from a previous step to which a certain condition applies. template: Return [#step] [condition]
Project: A project step should return certain attributes of the results of a previous step. template: Return [attributes] of [#step]
Aggregate: An aggregate step returns an aggregator function applied on a step's result. template: Return the [aggregator] of [#step].
Group: A group step is an aggregator applied on attributes. template: Return the [aggregator] of [#step] for each [attribute]
Superlative: A superlative step is used to return the result with a highest/lowest attribute among other results. template: Return [#step1] [where] [#step2] [is] [highest / lowest]
Comparative: A comparative step is used when we need to compare an attribute with a number to filter results. template: Return [#step1] [where] [#step2] [comparator] [number]
Union: A union step is used to return results of two steps together. template: Return [#step1] [or / ,] [#step2]
Intersection: An intersection step returns the result that two steps have in common. template: Return [attribute] of both [#step1] and [#step2]
Discard: A discard step returns result of a step and excludes result of another step from it. template: Return [#step1] besides [#step2]
Sort: A sort returns result of another step in a specific order. template: Return [#step1] [ordered / sorted by] [#step2]
Is true: An is true step checks a condition on another result and returns a true or false. template: Return [is / if] [condition]
Arithmetic: An arithmatic step operates an arithmatic operation on one or more steps. template: Return the [arithmetic op.] of [#step1] [and] [#step2].
#1 return both pictures
#2 return dogs in #1
#3 return sled
#4 return If #2 are pulling #3 towards the right
| [
0.438345730304718,
0.04125966131687164,
-0.7740306258201599,
0.6886122226715088,
0.22213968634605408,
-0.3490663170814514,
0.7278175354003906,
0.28939127922058105,
-0.18013513088226318,
0.3879922032356262,
-0.437500923871994,
0.3544817566871643,
0.12362869083881378,
0.16273033618927002,
... |
Given a part of privacy policy text, identify the type of personal information which is collected, used, tracked or retained. The type of information should be present inside the given policy text, answer as 'Not Specified' otherwise
Example input: The site collects your cookies or tracking elements for a basic service or feature. Collection happens in an unspecified way, and your data is aggregated or anonymized.
Example output: Cookies and tracking elements
Example explanation: The type of user information collected is clearly stated in the given policy text as 'cookies or tracking elements'
Q: An unnamed third party does track on the first party website or app your cookies or tracking elements for targeted advertising. The data is aggregated or anonymized. You can configure your privacy with third-party user settings.
A: | [
-0.43965858221054077,
0.10411247611045837,
-0.5452508926391602,
-0.21822664141654968,
-0.6526949405670166,
-0.6073381900787354,
0.7944979667663574,
0.6874690055847168,
-0.14780762791633606,
0.790367841720581,
0.40545809268951416,
-0.05846966803073883,
-0.03855857253074646,
-0.4728551506996... |
Given a sentence in French, generate a new French sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Example: Tomber amoureux, c'est comme manger un chocolat.
Example solution: Tomber amoureux, c'est comme allumer un bar de vacances.
Example explanation: This is a good change in the sentence, because it is semantically similar to the input as both are talking about falling in love and the created sentence follows the commonsense knowledge.
Problem: Si vous voulez avoir une crise cardiaque, alors vous devez réduire les aliments gras.
| [
0.32046395540237427,
0.760467529296875,
0.2497846484184265,
-0.03764696046710014,
0.2809591293334961,
-0.9089376330375671,
0.6633487939834595,
0.3957756757736206,
-0.1258925050497055,
-0.16506589949131012,
-0.6259688138961792,
-0.6322514414787292,
-0.5010064244270325,
0.19688919186592102,
... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Farsi.
See one example below:
Problem: Bueno, yo digo nada, pero en realidad hay una unidad de investigación muy, muy pequeña en Turín, Italia, llamada Proyecto de Perfiles de Hackers.
Solution: خوب ، من چیزی نمیگم ، اما در واقع یک واحد تحقیقات کوچک در در تورین ، ایتالیا به نام پروژه پروفایل هکرها وجود داره.
Explanation: The Spanish sentence is correctly translated into Farsi, because the meaning is preserved.
Problem: Al contrario de todo lo que nos han enseñado en la facultad de arquitectura, copiar es bueno.
Solution: | [
-0.4604576826095581,
0.5559856295585632,
-0.24416497349739075,
-0.13911455869674683,
-0.3118151128292084,
-0.4441322088241577,
0.41779983043670654,
0.5337728261947632,
-0.39634132385253906,
-0.2967602014541626,
-0.7335089445114136,
0.3823426365852356,
-0.22199159860610962,
-0.0160047635436... |
Instructions: In this task, you have to generate the title of the recipe given its required ingredients and directions.
Input: ingredients: '1 pound boneless skinless chicken breasts, cubed', '2 medium carrots, shredded', '3 tablespoons sherry or reduced-sodium chicken broth', '2 tablespoons rice vinegar', '1 tablespoon reduced-sodium soy sauce', '2 to 3 teaspoons minced fresh gingerroot', '1/4 teaspoon pepper', '6 cups reduced-sodium chicken broth', '1 cup water', '2 cups fresh snow peas, halved', '2 ounces uncooked angel hair pasta, broken into thirds',<sep> directions: 'In a 5-qt. slow cooker, combine the first nine ingredients. Cook, covered, on low until chicken is tender, 3-4 hours.', 'Stir in snow peas and pasta. Cook, covered, on low until snow peas and pasta are tender, about 30 minutes longer.'
Output: | [
0.5980532765388489,
0.5692890882492065,
-0.31599247455596924,
0.8761361241340637,
-0.09033014625310898,
-0.4262937903404236,
0.4030904471874237,
1.0453213453292847,
-0.2837616205215454,
0.10440860688686371,
0.2496987283229828,
-0.09948892146348953,
-0.3680592179298401,
0.22000765800476074,... |
Given the task definition and input, reply with output. This task is about using the specified sentence and converting the sentence to Resource Description Framework (RDF) triplets of the form (subject, predicate object). The RDF triplets generated must be such that the triplets accurately capture the structure and semantics of the input sentence. The input is a sentence and the output is a list of triplets of the form [subject, predicate, object] that capture the relationships present in the sentence. When a sentence has more than 1 RDF triplet possible, the output must contain all of them.
In 1996, Kiruna competed in the Norrland section.
| [
-0.8576034903526306,
0.40178412199020386,
0.0715102106332779,
-0.32750189304351807,
-0.7149016261100769,
0.4402332007884979,
0.9285041689872742,
-0.10010538250207901,
0.039672646671533585,
-0.9165617227554321,
-1.148925542831421,
0.5548319220542908,
-0.2851197421550751,
0.2899058163166046,... |
In this task, you are given a sentence in Persian, and your task is to translate it into English.
Q: شاید تا قبل از فرا رسیدن شب، اینجا در آتش بسوزد.
A: we are likely to have the place burnt down before nightfall.;
****
Q: خودش به او اطمینان داده بود
A: he assured her
****
Q: و از نخستین سالهای کودکی به تماشای اپرا رفته و لذت برده بود،
A: | [
0.20745626091957092,
1.2572667598724365,
-0.10158650577068329,
-0.23377180099487305,
-0.7550069093704224,
-1.0002588033676147,
0.9705358743667603,
0.4585800766944885,
0.047508228570222855,
-0.17735551297664642,
-0.2171880304813385,
0.37261879444122314,
-0.6993974447250366,
0.26734519004821... |
Given a sentence in the Japanese and Thai language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Ex Input:
Japanese: 国土安全保障省の広報担当者であるラス・Knockeは「この意欲的な脅威を裏付ける情報はない」と言っている。
Thai: โฆษกหน่วยงานความมั่นคงแห่งชาติ Russ Knocke กล่าวว่า "ไม่มีข้อมูลที่ยืนยันภัยคุกคามที่มีแรงจูงใจนี้"
Ex Output:
Yes
Ex Input:
Japanese: コルヴィルは「どの殺人事件も満足に捜査されていない」と言った。
Thai: นายโคลวิลกล่าวว่า ไม่มีการสืบสวนคดีฆาตกรรมใดในจำนวนนี้ได้ผลเป็นที่น่าพีงพอใจ
Ex Output:
Yes
Ex Input:
Japanese: イスラエルは、政府からの公式声明の中で、決議には「重大な欠陥があり、偽善的である」と述べた。
Thai: จากสุนทรพจน์ทางการของ สำนักนายกรัฐมนตรี ประเทศอิสราเอล ได้กล่าวถึงการลงมติดังกล่าวว่า "มีความบกพร่อง และเสแสร้งอย่างมาก"
Ex Output:
| [
-0.6559731960296631,
-0.5393309593200684,
0.5429790616035461,
0.34710627794265747,
0.14331023395061493,
-0.13196298480033875,
1.04298996925354,
0.6099206209182739,
-1.0955615043640137,
0.4450703561306,
-0.11081448942422867,
0.27330201864242554,
-0.7156968712806702,
0.07005887478590012,
0... |
In this task you are given a sentence. You must judge whether subject of the main clause is singular or plural. Label the instances as "Singular" or "Plural" based on your judgment.
One example is below.
Q: Coming from a xenophobic race that possesses the unique ability to pass among other species and chooses not to, the bounty hunter is a walking contradiction.
A: Singular
Rationale: "the bounty hunter" is the subject of the sentence which is singular.
Q: " The sheriff told me. "
A: | [
-1.4421675205230713,
0.6253728866577148,
0.04875136539340019,
-0.3079491853713989,
-0.6749014258384705,
-0.41547611355781555,
0.49581167101860046,
0.02925151214003563,
-0.14537207782268524,
-0.7861832976341248,
-0.8041951656341553,
-0.04235111549496651,
-0.8705075979232788,
0.0653347894549... |
Q: In this task, you need to reverse the order of words in the given sentence.
Sentence: a girl standing on a snowy slope by a snowboard
A: | [
0.23302499949932098,
0.8435292840003967,
-0.515188455581665,
-1.0832977294921875,
0.18726177513599396,
0.10084514319896698,
-0.48799121379852295,
0.26102766394615173,
0.4703676998615265,
-0.24229499697685242,
0.543665885925293,
0.6173883676528931,
-0.3318573832511902,
-0.4330201745033264,
... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into English.
[Q]: Especificamente, se olharem para o eixo vertical, aquilo é a tensão. Se virem o valor de tensão máximo para cada uma destas fibras podem ver que existe muita variação e, na verdade, a seda de reboque ou "" ampullate major "" (maior ampola) é a mais forte destas fibras.
[A]: Specifically, if you look on the vertical axis, that's stress. If you look at the maximum stress value for each of these fibers, you can see that there's a lot of variation, and in fact dragline, or major ampullate silk, is the strongest of these fibers.
[Q]: (Video) Computador: Um menino segura um taco de basebol.
[A]: (Video) Computer: A young boy is holding a baseball bat.
[Q]: E em vez de responder, fiz um dos meus grandes sorrisos e vi, numa luz cintilante, o seguinte sinal na minha cabeça.
[A]: | [
-0.28908804059028625,
0.6452945470809937,
-0.10382057726383209,
-0.644689679145813,
-0.368029922246933,
-0.4559474587440491,
0.14996229112148285,
2.1722779273986816,
0.4441465139389038,
0.285403847694397,
-0.20955123007297516,
0.2267148643732071,
0.05620638281106949,
-0.07277019321918488,
... |
In this task, you're given statements in native Kannada language. The statement can be written with the Kannada alphabet or the English alphabet. Your job is to evaluate if the statement is offensive or not. Label the post as "Not offensive" if the post does not contain offense or insult. Non-offensive posts do not include any form of offense or insult. Label the post as "Offensive" if the post contains offensive language.
[Q]: Eega ellakade ursthayirodu kannadigare
[A]: Offensive
[Q]: Yar guru ninu.....super
[A]: Not offensive
[Q]: Loo Nim Makha muccha e Video gu Dislike yenro nim Hendti Munde Haga avr character Nodi kaliro life Andre yenu antha thu nanmakla
[A]: | [
-0.05907677486538887,
0.8428552746772766,
0.3098597228527069,
-0.16460484266281128,
-0.2590799927711487,
-0.8082011342048645,
0.5556915998458862,
0.39465126395225525,
-0.19110023975372314,
-0.6782244443893433,
0.30762729048728943,
-0.7267014980316162,
-0.5079764127731323,
-0.21173065900802... |
Given the task definition and input, reply with output. In this task, you are given an input list A. You need to find all the elements of the list that are alphabets in the same order as they appear in the list A. Do not change their case/capitalization.
['9297', 'I', 'j', 'E', 'E', '251', '9239', 's', 'g', 'j', 'B', 'm', 'S', '8771', 'W', 'u', 'e']
| [
-0.5375910997390747,
0.7333590984344482,
-0.05066980421543121,
-0.4434452950954437,
-0.08668338507413864,
-0.45242124795913696,
0.13362346589565277,
-0.42082569003105164,
-0.37834200263023376,
0.1831131875514984,
-0.42962557077407837,
0.09278863668441772,
-0.2934320569038391,
-0.3577349781... |
Teacher:In this task, you are given a sentence in English, and your task is to translate it into Persian.
Teacher: Now, understand the problem? Solve this instance: thats only safe place .
Student: | [
0.12716138362884521,
0.6313517093658447,
-0.15265843272209167,
-0.4791220426559448,
-0.587780237197876,
-0.2616592049598694,
0.3922952115535736,
0.6880189776420593,
0.5593215227127075,
-0.09039508551359177,
-0.22016875445842743,
0.2491551786661148,
0.03351534157991409,
-0.9721822142601013,... |
instruction:
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.
question:
Person1: You know that this job requires frequent business travel . Can you accept it ?
Person2: Yes , I can .
Person1: Mostly short business trips , but sometimes long ones are also needed .
Person2: Then how about the expenses during the trips ?
Person1: The company will pay all the expenses .
Person2: Would you tell me where we often travel ?
Person1: Usually Shanghai , Qingdao , Hong Kong and so on .
Person2: It's great ! I like these places .
Person1: And you need to go abroad once in a while . Can you ?
Person2: Yes , I can .
Person1: After the business trip , you could apply for reimbursement of all the expenses , such as passage money and accommodation charges and so on .
Person2: I see .
Person1: You can take a break for one or two weeks after you have a business trip every time , which depends on the circumstances .
Person2: OK . Thank you very much for telling me all these things .
answer:
1
question:
Person1: What do you think of his behaviour yesterday ?
Person2: He's a sad dog . He came to the wedding in jeans !
Person1: I don't think so . He only had no common sense .
answer:
0
question:
Person1: Do I have to take these books here if I want to renew them ?
Person2: You can renew the books over the computer .
Person1: That's so convenient .
answer:
| [
0.22927068173885345,
0.24202468991279602,
-0.05270668864250183,
-0.0793977603316307,
0.5642423629760742,
-0.41376250982284546,
0.9032046794891357,
0.3144269287586212,
-0.08943143486976624,
-0.29993510246276855,
-0.20976141095161438,
0.3698342442512512,
-0.054131001234054565,
0.253226369619... |
In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
[EX Q]: display the emails of the employees who have no commission percentage and salary within the range 7000 to 12000 and works in that department which number is 50.
[EX A]: SELECT email FROM employees WHERE commission_pct = "null" AND salary BETWEEN 7000 AND 12000 AND department_id = 50
[EX Q]: List the name of the pilots who have flied for both a company that mainly provide 'Cargo' services and a company that runs 'Catering services' activities.
[EX A]: SELECT T2.pilot FROM operate_company AS T1 JOIN flight AS t2 ON T1.id = T2.company_id WHERE T1.principal_activities = 'Cargo' INTERSECT SELECT T2.pilot FROM operate_company AS T1 JOIN flight AS t2 ON T1.id = T2.company_id WHERE T1.principal_activities = 'Catering services'
[EX Q]: Show the ids of the employees who don't authorize destruction for any document.
[EX A]: | [
0.4276087284088135,
0.490071177482605,
-0.8845587372779846,
0.7036769986152649,
0.01893395557999611,
-0.12071913480758667,
0.5898472666740417,
1.1454503536224365,
-0.41342151165008545,
0.5070374011993408,
0.25730326771736145,
0.05572164058685303,
0.04763314872980118,
0.3002619743347168,
... |
Given a sentence in the Japanese, provide an equivalent translation in Lao that retains the same meaning through the translation. In translation, keep numbers as it is.
Example Input: 俳優であり、ディレクターであり、アーティストでもあるデニス・ホッパーが本日74歳で亡くなった。
Example Output: ນັກສະແດງ ຜູ້ກຳກັບ ແລະ ນັກສີນລະປິນ ເດນນິສ ໂຮບເປີ້ ໄດ້ເສຍຊີວິດມື້ນີ້ ໃນອາຍຸ 74 ປີ.
Example Input: ロイターとのインタビューで、NOAAのジェイ・ローリモア氏は「データは温室効果ガスが最近の気温上昇に影響しているとは示していない」と示唆したが、「長期的な傾向と変化を見れば、我々は自然による気候変動と文化人類学的な（人間由来の）気候変動についてよりよく理解できるだろう」と認めた。
Example Output: ໃນການສຳພາດກັບ ຣູເຕີ້ ເຈ ລໍຣີມໍ່ ຈາກ NOAA ໄດ້ແນະນະວ່າ ຂໍ້ມູນບໍ່ໄດ້ສະແດງທາດອາຍເຮືອນແກ້ວວ່າມີຜົນກະທົບ ຕໍ່ການເພີ່ມຂຶ້ນຂອງອຸນຫະພູມ ແຕ່ໃນປະຈຸບັນເປັນທີ່ຍອມຮັບກັນແລ້ວ່າວ່າ "ເບິ່ງທີ່ແນວໂນ້ມໃນໄລຍະຍາວ ແລະ ການປ່ຽນແປງໄລຍະຍາວ ພວກເຮົາສາມາດເຂົ້າໃຈທຳມະຊາດ ແລະ ການປ່ຽນແປງຂອງອາກາດ ແບບມະນຸດວິທະຍາ (ເກີດຂຶ້ນໂດຍມະນຸດ) ໄດ້ດີ."
Example Input: 落書きのように見えて、しばしば既に荒らされている壁にスプレーを振り掛ける、USAでのソニーのPSPの新しい広告キャンペーンが他の落書きアーティストから攻撃をうけている。
Example Output: | [
-0.7775989770889282,
-0.3584994077682495,
-0.24028678238391876,
-0.6595733165740967,
-0.36431390047073364,
-1.1261229515075684,
0.2394605278968811,
0.5514025092124939,
-0.1807437390089035,
-0.38589176535606384,
-0.5538002252578735,
0.5441935062408447,
-0.33945387601852417,
0.19071723520755... |
Q: You are given a sentence in English. Your job is to translate the English sentence into Italian.
And if we can find that, then we'll be able to find, within each one of us, what it is that we need to find to face the big question, which is: how do we change?
A: | [
-0.3612805902957916,
0.720578670501709,
0.3982609510421753,
-0.039047230035066605,
-0.3421921133995056,
-1.2101178169250488,
0.45130789279937744,
0.8666391968727112,
0.3389738202095032,
-0.12374533712863922,
-0.008368415758013725,
0.051362354308366776,
-0.981298565864563,
-0.00441616633906... |
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 generate a natural language interpretation of the given command.
Here are the definitions of logical operators:
1. count: returns the number of rows in the view
2. only: returns whether there is exactly one row in the view
3. hop: returns the value under the header column of the row
4. and: returns the boolean operation result of two arguments
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column
6. nth max/nth min: returns the n-th max/n-th min of the values under the header column
7. argmax/argmin: returns the row with the max/min value in header column
8. nth argmax/nth argmin: returns the row with the n-th max/min value in header column
9. eq/not eq: returns if the two arguments are equal
10. round eq: returns if the two arguments are roughly equal under certain tolerance
11. greater/less: returns if argument 1 is greater/less than argument 2
12. diff: returns the difference between two arguments
13. filter eq/not eq: returns the subview whose values under the header column is equal/not equal to argument 3
14. filter greater/less: returns the subview whose values under the header column is greater/less than argument 3
15. filter greater eq /less eq: returns the subview whose values under the header column is greater/less or equal than argument 3
16. filter all: returns the view itself for the case of describing the whole table
17. all eq/not eq: returns whether all the values under the header column are equal/not equal to argument 3
18. all greater/less: returns whether all the values under the header column are greater/less than argument 3
19. all greater eq/less eq: returns whether all the values under the header column are greater/less or equal to argument 3
20. most eq/not eq: returns whether most of the values under the header column are equal/not equal to argument 3
21. most greater/less: returns whether most of the values under the header column are greater/less than argument 3
22. most greater eq/less eq: returns whether most of the values under the header column are greater/less or equal to argument 3
all_eq { filter_eq { all_rows ; surface ; clay } ; outcome ; runner-up } = true
| [
0.07001428306102753,
-0.13370388746261597,
-0.1123092770576477,
0.11526467651128769,
0.10590184479951859,
-0.11283084750175476,
0.2604362368583679,
0.3680751323699951,
0.18630222976207733,
-0.362623393535614,
-0.5813086032867432,
-0.14546549320220947,
0.28936922550201416,
0.509009242057800... |
Given the task definition and input, reply with output. Write a fact related to the given fact, based on the given topic word. Note that, your fact should have at least one word in common with the given fact. All facts in this task refer to scientific facts. Your related fact must form a chain with the given fact. Chains form when two facts connect together to produce the third fact. An example of a chain is: "pesticides cause pollution" (given fact) + "pollution can harm animals" (related fact) → "pesticides can harm animals" (connected chain). Avoid creating simple paraphrases of the given fact. While your generated fact should be related to the input fact, they must describe slightly different scientific phenomena. It's okay if your related fact includes some irrelevant information, provided that it has some overlap with the given fact and it contains some words corresponding to the provided topic.
Fact: hiding can be used for avoiding predators.
Topic: predators often kill prey.
| [
-0.20989692211151123,
0.9467078447341919,
-0.296885222196579,
0.02934718132019043,
-0.3306751549243927,
-0.8062422275543213,
-0.30386847257614136,
0.823836088180542,
-0.1336251199245453,
-0.08834265917539597,
-1.4649810791015625,
0.8737170100212097,
-0.677196741104126,
-0.10586138069629669... |
Teacher:The input contains texts obtained from news articles, ted talks, movie transcripts, radio transcripts, science and technology texts, and other short articles curated from the web and professional translators. Your task is to translate the given Yoruba sentence into the English language. Please bear in mind the following guidelines while doing the translation: 1) Generated output should be natural language and formal form of each sentence in your language. The output sentence should not be a colloquial form of the input sentence. The generated output should be in natural language which is how you would type your queries in a text-based virtual assistant. 2) The words between quotation marks *SHOULD NOT* be translated. We expect you to keep those values intact and include the quotation marks around them as well. 3) Numbers and fully capitalized words like SEPTEMBER, or 10 HOURS *SHOULD NOT* be translated. Please keep them as they are in the translations. 4) Please do not localize measurement units like miles to kilometers during your translation. 5) Note the input is in sentence case except for special placeholders. Please do the same in your translations.
Teacher: Now, understand the problem? Solve this instance: Ògbógbó àwọ̀n ní ń bi ajáko.
Student: | [
-0.36833715438842773,
0.14025741815567017,
0.347604900598526,
-0.05161064863204956,
0.2904581129550934,
-0.5703034400939941,
0.64793461561203,
0.1522657424211502,
-0.28028279542922974,
-0.2566806375980377,
0.17321383953094482,
0.009262756444513798,
-0.413022518157959,
0.2028929442167282,
... |
You will be given a definition of a task first, then some input of the task.
Turn the given fact into a question by a simple rearrangement of words. This typically involves replacing some part of the given fact with a WH word. For example, replacing the subject of the provided fact with the word "what" can form a valid question. Don't be creative! You just need to rearrange the words to turn the fact into a question - easy! Don't just randomly remove a word from the given fact to form a question. Remember that your question must evaluate scientific understanding. Pick a word or a phrase in the given fact to be the correct answer, then make the rest of the question. You can also form a question without any WH words. For example, "A radio converts electricity into?"
Fact: water vapor chilling causes that water vapor to condense.
Output: | [
0.548526406288147,
1.0674200057983398,
0.19612309336662292,
0.022948073223233223,
-0.20383797585964203,
-0.5501692891120911,
0.7313882112503052,
0.6304693818092346,
0.3065792918205261,
-0.5360320210456848,
-0.9499608278274536,
-0.35734158754348755,
-0.43155965209007263,
0.24801987409591675... |
In this task, you are given a Reddit post as a text. Your task is to generate a short summary for this text. The summary must include a situation which caused humor. The summary should be one or two sentences long.
Q: Text: my second post here, yay. so i was sitting with my friends at lunch at school, and one of my friend's (we'll call him dillpickle) girlfiend comes over, and he gets distracted. so me and my other friend (we'll call him danickinator) decides we should prank dilpickle. so we take his backpack, find his wallet (which for some reason has like $90 in it.), and then throw it at one of our mutual friends (we'll just call her athens) i the shout, "dillpickle! athens took your wallet!" so naturally, he would freak out and try to get the wallet back. but here's a twist: athens actually decided to take $5 out of the wallet. so dillpickle counts his money, and realizes $5 is gone. so he decides to tackle athens and trying to grab the money. he then throws her backpack off to the side. this is where i started to fuck up: i started to film it. use of cell phones during lunch is banned for some reason, so i was taking a risk. so i was filming the entire thing, and then dillpickle lets off for a minute. i whisper to athens "do you still have the $5?" she responds with a nod. "give it to him, i got a plan." i said. take note that i am still filming this. so athens gives up the $5 and i tell dillpickle to come here. i ask "what do you want to say for yourself?" he then decids to hold out the $5 bill and he starts to talk. i then full on snatch the money, and dillpickle tackles me. i'm laughing and crying at the same time, and i pass it over to danickinator. he then gives it back, and it's all good, for like 15 seconds. the assistant principal then walks up and demands my phone, because i was breaking the rules. so i give it to her and the day goes on uneventfully. i walk with danickinator a few minutes later, thinking nothing bad will happen. i instantly remembered something, and i shouted "oh fuck!": i left pornhub on safari. luckily, i wasn't on safari when the principal took the phone away, but i instantly though of the worst: what if they call my mom and she gives them the passcode? so far, i know nothing, and i hope for the good, and not the bad.
A: | [
0.1685713827610016,
0.24236975610256195,
-0.2481689602136612,
-0.4149615466594696,
-0.3663431406021118,
0.00550040090456605,
0.6101866960525513,
0.7667986750602722,
0.3037097454071045,
0.09580640494823456,
-0.34796077013015747,
0.10610730201005936,
-0.7907452583312988,
-0.3671066462993622,... |
In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every even number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no even numbers in an inner list you should output 0 for that list.
Let me give you an example: [[7, -3, -3, 11], [-6, -6, -5, 2], [-8, 4, -3]]
The answer to this example can be: [0, 72, -32]
Here is why: The first inner list has no even integers, so the first number in the output is 0. The second list has -6, -6, 2 for even integers so the second output is 72. The third list has -8, 4 as even numbers so the third output is -32. This is a good example.
OK. solve this:
[[47, -36, -47, 38], [-3, 41, 35, -4, 12], [-23, 13, 21, -40], [-28, 33], [27, 13, -15, -23], [42, 8, 13], [36, -42, -28, -49], [-1, -5, -17, -48, -1], [-5, 2, 47, -16, 24], [50, -13, 29, 12], [14, 1, -15, 24], [-29, -25], [6, -50, -50, -49], [-49, -44, 21, -33], [-40, 9]]
Answer: | [
0.4014938175678253,
0.04256736487150192,
-0.8333859443664551,
-0.31743496656417847,
0.3760238587856293,
-0.5342192649841309,
1.1023082733154297,
0.5824353098869324,
-0.3476036787033081,
-0.150223046541214,
-0.8806380033493042,
0.2593339681625366,
-0.5576465129852295,
-0.12091707438230515,
... |
Given the task definition and input, reply with output. You are given a password and you need to generate the number of steps required to convert the given password to a strong password. A password is considered strong if (a) it has at least 6 characters and at most 20 characters; (b) it contains at least one lowercase letter and one uppercase letter, and at least one digit; (c) it does not contain three repeating characters in a row. In one step you can: (1) Insert one character to password, (2) delete one character from password, or (3) replace one character of password with another character.
password = .1LD9ibAMqMWTOYO1J3MGHz0QXsya
| [
0.16771090030670166,
1.2243154048919678,
0.12412501871585846,
-0.5948574542999268,
-0.1353943645954132,
-0.32294216752052307,
1.256500005722046,
-0.2826657295227051,
0.2654404938220978,
-1.0080612897872925,
-0.09301678836345673,
-0.07347270846366882,
-0.9141126871109009,
-0.204927548766136... |
Detailed Instructions: In this task, you're given a text which is the body of the document. Indicate your answer as "Yes" if the text is about a person, otherwise indicate your answer as "No". Don't generate anything else apart from "Yes" or "No". Pay attention that for your answer to be "Yes", the passage should be generally about a person. Mentions of people in the text don't necessarily mean the text is about a person.
See one example below:
Problem: Text: The third and current HMS Argyll is a Type 23 'Duke' Class frigate. She is currently the oldest serving Type 23 frigate in the Royal Navy. Like all of her class she is named for a British dukedom in this case that of Argyll.
Solution: No
Explanation: HMS Argyll is a frigate which a warship. Clearly the text is not about a person. Hence, the answer is No.
Problem: Text: Eduardo Oropeza (1947 – September 11 2003) is a contemporary artist.A native of California's Silicon Valley and longtime resident of east Los Angeles Oropeza began his academic training with Social Studies. After taking an art course he ultimately changed major and received a Master of Fine Arts degree in sculpture from San Jose State. He follows this with postgraduate work at San Jose San Diego State at Long Beach and Palomar College.
Solution: | [
-0.17615994811058044,
0.15177173912525177,
0.4950152635574341,
-0.08092781901359558,
0.6408523321151733,
-1.1224740743637085,
0.6258376240730286,
0.6914448142051697,
-1.0491726398468018,
0.2249557226896286,
0.7126902937889099,
0.6019265055656433,
0.01046681310981512,
0.12046174705028534,
... |
Definition: You are given a science question (hard-level) and four answer options (associated with "A", "B", "C", "D"). Your task is to find the correct answer based on scientific facts, knowledge, and reasoning. Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D'. There is only one correct answer for each question.
Input: Lasers are used in surgery for
(A) making fine incisions. (B) illuminating operating fields. (C) stitching wounds. (D) disinfecting instruments.
Output: | [
0.08411067724227905,
0.659844160079956,
-0.85430908203125,
-0.1523093581199646,
-0.08564764261245728,
0.3192962408065796,
0.7878620624542236,
-0.03394287824630737,
0.7613446712493896,
-0.37217867374420166,
-0.8390007019042969,
0.533233106136322,
0.6393533945083618,
0.07322363555431366,
0... |
Teacher:In this task you will be given a list of integers. You should find the minimum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the smallest possible absolute distance.
Teacher: Now, understand the problem? Solve this instance: [-90, -4, 86, -14, -100, -93, -96, 15, 10]
Student: | [
-0.7685843110084534,
0.2778957188129425,
0.11750071495771408,
-0.21111154556274414,
-0.12928098440170288,
-0.38167428970336914,
0.9566278457641602,
0.3891395926475525,
0.4246784746646881,
0.1143643856048584,
-0.1478986144065857,
-0.5024701356887817,
-0.45399051904678345,
-0.468463331460952... |
Teacher: Given a phrase describing the relationship between two words, extract the words and the lexical relationship between them. The relation has to be of the type 'MemberOf', 'MadeOf', 'Synonym', 'Entails', 'HasA', 'HasProperty', 'PartOf', 'Antonym' or 'IsA'. The output should have the format: word1 relation word2.
Teacher: Now, understand the problem? If you are still confused, see the following example:
account can be used with the same meaning of report
Solution: account Synonym report
Reason: The output is correct as the input describes the relationship between account and report, and the relation is that of having the same meaning, therefore they have a Synonym relationship.
Now, solve this instance: miss can be used as the opposite of see
Student: | [
0.572877824306488,
0.8239244222640991,
0.4540122151374817,
-0.2465626299381256,
0.28279703855514526,
-0.6752433180809021,
0.11563535034656525,
0.6307566165924072,
0.33731311559677124,
-0.23408135771751404,
-0.16635705530643463,
-0.005125780124217272,
-0.47003889083862305,
0.081181220710277... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to generate a natural language interpretation of the given command.
Here are the definitions of logical operators:
1. count: returns the number of rows in the view
2. only: returns whether there is exactly one row in the view
3. hop: returns the value under the header column of the row
4. and: returns the boolean operation result of two arguments
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column
6. nth max/nth min: returns the n-th max/n-th min of the values under the header column
7. argmax/argmin: returns the row with the max/min value in header column
8. nth argmax/nth argmin: returns the row with the n-th max/min value in header column
9. eq/not eq: returns if the two arguments are equal
10. round eq: returns if the two arguments are roughly equal under certain tolerance
11. greater/less: returns if argument 1 is greater/less than argument 2
12. diff: returns the difference between two arguments
13. filter eq/not eq: returns the subview whose values under the header column is equal/not equal to argument 3
14. filter greater/less: returns the subview whose values under the header column is greater/less than argument 3
15. filter greater eq /less eq: returns the subview whose values under the header column is greater/less or equal than argument 3
16. filter all: returns the view itself for the case of describing the whole table
17. all eq/not eq: returns whether all the values under the header column are equal/not equal to argument 3
18. all greater/less: returns whether all the values under the header column are greater/less than argument 3
19. all greater eq/less eq: returns whether all the values under the header column are greater/less or equal to argument 3
20. most eq/not eq: returns whether most of the values under the header column are equal/not equal to argument 3
21. most greater/less: returns whether most of the values under the header column are greater/less than argument 3
22. most greater eq/less eq: returns whether most of the values under the header column are greater/less or equal to argument 3
eq { hop { argmax { all_rows ; total } ; nation } ; south korea } = true
Output: | [
0.27018383145332336,
-0.2998504042625427,
-0.2027512490749359,
0.4441828429698944,
0.4422154724597931,
-0.2421783059835434,
0.3507089912891388,
0.5567053556442261,
-0.19027894735336304,
-0.18723124265670776,
-0.571391224861145,
-0.27915602922439575,
0.4495071470737457,
0.5118362307548523,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given an article. Your task is to summarize the article in a sentence.
The Steam Packet Company said this was because the P&O fast craft, which is usually chartered to deal with the busy period in June, will not be available.
A spokesman said timetable changes mean fewer sailings from Ireland and the UK.
He added: "Given the current situation, we expect to see a reduction in the total number of bikes we will carry."
The loss of the ship from the Manx fleet next year means fewer sailings from Ireland, Heysham and Liverpool.
"The Ben-my-Chree and Manannan [Steam Packet-owned ships] have already been scheduled to operate additional Belfast sailings to accommodate Irish fans heading to the races," said ferry chief Mark Woodward.
"Adding these extra Irish services means the number of sailings from Heysham and Liverpool is slightly reduced.
'We will keep looking for a replacement charter and have already approached several companies - none at present has indicated a willingness to release vessels".
Output: | [
0.04446722939610481,
0.3194480538368225,
-0.2386610209941864,
-0.9314296245574951,
0.11581940203905106,
-0.9798151254653931,
0.22661516070365906,
0.4590478539466858,
-0.05546785891056061,
0.09780778735876083,
0.3524482846260071,
0.19911320507526398,
-0.41363441944122314,
0.0668825656175613... |
Detailed Instructions: A text is given in Malayalam. Translate it from the Malayalam language to the Tamil language. The translation must not omit or add information to the original sentence.
Problem:നമ്മുടെ വ്യാപാര വാണിജ്യ സാദ്ധ്യതകള് വലിയ വാഗ്ദാനം നല്കുന്നവയാണ്.
Solution: | [
-0.06443314254283905,
1.032104253768921,
0.6779898405075073,
-0.016537437215447426,
-0.29376688599586487,
-0.7728423476219177,
0.1760382056236267,
0.18335023522377014,
-0.5831183195114136,
0.1913519948720932,
-0.5505921840667725,
-0.19775094091892242,
-0.8770643472671509,
0.025374736636877... |
Teacher: In this task you will be given a list of integers. You should remove any integer that is not prime. A prime integer is an integer that is only divisible by '1' and itself. The output should be the list of prime numbers in the input list. If there are no primes in the input list an empty list ("[]") should be returned.
Teacher: Now, understand the problem? If you are still confused, see the following example:
[47, 444, 859, 530, 197, 409]
Solution: [47, 859, 197, 409]
Reason: The integers '444' and '530' are not prime integers and they were removed from the list.
Now, solve this instance: [677, 547, 554, 8, 443, 61, 608]
Student: | [
-0.3025493025779724,
0.0482792854309082,
-0.36635106801986694,
-0.5639136433601379,
0.09356507658958435,
-0.4270130395889282,
0.5873004794120789,
0.7017714977264404,
-0.2732270359992981,
0.23808246850967407,
-0.9107747673988342,
-0.6772059798240662,
-0.3819754123687744,
-0.4211153388023376... |
You will be given a definition of a task first, then some input of the task.
You are given a short text as a title. Your task is to generate a poem as output that is related to the given title and should feel like written by kids. The output should be a run-on sentence (two or more complete sentences connected without any punctuation). The poem should not be too long or too complex, because it should feel like it is written by younger person without high level of literature education.
Mom's toast
Output: | [
-0.47416436672210693,
1.4304145574569702,
0.09267131239175797,
-0.48340532183647156,
-0.4144607186317444,
0.059428296983242035,
0.11298753321170807,
0.7469221949577332,
0.42948028445243835,
-0.44955360889434814,
-0.5270963907241821,
-0.08956892788410187,
-0.6575000286102295,
-0.23117697238... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Galician.
Example: Gracias.
Output: Grazas.
The Spanish sentence is correctly translated into Galician, because the meaning is preserved.
New input case for you: Esto es lo más cercano a una fiesta de danza del vientre oriental que podrán encontrarse jamás en Viena.
Output: | [
-0.7365865707397461,
1.1344952583312988,
0.15476000308990479,
-0.334699422121048,
0.1195065975189209,
-0.825697660446167,
-0.2231408953666687,
1.0423160791397095,
-0.12591110169887543,
-0.16803759336471558,
-0.40611928701400757,
0.31079304218292236,
-0.3511701226234436,
-0.0175443179905414... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Japanese.
[EX Q]: من هم مثل خیلی از شما روز بعد از کریسمس ۲۰۰۴ نشسته بودم ، درحالیکه داشتم اخبار تکان دهنده ی سونامی آسیا رو همونطوری که داشت اتفاق می افتاد و در تلویزیون پخش می شد ، می دیدم.
[EX A]: 私は、皆さん達と同じ様に、 2004年のクリスマス明けに、座ってテレビを見ているとアジアの津波の衝撃機的な映像が飛び込んできました
[EX Q]: سیستم لمبیک در سمت راست این مغزه ، و این درگیر چیزهای مانند پردازش احساسات و پاداش هستند. این احساسات پاداش را خارج از انجام کارهای سرگرم کنند به شما میدهد ، از جمله خطر کردن. این احساسات پاداش را خارج از انجام کارهای سرگرم کنند به شما میدهد ، از جمله خطر کردن.
[EX A]: 大脳辺縁系は脳の深いところにあり感情を整理したりやりがいを感じたりする部分です面白いこと例えばリスキーなことをした時に高揚を感じるのはこの部分です
[EX Q]: بنابراین وقتی حدود ۸ سال پیش این کار را شروع کردیم ۱۷ ٫ ۰۰۰ مبارز از خدمت مرخص شدند.
[EX A]: | [
-0.7397154569625854,
-0.13786126673221588,
-0.15969960391521454,
-0.2913191318511963,
-0.4232102632522583,
-0.05348338931798935,
0.8020868301391602,
0.5506272912025452,
0.07375138998031616,
-0.861803412437439,
-0.6667729020118713,
0.42569321393966675,
-0.6114664077758789,
0.429096549749374... |
Given the task definition and input, reply with output. You are given a statement written in Malayalam. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Statement: <MASK>ത്തിലെ കോഴിക്കോട് ജില്ലയിലെ കുറ്റ്യാടിക്കു സമീപം ചക്കിട്ടപ്പാറ ഗ്രാമപഞ്ചായത്തിലെ പെരുവണ്ണാമൂഴിയിൽ കുറ്റ്യാടി പുഴയുടെ കുറുകെ നിർമ്മിച്ചിരിക്കുന്ന അണക്കെട്ടാണ് പെരുവണ്ണാമുഴി അണക്കെട്ട് . കോഴിക്കോട് നഗരത്തിൽ നിന്നും 55 കി.മി. അകലെയാണ് ഇത് . പ്രാഥമികമായും കുറ്റ്യാടി ജലസേചന പദ്ധതി,യുടെ ഭാഗമായാണ് ഇത് നിർമിച്ചിട്ടുള്ളത് .
Option A: കക്കയം
Option B: KSEB
Option C: കേരള
Option D: ചക്കിട്ടപ്പാറ
| [
0.3451617956161499,
1.1641829013824463,
-0.19797073304653168,
-0.6122662425041199,
-0.19419971108436584,
-0.8844981789588928,
0.03341668099164963,
0.4831605553627014,
0.21684479713439941,
-0.18607564270496368,
-0.3039107322692871,
-0.28217580914497375,
-0.2899806797504425,
-0.4500240385532... |
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'.
See one example below:
Problem: 03:40:40 PM doesn't occur between 5:35:38 and 07:58:59 AM
Solution: False
Explanation: The output of 'False' is correct as the input statement is false, since 03:40:40 PM occurs after 07:58:89 AM and not between 5:35:38(AM) and 07:58:59 AM
Problem: 17 Apr 1992 occured after Mar 03, 2008 but before April 28, 1990
Solution: | [
-0.11174178123474121,
-0.2795867621898651,
-1.0160938501358032,
0.691314160823822,
-0.6692478656768799,
-0.23689806461334229,
-0.18203333020210266,
0.6286287307739258,
-0.47938281297683716,
0.028900381177663803,
-0.8265531063079834,
-0.07058969885110855,
0.020946159958839417,
-0.4835339784... |
Decide the language of that sentence. The language can be English, French, German, Italian, or Spanish.
Q: Text: 'Quiero viajar de día'
A: | [
0.04704643413424492,
0.7627906799316406,
0.72819584608078,
-0.15973131358623505,
-0.558438777923584,
-0.5417706966400146,
-0.18429037928581238,
0.012182521633803844,
-0.43847957253456116,
-0.5607056617736816,
0.2376563549041748,
-0.2857694625854492,
0.02433772012591362,
-0.2824555039405823... |
Given the task definition, example input & output, solve the new input case.
In this task you are given a sentence. You must judge whether subject of the main clause is singular or plural. Label the instances as "Singular" or "Plural" based on your judgment.
Example: Coming from a xenophobic race that possesses the unique ability to pass among other species and chooses not to, the bounty hunter is a walking contradiction.
Output: Singular
"the bounty hunter" is the subject of the sentence which is singular.
New input case for you: She stayed behind a boulder longer than normal and this time, just as she somehow knew he would, the dragon came from overhead.
Output: | [
-0.8378570079803467,
0.4541459381580353,
0.07907068729400635,
-0.10944051295518875,
-0.5421781539916992,
-0.11116397380828857,
0.4410323202610016,
0.627719521522522,
0.06103290617465973,
-0.3433278799057007,
-0.6490373611450195,
-0.20590795576572418,
-0.45462703704833984,
-0.06007300689816... |
Detailed Instructions: In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by 4, if the element is odd you should multiply by 4 then add 2. The output should be a list of numbers that is the result of applying that logic to the input list. You should not round any decimals in the output. Zero should be counted as an even integer.
Q: [82, -54, 89, -76, 26]
A: | [
-1.1550092697143555,
0.6721357703208923,
-0.09101630002260208,
-0.43240129947662354,
0.0215611569583416,
-0.08043252676725388,
1.1837763786315918,
-0.306973397731781,
-0.2737658619880676,
0.23480769991874695,
-0.4184417724609375,
-0.16401252150535583,
-0.19918805360794067,
-0.1602498292922... |
Detailed Instructions: You are given a set of queries separated by '
', and your job is to find out the query which is not a well-formed or well-structured query in terms of grammar, punctuations, or spelling errors.
Problem:What is considered the capital of turkey ?
Where in Montreal can you buy prom dresses ?
What is the state food for nevada ?
What kinda of shampoo does justin biber uses ?
Solution: | [
-0.010447821579873562,
0.16726136207580566,
-0.17257215082645416,
0.03734653443098068,
-0.2923016846179962,
0.8460464477539062,
0.5658021569252014,
-0.262454628944397,
-0.6225364208221436,
0.11885621398687363,
0.1071867048740387,
-0.1625085324048996,
-1.2095651626586914,
0.1113874018192291... |
Given a passage, 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.
Example input: Chronic rhinosinusitis (CRS) is a heterogeneous disease with an uncertain pathogenesis. Group 2 innate lymphoid cells (ILC2s) represent a recently discovered cell population which has been implicated in driving Th2 inflammation in CRS; however, their relationship with clinical disease characteristics has yet to be investigated. The aim of this study was to identify ILC2s in sinus mucosa in patients with CRS and controls and compare ILC2s across characteristics of disease. A cross-sectional study of patients with CRS undergoing endoscopic sinus surgery was conducted. Sinus mucosal biopsies were obtained during surgery and control tissue from patients undergoing pituitary tumour resection through transphenoidal approach. ILC2s were identified as CD45(+) Lin(-) CD127(+) CD4(-) CD8(-) CRTH2(CD294)(+) CD161(+) cells in single cell suspensions through flow cytometry. ILC2 frequencies, measured as a percentage of CD45(+) cells, were compared across CRS phenotype, endotype, inflammatory CRS subtype and other disease characteristics including blood eosinophils, serum IgE, asthma status and nasal symptom score. 35 patients (40% female, age 48 ± 17 years) including 13 with eosinophilic CRS (eCRS), 13 with non-eCRS and 9 controls were recruited. ILC2 frequencies were associated with the presence of nasal polyps (P = 0.002) as well as high tissue eosinophilia (P = 0.004) and eosinophil-dominant CRS (P = 0.001) (Mann-Whitney U). They were also associated with increased blood eosinophilia (P = 0.005). There were no significant associations found between ILC2s and serum total IgE and allergic disease. In the CRS with nasal polyps (CRSwNP) population, ILC2s were increased in patients with co-existing asthma (P = 0.03). ILC2s were also correlated with worsening nasal symptom score in CRS (P = 0.04).
Example output: Are group 2 innate lymphoid cells ( ILC2s ) increased in chronic rhinosinusitis with nasal polyps or eosinophilia?
Example explanation: The question is based on the following sentences from the passage (i) Group 2 innate lymphoid cells (ILC2s) {ii) In the CRS with nasal polyps (CRSwNP) population, ILC2s were increased in patients with co-existing asthma (iii) As ILC2s are elevated in patients with CRSwNP, they may drive nasal polyp formation in CRS. and (iv) They were also associated with increased blood eosinophilia
Q: Lung transplantation is severely limited by an inadequate supply of lungs from brain-dead donors. A potential solution is use of lungs from non-heart-beating donors (NHBDs) with retrieval at intervals after circulatory arrest and death. A warm ischemic period with concomitant reperfusion injury is a major limiting factor in the transplantation of lungs retrieved from NHBDs. We hypothesized that the administration of the nitric oxide-donor nitroglycerin to lungs from NHBDs would reduce ischemia-reperfusion injury by activation of guanylate cyclase to form guanosine 3',5'-cyclic monophosphate (cGMP).", "An in situ isolated perfused rat lung model was used. Lungs were retrieved from rats at varying intervals after circulatory arrest and death. Lungs were either ventilated with O(2) in situ or not ventilated. Lungs were reperfused at intervals after death with Earle's solution with or without nitroglycerin (0.1 mg/ml). Lung ischemia-reperfusion injury was assessed by capillary filtration coefficient, wet-to-dry lung weight ratio, and pulmonary hemodynamics. Tissue levels of adenine nucleotides and cGMP concentrations were measured by high-performance liquid chromatography and enzyme immunoassay, respectively.", 'Reperfusion with nitroglycerin decreased capillary filtration coefficient compared with reperfusion without nitroglycerin at all post-mortem ischemic times, irrespective of pre-harvest ventilation. cGMP levels increased significantly with nitroglycerin-reperfusion and attenuated decreases in high-energy adenine nucleotides.
A: | [
0.44375669956207275,
0.31536465883255005,
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0.63446211814880... |
Teacher:You are given a sentence and a question. You're expected to write an **incorrect** answer to the given question, such that it is relevant to the given sentence. Your answer should not be completely out of context. Try to write short answers with one or two words.
Teacher: Now, understand the problem? Solve this instance: Sentence: A man punches a tire and a wood board for a demonstration. The board if very stiff. Question: Which object do you think is more likely to break?
Student: | [
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0.6948150992393494,
0.8009231686592102,
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0.4255116581916809,
-0.11352360993623734,
0.06737968325614929,
-0.7121679782867432,
-0.16195204854011536,... |
Q: Given a sentence in English, provide an equivalent paraphrased translation in Korean that retains the same meaning both through the translation and the paraphrase.
The friend of Dantès , Fernand Mondego ( Sidney Blackmer ) , accompanies him to the jail .
A: | [
0.5006269216537476,
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0... |
You are given a target person and two sentences. Your task is to determine whether the second sentence conveys either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified notion of a group of people. An anti-stereotype is an idea that goes against the widely held but oversimplified notion of a group of people. Sentences and targets are unrelated if there is no relevance between them.
Target: schoolboy
The teacher told the schoolboy to be sure to do his work. He stayed up all night to be sure to get it all done. | [
-0.33229535818099976,
0.5235351324081421,
0.22833022475242615,
0.004565874580293894,
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0.4143076241016388,
0.8479458689689636,
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Detailed Instructions: You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
Q: how popular of a movie was Madea's Family Reunion?
A: | [
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... |
In this task, you are given a news article. Your task is to classify the article to one out of the four topics 'World', 'Sports', 'Business', 'Sci/Tech' if the article's main topic is relevant to the world, sports, business, and science/technology, correspondingly. If you are not sure about the topic, choose the closest option. Note that URLs in the text have been replaced with [Link].
Terror suspects appeal to Law Lords Nine foreign terror suspects held indefinitely without charge in Britain will challenge their detention before the country #39;s highest court today. | [
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You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence in the Swedish language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Av den anledningen har vi uttalat oss för en uppdelning av budgeten respektive anslag till de olika typerna av åtgärder.
Output: | [
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0.8378012180328369,
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0.23791956901550293,
0.5820776224136353,
-0.5481537580490112,
-0.42340993881225586... |
Generate an overlapping word between the given two sentences. When you find the overlapping words, they don't have to match exactly, e.g., "survival" and "survive" are valid overlapping words. Little words like "the" or "of" don't count! You must generate significant words which are not the stop words.
Example input: Sentence1: pesticides cause pollution.
Sentence2: pollution can harm animals.
Example output: pollution.
Example explanation: The word "pollution" is common to Sentence1 and Sentence2. So, it's a good answer.
Q: Sentence1: Lipids Lipids are diverse hydrophobic molecules.
Sentence2: Steroid hormones are made of diverse hydrophobic molecules.
A: | [
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0.8517758846282959,
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0.6734918355941772,
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-1.2820279598236084,
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-0.7952215671539307,
-0.0792229920... |
Instructions: Given a sentence and an entity, the task is to select the authors sentiment towards the enity. Sentiments can be Positive, Neutral and Negative. Select Positive if the sentence expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the sentence expresses no clear view towards the entity or has equal amounts of positive and negative statements or expressing some fact/quote by someone else. Select Negative if the sentence expresses a negative view towards like harsh remarks, criticizing entities action/decision etc. Note that URLs in the text have been replaced with [Link].
Input: What is the sentiment of the following document towards the entity Keith Miller ? "The numbers don't work for us " said Miller who also chairs an industry group the Coalition of Franchisee Associations. "Ten years ago they might have worked. But now they don't in my opinion."
Output: | [
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0.1415930688381195,
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0.041424382477998734,
0.15372812747955322,
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This task is about translating a given English language sentence to Spanish.
One example: It's this amazing wonderful feeling and you know it when you get it.
Solution is here: Es ese sentimiento asombroso e increíble, y lo reconoces cuando lo sientes.
Explanation: This is a good example because the English sentence has been translated correctly to Spanish.
Now, solve this: I put myself in that terrible place.
Solution: | [
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0.7021945714950562,
0.6260885000228882,
-0.3227677345275879,
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1.1371883153915405,
0.6870718002319336,
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0.5088459253311157,
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0.06461375951766968,
... |
Teacher:You are given a sentence in Italian. Your job is to translate the Italian sentence into Farsi.
Teacher: Now, understand the problem? Solve this instance: Durante la vita, quello che succede è che voi, ovviamente accumulate esperienze differenti.
Student: | [
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0.4633484482765198,
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0.36621010303497314,
-0.07257245481014252,
-0.21416884660720825,
-1.052242398262024,
-0.13805793225... |
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 given an article and an answer. Your task is to generate the question for the answer based on the given article.
Article: There are a lot of public libraries in Britain. These libraries have more than one hundred and fifteen million books, not including those libraries of public schools. Public libraries not only lend books, music records but also help children, patients in hospitals and others to get special play readings, film shows and so on. The first public libraries were founded in about the year 1850. Today's public libraries usually have a reading-room, a lending room and a reference room. The greatest and most famous library in Britain is that of the British Library in London. It was founded in 1973 and has over 10, 000, 000 books. It has nearly every magazine, newspaper and book published in Britain and other parts across the world.
Answer: 10,000,000 or less.
Solution: How many books are there in the British Library?
Why? In the Article, 10,000,000 is mentioned for the number of books available in the British Library, so this is a good question.
New input: Article: Picture a wasteland of old computer monitors and TVs, stretching as far as the eye can see. Imagine towers of boxes, all of them filled with broken glass and discarded electronic devices. Technology graveyards like this can be found in communities across the country. Experts say that landfills and warehouses will overflow unless a plan for the disposal and reuse of electronics is put into place . "We can't put electronics and glass aside and tell ourselves we'll deal with them later ," Lauren Roman , managing director of Transparent Planet said. Roman's group works to improve the disposal of electronic waste. She says about 660 million pounds of tech-trash is produced each year in the U.S. What's behind the tech trash pile-up ?About ten years ago ,major advances were made in computer and television technology . Manufacturers began producing devices like flat -paneled LCDs and plasma screen monitors. These new products provide a clearer image and take up less space than older models. It goes without saying that consumers choose them rather than heavy glass-based technologies. The new electronics are built with materials that are difficult to recycle. In addition, the new products have decreased the demand for recycled parts from the older monitors and screens. Older, heavier computer monitors and TVs used glass-based components called CRTs. CRTs have a high lead content and can be environmentally hazardous if not recycled properly . If crushed and put in landfills, the lead from CUTs could seep into groundwater and rivers, harming the water supply. For many years, plants and recycling programs safely processed CRTs. The recycled CRTs were reused in the construction of new monitors. Monitors being made today do not use glass tubes . "People are returning old -style TVs with CRTs , but no new ones are being made ," said Linnell. This is creating an imbalance in the amount of glass being disposed of and recycled properly. Many recycling companies have shut down. Others no longer have the resources or space to process these materials. This results in stockpiling. However , experts say there are ways to safely and responsibly address the tech-trash problem.
Answer: New technology causes trouble for recyclers.
Solution: | [
0.566468358039856,
0.24471572041511536,
-0.5866380333900452,
0.22047245502471924,
1.2278671264648438,
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0.23502403497695923,
0.35992440581321716,
-0.12795871496200562,
0.0022419835440814495,
0.4086146354675293,
0.5925013422966003,
-0.7080191969871521,
0.5162581205368042... |
Definition: In this task, you are given reviews written about the restaurants in Bengali. You are expected to classify the sentiment of the reviews into two classes: positive or negative.
Input: আমি এই জায়গা ভালবাসা. কোরিয়ান charbroiled মুরগির জন্য মরতে হয়। আমি এখানে বার অনেক ছিলাম এবং আমি গত সময় পর্যন্ত হতাশ হয়েছে না। আমি ঠান্ডা খাদ্য পরিবেশিত হয়, এমনকি মাশরুম স্যুপ সবে উষ্ণ ছিল। আর কিছু আপনার আলু ভর্তা কি ভুল আছে, এটি সাধারণত (গুলশান শাখায়) যাতে মুখরোচক কিন্তু ধানমন্ডি শাখায় আমার গত দুই ভিজিট আমি এটা খুব হতাশ হয়েছিল (শেফ এখানে হতে পারে রেসিপি অধিকার পাচ্ছেন না) যাই হোক, আমি সত্যিই আশা করি আপনাকে বলছি শুধু একটি খারাপ দিন থাকার হয়েছে, কিন্তু দয়া করে নিশ্চিত করুন এই আবার ঘটবে না পারে তা নিশ্চিত ... ভয়ানক খাদ্য মাত্র গ্রহণযোগ্য নয়। আমি অপেক্ষায় থাকলাম আপনি অনেক আরো কয়েকবার দেখার জন্য, আমার জন্য জায়গা নষ্ট করবেন না দয়া করে। ধন্যবাদ
Output: | [
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-0.08234614133834839,
0.36432725191116333,
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0.3253188133239746,
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0.36231130361557007,
0.12833942472934723,
-0.07519713044166565,
-0.09313249588012695,
-0.20402900874614716,
-0.6215587854385376,
-0.145881786942482,
0.31837788224220... |
Detailed Instructions: You are given a question and some answer options (associated with "A", "B", "C", "D"). You should choose the correct answer based on commonsense knowledge. Avoid answering questions based on associations, the set of answers are chosen deliberately to capture common sense beyond associations. Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D', 'E' and only give one answer for each question.
Problem:More people should lower the guard and just have fun, we don't got long just what?
(A)enjoy living (B)happy (C)enjoyable (D)get laid (E)do enjoy
Solution: | [
0.4024898409843445,
0.5361642837524414,
-0.7665684819221497,
-0.6353257894515991,
-0.45775213837623596,
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0.3812628388404846,
0.15520069003105164,
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-0.8281193971633911,
-0.044244956225156784,
-0.742232084274292,
-0.505443394184112... |
In this task, find the most appropriate number to replace the blank (indicated with _ ) and express it in words.
Q: Humans have two lungs, each fed by _ bronchus.
A: | [
0.7988394498825073,
0.9416486024856567,
0.034386686980724335,
-1.0368309020996094,
-0.9355106353759766,
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1.0925381183624268,
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-0.17046678066253662,
-1.121353268623352,
0.009702584706246853,
0.1726594865322113,
-0.4667815566062927,
0.7910616397857666,... |
Given a scientific question, generate a correct answer to it.
What phenomenon makes global winds blow northeast to southwest or the reverse in the northern hemisphere and northwest to southeast or the reverse in the southern hemisphere?
coriolis effect
The properties of the alkali metals are similar to each other as expected for elements in the same what?
family
Why do people build dams and levees?
| [
-0.4374128580093384,
1.4325919151306152,
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0.3362262547016144,
-0.6766359210014343,
-0.6202735900878906,
0.14274999499320984,
-0.04617004469037056,
-0.37942227721214294,
-0.07648938149213791,
-0.39247560501098633,
-0.03212878480553627,
-0.4254222512245178,
-0.14171262085... |
In this task you are given a sentence. You must judge whether the main verb of the sentence is in present or past tense. Label the instances as "Present" or "Past" based on your judgment. If there is no verb in the given text, answer "Present".
[Q]: " It's actually very ugly, " he announced dryly.
[A]: Past
[Q]: Josephine exclaimed with such feeling that one would have thought she had just cursed like a sailor.
[A]: Past
[Q]: " Let me guess, lets head back for dinner. "
[A]: | [
-0.8924444913864136,
0.6122409105300903,
0.35729551315307617,
0.020969107747077942,
0.09937214851379395,
-0.3702957034111023,
0.579109787940979,
0.9551584720611572,
0.09157033264636993,
0.38213402032852173,
-0.33434346318244934,
-0.057112809270620346,
-0.19972634315490723,
-0.4945390820503... |
Definition: Given a pair of words, generate the relation between them. The first word is called the 'concept' and the second word is called the 'relatum' The relation must be one of the following: co-hyponym (coordinate), hypernym, meronym, attribute, event, or random. A coordinate relation indicates that the concept and relatum belong to the same semantic class. A hypernym relation indicates that the relatum is a category of which the concept is a specific instance. A meronym relation implies that relatum is a part/component/organ/member of the concept. An attribute relation is when the relatum is an adjective expressing an attribute of the concept. An event relation holds when the relatum is a verb referring to an action/activity/happening/event that is performed by or with the concept. If the relatum and concept are unrelated, the relation between them is 'random'. Classify your answers into coord, hyper, mero, attri, event, and random.
Input: Concept: tanker, Relatum: bulkhead.
Output: | [
0.37349411845207214,
-0.17603805661201477,
0.6783385276794434,
0.054097067564725876,
-0.4807836413383484,
-0.00046571576967835426,
0.19599997997283936,
-0.009843213483691216,
0.19970643520355225,
-0.619684100151062,
-0.6143819689750671,
0.11338809877634048,
-0.5112485885620117,
0.464420348... |
TASK DEFINITION: In this task, you are given a sentence from the research paper and the category to which it belongs. Your task is to classify whether the given category is correct or not by providing "True" and "False", respectively. Here are the definitions for the 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?). ",
PROBLEM: Sentence: Results : None of the 137 patients ( 61 males , 76 females , aged 20-83 years , median age 57 years ) had a definite history of exposure to Huanan Seafood Wholesale Market.
Section: finding
SOLUTION: True
PROBLEM: Sentence: Practice of meditation or exercise may enhance health to protect against acute infectious illness.
Section: background
SOLUTION: True
PROBLEM: Sentence: outbreaks in schools and in general populations.
Section: finding
SOLUTION: | [
-0.012407459318637848,
0.14871060848236084,
-0.5924755334854126,
-0.8637139797210693,
-0.1739928275346756,
0.4482070803642273,
0.17783203721046448,
1.1732771396636963,
-0.11005900800228119,
-0.4494130313396454,
-0.5433475375175476,
0.4106205105781555,
-0.1724468171596527,
0.232210099697113... |
Definition: You are given a short poem which is written by a kid. Your task is to predict if the kid is in elementary school or high school. Anyone who is from grade 1st to 6th-grade will be considered as in elementary school, and 7th to 12th-grade kids will be considered as in high school. There are only two possible outputs, i.e., elementary and high. All inputs have at least one output and it cannot have both categories at a time.
Input: there once be a lad name jake he love to eat steak one day he go to town and a meet a clown who instead grant him a stake
Output: | [
-0.025576099753379822,
0.9106441140174866,
0.5176888704299927,
-0.21730689704418182,
-0.124068483710289,
-0.7458313703536987,
0.5034489631652832,
0.07351036369800568,
0.4766795039176941,
-0.6132467985153198,
0.04841746762394905,
0.5590132474899292,
-0.05736076086759567,
0.22829562425613403... |
A text is given in Tamil. Translate it from the Tamil language to the Urdu language. The translation must not omit or add information to the original sentence.
Q: بھائیوں اور بہنوں! مرکزی حکومت نے آرٹیکل 370 ہٹانے کے ساتھ ہی فی الحال کچھ وقت کے لئے جموں وکشمیر کو براہ راست مرکزی حکومت کے کنٹرول میں رکھنے کا فیصلہ بہت سوچ سمجھ کرلیا ہے۔
A: சகோதர சகோதரிகளே, 370வது பிரிவு நீக்கப்பட்ட பிறகு, ஆழ்ந்த சிந்தனையைத் தொடர்ந்து ஜம்மு காஷ்மீர் நிர்வாகத்தை தானே வைத்துக் கொள்ள மத்திய அரசு முடிவு செய்துள்ளது.
****
Q: اقلیتی امور کی وزارتت مختار عباس نقوی نے کثیر شعبہ جاتی پروگرام کے تحت رام پور میں ترقیاتی پروگراموں کا افتتاح کیا
A: பலதுறை வளர்ச்சித் திட்டத்தின் கீழ் ராம்பூரில் திரு முக்தார் அப்பாஸ் நக்வி மேம்பாட்டுப் பணிகளைத் தொடங்கிவைத்து அடிக்கல் நாட்டினார்
****
Q: کابینہ نےبھارت اور مراقش کے درمیان تعلیمی لیاقت کو باہمی طور پر تسلیم کرنے میں سہولت کے لئے مفاہمت نامے کومنظوری دی
A: | [
0.067511186003685,
0.34339821338653564,
0.0054634939879179,
-0.4083467721939087,
0.008962832391262054,
-0.7896661758422852,
0.8582882285118103,
0.7147257328033447,
-0.05078192800283432,
0.45503920316696167,
-0.363598495721817,
0.1809530258178711,
-0.34976834058761597,
0.41751086711883545,
... |
In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that seamlessly connects with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick the one that makes more sense.
Input: Consider Input: Title: New Painting. Sentence 1: Tim wanted some art for his apartment. Sentence 2: He went to a goodwill. Sentence 3: They had several cheap pieces there. Sentence 4: Tim picked out a random one he liked. Choices: a. He received several compliments on it. b. Technician came out, fixed the problem, and now the internet is fine.
Output: a
Input: Consider Input: Title: broken. Sentence 1: Ralph was a running back for his team. Sentence 2: The worse thing happened to him. Sentence 3: As he was running with the ball he was tackled by the legs. Sentence 4: He got his leg broken. Choices: a. I was glad I finally told her about my fantasy football decisions. b. He was going to miss the whole football season.
Output: b
Input: Consider Input: Title: Bad Interview. Sentence 1: Jane was running for office. Sentence 2: She agreed to an interview. Sentence 3: During the interview she felt attacked. Sentence 4: She stopped answering questions and stormed off. Choices: a. It hurt her in the polls. b. Jessie's grandmother fixed breakfast in the morning.
| [
0.067880779504776,
0.08293268084526062,
-0.1505672037601471,
0.18244235217571259,
0.7291696667671204,
-0.28919684886932373,
0.5372365713119507,
1.0318243503570557,
-0.010434163734316826,
0.2885614037513733,
-0.6121276021003723,
0.02110997587442398,
0.16700410842895508,
-0.1086815893650055,... |
Part 1. Definition
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).
Part 2. Example
Entity 1: plant
Entity 2: leaf
Answer: yes
Explanation: The answer is correct. Because the leaf is part of the plant. Therefore, here leaf is meronym and the plant is holonym.
Part 3. Exercise
Entity 1: carotene
Entity 2: organic compound
Answer: | [
-0.3386969566345215,
0.30389609932899475,
0.30765414237976074,
-0.014906506985425949,
-0.05867461860179901,
-1.2698328495025635,
0.18201152980327606,
0.7324717044830322,
0.5824786424636841,
-0.3659719228744507,
-0.4529779553413391,
-0.1599923074245453,
-0.3466615080833435,
0.29810452461242... |
Given the task definition and input, reply with output. In this task, you will be shown a passage in Persian. You need to write a question in Persian for the passage. Your question should be answerable based on the passage and only have one correct answer.
مشخصه بیماران مبتلا به اختلال شخصیت بدگمان ( پارانوئید به انگلیسی:(Paranoid personality disorder (PPD)، شکاکیت و بی اعتمادی دیرپا به همه افراد است. مسئولیت این احساسات از نظر آنها نه به عهده خود آنها، که بر دوش دیگران است. این بیماران اغلب متخاصم، تحریک پذیر و خشمگیناند. افراد متعصب و جزم اندیش، کسانی که مدارکی دال بر تخلف دیگران از قانون جمع میکنند، افرادی که به همسر خود سوءظن دارند، و اشخاص بدعنقی که اهل دعوا و مرافعه اند، اغلب دچار اختلال شخصیت پارانوئید هستند. از آنجایی که تنها اندیشههای شخص پارانوید تحت تأثیر این بیماری قرار میگیرند، فرد مبتلا به این اختلال معمولاً میتواند زندگی روزمره خود را پیش ببرد اما زندگی آنها ممکن است محدود و منزوی باشد.
| [
-0.2150825560092926,
0.030587075278162956,
-0.7692156434059143,
-0.6614710092544556,
-0.9121977090835571,
0.619096577167511,
1.7579089403152466,
0.39273250102996826,
0.14360535144805908,
0.0327564999461174,
-1.2311146259307861,
0.5214364528656006,
-0.8073945045471191,
0.34852486848831177,
... |
You will be given a definition of a task first, then some input of the task.
Write a correct answer to the given question based on its associated fact. Make sure that your answer is contained in the associated fact. Don't be creative and introduce any new word that is not mentioned in the associated fact! Remember that the associated fact has been rearranged to form the question. So, the correct answer words must lie within the associated fact. The correct answer can be a word, phrase, or even a sentence.
Fact: Gravity pulls objects around the sun.
Question: What pulls objects around the sun?
Output: | [
0.45050522685050964,
1.1168818473815918,
0.043954573571681976,
-0.1271689236164093,
-0.5822584629058838,
-1.2733427286148071,
0.35307013988494873,
0.3511757254600525,
0.24966806173324585,
-0.5744762420654297,
-1.0548663139343262,
0.17847687005996704,
-0.27659305930137634,
0.055954009294509... |
In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is -
'.': Period symbol is used for symbols denoting Punctuations/Separations such as comma, period, backticks etc.,
'ADJ': Adjectives are words that typically modify nouns and specify their properties or attributes,
'ADP': Adposition is a cover term for prepositions and postpositions,
'ADV': Adverbs are words that typically modify verbs for such categories as time, place, direction or manner,
'CONJ': A word used to connect clauses or sentences or to coordinate words in the same clause,
'DET': Determiners are words that modify nouns or noun phrases and express the reference of the noun phrase in context,
'NOUN': Nouns are a part of speech typically denoting a person, place, thing, animal or idea,
'NUM': A numeral is a word, functioning most typically as a determiner, adjective or pronoun, that expresses a number and a relation to the number, such as quantity, sequence, frequency or fraction,
'PRT': Particles are function words that must be associated with another word or phrase to impart meaning and that do not satisfy definitions of other universal parts of speech,
'PRON': Pronouns are words that substitute for nouns or noun phrases, whose meaning is recoverable from the linguistic or extralinguistic context,
'PROPN': A proper noun is a noun (or nominal content word) that is the name (or part of the name) of a specific individual, place, or object,
'VERB': A verb is a member of the syntactic class of words that typically signal events and actions, can constitute a minimal predicate in a clause, and govern the number and types of other constituents which may occur in the clause,
'X': The tag X is used for words that for some reason cannot be assigned a real part-of-speech category.
Input: Consider Input: Sentence: Each morning at {{ five }} Fogg crawled out of bed to bundle into flying togs over the furnace register of his home .
Word: five
Output: NUM
Input: Consider Input: Sentence: His formula will have to be weighed , may be altered or {{ improved }} , and it should be tested on additional bodies of material .
Word: improved
Output: VERB
Input: Consider Input: Sentence: The royalty applies to both principal and interest , but it never exceeds 5 {{ percent }} .
Word: percent
| [
0.571503758430481,
0.26079249382019043,
-0.03427983075380325,
0.014698458835482597,
0.03210945054888725,
-0.7043569684028625,
0.6782222986221313,
0.7793894410133362,
-0.4962567687034607,
-0.17419083416461945,
-0.6735538244247437,
0.0644461065530777,
-0.7202303409576416,
0.36596623063087463... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether it is plausible for the Head to desire the Tail or not. In this task, desire means desires of sentient entities. For example, doctors likely desire to cure a patient. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Example Input: Head: person<sep>Tail: 1337
Example Output: Yes
Example Input: Head: PersonX arrives home from work<sep>Tail: none
Example Output: No
Example Input: Head: PersonX achieves PersonX's dream<sep>Tail: to be an astronaut
Example Output: | [
0.15457290410995483,
0.026666829362511635,
0.012112874537706375,
-0.10465461760759354,
-0.6522786617279053,
-0.5916118621826172,
1.0398081541061401,
0.32146722078323364,
-0.4291785955429077,
-0.36658957600593567,
-0.966620147228241,
-0.1444774568080902,
-0.7728395462036133,
0.0524389743804... |
Detailed Instructions: In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is potentially offensive to anyone (i.e., a subset of people, any particular person, etc.), 2) no, otherwise. Note that potentially offensive posts can contain sexual, racial, religious biased or offensive language. Warning: the examples and instances may contain offensive language.
See one example below:
Problem: #RPDR FUCKING FARRAH MOAN, HAVE YOU NEVER WATCHED THIS SHOW. WHEN YOU GET THE CALL, TAKE A LESSON.
Solution: Yes
Explanation: (Correct Answer) This post is aggressive and berates a person for not having watched a show. Therefore the correct answer is 1/Potentially Offensive.
Problem: Ion like doll face hoes
Solution: | [
0.12620574235916138,
0.10861320793628693,
0.6124323606491089,
0.023931868374347687,
0.02760366164147854,
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0.7363878488540649,
0.32404378056526184,
0.4952316880226135,
0.03342094272375107,
-0.42676520347595215,
-0.13064351677894592,
-0.5525405406951904,
-0.694835126399993... |
Definition: In this task you are given a sentence. You must judge whether subject of the main clause is singular or plural. Label the instances as "Singular" or "Plural" based on your judgment.
Input: " The twins are where ? "
Output: | [
-1.145763874053955,
0.6237252950668335,
0.21233029663562775,
-0.5177740454673767,
-0.3970812261104584,
0.19105321168899536,
0.597049355506897,
-0.10831131786108017,
0.17799746990203857,
-0.30556657910346985,
-0.8703213930130005,
0.4700857996940613,
-0.708949863910675,
-0.01634734682738781,... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Galician. Your job is to translate the Galician sentence into Hebrew.
Pero o que converte esta idea en algo xenial son os datos.
Output: | [
-0.7735300064086914,
0.475273996591568,
-0.2876732051372528,
-0.4166836142539978,
-0.5352544188499451,
-0.48767733573913574,
0.5564800500869751,
0.2329334020614624,
0.3913082778453827,
0.10546503961086273,
-0.2586916983127594,
-0.19349753856658936,
-0.570895254611969,
0.24540191888809204,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you need to Translate Czech text to English.
Valchovaná filtrační textilie, určená zejména pro hrubou a středné jemnou filtraci velkých objemů atmosférického vzduchu, sestává ze syntetického, zejména polyesterového vlákenniho rouna, na jehož^jedné straně je vpichováním přichycena mřížková textilie, zejména galonová pletenina, zhotovená z nití z nekonečných syntetických vláken, která jsou v místech mřížkových ok vzájemně pevně spojené. Mřížková textilie je hmotnosti 25 až 55 g/m^ .a její mřížková oka mají průměr i až 6 mm. 2 Hmotnost rouna je v rozmezí 100 až 400 g/m. Vpichovaná filtrační textilie je průsvitná, měkká a pružné struktury a na straně mřížkové textilie může být mírně netavená.
Output: | [
-0.23458145558834076,
-0.04661094397306442,
-0.28560948371887207,
-0.155340313911438,
-0.365481972694397,
-0.21746517717838287,
0.5469458699226379,
0.681747317314148,
0.04549844563007355,
0.9043070673942566,
-0.38189640641212463,
0.01510076504200697,
-0.36379384994506836,
0.429662734270095... |
Given a sentence in the Japanese and Lao language. Your task is check if the Lao sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
One example is below.
Q: Japanese: 詳細は昨日UTC17時30分、英国議会でイギリスのルス・ケリー運輸大臣によって伝えられた。
Lao: ຂໍ້ມູນໄດ້ຖືກສະໜອງໂດຍ ເລຂາທິການຂົນສົ່ງ ສະຫະລາຊະອານາຈັກ ຣູດ ເຄລີ່ ໃນສະພາຕໍ່າ ທີ່ 1730 UTC ມື້ວານນີ້.
A: Yes
Rationale: The converted Lao sentence is correctly translated from Japanese because converted sentence has the same message as the original Japanese sentence that Details were given yesterday in the House of Commons at 1730 UTC by Britain's Transport Secretary Ruth Kelly.
Q: Japanese: この後、イライラが積もったムセベニはBBCで「カナダ首相が私に会いに来て、そして、彼は何について話していたか？ゲイだ」と話した。
Lao: ນອກຈາກການຝືກແອບຂອງທະຫານ Veteranc Affairs Canada ໄດ້ຈັດງານລ້ຳລືກໃນຍົນເຖິງ HMCS Toronto ເພື່ອເປັນກຽດໃຫ້ແກ່ ຄົບຮອບ 55 ປີ ຂອງ ສົງຄາມໄຟໃນ ເກົາຫຼີ ຄົບຮອບ 65 ປີຂອງ ສົງຄາມຂອງແອັດແລນຕິກ ແລະ ການເລີ່ມຕົ້ນຂອງ 100 ມື້ສຸດທ້າຍຂອງສົງຄາມໂລກຄັ້ງທີໜຶ່ງ.
A: | [
-0.211771622300148,
-0.21199172735214233,
-0.32648158073425293,
0.12594449520111084,
0.16350057721138,
-0.6603636741638184,
0.6140797138214111,
0.8532912731170654,
-0.1599714607000351,
-0.882067859172821,
-0.030755063518881798,
0.6417698860168457,
0.022288240492343903,
0.9261149168014526,
... |
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