inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
In this task you are expected to provide an SQL statement from an english description of what that SQL statement does. The description may include multiple steps but you should only ouput one SQL statement that accomplishes every step. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
One example: Step 1: For each row in Movie table, find the corresponding rows in Rating table.
Step 2: find each value of director in the results of step 1 along with the summation of stars of the corresponding rows to each value
Solution is here: SELECT T1.title , Sum ( T2.stars ) FROM Movie AS T1 JOIN Rating AS T2 ON T1.mID = T2.mID GROUP BY T1.director
Explanation: This SQL statement uses a "JOIN" statement to combine the "Movie" and "Rating" table then find the corresponding rows by comparing the movie id, which accomplishes step 1. Finally the SQL statement groups the values by each director and returns the title of each movie and the sum of all the stars, which accomplishes step 2. This is a good example.
Now, solve this: find the minimum Company, the maximum Market_Value and the average Market_Value in company table
Solution: | SELECT Min ( Company ) , Max ( Market_Value ) , Avg ( Market_Value ) FROM company | 6 | NIv2 | task077_splash_explanation_to_sql | fs_opt | [
0.4598384499549866,
0.6244292855262756,
-1.204984188079834,
0.9163190126419067,
-0.1788124144077301,
-0.1969401240348816,
0.669075608253479,
1.0047633647918701,
-0.42379680275917053,
0.19520291686058044,
0.4284493923187256,
0.25950711965560913,
0.0592568963766098,
0.18294896185398102,
0.... |
Definition: In this task, you need to answer 'Yes' if the given word is the longest word (in terms of number of letters) in the given sentence, else answer 'No'. Note that there could be multiple longest words in a sentence as they can have the same length that is the largest across all words in that sentence.
Input: Sentence: 'there is a blue toilet and a white sink in this bathroom'. Is 'sink' the longest word in the sentence?
Output: | No | 2 | NIv2 | task114_is_the_given_word_longest | zs_opt | [
-0.5717111825942993,
0.48310989141464233,
0.03492021933197975,
-0.06193637102842331,
0.04960685223340988,
-0.08771735429763794,
-0.20202015340328217,
0.4958304762840271,
0.3424048125743866,
0.1606200635433197,
-0.03713057190179825,
0.11164367198944092,
-0.06383341550827026,
0.0772388651967... |
Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building blocks for a command. There are only six actions: 'I_LOOK', 'I_WALK', 'I_RUN', 'I_JUMP', 'I_TURN_LEFT', and 'I_TURN_RIGHT'. These actions respectively align with the commands 'look', 'walk', 'run', 'jump', 'turn left', and 'turn right'. For commands, 'left' and 'right' are used to denote the direction of an action. opposite turns the agent backward in the specified direction. The word 'around' makes the agent execute an action while turning around in the specified direction. The word 'and' means to execute the next scope of the command following the previous scope of the command. The word 'after' signifies to execute the previous scope of the command following the next scope of the command. The words 'twice' and 'thrice' trigger repetition of a command that they scope over two times or three times, respectively. Actions and commands do not have quotations in the input and output.
I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_TURN_RIGHT I_WALK I_TURN_RIGHT I_TURN_RIGHT I_WALK
walk opposite right twice after jump around right twice
I_TURN_RIGHT I_TURN_RIGHT I_RUN I_TURN_RIGHT I_TURN_RIGHT I_RUN I_TURN_RIGHT I_TURN_RIGHT I_RUN I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK
look left twice after run opposite right thrice
I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP
| jump right after jump right twice
| 0 | NIv2 | task127_scan_long_text_generation_action_command_all | fs_opt | [
0.32671797275543213,
0.7214865684509277,
-0.42426061630249023,
0.10287293791770935,
-0.04773571342229843,
0.28672483563423157,
0.08645808696746826,
0.824349045753479,
-0.33492112159729004,
-0.16601911187171936,
-0.8752774000167847,
-0.29419413208961487,
-0.6595375537872314,
-0.061050362884... |
Detailed Instructions: Translate from Hindi to English such that it preserves the original meaning Perform complete translation (partially translated sentences are considered incorrect).
Q: तुम मांगो.
A: | You ask. | 9 | NIv2 | task1323_open_subtitles_hi_en_translation | zs_opt | [
-0.01599111221730709,
0.5463874340057373,
0.27522483468055725,
-0.18690139055252075,
-0.16040650010108948,
-1.2004770040512085,
0.4051353335380554,
-0.3177042305469513,
-0.6026454567909241,
-0.22487089037895203,
0.39853084087371826,
0.28353384137153625,
-0.41870608925819397,
0.637850105762... |
Q: Given a real-life anecdote of a complex ethical situation, generate a suitable title that describes the main event/root cause of the situation. Imagine that the given text is a social media post, and you have to write the title of the post, so the users can decide to read the main text or not.
So tonight my dad walked in and wanted to know my grades. He overreacts to everything and tends to overcorrect it. So I avoided telling him. I never gave him access to my grades so he had to ask me. He does pay for a part of my college. The rest of it is covered by scholarship. With that being said I've been talking with my counselor and have worked out a solution that works and still allows me to graduate in 4 years. I failed 3 classes last semester because of depression and burnout. That is my responsibility but I I'm trying to fix my mistake. I told them that I would not allow him access to my account and that he didn't have the right even if he paid. He told me I was a terrible son, and that I should be ashamed of myself. I asked him to get out, and my memory is not perfect but it led to him punching me in the face. I got angry and punched him in the shoulder. He looked aghast and told me that I had to move out by tomorrow because he didn't want to son like me. I'm going to talk to him tomorrow and hope that we can come to some sort of compromise. Not because I'm afraid of moving out, but because I want to say that I tried to fix our relationship. Am I the asshole here? I fully respect it if I am.
A: | punching my dad in the shoulder | 7 | NIv2 | task500_scruples_anecdotes_title_generation | zs_opt | [
0.12952062487602234,
0.34601858258247375,
0.19086864590644836,
-0.7974643111228943,
-0.14359807968139648,
0.006956140045076609,
0.506177544593811,
1.050935983657837,
0.1290910691022873,
0.27637460827827454,
0.36311909556388855,
0.8505134582519531,
-1.3097541332244873,
-0.28281229734420776,... |
You will be given a definition of a task first, then some input of the task.
In this task, you need to answer 'Yes' if the given word is the longest word (in terms of number of letters) in the given sentence, else answer 'No'. Note that there could be multiple longest words in a sentence as they can have the same length that is the largest across all words in that sentence.
Sentence: 'a person using a spoon to eat dessert'. Is 'dessert' the longest word in the sentence?
Output: | Yes | 1 | NIv2 | task114_is_the_given_word_longest | zs_opt | [
-0.30612578988075256,
0.8312538862228394,
0.41503068804740906,
-0.15178124606609344,
-0.29746365547180176,
-0.267452597618103,
0.2918158769607544,
0.5371389389038086,
0.007960858754813671,
-0.5403463840484619,
-0.2945683002471924,
-0.27701136469841003,
-0.1166263222694397,
-0.2175504267215... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Sentence 2 contradicts sentence 1. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the sentence.
Example: Sentence 1: Jon saw his friend Tom coming out of the grocery store with a bag of fruit. Sentence 2: Tom had not been in the store.
Example solution: Tom had been shopping for fruit to give Jon.
Example explanation: The given sentence is a good alteration. If the changed sentence was something like: "Tom had been sleeping in his house in that time", it'd contradict the first sentence. But this given sentence neither agrees with the first sentence, nor contradicts it.
Problem: Sentence 1: A new sports car exhibition in the city of Angeles world exhibition day in Los Angeles, California. Sentence 2: A boat show is taking place in LA, California.
| Solution: It is raining. | 5 | NIv2 | task185_snli_contradiction_to_neutral_text_modification | fs_opt | [
-0.2972317934036255,
0.2560577094554901,
0.8838725686073303,
-0.5425994396209717,
0.13856394588947296,
-0.7411425113677979,
-0.777451753616333,
0.8515421152114868,
-0.04712101072072983,
-0.28125423192977905,
-0.8861901760101318,
-0.5577034950256348,
-0.6535294651985168,
-0.4860959649085998... |
You are given a statement in Croatian, a question word and four choices in Croation. If the question word is "cause", you should choose the option that is most likely to be the cause of the statement. If the question word is "effect", you should pick the choice that is most likely to be a consequence of the statement. Write the exact text of the choice, not the number.
One example: Statement: Posluživanje u restoranu bilo je sporo.
Question: cause
Choice 1: Pozorno je pratio nastavu.
Choice 2: Bilo je mnogo praznih stolova.
Choice 3: Bio sam na koncertu.
Choice 4: Restoran je bio pretrpan.
Solution is here: Restoran je bio pretrpan.
Explanation: The most likely cause of the slow service is the restaurant being crowded, which is the fourth choice.
Now, solve this: Statement: Otac je isključio djeci televizor.
Question: cause
Choice 1: Djeca su gledala crtiće.
Choice 2: Krenuo je na fakultet.
Choice 3: Djeci je bilo vrijeme za spavanje.
Choice 4: Štucnuo sam.
Solution: | Djeci je bilo vrijeme za spavanje. | 6 | NIv2 | task1628_copa_hr_question_answering | fs_opt | [
0.5006483197212219,
0.7589967250823975,
-0.5207575559616089,
0.27542173862457275,
-0.46007102727890015,
-0.35056596994400024,
0.8589061498641968,
0.3676091730594635,
0.038056209683418274,
0.1084287017583847,
0.007007191888988018,
0.5469541549682617,
-0.5623870491981506,
-0.2169566154479980... |
Detailed Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Portugese.
Problem:בואו נקרא לו בוב.
Solution: | Vamos chamar Bob a esse gestor. | 8 | NIv2 | task1114_ted_translation_he_pt | zs_opt | [
-0.054429639130830765,
0.6828917264938354,
-0.20756840705871582,
-0.3192019462585449,
-0.1776048094034195,
-0.12031523883342743,
0.5072770714759827,
0.12020739167928696,
0.804200291633606,
-0.686813235282898,
-0.36834248900413513,
0.014968211762607098,
-0.7059838771820068,
0.13671967387199... |
In this task, you are given a sentence from the Bible in Persian, and your task is to translate it into English.
پس این سخن بنظر فرعون و بنظر همه بندگانش پسند آمد. | And let them gather all the food of those good years that come, and lay up corn under the hand of Pharaoh, and let them keep food in the cities. | 0 | NIv2 | task654_bible_fa_en_translation | zs_opt | [
0.428170382976532,
1.1623746156692505,
-0.25754451751708984,
-0.2073831856250763,
-0.554131269454956,
0.1318722367286682,
0.7169129848480225,
-0.044178202748298645,
1.1203041076660156,
-0.17454463243484497,
-1.1458373069763184,
0.5115410089492798,
-1.003934383392334,
0.21345067024230957,
... |
Q: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the sentence.
Sentence 1: Two monks descend down stairs. Sentence 2: The monks are praying
A: | two monks are walking | 7 | NIv2 | task189_snli_neutral_to_contradiction_text_modification | zs_opt | [
-0.7700366973876953,
0.6844338178634644,
-0.09082499146461487,
-0.2603764235973358,
-0.01534651592373848,
-0.5404127240180969,
0.00032378011383116245,
0.43037912249565125,
0.30164843797683716,
-0.4017285704612732,
-0.9237231016159058,
-0.37351271510124207,
-0.3512849807739258,
-0.149064719... |
Teacher: In this task, you are given a sentence which is either in the Hindi language or English language. You task is to identify the language of input sentence. Input sentence can be in Hindi or English language only and also it cannot have two languages at a time.
Teacher: Now, understand the problem? If you are still confused, see the following example:
The first two were found unreliable and the prosecution case rested mainly on the evidence of the remaining five approvers .
Solution: English
Reason: Input sentence is in English language as all the characters are of English alphabets only.
Now, solve this instance: It may also cause acute irritation of the eye membranes resulting in tears and redness .
Student: | English | 2 | NIv2 | task427_hindienglish_corpora_hi-en_language_identification | fs_opt | [
0.1949649155139923,
0.17643767595291138,
0.8759894967079163,
-0.1264367699623108,
0.60356605052948,
-0.7069235444068909,
-0.2121424376964569,
0.8122966885566711,
0.3693057596683502,
-0.7983282208442688,
-0.5356907844543457,
-0.22970543801784515,
-0.08193178474903107,
-0.6459066867828369,
... |
Teacher:You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Spanish.
Teacher: Now, understand the problem? Solve this instance: Vamos falar então da armadilha da procura perpétua.
Student: | Hablemos de la trampa de la búsqueda perpetua. | 6 | NIv2 | task1276_ted_translation_pt_es | zs_opt | [
-0.6071537733078003,
0.9740820527076721,
0.13252845406532288,
-0.6546081900596619,
-0.5626909732818604,
-0.6644266247749329,
-0.24838212132453918,
1.03928542137146,
0.510756254196167,
-0.2593567967414856,
-0.24276688694953918,
-0.14535462856292725,
-0.5428385734558105,
-0.21610017120838165... |
TASK DEFINITION: In this task, you're given the beginning and the ending of a three-part story. Your job is to complete the short story by writing a middle sentence that seamlessly connects the first and last sentence. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating the middle sentence, and use names (e.g. Jack, Barbara,...) instead of pronouns (e.g. he / she) wherever possible.
PROBLEM: Beginning: Sally goes to a school with lots of other kids. Ending: She was very grateful.
SOLUTION: Sally made many friends.
PROBLEM: Beginning: Jane was a writer for her high school paper. Ending: It turns out there were no ghosts it was just the night janitors.
SOLUTION: Jane stayed late to finish, and heard a weird noise!.
PROBLEM: Beginning: Today I was cooking hamburgers inside. Ending: Now I have a blister.
SOLUTION: | I burned myself on the stove.
| 8 | NIv2 | task067_abductivenli_answer_generation | fs_opt | [
-0.38104861974716187,
0.6706777811050415,
-0.31493961811065674,
-0.24379388988018036,
-0.3808872103691101,
0.11939696222543716,
0.6969772577285767,
0.6202603578567505,
-0.19741591811180115,
-0.24813908338546753,
-0.313464492559433,
0.5085429549217224,
0.04067041724920273,
-0.22944533824920... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence.
Who did the Han Chinese want to help the Khitan no I mean the Mongols fight?
Solution: Who did the Han Chinese want to help the Mongols fight?
Why? The input initially means Khitan and then changes to Mongols, hence this is correct.
New input: What part of the Rhine flows through Low uh rather North Rhine-Westphalia?
Solution: | What part of the Rhine flows through North Rhine-Westphalia? | 0 | NIv2 | task1195_disflqa_disfluent_to_fluent_conversion | fs_opt | [
-0.7747429013252258,
0.9614752531051636,
0.0044314502738416195,
-0.7132779359817505,
-0.02540312334895134,
-0.6020218729972839,
1.1550045013427734,
0.6357647180557251,
0.3219223916530609,
-0.24441614747047424,
-0.5849630832672119,
-0.6548076868057251,
-0.6518937945365906,
0.315580248832702... |
In this task, you are given an input list A. You need to find all the elements of the list that are numbers in the same order as they appear in the list A.
One example is below.
Q: ['238', 'h', '92', 'U', '2799']
A: 238, 92, 2799
Rationale: Here, the numbers in the input list in order are '238', '92' and '2799'.
Q: ['F', '3741', 'm', 'V', 'c', 'B', 'K', '9207', '8851', '7473', 'X', 'U', 't', 'k', 'O', '2551', 'o', '4447', 'u', '7189', '7069', 'o', '6937', 'C', '3615', 'e']
A: | 3741, 9207, 8851, 7473, 2551, 4447, 7189, 7069, 6937, 3615 | 9 | NIv2 | task497_extract_all_numbers_from_list_in_order | fs_opt | [
-0.2831067442893982,
0.3057357966899872,
-0.8869502544403076,
-0.530017614364624,
0.006080501712858677,
-0.42540937662124634,
0.42749476432800293,
-0.5466972589492798,
-0.5174184441566467,
0.4922589957714081,
-0.6078324317932129,
-0.5918635725975037,
0.19394804537296295,
0.1621464788913726... |
Detailed Instructions: In this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Romanian language.
Problem:Two men are waiting for a ride on the side of a dirt road.
Solution: | Doi bărbați așteaptă să fie luați cu mașina pe marginea unui drum de pământ. | 8 | NIv2 | task1436_ro_sts_parallel_language_translation_en_to_ro | zs_opt | [
-0.3424578905105591,
0.8316099643707275,
-0.10844859480857849,
-0.5554656982421875,
-0.3260688781738281,
0.04459577053785324,
0.6823253035545349,
0.6563032269477844,
1.3411612510681152,
0.07447782158851624,
-0.14520955085754395,
0.5452024340629578,
-0.07808235287666321,
-0.5798352360725403... |
In this task you will be given a list of numbers and you need to subtract every value in the list with the index it is at. The index of an elements shows its numerical order in the list(for example, in the list [7,10,4,5], the index of 7 is 1 and the index of 4 is 3) You should start the index at 1, so the first element in the list will be subtracted by one. For every element in the list you need to find "element - index" where the index of the beginning element is 1 and increments by 1 for each element. Put your result list in brackets.
[19, -3, -20, 17, 15, -12, 4, 4] | [18, -5, -23, 13, 10, -18, -3, -4] | 0 | NIv2 | task096_conala_list_index_subtraction | zs_opt | [
-0.005296784918755293,
0.2929410934448242,
-0.534644603729248,
-0.0819946676492691,
0.3025447428226471,
-0.15688684582710266,
1.1100590229034424,
0.4342329800128937,
0.013210911303758621,
-0.10694348812103271,
-0.8330931663513184,
-0.3511878252029419,
-0.4359612464904785,
0.114975757896900... |
You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
[Q]: Category: QUOTHE THE FILM
Clue: "Get busy livin
[A]: the shawshank redemption
[Q]: Category: VOYEUR INFORMATION
Clue: Catch a glimpse of the footprint seen here & you're treading around this location where it was made
[A]: the moon
[Q]: Category: A SNAKE IN THE CATEGORY
Clue: In mythology, the Ouroboros is a snake or dragon with this in its mouth
[A]: | its tail
| 5 | NIv2 | task308_jeopardy_answer_generation_all | fs_opt | [
-0.29697275161743164,
1.3034029006958008,
-0.35799354314804077,
-0.39073312282562256,
-0.7611266374588013,
-0.36287176609039307,
0.31428349018096924,
0.006430318113416433,
-0.19917750358581543,
-0.7031010389328003,
0.4210180640220642,
-0.26268666982650757,
-0.7683206796646118,
0.3637968897... |
In this task, you are given an abstract of article. Your task is to generate title for this article. Preferred titles are under thirty words.
[Q]: BACKGROUND Chronic obstructive pulmonary disease (COPD) has a high prevalence rate in Germany and a further increase is expected within the next years. Although risk factors on an individual level are widely understood, only little is known about the spatial heterogeneity and population-based risk factors of COPD. Background knowledge about broader, population-based processes could help to plan the future provision of healthcare and prevention strategies more aligned to the expected demand. The aim of this study is to analyze how the prevalence of COPD varies across northeastern Germany on the smallest spatial-scale possible and to identify the location-specific population-based risk factors using health insurance claims of the AOK Nordost.
METHODS To visualize the spatial distribution of COPD prevalence at the level of municipalities and urban districts, we used the conditional autoregressive Besag-York-Mollié (BYM) model. Geographically weighted regression modelling (GWR) was applied to analyze the location-specific ecological risk factors for COPD.
RESULTS The sex- and age-adjusted prevalence of COPD was 6.5% in 2012 and varied widely across northeastern Germany. Population-based risk factors consist of the proportions of insurants aged 65 and older, insurants with migration background, household size and area deprivation. The results of the GWR model revealed that the population at risk for COPD varies considerably across northeastern Germany.
CONCLUSION Area deprivation has a direct and an indirect influence on the prevalence of COPD. Persons ageing in socially disadvantaged areas have a higher chance of developing COPD, even when they are not necessarily directly affected by deprivation on an individual level. This underlines the importance of considering the impact of area deprivation on health for planning of healthcare. Additionally, our results reveal that in some parts of the study area, insurants with migration background and persons living in multi-persons households are at elevated risk of COPD.
[A]: Who is where at risk for Chronic Obstructive Pulmonary Disease? A spatial epidemiological analysis of health insurance claims for COPD in Northeastern Germany
[Q]: INTRODUCTION Topiramate (TOP) blocks glutamate receptors and facilitates GABA (γ-aminobutyric acid) neurotransmission, effects that may facilitate smoking cessation. We compared the effects of behavioral counseling combined with (a) TOP, (b) TOP/nicotine patch (TOP/NIC), or (c) placebo (PLC) for smoking cessation.
METHODS We conducted a 10-week randomized trial in which subjects and research personnel were blinded to TOP versus PLC but not to the TOP/NIC patch condition. In groups receiving TOP, the medication dosage was titrated gradually up to 200 mg/day. The smoking quit date (QD) was scheduled after 2 weeks of medication treatment. NIC (21 mg) was started on the QD in subjects randomized to the TOP/NIC condition. The main outcome measure was the end-of-treatment, 4-week continuous abstinence rate (CAR; biochemically confirmed).
RESULTS Fifty-seven subjects were randomized to treatment. The 4-week CAR was 1 of 19 (5%) in the PLC group, 5 of 19 (26%) in the TOP group, and 7 of 19 (37%) in the TOP/NIC group (p = .056). Pairwise comparisons showed a difference between TOP/NIC and PLC (p = .042) and a nonsignificant difference between TOP and PLC (p = .18). The PLC group gained 0.37 lb/week, the TOP group lost 0.41 lb/week, and the TOP/NIC group lost 0.07 lb/week (p = .004). Pairwise comparisons showed a difference between TOP and PLC (p < .001) and between TOP/NIC and PLC groups (p = .035). Paresthesia was more frequent in subjects on TOP than PLC (p = .011).
CONCLUSIONS TOP, alone or in combination with the NIC, resulted in a numerically higher quit rate than PLC and decreased weight. A larger, PLC-controlled trial is needed to confirm these findings.
[A]: Topiramate for smoking cessation: a randomized, placebo-controlled pilot study.
[Q]: MicroRNAs (miRNAs) play crucial roles during the occurrence and development of gastric cancer. Conventional serological tests for screening gastric cancer have limits on sensitivity and specificity. Several miRNAs in peripheral blood have been used as biomarkers of gastric cancer. However, most of these miRNAs are shared by several types of cancer. Thanks to the tissue specificity of gastric juice, here we examined the feasibility of using gastric juice miR-129-1/2, which are aberrantly expressed in gastric cancer, to screen gastric cancer. Total of 141 gastric juices samples from gastric cancer, gastric ulcer, atrophic gastritis, and minimal gastritis patients or subjects with normal mucosa were collected by gastroscopy. The gastric juice miR-129-1/2 levels were detected by quantitative reverse transcription-polymerase chain reaction. A receiver operating characteristic (ROC) curve was constructed for differentiating patients with gastric cancer from patients with benign gastric diseases. We showed that, compared with patients with benign gastric diseases, patients with gastric cancer had significantly lower levels of gastric juice miR-129-1-3p and miR-129-2-3p. The areas under ROC curve (AUC) were 0.639 and 0.651 for miR-129-1-3p and miR-129-2-3p, respectively. Using the parallel combination test, the AUC was up to 0.656. In summary, our results suggest that gastric juice miR-129-1-3p and miR-129-2-3p are potential biomarkers for the screening gastric cancer, and the detection of gastric juice miRNAs is a convenient non-invasion method for the diagnosis of gastric cancer.
[A]: | Gastric juice miR-129 as a potential biomarker for screening gastric cancer
| 5 | NIv2 | task1586_scifact_title_generation | fs_opt | [
-0.23107410967350006,
0.45473843812942505,
-0.3388037085533142,
-0.771774411201477,
0.5607044100761414,
0.21454353630542755,
1.3366450071334839,
0.8855974078178406,
0.1285555064678192,
0.4145483672618866,
-0.4568136930465698,
0.24384771287441254,
-1.0915462970733643,
0.07077568769454956,
... |
Instructions: Given a comment text in Tamil, classify the comment into one of these categories (i) Hope speech, if it contains encouraging, positive or supportive contents about equality, diversity or inclusion, (ii) Not Hope Speech or (iii) Not in Expected Language, if the text is not Tamil.
Input: @Dhivya S maybe
Output: | Not in Expected Language | 3 | NIv2 | task680_hope_edi_tamil_text_classification | zs_opt | [
-0.6756937503814697,
-0.13211756944656372,
0.7392523884773254,
0.7593621611595154,
-0.2764720618724823,
-0.7239952683448792,
-0.3813515901565552,
0.8445062041282654,
-0.4630539119243622,
0.8194822072982788,
-0.10421097278594971,
-0.02441621571779251,
0.29151293635368347,
-0.607815384864807... |
Definition: In this task you are given a list of integers and you need to find the absolute value of the difference between each two consecutive values. The output should be a list of the absolute value of the differences of each two consecutive values.
Input: [61, -97, 85, 21, 62, 75, -16, -25, -74, -38, 72]
Output: | [158, 182, 64, 41, 13, 91, 9, 49, 36, 110] | 2 | NIv2 | task125_conala_pair_differences | zs_opt | [
-0.5856696963310242,
-0.06546728312969208,
-0.4174923896789551,
-0.28415659070014954,
-0.1820375621318817,
-0.03223209083080292,
0.668199896812439,
0.1429905891418457,
0.4505312144756317,
-0.16125604510307312,
-0.39718523621559143,
-0.23541569709777832,
-0.14296388626098633,
-0.10713899880... |
TASK DEFINITION: In this task, you are given a sentence in the English and Hindi language. Your task is check if the Hindi sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
PROBLEM: English: Following which, news conferences were called, and before long Popov's case began to draw national attention.
Hindi: द टेलीग्राफ के अनुसार, पीपुल्स रिपब्लिक ऑफ चाइना ने संभवतः सबसे अधिक ग्रीनहाउस उत्सर्जन करने के कारण दुनिया का ध्यान बहुत अधिक आकर्षित किया है, जो कि उसकी अर्थव्यवस्था के आकार के अनुपात से अधिक है।
SOLUTION: No
PROBLEM: English: Friday, an undersea earthquake off the far east coast of Russia's Kamchatka Peninsula was felt in the capital city of Moscow, 10,000 kilometers away.
Hindi: रूस के कमचटका प्रायद्वीप के सुदूर पूर्वी तट पर शुक्रवार को भूकंप का केंद्र 10,000 किलोमीटर दूर मास्को शहर में महसूस किया गया।
SOLUTION: Yes
PROBLEM: English: Yushchenko was taken to the Rudolfinerhaus clinic of Vienna, where he stayed for four days under Dr. Korpan's care.
Hindi: पैरामेडिक्स ने घटनास्थल पर उसे मृत घोषित करने से पहले लगभग एक घंटे तक एक पीड़ित को पुनर्जीवित करने के लिए संघर्ष किया।
SOLUTION: | No
| 8 | NIv2 | task434_alt_en_hi_answer_generation | fs_opt | [
0.10787789523601532,
-0.16767531633377075,
0.3850938081741333,
0.1864471733570099,
0.2895697355270386,
-0.8672594428062439,
-0.051898274570703506,
0.8168802857398987,
-0.09099502861499786,
0.0783987045288086,
-0.3862125277519226,
0.7891010046005249,
-0.5464518070220947,
0.44269677996635437... |
You are given a statement written in Gujarati. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Q: Statement: બાલદા <MASK> દેશના પશ્ચિમ ભાગમાં આવેલા ગુજરાત રાજ્યના સુરત જિલ્લામાં આવેલા કુલ ૯ (નવ) તાલુકાઓ પૈકીના એક એવા બારડોલી તાલુકામાં આવેલું ગામ છે. બાલદા ગામમાં હળપતિ તેમ જ પાટીદારોની વસ્તી રહે છે. આ ગામના વ્યવસાયમાં મુખ્યત્વે ખેતી, ખેતમજૂરી અને પશુપાલન છે. આ ગામમાં ડાંગર, શેરડી, કેળાં, સૂરણ, પપૈયાં, કેરી તેમ જ શાકભાજી જેવાં ખેત-ઉત્પાદનોના પાક લેવામાં આવે છે. ગામમાં પ્રાથમિક શાળા, પંચાયતઘર, આંગણવાડી તેમ જ દુધની ડેરીની સવલતો પ્રાપ્ય છે.
Option A: ભારત
Option B: આંગણવાડી
Option C: વાડીલાલ
Option D: પંચાયતઘર
A: | ભારત | 4 | NIv2 | task946_wiki_cloze_gu_multiple_choice_question_answering | zs_opt | [
0.6192723512649536,
1.2824331521987915,
0.03212336450815201,
0.1895468682050705,
-0.08244764804840088,
0.007688410580158234,
-0.0400858148932457,
1.303917407989502,
0.19564908742904663,
-0.27695342898368835,
-0.18836748600006104,
0.3957427144050598,
-0.24975505471229553,
-0.359248936176300... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Polish.
See one example below:
Problem: It's sort of the biggest TiVo box you've ever seen.
Solution: To największa nagrywarka, jaką w życiu widzieliście.
Explanation: The English sentence is correctly translated into Polish, because the meaning is preserved.
Problem: So it's a tree, and in its trunk you have the roots of languages.
Solution: | Jest to drzewo z którego pnia wychodzą gałęzie języków. | 4 | NIv2 | task1092_ted_translation_en_pl | fs_opt | [
-0.04818161949515343,
0.5333518385887146,
0.29810595512390137,
0.14039164781570435,
0.3837907910346985,
-0.9737505912780762,
0.903404176235199,
-0.6175658702850342,
-0.5052478909492493,
0.15831226110458374,
0.5116912722587585,
0.7300060987472534,
-0.7128997445106506,
0.7389476299285889,
... |
Instructions: We would like you to classify each of the following sets of argument pairs (discussing Death Penalty) into either SIMILAR or NOT SIMILAR. A pair of arguments is considered SIMILAR if the arguments are about the same FACET (making the same argument), and is considered NOT SIMILAR if they do not have the same FACET. A FACET is a low level issue that often reoccurs in many arguments in support of the author's stance or in attacking the other author's position.
Input: Sent1: While I am not against execution, I would rather see tax dollars go to something a bit more useful than trying to execute one person.
Sent2: With all that it has been a very trying time for me and I have had to struggle with how I really felt about the death penalty.
Output: | Not similar | 3 | NIv2 | task145_afs_argument_similarity_death_penalty | zs_opt | [
-0.5359923839569092,
0.20284637808799744,
0.27233847975730896,
0.4210171699523926,
0.1463821977376938,
-0.7294217944145203,
0.640194296836853,
0.998237133026123,
0.001896364614367485,
0.6760504245758057,
0.061301473528146744,
-0.14196035265922546,
-0.5766942501068115,
0.3058837652206421,
... |
In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by two, if the element is odd you should multiply by three then add one. The output should be a list of integers that is the result of applying that logic to the input list.
[Q]: [145, 148, 29, 173, 19, 19, 138, 15]
[A]: [436, 74, 88, 520, 58, 58, 69, 46]
[Q]: [109, 63, 46, 129, 135, 70]
[A]: [328, 190, 23, 388, 406, 35]
[Q]: [50, 69, 131]
[A]: | [25, 208, 394]
| 5 | NIv2 | task206_collatz_conjecture | fs_opt | [
-0.2023649513721466,
0.5501587390899658,
0.06476538628339767,
-1.3278371095657349,
-0.6134757995605469,
0.041779063642024994,
1.3088775873184204,
-0.37296628952026367,
-0.4908101558685303,
0.3510292172431946,
-1.0522892475128174,
-0.10340943932533264,
-0.38612979650497437,
-0.3241753280162... |
Detailed Instructions: In this task, answer 'Yes' if the frequency of the given word in the two sentences is equal, else answer 'No'.
Problem:Sentence1: 'the zebra is standing behind a chain link fence', Sentence2: 'an army transport truck sitting near a forest'. Is the frequency of the word 'a' in two sentences equal?
Solution: | Yes | 8 | NIv2 | task159_check_frequency_of_words_in_sentence_pair | zs_opt | [
-0.0924457460641861,
0.23759377002716064,
-0.10488075017929077,
0.13944922387599945,
-0.5619046688079834,
-0.7193014621734619,
0.5017678737640381,
1.1655702590942383,
0.06742321699857712,
0.12018252909183502,
-0.3361751437187195,
-0.5818253755569458,
-0.04115855693817139,
-0.28292214870452... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English.
Ex Input:
זה עבד כל כך טוב, למעשה, שבחור אחד אפילו השתמש בזה כדי להוריד פרק של "" איך פגשתי את אמא "". אך בעוד עתידה של מצרים עוד לא ברור, כשאותו הדבר קרה בסוריה רק שנה לאחר מכן, "" טלקומיקס "" היו מוכנים עם קווי האינטרנט האלו, ו "" אנונימוס ""? הם היו אולי הקבוצה הבינלאומית הראשונה שגינתה באופן רשמי את הפעולות של הצבא הסורי, על ידי השחתת האתר שלהם.
Ex Output:
It worked so well, in fact, one guy even used it to download an episode of "" How I Met Your Mother. "" But while Egypt's future is still uncertain, when the same thing happened in Syria just one year later, Telecomix were prepared with those Internet lines, and Anonymous, they were perhaps the first international group to officially denounce the actions of the Syrian military by defacing their website.
Ex Input:
במקום, מדינות בהן עיור כבר הגיע לשיא נראות כמו המדינות בהן ערים הפסיקו לעשות אותנו שמחים.
Ex Output:
Instead, countries where urbanization has already peaked seem to be the very countries in which cities have stopped making us happy.
Ex Input:
מאחר ואם נמצא את זה בתוך גופינו, נהיה בצרה צרורה מכיוון שזהו צופן המקור של אבולה.
Ex Output:
| Because if you happen to find this one inside your body, you're in big trouble, because that's the source code for Ebola.
| 1 | NIv2 | task1234_ted_translation_he_en | fs_opt | [
-0.30437225103378296,
-0.02272387593984604,
-0.24516867101192474,
0.07472019642591476,
-0.34201404452323914,
-0.33203935623168945,
0.8139938116073608,
0.5191776752471924,
0.15808096528053284,
0.6384074687957764,
-0.597585916519165,
0.7654393911361694,
-1.0010604858398438,
-0.79336893558502... |
Given the task definition, example input & output, solve the new input case.
Given a prompt and four completions, select the completion that is the most plausible in continuing or answering the prompt. This task is designed to test common sense and has various categories ranging between idioms, negated statements, polysemy, subject referencing, and quantitative reasoning. Generate either Completion A, Completion B, Completion C, or Completion D.
Example: Prompt: A clown is fashioning animals from long balloons. He
Completion A: releases the animals into their natural habitat.
Completion B: makes a giraffe and hands it to a child.
Completion C: yells out for his second in command to pilot the battleship around the obstacle.
Completion D: releases the balloon and it flies high into the air.
Output: Completion B
The clown is an entertainer and is twisting balloons to resemble an animal. There are no live animals, and these types of twistable balloons are not able to fly or float up.
New input case for you: Prompt: A girl is going to a party. She doesn't want to be hungover so she decides to drink
Completion A: water.
Completion B: beer.
Completion C: vodka.
Completion D: wine.
Output: | Completion A | 1 | NIv2 | task156_codah_classification_adversarial | fs_opt | [
0.10533758997917175,
1.0660192966461182,
-0.2819623649120331,
-0.33831292390823364,
-0.21225854754447937,
-0.09496162831783295,
0.4549481272697449,
0.5911140441894531,
-0.06508352607488632,
-0.28266459703445435,
-0.04619889706373215,
-0.1178402230143547,
-0.02760395035147667,
0.05004609376... |
In this task, you are given a set of context paragraphs, some supporting facts and an answer of a question. Your task is to generate question for given answer based on set of context paragraphs, supporting facts and an answer.
--------
Question: Context_1 : Joe Dirt is a 2001 American adventure comedy film starring David Spade, Dennis Miller, Christopher Walken, Adam Beach, Brian Thompson, Brittany Daniel, Jaime Pressly, Erik Per Sullivan, and Kid Rock. The film was written by Spade and Fred Wolf, and produced by Robert Simonds. Context_2 : Adam Beach (born November 11, 1972) is a Saulteaux actor. He is best known for his roles as Victor in "Smoke Signals", Frank Fencepost in "Dance Me Outside", Tommy in "Walker, Texas Ranger", Kickin' Wing in "Joe Dirt", U.S. Marine Corporal, Ira Hayes in "Flags of Our Fathers", Private Ben Yazzie in "Windtalkers", Dr. Charles Eastman (Ohiyesa) in "Bury My Heart at Wounded Knee", in "", and Officer Jim Chee in the film adaptations of "Skinwalkers", "Coyote Waits", and "A Thief of Time". He starred in the Canadian 2012-2014 series "Arctic Air", and played Slipknot in the 2016 film "Suicide Squad". He also played Squanto in Disney's "Squanto, a Warrior's Tale." Context_3 : Bone Daddy (also known as "Palmer's Bones" and "L'affaire Palmer") is a 1998 Canadian-American crime-thriller film directed by Mario Azzopardi and starring Rutger Hauer and Barbara Williams. Context_4 : Smoke Signals is a Canadian-American independent film released in 1998, directed and co-produced by Chris Eyre and with a screenplay by Sherman Alexie, based on the short story "This is What it Means to Say Phoenix, Arizona" from his book "The Lone Ranger and Tonto Fistfight in Heaven" (1993). The film won several awards and accolades, and was well received at numerous film festivals. Context_5 : Adam and Joe Go Tokyo was a series of eight episodes created for BBC Three (also airing in full on BBC One at a later timeslot as promotion for the new channel). It starred Adam Buxton and Joe Cornish of "The Adam and Joe Show" and aired from 30 May 2003 to 25 July 2003. The aim of the show was to offer an alternative insight into the lives of Tokyo's citizens, with the obligatory look at a number of gadgets and toys along the way. The show took the format of a mature Blue Peter outlining many pastimes of the average (or less so) Japanese person, everything from competitive speed eating to manga cosplay. Each episode would end with a Japanese band joining the show to perform. Context_6 : Temptation is a 2004 movie musical written by Sydney Forest and John Taylor and directed by Mark Tarlov. The film starred Adam Pascal, Alice Ripley, and Zoe Saldana. The film has not yet had a theatrical or video release. Context_7 : Batman (often promoted as Batman: The Movie) is a 1966 American superhero film based on the "Batman" television series, and the first full-length theatrical adaptation of the DC Comics character Batman. Released by 20th Century Fox, the film starred Adam West as Batman and Burt Ward as Robin. The film hit theaters two months after the of the television series. The film includes most members of the original TV cast, with the exception of Lee Meriwether as the Catwoman, the character previously played by Julie Newmar in two episodes of the series' first season. Context_8 : High Art is a 1998 Canadian-American independent film directed by Lisa Cholodenko and starring Ally Sheedy and Radha Mitchell. Context_9 : Joe Dirt 2: Beautiful Loser is a 2015 American comedy film directed by Fred Wolf and written by David Spade and Fred Wolf. It is the sequel to the 2001 film "Joe Dirt". The film stars David Spade reprising his role as the title character, Brittany Daniel, Dennis Miller, Adam Beach, Christopher Walken, Mark McGrath and Patrick Warburton. The film premiered on Crackle on July 16, 2015. Context_10 : Windtalkers is a 2002 American war film directed and produced by John Woo, and starring Nicolas Cage and Adam Beach. The film was released in the United States on June 14, 2002. fact_1 : He is best known for his roles as Victor in "Smoke Signals", Frank Fencepost in "Dance Me Outside", Tommy in "Walker, Texas Ranger", Kickin' Wing in "Joe Dirt", U.S. Marine Corporal, Ira Hayes in "Flags of Our Fathers", Private Ben Yazzie in "Windtalkers", Dr. Charles Eastman (Ohiyesa) in "Bury My Heart at Wounded Knee", in "", and Officer Jim Chee in the film adaptations of "Skinwalkers", "Coyote Waits", and "A Thief of Time". fact_2 : Smoke Signals is a Canadian-American independent film released in 1998, directed and co-produced by Chris Eyre and with a screenplay by Sherman Alexie, based on the short story "This is What it Means to Say Phoenix, Arizona" from his book "The Lone Ranger and Tonto Fistfight in Heaven" (1993). Answer: Smoke Signals
Answer: Which 1998 CanadianAmerican indepent film starred Adam Beach as Victor?
Question: Context_1 : Stuart Thomas Elliott (born 27 August 1977) is an English semi-professional footballer who plays as a midfielder for Northern League Division One club Ashington. Context_2 : Thomas Elliott "Tommy" Wright (born 10 January 1966) is a Scottish former footballer and football coach. Context_3 : Asylum Days is a 2001 thriller film directed by Thomas Elliott. Context_4 : Thomas Elliott Byrum (born September 28, 1960) is an American professional golfer. Context_5 : Joseph Thomas Elliott Jr. (born 1 August 1959) is an English singer-songwriter and musician, best known as the lead singer of the English rock band Def Leppard. He has also been the lead singer of the David Bowie tribute band the Cybernauts and the Mott the Hoople cover band Down 'n' Outz. He is one of the two original members of Def Leppard and one of the three to perform on every Def Leppard album. Context_6 : Miraj Grbic is a Film, Television and Theatre actor born on July 17, 1976 in Sarajevo, Bosnia and Herzegovina. He currently lives in Los Angeles, California. Miraj graduated from the Academy of Performing Arts in Sarajevo at the University of Sarajevo, where he earned MA Degree in Acting. Since 1996 he has performed in more than 60 theater plays on the main stage of the Sarajevo National Theatre. He starred in almost 40 Feature films in Bosnian, Croatian, German, Austrian, Italian, Irish, Polish, Turkish, Macedonian, Australian, Canadian and US productions. He starred as Bogdan in "", where he performed opposite Tom Cruise. Grbic starred in television shows such as "Ruža vjetrova", "Lud, zbunjen, normalan", "Gang Related" and "Viza za budućnost". He lives in Los Angeles since 2013. Context_7 : Thomas Jane (born Thomas Elliott III; February 22, 1969) is an American actor. He is known for appearing in such films as "Padamati Sandhya Ragam" (1987), "Boogie Nights" (1997), "The Thin Red Line" (1998), "Deep Blue Sea" (1999), "The Punisher" (2004), "The Mist" (2007) and the upcoming "The Predator" (2018). Jane's television roles include Mickey Mantle in the television film "61*" (2001) and starring in the HBO series "Hung" (2009–2011) and the lead role of Detective Joe Miller in the science fiction series "The Expanse" (2015–2017). Context_8 : The Mist (also known as Stephen King's The Mist) is a 2007 American science-fiction horror film based on the 1980 novella "The Mist" by Stephen King. The film was written and directed by Frank Darabont. Darabont had been interested in adapting "The Mist" for the big screen since the 1980s. The film features an ensemble cast including Thomas Jane, Marcia Gay Harden, Samuel Witwer, Toby Jones, and future "The Walking Dead" actors Jeffrey DeMunn, Juan Gabriel Pareja, Laurie Holden, and Melissa McBride. Context_9 : Thomas Elliott (born 21 August 1867, date of death unknown) was a New Zealand cricketer. He played twelve first-class matches for Auckland between 1894 and 1906. Context_10 : Stephen "Steve" George Arbuckle is a Canadian born actor born in the village of Donkin (Arbuckle Lane), Cape Breton Island, Nova Scotia. He started his career as a theatre actor at Cape Breton University, then made his first move into film in 2003 with the lead role in the short film "Todd and the Book of Pure Evil", which also starred Julian Richings and John Bregar. He appeared as Oliver Peele in 2010 in the pilot episode of the CBS show "Blue Bloods". Arbuckle is now living in Toronto, Ontario. fact_1 : Thomas Jane (born Thomas Elliott III; February 22, 1969) is an American actor. fact_2 : The Mist (also known as Stephen King's The Mist) is a 2007 American science-fiction horror film based on the 1980 novella "The Mist" by Stephen King. Answer: Stephen King
Answer: Who wrote the novella that inspired the film that the actor born as Thomas Elliott III starred in during 2007?
Question: Context_1 : Merrily We Go to Hell is a 1932 pre-Code film starring Academy Award winning actor Fredric March and Sylvia Sidney. The film was directed by Dorothy Arzner. The film's title is an example of the sensationalistic titles that were common in the Pre-Code era. Many newspapers refused to publicize the film because of its racy title. The title is a line March's character says while making a toast. Context_2 : Dorothy Emma Arzner (January 3, 1897 – October 1, 1979) was an American film director whose career in feature films spanned from the silent era of the late 1920s into the early 1940s. In fact, Dorothy Arzner was the only female director working in the 1930s in the United States. She was one of the very few women who established a name for herself as a director in the American film industry during this time. Context_3 : First Comes Courage is a 1943 American war film, the final film directed by Dorothy Arzner, one of the few female directors in Hollywood at the time. The film was based on the 1943 novel "Commandos" by Elliott Arnold, adapted by George Sklar, with a screenplay by Melvin Levy and Lewis Meltzer. It stars Merle Oberon and Brian Aherne. Context_4 : Golden Gate Girls is a 2013 documentary film focusing on the life and works of Esther Eng (1914-1970), once honored as the first woman director of Southern China. She crossed boundaries of both gender and culture by making Cantonese language films for Chinese audiences during and after WWII. She was in fact the only woman directing feature-length films in America after Dorothy Arzner’s retirement in 1943 and before Ida Lupino began directing in 1949. After her film career, she pioneered in establishing fine dining Chinese Restaurants in New York City. She left her mark in both the Chinese and English press enabling director S. Louisa Wei to recover some of her lost stories. Clips from her two extant films, stills from her eight other motion pictures, photos from her six albums, newsreels of San Francisco as she saw them, as well as hundreds of archival images are collected to present her life and work in the most stunning visuals. Context_5 : Gurinder Chadha, {'1': ", '2': ", '3': ", '4': "} (born 10 January 1960) is an English film director of Kenyan Asian origin. Most of her films explore the lives of Indians living in England. This common theme among her work showcases the trials of Indian women living in England and how they must reconcile their converging traditional and modern cultures. Although many of her films seem like simple quirky comedies about Indian women, they actually address many social and emotional issues, especially ones faced by immigrants caught between two worlds. Context_6 : Pam Cook (born 6 January 1943, Farnborough, Hampshire, UK) is Professor Emerita in Film at the University of Southampton. She was educated at Sir William Perkins's School, Chertsey, Surrey and Birmingham University, where she was taught by Stuart Hall, Richard Hoggart, Malcolm Bradbury and David Lodge. Along with Laura Mulvey and Claire Johnston, she was a pioneer of 1970s Anglo-American feminist film theory. Her collaboration with Claire Johnston on the work of Hollywood film director Dorothy Arzner provoked debate among feminist film scholars over the following decades. Context_7 : Marion Morgan (January 4, 1881, New Jersey – November 10, 1971, Los Angeles, CA) was a choreographer and motion picture screenwriter and the longtime companion of motion picture director Dorothy Arzner. Arzner lived for the last 40 years of her life with Morgan. Context_8 : Dorothy Hall (December 3, 1906 – February 2, 1953) was an American film actress in the late 1920s and early 1930s. She began her career as an actress on Broadway and transitioned fully into film acting in the late 1920s. She had small roles in films such as "The Winning Oar" (1927) and "The Broadway Drifter" (1927) and was later featured in the Vitaphone short "In the Nick of Time" (1929) and "The Laughing Lady" (1929). Her final and best known film role was in Dorothy Arzner's "Working Girls" (1931) where she plays Mae Thorpe. Dorothy Hall died on February 2, 1953 in New York City. Context_9 : It's a Wonderful Afterlife is a 2010 British comedy film directed by Gurinder Chadha. The screenplay centres on an Indian mother whose obsession with marrying off her daughter leads her into the realm of serial murder. It was filmed primarily in English, with some Hindi and Punjabi dialogue. The title is a reference to Chadha's personal attachment to Frank Capra's film "It's a Wonderful Life." Chadha also co-produced the film, and co-wrote the screenplay with her husband and producing partner, Paul Mayeda Berges. The lead role is played by newcomer Goldy Notay, joining Shabana Azmi, Shaheen Khan, Sendhil Ramamurthy and Sally Hawkins in the cast. Context_10 : Arthur Roberts July 17, 1890 – February 5, 1961), also known as Arthur E. Roberts, was an American film editor who edited over 100 films during his almost 30 year career. He began ending towards the end of the silent era of the film industry, his first film being 1927's "The College Hero", directed by Walter Lang. His last film was Republic's "Lay That Rifle Down" in 1955, after which he spent a brief period as the editor for the television series, "Lassie", before retiring in 1956. During his career he would work with many famous directors, including Frank Capra (on several films, including "The Donovan Affair"), Lowell Sherman (on "The Royal Bed"), William Seiter (on several films, including "Way Back Home"), Edward Cline (on "Cracked Nuts"), George Cukor ("A Bill of Divorcement"), Dorothy Arzner (the first female member of the DGA, on "Christopher Strong"), Anthony Mann ("Strangers in the Night"), George Archainbaud ("Girls of the Big House"), Fritz Lang ("House by the River"), fact_1 : Dorothy Emma Arzner (January 3, 1897 – October 1, 1979) was an American film director whose career in feature films spanned from the silent era of the late 1920s into the early 1940s. fact_2 : Gurinder Chadha, {'1': ", '2': ", '3': ", '4': "} (born 10 January 1960) is an English film director of Kenyan Asian origin. Answer: Dorothy Emma Arzner (January 3, 1897 – October 1, 1979)
Answer: | Which female film directors career spanned more than one film era, Dorothy Arzner or Gurinder Chadha?
| 7 | NIv2 | task191_hotpotqa_question_generation | fs_opt | [
0.6170823574066162,
0.027383096516132355,
-1.1349148750305176,
-0.24148963391780853,
0.5800790786743164,
-0.0971294641494751,
0.6173841953277588,
0.9632205963134766,
-0.44590437412261963,
0.4605964422225952,
0.3036479949951172,
0.12240888178348541,
-0.6673954129219055,
0.11334237456321716,... |
Detailed Instructions: In this task, you are given a sentence in either Spanish or English. Your task is to determine the language of the input sentence. Input sentences can only be in Spanish or English, and they cannot be in two languages at the same time.
Q: Por parte de la Comisión, nos hemos mostrado favorables al análisis de una nueva travesía por ferrocarril en la parte central del Pirineo y hemos apoyado varias iniciativas en la región mediante la concesión de subvenciones a distintos estudios para analizar las posibilidades.
A: | Spanish | 9 | NIv2 | task533_europarl_es-en_language_identification | zs_opt | [
-0.13884511590003967,
0.3897920250892639,
0.5759609937667847,
-0.3755846619606018,
0.32174152135849,
-0.6688554883003235,
0.527153491973877,
0.8496553897857666,
0.29407405853271484,
-0.1443561315536499,
-0.22628921270370483,
-0.018186228349804878,
0.26836809515953064,
-0.32108741998672485,... |
Instructions: In this task, you are given a sentence or phrase in English. You must translate it to Xhosa in a way that is equivalent in terms of meaning and grammatically correct.
Input: A term applied to foundations, particularly those having vertical web plates as principal members. The vertical web plates of foundations are also called bearers.
Output: | Igama elisetyenziswa kwiziseko, ingakumbi ezo zineepleyiti zewebhu ezithe nkqo njengamalungu amakhulu. Iipleyiti zewebhu ezithe nkqo zeziseko kuthiwa zii"bearers". | 3 | NIv2 | task872_opus_xhosanavy_translation_eng_xhosa | zs_opt | [
0.07726627588272095,
0.764762818813324,
-0.3473445177078247,
0.5616801381111145,
-0.2681525647640228,
-0.6983811259269714,
0.5327215194702148,
0.5641589760780334,
-0.14967694878578186,
0.02761964127421379,
-0.24451135098934174,
0.4999206066131592,
-0.22731660306453705,
-0.24561285972595215... |
A text is given in Malayalam. Translate it from the Malayalam language to the Panjabi language. The translation must not omit or add information to the original sentence.
Example: വനിതകളുടെ 53 കിലോഗ്രാം ഭാരോദ്വഹനത്തില് സ്വര്ണ്ണ മെഡല് നേടിയ കെ
Example solution: 53 ਕਿਲੋਗ੍ਰਾਮ Women ਰਤਾਂ ਦੇ ਭਾਰ ਘਟਾਉਣ ਵਿੱਚ ਸੋਨੇ ਦੇ ਤਗਮੇ ਦੁਆਰਾ ਜਾਣਿਆ ਜਾਂਦਾ ਹੈ
Example explanation: Correct translation for given sentence. Input sentence means 'Known by gold medal in weight loss of 53kg of women' which is the same as the output sentence.
Problem: അതാണ് യോഗയെ സുന്ദരമാക്കുന്നത്.
| Solution: ਇਹ ਅੱਜ ਤੱਕ ਲਗਾਤਾਰ ਵਿਕਸਿਤ ਹੋ ਰਿਹਾ ਹੈ। | 5 | NIv2 | task1005_pib_translation_malayalam_punjabi | fs_opt | [
0.0803130492568016,
0.8711242079734802,
-1.005692720413208,
-0.7842430472373962,
-0.21525731682777405,
-1.0796010494232178,
0.38068535923957825,
0.6221801042556763,
-0.41950759291648865,
-0.3580598533153534,
-1.0814311504364014,
-0.30372658371925354,
-0.8364963531494141,
0.4453496932983398... |
In this task, you're given the middle and ending of a three-part story. Your job is to complete the short story by writing a probable beginning of the story. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating the beginning, and use names (e.g. Jack, Barbara,...) instead of pronouns (e.g. he / she) wherever possible.
Q: Middle: Will found a guitar at a sale, but could not afford it. Ending: Will's mom loaned him the extra money and Will got the guitar.
A: | Will and his parents went to garage sales every Saturday. | 4 | NIv2 | task072_abductivenli_answer_generation | zs_opt | [
-0.36723655462265015,
0.7466378211975098,
-0.3513370156288147,
-0.2171306312084198,
-0.46470215916633606,
-0.14650903642177582,
0.8586150407791138,
0.5931491851806641,
0.05920296907424927,
0.14098212122917175,
-0.4245220422744751,
0.3616573214530945,
-0.3917323350906372,
-0.255563735961914... |
Detailed Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
Q: أنا حقاً أؤمن بأن هناك مساحات ، هذه المجتمعات أصبحت للجيل الجديد من المتعلمين ، نفس نوع المجتمعات -مجتمعات رسم الخرائط- الذي كان لدي عندما كنت في الثانوية ، وبعدها عندما ذهبت للكلية.
A: | Credo davvero che questi spazi, queste comunità, sono per una nuova generazione di apprendisti, il genere di comunità, il genere di comunità cartografica che ho trovato quando ero al liceo, e ancora al college. | 9 | NIv2 | task1106_ted_translation_ar_it | zs_opt | [
-0.1628447026014328,
0.3803955912590027,
0.05843433365225792,
-0.5606836080551147,
-0.42753902077674866,
-0.8340193033218384,
0.4981553256511688,
0.5686677694320679,
0.0841376781463623,
-0.8834788799285889,
-0.06791666150093079,
0.6220800876617432,
-0.08432313054800034,
0.33894452452659607... |
Detailed Instructions: 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.
Problem:Lucas entered the bathroom. Phone rang. Jacob entered the bathroom. The watermelon is in the red_envelope. Lucas moved the watermelon to the red_cupboard. Lucas entered the dining_room. Phone rang. Oliver entered the dining_room. The pineapple is in the green_treasure_chest. Lucas moved the pineapple to the green_bottle. Abigail entered the pantry. Oliver entered the pantry. The peach is in the blue_treasure_chest. Abigail moved the peach to the red_crate. Jacob entered the laundry. Oliver entered the laundry. The carrot is in the blue_cupboard. Jacob moved the carrot to the green_pantry. Where will Oliver look for the carrot?
Solution: | green_pantry | 8 | NIv2 | task154_tomqa_find_location_hard_noise | zs_opt | [
-0.20837843418121338,
0.05356735736131668,
-0.6629197001457214,
-0.20884956419467926,
-0.5072824954986572,
-0.4840119481086731,
0.45212215185165405,
0.3861035108566284,
-0.3177645206451416,
0.06639273464679718,
0.19803206622600555,
0.618828535079956,
-0.3035215437412262,
0.2091630101203918... |
You need to create a question containing a blank (_), based on the given context word. Your question must contain two persons --PersonX and PersonY. The expected answer to your question must be PersonX. PersonX and PersonY should not be equally likely to fill the blank. There should be an agreed upon answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. Do not use the names of real people (e.g., Donald Trump, Putin, etc.) in your question. Avoid repeating the same style, pattern, or phrases in each question, try to increase diversity by varying sentence structure, blank placement, etc. Your question must contain at least 15 and at most 30 words. You must utilize the given context word while writing the question. Your question must contain only one blank. Make sure that Person X and Person Y have the same gender. In your question, PersonX and PersonY should be used only ONCE and PersonX should appear earlier than PersonY.
Q: Context Word: Electroplate.
A: | personx learnt how to electroplate from persony and _ was a very good student during the process. | 4 | NIv2 | task032_winogrande_question_generation_person | zs_opt | [
0.1832003891468048,
0.9108612537384033,
-0.03857606276869774,
-0.026980426162481308,
-0.00555498618632555,
-0.7878768444061279,
0.5986768007278442,
0.8348045349121094,
0.2513667643070221,
-0.44209057092666626,
0.4912358522415161,
0.17398962378501892,
-0.08658117055892944,
0.424390137195587... |
A text is given in Bengali. Translate it from the Bengali language to the Gujarati language. The translation must not omit or add information to the original sentence.
Example: આપણને જે બહુમૂલ્ય લોકતંત્ર મળ્યું છે તેને આપણે બહુ જ સરળતાથી granted માની લઈએ છીએ પરંતુ, આપણે સ્વયં એ યાદ અપાવતા રહેવું જોઈએ કે આપણું લોકતંત્ર બહુ જ મહાન છે અને આ લોકતંત્રને આપણી નસેનસમાં જગ્યા મળી છે – સદીઓની સાધનાથી, પેઢી દર પેઢીના સંસ્કારોથી, એક વિશાળ વ્યાપક મનની અવસ્થાથી
Example solution: আমরা বিশ্বাস করি যে আমরা একটি খুব সহজে মঞ্জুর পেয়েছি, কিন্তু আমাদের নিজেকে স্মরণ করিয়ে দিতে হবে যে, আমাদের গণতন্ত্র খুব বড় এবং এই গণতন্ত্র আমাদের নাসেনের মধ্যে একটি স্থান পেয়েছে - প্রজন্মের প্রজন্মের প্রজন্ম থেকে, একটি বিশাল ব্যাপক মন থেকে
Example explanation: Correct translation for given sentence. Input sentence means 'We believe that we have received a very easily granted, but we should remind yourself that our democracy is very great and this democracy has got a place in our nassen - from the centuries, from the generation of generation, a hugeComprehensive mind' which is the same as the output sentence.
Problem: વાસ્કો દી ગામા માલિન્દીથી ગુજરાતી ખલાસીની મદદથી કાલિકટ સુધી પહોંચ્યા હોવાનું માનવામાં આવે છે.
| Solution: আফ্রিকা প্রীতির জন্যও গুজরাটিরা বিশেষ খ্যাতিলাভ করেছেন। | 5 | NIv2 | task1068_pib_translation_gujarati_bengali | fs_opt | [
-0.24435514211654663,
0.0695636123418808,
0.5709133744239807,
-0.34352123737335205,
-0.3068782091140747,
-1.596792459487915,
0.4291591942310333,
-0.21602913737297058,
-0.1339462399482727,
-0.2956250011920929,
-0.570555567741394,
0.22478652000427246,
-0.8668397665023804,
0.22518661618232727... |
Detailed Instructions: 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.
Problem:Title: The fireworks. Sentence 1: The friends drove across the border to buy a bunch of fireworks. Sentence 2: They drove home and set them all up. Sentence 3: It was a beautiful sight and a fun time! Sentence 4: They lit the sky up with all their fireworks. Sentence 5: That night, they had a huge party.
Solution: | 53 | 8 | NIv2 | task218_rocstories_swap_order_answer_generation | zs_opt | [
-0.14622259140014648,
0.5336639285087585,
-0.15121127665042877,
-0.4945991039276123,
-0.20822636783123016,
-0.027324430644512177,
0.5346230268478394,
0.6120238900184631,
-0.02714109979569912,
-0.07511202245950699,
-1.0341377258300781,
-0.4496733546257019,
-0.7434659004211426,
-0.0511804744... |
Two analogies that relate places/locations to the associated travel mode is given in the form "A : B. C : ?". "A : B" relates place A to travel mode B. Your task is to replace the question mark (?) with the appropriate travel mode for the given place C, following the "A : B" relation.
Example input: moon : rocket. france : ?
Example output: airplane
Example explanation: Rockets are used to travel to the moon - hence the given analogy relates places/locations to the associated travel mode , and the answer also does the same
Q: moon : rocket. hawaii : ?
A: | airplane | 3 | NIv2 | task1154_bard_analogical_reasoning_travel | fs_opt | [
0.4933132231235504,
0.7256444692611694,
-1.032196044921875,
0.10954278707504272,
-0.7212976217269897,
0.003990751691162586,
1.154029130935669,
0.5184717774391174,
0.2782529890537262,
-0.43793344497680664,
-0.6070239543914795,
0.20838233828544617,
0.5360764861106873,
0.13291124999523163,
... |
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonY, or others, feel what is mentioned in the Tail or not. Feelings in this task are the emotional reactions on the part of PersonY or other participants in an event. For example, as a result of gift-giving, others (in this case, PersonY) might feel appreciated. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Q: Head: PersonX keeps track of PersonY<sep>Tail: sad
A: | Yes | 4 | NIv2 | task1197_atomic_classification_oreact | zs_opt | [
-0.03445984423160553,
0.019240500405430794,
0.5069397687911987,
-0.3297072649002075,
-0.38116487860679626,
-1.1569916009902954,
1.2005975246429443,
0.29013925790786743,
-0.39612001180648804,
-0.43769562244415283,
-0.2200492024421692,
-0.14255619049072266,
-0.7494992613792419,
0.60606646537... |
In this task you are given a list of integers and you need to find the absolute value of the difference between each two consecutive values. The output should be a list of the absolute value of the differences of each two consecutive values.
Let me give you an example: [7, 1, 5, 8, -4]
The answer to this example can be: [6, 4, 3, 12]
Here is why: The output is a list of the absolute value of the differences of every two consecutive values. So this is a good example.
OK. solve this:
[-90, -57, 68, -3, 24, -96, 71, -21, 6, -16, 100, -43, -47]
Answer: | [33, 125, 71, 27, 120, 167, 92, 27, 22, 116, 143, 4] | 8 | NIv2 | task125_conala_pair_differences | fs_opt | [
-0.4689640402793884,
0.39904502034187317,
-0.5817490816116333,
-0.01765459217131138,
-0.24165695905685425,
0.08256672322750092,
1.1039996147155762,
0.8292642831802368,
0.5348270535469055,
-0.3651878833770752,
-0.11651632934808731,
-0.1654329001903534,
-0.15832534432411194,
0.08162970840930... |
Q: Given a sentence in Igbo language, translate the sentence to English language keeping the meaning of the original sentence intact
Igbo sentence: ISIOKWU ỤLỌ NCHE A _ CHINEKE Ọ̀ BAARA ANYỊ URU?
A: | Â COVER SUBJECT _ DO WE NEED GOD? | 7 | NIv2 | task449_opus_paracrawl_ig_en_translation | zs_opt | [
0.1655067801475525,
0.9854803085327148,
-0.041966985911130905,
-0.22068600356578827,
-0.026688547804951668,
-0.8107567429542542,
-0.5376270413398743,
0.6681743860244751,
0.5056687593460083,
-0.04683176428079605,
-0.016681808978319168,
0.08449046313762665,
-1.0258374214172363,
0.47509700059... |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Nice critic about inquisition times combined with a great introduction to small gods concept for those not familiar with it. Makes you think about faith while it makes you laugh about everything. If I had not read better Pratchett's books, I would have rated this with a five
Positive
The Sansa View 8GB I received was faulty. The battery would not hold a charge and/or the player would not turn on. This happened within hours of opening the player packaging and attempting an initial full-charge of the player's battery. The battery is only chargeable via USB and I tried using a PC and an AC to USB adapter to charge it. There is no hard reset button like I have seen on other players (namely Cowon brand players) so it could not simply be reset.I decided to return the product for a refund because it did not seem worth the trouble of waiting for a new (or repaired) player. I was not very impressed with the build quality of the player. It felt and looked very prone to scratching or other damage if not treated with extreme care. Furthermore, I found another player that suited my personal needs and desires better than the Sansa View.
Negative
I'm not sold on social psychology. Part of my issue with this discipline is my personal fight to never let people pigeon-hole me and this seems to want to it on a grand scale. Some of the text does not help one see how issues of individual psychological development tie in to the study of social psychology. This is a great failing because many people no very little about this topic.
| Negative
| 0 | NIv2 | task493_review_polarity_classification | fs_opt | [
0.6555101871490479,
-0.3774898648262024,
-0.6744028329849243,
-0.7421981692314148,
-0.04092778265476227,
-0.6626101732254028,
1.2001253366470337,
0.7669588923454285,
0.4983876943588257,
0.27032339572906494,
0.5892313718795776,
0.24845203757286072,
-0.7124775052070618,
-0.20869484543800354,... |
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.
Q: [72, 74, 80, 111, 182, 42, 161, 51, 89, 40]
A: | [111, 161, 51, 89] | 4 | NIv2 | task205_remove_even_elements | zs_opt | [
-1.217907190322876,
0.38926538825035095,
-0.10667863488197327,
-0.8017737865447998,
0.17852157354354858,
0.06937126815319061,
0.9447603225708008,
0.04876527190208435,
-0.3061985969543457,
0.35368460416793823,
-0.4913024306297302,
0.4186059236526489,
-0.04887827858328819,
-0.050311282277107... |
Teacher:In this task, you will be shown an English sentence. You need to classify the sentence as either a representation of an anaphor number agreement or as an incorrect representation. An anaphor is an expression whose interpretation depends upon another expression. Anaphor number agreement is a restriction where a phrase agrees with the preceeding expression: plurals match plurals or singular expressions match singular expressions. In this task a valid representation of anaphor number agreement should be denoted as 'good' while everything else should be denoted as 'bad'. A correct representation of an anaphor number agreement will be a grammatically correct instance of a sentence where the subject and self-referencing nouns match plurality. An incorrect representation is a sentence in which the subject and self-referencing noun's plurality do not match.
Teacher: Now, understand the problem? Solve this instance: Most ladies weren't arguing about herself.
Student: | bad | 6 | NIv2 | task1560_blimp_binary_classification | zs_opt | [
0.23550117015838623,
0.30677884817123413,
0.09510444104671478,
-0.42404353618621826,
-0.38645926117897034,
-0.7747949957847595,
0.8250257968902588,
0.3568330407142639,
0.3481796979904175,
-0.5317177176475525,
-0.818747341632843,
-0.12060493230819702,
-0.8456146717071533,
0.3786632120609283... |
instruction:
In this task, you will be shown an English sentence. You need to classify the sentence as either a representation of an anaphor number agreement or as an incorrect representation. An anaphor is an expression whose interpretation depends upon another expression. Anaphor number agreement is a restriction where a phrase agrees with the preceeding expression: plurals match plurals or singular expressions match singular expressions. In this task a valid representation of anaphor number agreement should be denoted as 'good' while everything else should be denoted as 'bad'. A correct representation of an anaphor number agreement will be a grammatically correct instance of a sentence where the subject and self-referencing nouns match plurality. An incorrect representation is a sentence in which the subject and self-referencing noun's plurality do not match.
question:
Children did conceal itself.
answer:
bad
question:
All waiters couldn't criticize themselves.
answer:
good
question:
The Lutherans can help herself.
answer:
| bad
| 9 | NIv2 | task1560_blimp_binary_classification | fs_opt | [
0.1564633697271347,
0.4088774025440216,
-0.0673181563615799,
-0.32662010192871094,
-0.8964189291000366,
-0.5215262770652771,
0.9454843997955322,
0.2735674977302551,
0.5468170046806335,
-0.3976901173591614,
-0.5256099700927734,
0.035378966480493546,
-0.8085620403289795,
0.32006293535232544,... |
The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent dialogue context containing past 3 utterances (wherever available), output Yes if the utterance contains the other-need strategy, otherwise output No. other-need is a selfish negotiation strategy. It is used when the participants discuss a need for someone else rather than themselves. For instance, describing the need for firewood to keep the kids warm.
Ex Input:
Context: 'Me too! It will be great to finally get out of town for a few days. I mostly need more firewood to keep the wife nice and toasty. How about you?' 'oh it turns out I need firewood too!🙂' 'Ha what a surprise! ;-) What do you need second most?'
Utterance: 'I need food to feed all my friends that are coming up. how about you?'
Ex Output:
Yes
Ex Input:
Context: 'I need a minimum of 2 firewood. You can have 2 water. I would now like 2 food.' 'It seems we both have a big need for firewood. 😮 If you insist on 2 firewood, then I insist on getting 2 water AND 2 food along with 1 firewood.' 'I insist on 2 firewood 🙂. I would be happy to let you have 2 water. Are you sure you need 2 food?'
Utterance: 'Yes. If I'm letting you have more firewood (of which I would like to have more) then I'm going to need more of the other supplies. 🙂'
Ex Output:
No
Ex Input:
Context: 'I don't think that's going to work for me, but I'm sure we can come up with an agreement.' 'okay friend you can have 3 firewood and 3 water is that good enough?' 'I am going to need some food of course. '
Utterance: 'yes ofcourse i agree with you.my dear friend will you have 1 food 3 firewood and 3 water'
Ex Output:
| No
| 1 | NIv2 | task355_casino_classification_negotiation_other_need | fs_opt | [
0.7404618263244629,
0.2703222632408142,
-0.5750972032546997,
0.015783235430717468,
0.17289122939109802,
-1.128636121749878,
0.5339205265045166,
0.6651492714881897,
-0.5882881283760071,
0.19706234335899353,
0.03376331180334091,
0.014751575887203217,
-0.906521201133728,
0.17047399282455444,
... |
Detailed Instructions: In this task, you are given a sentence in English, and your task is to translate it into Persian.
Q: and asked Mr. Cutter if he would let her do some scrubbing for a bit of fish,
A: | و از آقای گوتر خواهش کرد که اجازه بدهد در ازای یک تکهی کوچک ماهی مغازهاش را تمیز کند. | 9 | NIv2 | task661_mizan_en_fa_translation | zs_opt | [
-1.2710471153259277,
0.5572941899299622,
-0.8142715692520142,
-0.4758438766002655,
0.07986443489789963,
-0.6580489873886108,
0.13518640398979187,
0.1851395070552826,
0.30065232515335083,
0.6826784014701843,
0.31136322021484375,
0.1100202351808548,
-0.2059761881828308,
0.14472393691539764,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given two sentences in Persian separated with <sep>, and you have to determine whether the sentences are paraphrases or not. Classify your answers into "paraphrase" and "not-paraphrase".
اگر Apple ID و ایمیل خود را فراموش کرده ام چه کاری می توانم انجام دهم؟ <sep> Apple ID و رمز عبور خود را فراموش کردم ، چه کاری باید انجام دهم؟
Solution: not-paraphrase
Why? This is a good example. The first sentence is about forgetting email, and the second one is about forgetting the password, so they are not paraphrases.
New input: چه زمانی باید گوشی را شارژ کنیم؟ <sep> چه زمانی باید گوشی را به شارژ زد؟
Solution: | paraphrase | 0 | NIv2 | task465_parsinlu_qqp_classification | fs_opt | [
-0.5760104060173035,
0.8008770942687988,
0.056025922298431396,
-0.8833661079406738,
-0.9545243978500366,
0.0695568099617958,
2.0690524578094482,
0.4092564582824707,
0.21580368280410767,
-0.2480240762233734,
-0.2990320324897766,
-0.6733086109161377,
-0.5240275859832764,
0.3899729251861572,
... |
Definition: This task is about classifying the similarity of two sentences. The sentences can be classified as (a) SIMILAR - similar to each other, and (b) DISSIMILAR - not similar to each other. Sentences that have the same RDF relationship in terms of [subject, predicate, object] are similar to each other. The input is a list of two sentences and the output is either SIMILAR or DISSIMILAR.
Input: ['Tom Tait is a leader in Anaheim, California.', 'The leader of Anaheim, California, is Tom Tait.']
Output: | SIMILAR | 2 | NIv2 | task1408_dart_similarity_classification | zs_opt | [
-0.2771907448768616,
0.13810983300209045,
0.6388537287712097,
-0.6988728046417236,
-0.1397872418165207,
0.004195226356387138,
1.073864221572876,
0.37464573979377747,
0.13495855033397675,
-0.08888375014066696,
-0.970258355140686,
-0.3491176962852478,
-1.0104868412017822,
-0.1617121994495391... |
Given the task definition and input, reply with output. In this task you are given a list of triplets of the form [subject, predicate, object] and the output should be a question based on the triplets but with the subject and/or object replaced with blanks (represented using two or more consecutive underscores). Triplet values encompassed in [*] are special tokens that can be replaced with synonyms. The objective is to construct a question in a manner that (a) captures the facts specified in at least one of the triplets, and (b) ideally contains a limited number of blanks such that it is a well-formed question that is easy to answer. A blank can represent a single word or a phrase.
[['Afonso Pena International Airport', 'ELEVATION', '2988']]
| _____ is elevated 2988 feet above sea level. | 5 | NIv2 | task1407_dart_question_generation | zs_opt | [
-0.8729134202003479,
0.5340126156806946,
-0.24169257283210754,
0.006662337575107813,
-0.2259415090084076,
0.2857334613800049,
0.6157530546188354,
0.01218583807349205,
0.15689970552921295,
-0.28826040029525757,
-1.1506420373916626,
0.4903419017791748,
-0.11818937957286835,
-0.06130596995353... |
Teacher:Generate a question which can yield the answer mentioned in the input. Generated question must be answered by the answer provided in input, without using any extra knowledge.
Teacher: Now, understand the problem? Solve this instance: Context : Gottlob Müller (17 March 1895 -- 28 April 1945) was a highly decorated Generalleutnant in the Luftwaffe during World War II. He was also a recipient of the Knight's Cross of the Iron Cross.
Answer : Knight's Cross of the Iron Cross
Student: | Which award did Gottlob Müller get? | 6 | NIv2 | task1326_qa_zre_question_generation_from_answer | zs_opt | [
-0.4643333852291107,
0.6438714265823364,
-0.24072064459323883,
-0.5013021230697632,
0.20918969810009003,
-0.8803246021270752,
0.090574249625206,
0.6669660210609436,
0.5254933834075928,
-0.30488190054893494,
0.11826607584953308,
0.10284186154603958,
-1.8044557571411133,
0.5562888383865356,
... |
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.
[Q]: Charlotte entered the office. Evelyn entered the office. The grapes is in the green_treasure_chest. Evelyn exited the office. Charlotte moved the grapes to the green_crate. Charlotte exited the office. Evelyn entered the office. Evelyn entered the lounge. Mia entered the lounge. The corn is in the green_bucket. Mia exited the lounge. Evelyn moved the corn to the blue_treasure_chest. Evelyn exited the lounge. Mia entered the lounge. Mia entered the office. Emily entered the office. The grapes is in the green_crate. Emily exited the office. Mia moved the grapes to the green_treasure_chest. Mia exited the office. Emily entered the office. Emily entered the lounge. Mia entered the lounge. The carrot is in the blue_treasure_chest. Mia exited the lounge. Emily moved the carrot to the green_bucket. Emily exited the lounge. Mia entered the lounge. Where will Mia look for the carrot?
[A]: green_bucket
[Q]: Emily entered the TV_room. Mason entered the TV_room. The strawberry is in the green_treasure_chest. Emily moved the strawberry to the green_bottle. Isabella entered the cellar. Mason entered the cellar. The eggplant is in the red_pantry. Isabella moved the eggplant to the blue_suitcase. Mason entered the porch. Jayden entered the porch. The carrot is in the red_cupboard. Mason moved the carrot to the red_box. Isabella entered the TV_room. Mason entered the TV_room. The onion is in the green_bottle. Isabella moved the onion to the green_treasure_chest. Where will Mason look for the onion?
[A]: green_treasure_chest
[Q]: Abigail entered the hallway. Emily entered the hallway. The eggplant is in the green_bucket. Abigail moved the eggplant to the red_box. Where was the eggplant at the beginning? Jack entered the living_room. Abigail entered the living_room. The cabbage is in the blue_box. Jack moved the cabbage to the green_suitcase. Where was the cabbage at the beginning? Emily entered the front_yard. Jack entered the front_yard. The green_pepper is in the blue_cupboard. Jack exited the front_yard. Emily moved the green_pepper to the blue_crate. Where was the green_pepper at the beginning? Owen entered the basement. Emily entered the basement. The apple is in the green_cupboard. Emily exited the basement. Owen moved the apple to the green_basket. Where will Emily look for the apple?
[A]: | green_cupboard
| 5 | NIv2 | task153_tomqa_find_location_hard_clean | fs_opt | [
0.1898355484008789,
-0.7318209409713745,
-0.4509318172931671,
0.05394105240702629,
-0.09664104133844376,
-0.7687715291976929,
-0.22877490520477295,
0.7431519031524658,
0.08655022829771042,
-0.16487593948841095,
-0.04614236205816269,
0.40752190351486206,
0.02667650580406189,
0.1650344431400... |
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.
Example input: Onomatopeia sounds
Example output: my friend call this morning to hear the different sound she collect them in a bag and call me to her town the singing of the kettle the clanging of the anvil the ringing of the phone the wailing of the siren
Example explanation: the poem is related to sounds, and is in a style that resembles a poem instead of other kind of texts.
Q: Miss. Lagerhausen
A: | miss lagerhausen be the best she make school fun she help you with your problem miss l. be the best | 3 | NIv2 | task1711_poki_text_generation | fs_opt | [
-0.43173444271087646,
1.874214768409729,
-0.022828763350844383,
-0.5557601451873779,
-0.2527313828468323,
-0.5611032843589783,
0.7271965742111206,
0.654712975025177,
0.06452911347150803,
-0.362000972032547,
-0.3945949673652649,
0.6019396185874939,
-0.6407457590103149,
-0.0632544457912445,
... |
In this task, you are given dialogue, and you have to find the most critical location in the given conversation.
Let me give you an example: Hello! I would love to learn about Antigua and Barbuda today.
Antigua and Barbuda is an island nation in the Caribbean Sea. The country is part of the British Commonwealth.
That is very interesting! What can you tell me about "symbols" in Antigua and Barbuda?
Agave Karatto is a symbol of the country and was included in Meghan Markle's wedding veil which included distinct flora from all of the commonwealth's countries.
oh Wow! That is really cool! i never knew, Can you give me any other info about "symbols" in Antigua and Barbuda?
I do not have any further information about symbols but Calypso and soca music are both important to the culture.
Okay, I'd love to learn about Notables in Antigua and Barbuda.
I do not have any information about that but I can tell you that the islands became independent in 1981.
Can you tell me more about the Culture in Antigua and Barbuda?
They have the most technologically advanced hospital in the Caribbean.
I didn't know that! Can you tell me more about the Hospital there?
It was opened as part of an education mission and is called the Mt St John Medical Center in the nations capital, Saint John.
That is Interesting! I would like to hear more about the education mission if you have any information on that.
Unfortunately I have no further information regarding that but I can tell you that there are two foreign owned for profit off shore medical schools, the American Unversity of Antigua and The University of Health Sciences Antigua.
Thank you so much for all your information!
You are welcome!
The answer to this example can be: Antigua and Barbuda
Here is why: Here the topic discussed is mostly about Antigua and Barbuda. Thus the output is correct.
OK. solve this:
Hi. I would like to learn about Cuba's culture.
Hi, I don't have details on Cuba's culture as of yet. Would you like to hear about demographics there?
That's ok. Do you have information on its geography?
I do. The climate of Cuba is warmer than Hong Kong which is around the same latitude as Cuba but has a subtropical climate rather than tropical.
Can you tell me about the economy?
I don't have details on the economy but for more geography, the entire island south of the Tropic of Cancer is moderated by northeasterly trade winds that blow year-round.
I really want to know more about the geography. Can you tell me any more facts about it?
Yes. Hurricane Irma hit the island on September 8, 2017 with winds of 260 kilometres per hour, at the Camaguey Archipelago, the storm reached Ciego de Avila province around midnight and continued to pound Cuba the next day.
Interesting. Do you have demographics information for Cuba?
On September 9, 1994, the US and Cuban governments agreed that the US would grant at least 20,000 visas annually in exchange for Cuba's pledge to prevent further unlawful departures on boats.
Can you tell me about Cuba's education?
I'm sorry, I don't have information on Cuba's education but for more demographics, a large wave of Canarian, Catalan, Andulusian, and Galician people immigrated to Cuba.
Thanks! Appreciate the help!
My pleasure!
Answer: | Cuba | 8 | NIv2 | task578_curiosity_dialogs_answer_generation | fs_opt | [
1.043943166732788,
0.3245279788970947,
-0.5152158737182617,
-0.7883924245834351,
0.3819495439529419,
-0.8336100578308105,
0.2592569589614868,
0.8574655055999756,
-1.2346017360687256,
0.18281428515911102,
0.4902034401893616,
0.03019602596759796,
-0.3191360831260681,
0.3817330598831177,
0.... |
Given the task definition and input, reply with output. In this task, you will be presented with a question, and you have to write the part-of-speech tag for each word in the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposition or subordinating conjunction, JJ: Adjective, JJR: Adjective, comparative, JJS: Adjective, superlative, LS: List item marker, MD: Modal, NN: Noun, singular or mass, NNS: Noun, plural, NNP: Proper noun, singular, NNPS: Proper noun, plural, PDT: Predeterminer, POS: Possessive ending, PRP: Personal pronoun, PRP$: Possessive pronoun, RB: Adverb, RBR: Adverb, comparative, RBS: Adverb, superlative, RP: Particle, SYM: Symbol, TO: to, UH: Interjection, VB: Verb, base form, VBD: Verb, past tense, VBG: Verb, gerund or present participle, VBN: Verb, past participle, VBP: Verb, non-3rd person singular present, VBZ: Verb, 3rd person singular present, WDT: Wh-determiner, WP: Wh-pronoun, WP$: Possessive wh-pronoun, WRB: Wh-adverb
What is the name of the burger that is made from a sweet snack that can be homemade or purchased in bakeries ?
| WP VBZ DT NN IN DT NN WDT VBZ VBN IN DT JJ NN WDT MD VB VBN CC VBN IN NNS . | 5 | NIv2 | task345_hybridqa_answer_generation | zs_opt | [
0.4932737946510315,
0.43952828645706177,
0.08457911014556885,
0.40922415256500244,
-0.2150704562664032,
-0.4136505126953125,
0.8032311797142029,
0.5244515538215637,
-0.4852756857872009,
-0.25875234603881836,
-0.42667537927627563,
0.32775720953941345,
-0.17506305873394012,
0.130220100283622... |
Detailed Instructions: In this task, you are given a sentence in the Japanese 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).
See one example below:
Problem: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガルを下した。
Solution: Italy have defeated Portugal 31-5 in Pool C of the 2007 Rugby World Cup at Parc des Princes, Paris, France.
Explanation: The Japanese sentence is correctly converted into English because the converted sentence holds the message that Italy defeated Portugal 31–5 in Pool C of the 2007 Rugby World Cup at the Parc des Princes in Paris, France. Also, translated sentence preserves the numbers as it is and converted sentence is sentence case.
Problem: 米ドルの価格は、世界の他の通貨に対して下落したが、金の価格は上昇した。
Solution: | The value of the US dollar fell against other world currencies, but gold prices increased. | 4 | NIv2 | task436_alt_ja_en_translation | fs_opt | [
-0.2447633296251297,
0.6882107257843018,
-0.2822088599205017,
0.33802127838134766,
-0.1546178013086319,
-0.24708540737628937,
0.035674549639225006,
0.801658570766449,
0.1282270848751068,
-0.5278548002243042,
-0.5593995451927185,
0.3774143159389496,
-0.3407191038131714,
0.3270261287689209,
... |
In this task, you need to remove all words of a given length in the sentence. The number of letters in a word determine its length, for example, the length of the word "apple" is 5.
[Q]: Sentence: 'a vase is sitting on a pedestal in a room'. Remove all words of length '2' in the given sentence.
[A]: a vase sitting a pedestal a room
[Q]: Sentence: 'a street light with several street signs on it'. Remove all words of length '1' in the given sentence.
[A]: street light with several street signs on it
[Q]: Sentence: 'a man at bat hitting the ball while the umpire and catcher watch'. Remove all words of length '7' in the given sentence.
[A]: | a man at bat the ball while the umpire and watch
| 5 | NIv2 | task377_remove_words_of_given_length | fs_opt | [
0.33173590898513794,
0.7884388566017151,
-0.7974157333374023,
-0.46782052516937256,
0.21450482308864594,
-0.8279225826263428,
0.03655814006924629,
0.48113560676574707,
0.23251628875732422,
-0.31262511014938354,
-0.6443477272987366,
-0.1772719770669937,
-0.3793826103210449,
0.08579836785793... |
Detailed Instructions: In this task, you are given a sentence from the research paper and your task is to classify the given sentence into the following categories: Background (Why is this problem important? What relevant works have been created before? What is still missing in the previous works? What are the high-level research questions? How might this help other research or researchers?), Purpose (What specific things do the researchers want to do? What specific knowledge do the researchers want to gain? What specific hypothesis do the researchers want to test?), Method (How did the researchers do the work or find what they sought? What are the procedures and steps of the research?), or Finding (What did the researchers find out? Did the proposed methods work? Did the thing behave as the researchers expected?).
Problem:as was seen in the 2009 H1N1 influenza pandemic.
Solution: | background | 8 | NIv2 | task1163_coda19_section_classification | zs_opt | [
-0.577181339263916,
1.07029390335083,
0.007702633738517761,
-0.4265083372592926,
-0.06057429313659668,
-0.20662865042686462,
0.15650931000709534,
0.5271028876304626,
0.3042893409729004,
-0.34344035387039185,
-1.0424504280090332,
0.103213831782341,
-0.40727341175079346,
0.296092689037323,
... |
In this task, you are given two facts, and a multiple-choice question. Based on the given facts, answer the question with index of the correct option (e.g, "A").
Example input: Fact1: a plant requires sunlight to grow, Fact2: Plants to avoid are fast-growing vines that can take over an area in no time., Question: What requires sunlight in order to take over an area? (A) spores (B) fish (C) plants (D) humans (E) pods (F) Oak (G) opossums (H) coral
Example output: C
Example explanation: This is a good example. Based on the facts plants require sunlight in order to take over an area.
Q: Fact1: a speedometer is used for giving a driver feedback on the speed of their vehicle, Fact2: Odometers and speedometers measure distance and speed., Question: What does a speedometer measure? (A) Differences in speed (B) feedback mechanisms (C) Decimal fractions (D) transportation (E) How fast a vehicle is going (F) Driver's skill (G) Distance (H) How much gas a vehicle used
A: | E | 3 | NIv2 | task1297_qasc_question_answering | fs_opt | [
0.3246206045150757,
-0.16977882385253906,
-0.6738943457603455,
-0.23234395682811737,
-0.46231570839881897,
-1.2964274883270264,
0.45142054557800293,
0.9878237247467041,
-0.12660975754261017,
-0.18958210945129395,
-0.9911770820617676,
-0.02558610588312149,
0.23408636450767517,
0.28482943773... |
In this task, you are given one English sentence. The major part of the sentences talk about health-related topics, but some of the them describe an organization and its activities. Your job is to translate the given sentences into Swedish.
Example: The 3 week course is structured around main pillars:
Example solution: Treveckorskursen är uppbyggd kring tre pelare:
Example explanation: The translation is correct
Problem: In the case of cystic disease, symptoms usually appear due to the large size of the cysts.
| Solution: Vid cystisk sjukdom uppträder symtomen vanligen på grund av att cystorna är så stora. | 5 | NIv2 | task1395_europa_ecdc_tm_en_sv_translation | fs_opt | [
0.2175184041261673,
0.6189174652099609,
-0.4403144121170044,
-1.0646569728851318,
0.20741480588912964,
0.03368353843688965,
0.4275475740432739,
0.27852287888526917,
-0.019675301387906075,
0.3943116068840027,
0.33758094906806946,
0.956451416015625,
-0.20554187893867493,
0.32421576976776123,... |
Instructions: In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to write the character's motivation by doing a specific job, which is given in the sentence. You can use context to find the motivation; however, all the inputs do not provide context. Also, in some inputs, there can be zero motivation; output, 'None' in this case.
Input: Context: Roy was a retired construction worker who lived alone. He had recently been widowed and was looking for some company.
Sentence: One day Roy's son and his grandchildren showed up with a surprise.
Character: Bulldog puppy
Output: | None | 3 | NIv2 | task294_storycommonsense_motiv_text_generation | zs_opt | [
-0.4207274913787842,
0.7974284887313843,
0.04386408254504204,
-0.38496530055999756,
-0.03896210342645645,
0.006685612257570028,
0.3810877799987793,
0.8053717613220215,
0.5849852561950684,
-0.20854666829109192,
-0.40046289563179016,
0.07521496713161469,
-0.26374155282974243,
-0.004746257327... |
instruction:
In this task, you are given a question and answer for that. The answer will fill in the blank or will complete the unfinished question. Your task is to provide an explanation based on the given question or fill-in-the-blank statement, and answer.
question:
Question: James left a pot of water out in the sun. As the water started to heat up, what would happen to the rate of evaporation?
Answer: increase
answer:
In transipration, at warmer temperatures water molecules move faster, and the rate of evaporation from stomata is therefore much faster.
question:
Question: Sandra is in a dark building and then suddenly goes exits onto a sunny street. Sarah's pupils will do this in response to the new bright light
Answer: shrink
answer:
The pupil automatically gets bigger or smaller to let more or less light in as needed.
question:
Question: The United states has less industry than South Korea. Therefore, there is more hazardous waste in _____.
Answer: South Korea
answer:
| Nations that have more industry produce more hazardous waste.
| 9 | NIv2 | task223_quartz_explanation_generation | fs_opt | [
-0.12207330763339996,
0.5057945251464844,
-0.37813809514045715,
-0.42283469438552856,
-0.11585165560245514,
-0.7519979476928711,
0.3415834307670593,
0.6038625240325928,
-0.10311448574066162,
-0.07145516574382782,
0.0070562176406383514,
0.2237338423728943,
-0.15188738703727722,
-0.218292638... |
Instructions: In this task, you need to count the number of vowels (letters 'a', 'e', 'i', 'o', 'u') / consonants (all letters other than vowels) in the given sentence.
Input: Sentence: 'a keyboard, two ink pens a remote and some toenail clippers'. Count the number of consonants in the given sentence.
Output: | 28 | 3 | NIv2 | task157_count_vowels_and_consonants | zs_opt | [
0.2691499888896942,
1.0692577362060547,
-1.1034672260284424,
-0.46350353956222534,
0.0797298401594162,
-0.01795976608991623,
-0.25897616147994995,
0.6668213605880737,
0.09338897466659546,
-0.4163168966770172,
-0.17364999651908875,
0.4403344988822937,
0.00020169198978692293,
-1.142585277557... |
You will be given a text in Russian language which contain different emotion labels from the list - ['joy', ' sadness', 'surprise', 'fear', 'anger']. You need to output the incorrect emotion label, which is irrelevant to the input text. Your answer (i) should contain only one emotion label (ii) should be unambiguous.
Когда я шалил , ты сердился на меня и спрашивал :« Как же ты мог ? »– а потом , успокоившись , ласково гладил мой животик . | sadness | 0 | NIv2 | task1663_cedr_ru_incorrect_classification | zs_opt | [
-0.6036989092826843,
0.2174999713897705,
0.2354358434677124,
-0.3569179177284241,
-0.733389139175415,
-0.24162136018276215,
0.4194788932800293,
0.7214409112930298,
-0.239468514919281,
-0.3663274943828583,
-0.4506756365299225,
-0.5350691676139832,
-0.6530234813690186,
0.01264913473278284,
... |
Given a scientific passage and an answer, generate a question for the given answer.
[EX Q]: Passage: Acidity is measured on a pH scale. Rain that is 5.0 or less on that scale is considered acid rain. Answer: ph scale
[EX A]: Acidity is measured on what kind of scale?
[EX Q]: Passage: Cloning is the process of creating an exact genetic replica of an organism. The clone’s DNA is exactly the same as the parent’s DNA. Bacteria and other single-celled organisms have long been able to clone themselves through asexual reproduction. Plants can also reproduce asexually. In animals, however, cloning does not happen naturally. In 1997, that all changed when a sheep named Dolly was the first large mammal ever to be successfully cloned. Other animals can now also be cloned in a laboratory. Answer: cloning
[EX A]: What is the process of creating an exact genetic replica of an organism called?
[EX Q]: Passage: Carbon sequestration captures carbon dioxide as it is emitted by a power plant before it enters the atmosphere. The carbon dioxide is then stored in another form. Carbon is sequestered naturally by forests. Trees take in carbon dioxide for photosynthesis. Artificial methods of sequestering carbon underground are being researched. This is just one of the geoengineering methods that are being researched for reducing carbon dioxide. Answer: carbon sequestration
[EX A]: | What captures carbon dioxide as it is emitted by a power plant before it enters the atmosphere?
| 6 | NIv2 | task594_sciq_question_generation | fs_opt | [
-0.0886252373456955,
0.380219042301178,
-0.3327244520187378,
-0.3050103783607483,
-0.007011278998106718,
-1.0382832288742065,
-0.3849421441555023,
1.2361009120941162,
-0.37447845935821533,
0.4165405035018921,
-0.5895826816558838,
-0.2275943011045456,
-0.7025963664054871,
0.2843131124973297... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Farsi.
Input: Consider Input: Z meduz powstały pierwsze strunowce,
Output: عروس دریایی اولین طناب داران را پدید آورد. [جانوران دارای طناب کوچک عصبی در پشت]
Input: Consider Input: W pracy posługuję się różnorodnymi materiałami i narzędziami.
Output: خُب در رابطه با کار خودم ، من از مواد و ابزارهای گسترده ای استفاده می کنم.
Input: Consider Input: Słyszeli coś o Diecie South Beach, lub o Diecie Atkinsa.
| Output: آنها ممکن است در مورد رژیم غذایی ساحل جنوبی یا رژیم غدایی اتکینز شنیده باشند
| 2 | NIv2 | task1263_ted_translation_pl_fa | fs_opt | [
-0.41115373373031616,
0.5844311714172363,
-0.43001341819763184,
0.0029356717132031918,
-0.6962536573410034,
0.2639774680137634,
0.7100601196289062,
-0.03200702369213104,
0.5411574840545654,
-0.33265697956085205,
-0.5952368378639221,
0.017743222415447235,
-0.6276402473449707,
-0.17087319493... |
Teacher:You are given a conversation between two people.'Person1:' and 'Person2:' are used to separate their respective dialogues. You have to classify if there exist more than 2 unique emotions in conversation. If there are more than 2 unique emotions present in the conversation, the output should be classified as '1' else it should be '0'
Teacher: Now, understand the problem? Solve this instance: Person1: How is the college search going ?
Person2: It's a huge headache . I have no idea what I want to do .
Person1: But don't you want to study music ? Shouldn't it be easy ?
Person2: It should be , but there are too many options . My grades are good enough that I have a lot of choices , but after that ...
Person1: I know . You have to decide if you want to attend a school in a city or in the country , a big school or a small school , a public or private school ...
Person2: Yup , you understand . And my parents are trying to pressure me into going to a Catholic college . They both attended one and think that it combines a good education with good discipline . And the tuition is usually pretty low .
Person1: I see . Well , don't forget to talk to the college counselor at the school . He usually gives good advice and can help point you in the right direction . He gave me some information , and next week I'm going to take a look at some of the colleges he recommended .
Person2: Thanks for the information . And good luck in your college search .
Student: | 1 | 6 | NIv2 | task1535_daily_dialog_uniqueness_classification | zs_opt | [
0.1981353759765625,
-0.05755755677819252,
-0.10681802034378052,
-0.16222339868545532,
0.007662078831344843,
-0.5014126300811768,
-0.044151198118925095,
0.6181610822677612,
-0.2869548201560974,
0.08961907774209976,
0.445525199174881,
-0.6370531916618347,
-0.09176750481128693,
-0.18836888670... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence. You are expected to recognize the name of gene or protein. Although there might be several correct answers, you need to write one of them.
Recent studies have also shown the Th1 cytokine IL - 12 to mediate partial protection to non - viable B . mallei - vaccinated mice [ 6 ] .
Output: | B . mallei | 1 | NIv2 | task1484_gene_extraction_linnaeus_dataset | zs_opt | [
-0.576545238494873,
0.7053503394126892,
0.055651068687438965,
0.012597590684890747,
-0.4146723747253418,
-0.2783592939376831,
0.16042107343673706,
0.8319758772850037,
-0.08789738267660141,
-0.3523302674293518,
-1.0384314060211182,
-0.6299643516540527,
-0.38444340229034424,
0.21737451851367... |
You will be given one or more triples. The second part of each triple shows the relation between the first and the third element. Your task is to write a simple and short piece of text (sentence(s)) that describes the triples in natural language.
Q: Birmingham | postalCode | B_postcode_area
103_Colmore_Row | architect | John_Madin
John_Madin | hometown | Birmingham
Birmingham | governingBody | Birmingham_City_Council
Birmingham | leaderName | Labour_Party_(UK)
A: | Birmingham is lead by the City Council and the Labour Party and has the B postcode. It is the hometown of the architect John Madin who designed 103 Colmore Row. | 4 | NIv2 | task1728_web_nlg_data_to_text | zs_opt | [
-0.7929326295852661,
0.6784137487411499,
0.1875075399875641,
-0.6191225051879883,
0.10382308810949326,
-1.0500149726867676,
0.4090067446231842,
-0.47811955213546753,
-0.3109954595565796,
0.30745160579681396,
-0.4046168923377991,
1.3672699928283691,
-0.6816926002502441,
-0.25062572956085205... |
Q: In this task, you are given an input list A. If the count of numbers is more than that of alphabets in the list, answer 'Numbers Win'. If the count of alphabets is more than that of numbers in the list, answer 'Alphabets Win'. If the count of numbers is same as that of alphabets in the list, answer 'Numbers and Alphabets are Tied'.
['z', 'x', '1287', '1029', 'Y', '1423', 'u', '9341', '4343', '7515', '4629', '3099', 'a', '3551']
A: | Numbers Win | 7 | NIv2 | task523_find_if_numbers_or_alphabets_are_more_in_list | zs_opt | [
-0.15093722939491272,
0.5888760089874268,
-0.445975124835968,
0.017960146069526672,
-0.31305211782455444,
-0.8377604484558105,
0.5249098539352417,
-0.15859255194664001,
0.058063678443431854,
0.47127044200897217,
-0.6629312038421631,
0.3121793866157532,
-0.25898343324661255,
0.1061110347509... |
Teacher: In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Try to find the best answer that is most likely to fill in "_". Note that the URLs in the text have been replaced with [Link].
Teacher: Now, understand the problem? If you are still confused, see the following example:
For four years we have waited expectantly for the pitter patter of tiny paws. Soon, that wait could finally be over. Tian Tian, the UK's only female giant panda, has conceived and could give birth to a cub as early as August. However Edinburgh Zoo, where the pandas live, have warned people 'not to get too excited' as the process is 'extremely complex'. Moreover, on the two previous occasions keepers inseminated Tian Tian - whose name means 'Sweetie' - she has failed to produce a panda cub. She was artificially inseminated again in March this year, but keepers at the zoo say implantation - when a fertilised egg attaches to the uterus - has not yet occurred.Tian Tian has conceived and could give birth to a cub as early as AugustShe has been inseminated twice before but so far failed to produce a cubTian Tian and Yang Guang arrived in 2011 from China to great fanfareOn loan at £600k a year, became first giant pandas to live in UK for 17 years
Questions:Under the terms of the agreement any cubs will return to _ at the age of two, the age at which they would normally leave their mother in the wild.
Solution: China
Reason: This is a good example. Based on the passage, any cubs will return to China at the age of two
Now, solve this instance: Burnley manager Sean Dyche has dismissed speculation linking him with Derby. Recent reports claimed Dyche has been lined up as a possible successor to Steve McClaren, who is the bookmakers' favourite to take over at Newcastle. Dyche says he remains committed to the task in hand at Turf Moor, though. Burnley manager Sean Dyche, aka The Ginger Mourinho, insists he is enjoying life at Turf Moor The Clarets earned a point in a goalless draw with Tottenham but remain fixed in the relegation zone 'I think it's quite obvious, I am enjoying the challenge here. I am not looking further afield,' the Burnley boss said.Sean Dyche has been tipped to replace Steve McClaren at DerbyBurnley boss insists he is enjoying the 'challenge' at Turf MoorDyche can't understand why Arsene Wenger gets stick from Arsenal fans
Question:Some _ fans called for Arsene Wenger's head following a difficult start to the season.
Student: | Arsenal | 2 | NIv2 | task339_record_answer_generation | fs_opt | [
-0.0795406699180603,
0.7246552109718323,
-0.3414812982082367,
0.06461691111326218,
0.10811075568199158,
0.06574008613824844,
0.4604010581970215,
0.7963862419128418,
0.042362868785858154,
0.4179615378379822,
0.07675152271986008,
1.0116769075393677,
-0.6016801595687866,
0.3330930769443512,
... |
Teacher:In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head is located or can be found at/in/on the Tail or not. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Teacher: Now, understand the problem? Solve this instance: Head: conversation<sep>Tail: water cooler
Student: | Yes | 6 | NIv2 | task1207_atomic_classification_atlocation | zs_opt | [
0.44460463523864746,
0.1447841376066208,
0.18468034267425537,
-0.0782637894153595,
-0.4142208397388458,
-0.7852447032928467,
0.8970709443092346,
0.2279062271118164,
-0.4923757016658783,
-0.492251992225647,
-0.13806341588497162,
-0.49176305532455444,
-0.5562297701835632,
0.2107207179069519,... |
instruction:
Given a sentence, generate a most likely context or previous statement. The previous statement should be relevant to the given statement.
question:
Someone stands by him are watching her.
answer:
Someone nods to him and acknowledges the residue of applause.
question:
He points all over the roof and shows a man working on the roof while panning around again.
answer:
A man is seen speaking to the camera and pans over to a roof that is breaking apart.
question:
His whole face appears in the frame and you can see him bobbing his head and focusing more on his sound.
answer:
| One of them is slightly smaller than the other and he tends to play that one and only hitting the larger every couple of beats.
| 9 | NIv2 | task455_swag_context_generation | fs_opt | [
0.04169295355677605,
1.2559112310409546,
-0.15216562151908875,
-0.20758730173110962,
0.27296191453933716,
-0.15994985401630402,
0.22577892243862152,
0.6009339094161987,
0.27320000529289246,
0.13477595150470734,
-0.893438994884491,
-0.12407051771879196,
-0.9091475009918213,
0.69124126434326... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in Chinese, generate a new Chinese 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.
文字是写在纸上。
Output: | 影片在Int 上写下 。 | 1 | NIv2 | task412_mickey_zh_sentence_perturbation_generation | zs_opt | [
-0.8172582387924194,
0.6732877492904663,
-0.26950472593307495,
-0.5091550350189209,
0.5154002904891968,
0.058999720960855484,
0.013757728040218353,
0.8896201252937317,
0.39590245485305786,
-0.22522613406181335,
-0.38723045587539673,
-0.07910460233688354,
0.45476898550987244,
0.303648173809... |
Detailed Instructions: In this task, given a sentence in the Hindi language, your task is to convert it into the English language.
Problem:"अगर बुश प्रशासन अपने आधिकारिक प्रवक्ताओं को सच नहीं बताएगा तो अमेरिकी नागरिक कैसे आशा कर सकते हैं कि उन्हें सच्चाई बताई जाएगी।"
Solution: | "If the Bush administration won't even tell the truth to its official spokesman, how can the American people expect to be told the truth either?" | 8 | NIv2 | task544_alt_translation_hi_en | zs_opt | [
0.13866715133190155,
-0.047272440046072006,
0.9748643636703491,
-0.1774548590183258,
-0.21376797556877136,
-0.8883143663406372,
0.015120882540941238,
0.306866317987442,
0.18465059995651245,
0.021519070491194725,
-0.2630205750465393,
0.04133327305316925,
-0.028696756809949875,
-0.0655239075... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Polish. Your job is to translate the Polish sentence into Japanese.
Example: Wszystko jest robione pomiędzy żebrami.
Output: 全て肋骨の間から行うのです
The Polish sentence is correctly translated into Japanese, because the meaning is preserved.
New input case for you: Ostatnie 60 lat widziało faszyzm, antysemityzm, rasizm, apartheid, dyskryminację na podstawie płci i preferencji seksualnych; teraz pojawia się sprzeciw dzięki inicjatywom by zmienić świat.
Output: | 過去50-60年間にはファシズム、ユダヤ主義、人種差別、アパルトヘイト性別や性的嗜好による差別を目の当たりにしてきましたいずれも圧力を受けたのは世界を変えようという人々の活動が原因でした | 1 | NIv2 | task1257_ted_translation_pl_ja | fs_opt | [
0.41239479184150696,
0.6317397952079773,
-0.23340705037117004,
0.5469489693641663,
-0.22959932684898376,
0.10110684484243393,
0.5608430504798889,
-0.20218807458877563,
-0.21137498319149017,
-0.1702764332294464,
-0.0007960395887494087,
0.7895667552947998,
-0.7948354482650757,
0.363135367631... |
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.
[40, -55, -25]
[10.0, -218, -98]
[82, -54, 89, -76, 26]
[20.5, -13.5, 358, -19.0, 6.5]
[-33, 86, 19, 13, 76, 99, -24, 97, -98]
| [-130, 21.5, 78, 54, 19.0, 398, -6.0, 390, -24.5]
| 0 | NIv2 | task368_synthetic_even_or_odd_calculation | fs_opt | [
-0.4572201371192932,
0.5109585523605347,
-0.12368973344564438,
0.023130882531404495,
0.10239988565444946,
0.10613994300365448,
1.2391999959945679,
0.24130788445472717,
-0.6269488334655762,
0.3587019443511963,
-1.0030536651611328,
-0.3871594965457916,
-0.704909086227417,
-0.4847657382488251... |
This task is about writing a correct answer for the reading comprehension task. Based on the information provided in a given passage, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.
Q: Passage: During World War II, Hitler's Generalplan Ost (general plan for the East) entailed killing, deporting, or enslaving the Slavic and Jewish population of occupied Eastern Europe to create Lebensraum (living space) for German settlers. The Nazi Hunger Plan and Generalplan Ost would have led to the starvation of 80 million people in the Soviet Union. These partially fulfilled plans resulted in the deaths of an estimated 19.3 million civilians and prisoners of war. Question: What is the German word for living space?
A: | Lebensraum | 4 | NIv2 | task075_squad1.1_answer_generation | zs_opt | [
-0.42107126116752625,
0.8158507943153381,
-0.19788923859596252,
-0.5251191854476929,
-0.12531813979148865,
-0.4323471784591675,
0.545918345451355,
0.31427088379859924,
0.49455398321151733,
0.793526291847229,
-0.10971865057945251,
-0.2509560286998749,
-0.893295168876648,
0.04029659926891327... |
A text is given in Gujarati. Translate it from the Gujarati language to the Hindi language. The translation must not omit or add information to the original sentence.
--------
Question: एक प्रकार से दिल्ली के भीतर ही एक Mini ity होगा।
Answer: અને તેનું જ પરિણામ આજનું આ આયોજન છે.
Question: प्रधानमंत्री ने विकास के अन्य क्षेत्रों में हुई प्रगति का भी उल्लेख किया।
Answer: પ્રધાનમંત્રીએ વિકાસના અન્ય ક્ષેત્રોમાં થયેલી પ્રગતિ અંગે પણ વાત કરી હતી.
Question: लेकिन आज दुनिया कह रही है कि भारत multi trillion dollar के investment का destination बन गया है।
Answer: | પરંતુ આજે દુનિયા કહી રહી છે કે ભારત મલ્ટી ટ્રિલિયન ડોલરના રોકાણનું ગંતવ્ય સ્થાન બની ગયું છે.
| 7 | NIv2 | task1034_pib_translation_hindi_gujarati | fs_opt | [
-0.22247253358364105,
0.9122509956359863,
0.3324838876724243,
0.015394470654428005,
-0.12139810621738434,
-0.07594548165798187,
-0.23259064555168152,
0.16826529800891876,
0.10094334185123444,
-0.48972398042678833,
-0.8330385684967041,
0.2996750771999359,
-0.44417762756347656,
0.21494567394... |
Given the task definition and input, reply with output. Your task is to localize given English phrase into Telugu language. When localising, follow these rules - (1) General names and concepts can be translated (2) Domain specific names can just be transliterated (3) Localised phrases can have both partial translated and transliterated parts (4) But only partial translation or only partial transliteration is not allowed (5) Copy special characters and numbers as is
A free Scorched Earth clone for UNIX and X
| యూనిక్స్ మరయు ఎక్స్ కొరకు స్కార్చిడ్ భూమి యొక్క క్లోన్ | 5 | NIv2 | task878_kde4_translation | zs_opt | [
-1.099746823310852,
0.703262984752655,
0.5390611886978149,
0.43183353543281555,
0.24010473489761353,
-1.0456786155700684,
0.6550959944725037,
0.0716438889503479,
0.03636175021529198,
-0.5570577383041382,
-0.4084948003292084,
0.153153195977211,
-0.7002449631690979,
0.365092933177948,
0.19... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: Article: Civil Affairs and Public Security Departments have been urged to take comprehensive steps to help children who are begging on the nation's streets and are often abused. Premier Wen Jiabao said during his online chat with netizens, China Daily reported. Wen said he has paid close attention to the ongoing micro blog campaign that calls on concerned netizens to post photos of children begging on the streets in the hope that police will rescue them and return them to their families. There are many reasons why children turn to begging, including poverty and family problems. Joint efforts will help end the problem. His remarks were welcomed by Yu Jianrong, a professor from the Chinese Academy of Social Sciences, who starts the online campaign to on child begging. The All-China Women's Federation (ACWF) also released a statement encouraging people to contact the police if they find any suspect who abuses, or forces juveniles to beg on the streets. People can either call 110 and or dial 12338 and connect with a hotline set up by the ACWF. The statement was reported by Xinhua News Agency. The micro blog campaign has gained support from charities, and other social institutions since it was launched in January. One Foundation, a Shenzhen-based charity, set up a fund on Feb 19 for a database for sharing information about missing children So far, One Foundation has raised 720,000 yuan ($109,500). Meanwhile, Shanghai Time Plastic Surgery Hospital has offered free plastic surgery to Ren Fangfang, an 8-year-old girl who suffered physical abuse at the hands of a man who used her to beg for him.
Answer: Poverty and family problems contribute to child begging
Student: | Which of the following statements is TRUE according to the passage? | 6 | NIv2 | task311_race_question_generation | zs_opt | [
0.34183672070503235,
0.4476947486400604,
-0.5016932487487793,
-0.6968321204185486,
0.06135442852973938,
0.19575460255146027,
0.02050967328250408,
0.6627899408340454,
-0.521148145198822,
-0.2241993248462677,
-0.641925573348999,
0.7618083357810974,
-0.5017129778862,
-0.017992865294218063,
... |
A text is given in Gujarati. Translate it from the Gujarati language to the Hindi language. The translation must not omit or add information to the original sentence.
One example is below.
Q: તેમણે કહ્યું કે ભિલાઈ સ્ટીલ પ્લાન્ટે દેશના નિર્માણમાં સિંહફાળો આપ્યો છે
A: उन्होंने कहा कि भाई इस्पात संयंत्र ने देश के निर्माण में एक शेरनी दी है
Rationale: Correct translation for given sentence. Input sentence means 'He said that Bhai Steel plant has given a lionry in the building of the country' which is the same as the output sentence.
Q: દિલ્હી પરત થયા અગાઉ તેઓ એરપોર્ટનાં નવા ટર્મિનલ ભવનનું ઉદઘાટન કરશે.
A: | दिल्ली लौटने से पूर्व वह हवाई अड्डे के नए टर्मिनल भवन का उद्घाटन करेंगे। | 9 | NIv2 | task1033_pib_translation_gujarati_hindi | fs_opt | [
-0.5087856650352478,
0.7133076786994934,
-0.1643878072500229,
-0.02589644305408001,
-0.0739252120256424,
-1.201279878616333,
-0.11000145226716995,
0.7504103183746338,
-0.6572489738464355,
0.34788835048675537,
-0.777583658695221,
0.03625873476266861,
0.0017317574238404632,
0.428486853837966... |
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 an answer, and your task is to generate a reasonable question for that answer.
My stomach will be upset if i eat that.
Solution: Do you like pineapple on your pizza?
Why? The answer given was regarding something that the person ate and it caused his stomach upset. The question asked was if that person likes pineapple on pizza. Based on the given answer, the question was predicted correctly.
New input: we might as well
Solution: | Did you want to see that movie? | 0 | NIv2 | task568_circa_question_generation | fs_opt | [
0.016644246876239777,
0.4452292025089264,
0.21508610248565674,
0.21780149638652802,
0.05578300356864929,
-0.08034861832857132,
0.5971131324768066,
0.5946018099784851,
0.4229361116886139,
-0.12396454811096191,
-0.4599689543247223,
-0.5567561388015747,
-0.5280611515045166,
0.2990256845951080... |
TASK DEFINITION: In this task, you're given a passage, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both passage and link information to create the question. Note that the answer to the question should be exactly the given answer, and if the answer is none, the answer to the question shouldn't be obtainable from the passage or linked information.
PROBLEM: Passage: After completing his secondary education at Highgate School, he attended King's College, Cambridge, earning his PhD in theoretical (high-energy) particle physics in 1971. After brief post-doc positions at SLAC and Caltech, he went to CERN and has held an indefinite contract there since 1978. He was awarded the Maxwell Medal and the Paul Dirac Prize by the Institute of Physics in 1982 and 2005 respectively, and is an Elected Fellow of the Royal Society of London since 1985 and of the Institute of Physics since 1991. He was awarded an Honorary Doctorate from the University of Southampton, and twice won the First Award in the Gravity Research Foundation essay competition (in 1999 and 2005). He is also Honorary Doctor at Uppsala University.
Link Information: The Institute of Physics (IOP) is a scientific charity that works to advance physics education, research and application.
It was founded in 1874 Answer: 1874
SOLUTION: When was the institute that awarded Ellis the Maxwell Medal and the Paul Dirac Prize founded?
PROBLEM: Passage: The only nation to deploy female combat troops in substantial numbers was Russia. From the onset, female recruits either joined the military in disguise or were tacitly accepted by their units. The most prominent were a contingent of front-line light cavalry in a Cossack regiment commanded by a female colonel, Alexandra Kudasheva. Others included Maria Bochkareva, who was decorated three times and promoted to senior NCO rank, while The New York Times reported that a group of twelve schoolgirls from Moscow had enlisted together disguised as young men. In 1917, the Provisional Government raised a number of "Women's Battalions", with Bochkareva given an officer's commission in command. They were disbanded before the end of the year. In the later Russian Civil War, they fought both for the Bolsheviks (infantry) and the White Guard.
Link Information: The Russian Civil War (; 7 November 1917 – 25 October 1922) Answer: 5
SOLUTION: Who long did the Russian internal conflict where women fought on both sides last?
PROBLEM: Passage: In the late 1880s, the small, former colony settlement of Broome located on Roebuck Bay in the north of Western Australia consisted of two stores and a few scattered houses. It had no road or rail connection to the south of the Colony and depended on limited sea transport for its supplies and communication. It was not until 1872 that Australia was connected overseas by submarine telegraphic cable, when a cable was laid from Banjoewangie in Java to Darwin. A second cable, paralleling the first, was laid in 1880. Due to frequent breaks in the cable as a result of submarine volcanic activity, there arose an urgent need to lay a third cable, away from the seismic zone.
Link Information: none Answer: none
SOLUTION: | What is the distance between Banjoewangie Java and Darwin Australia?
| 8 | NIv2 | task236_iirc_question_from_passage_answer_generation | fs_opt | [
0.33999064564704895,
0.34143730998039246,
-0.3357008993625641,
-0.7013671398162842,
0.6434851884841919,
0.03560861945152283,
0.8769317865371704,
1.075319528579712,
0.23765456676483154,
0.46816137433052063,
-0.6527854800224304,
0.24598439037799835,
-0.8291894197463989,
-0.32152682542800903,... |
Detailed Instructions: In this task, you are given a sentence in the English language from the various articles. Your task is to translate the given English sentence into the Yoruba language. Please bear in mind the following guidelines while doing the translation: 1) Generated output should have natural language and formal form. The output sentence should not be a colloquial form of the input sentence. The generated output should be in natural language which is how you would type your queries in a text-based virtual assistant. 2) The words between quotation marks *SHOULD NOT* be translated. The output should keep those values intact and include the quotation marks around them as well. 3) Numbers and fully capitalized words like SEPTEMBER, or 10 HOURS *SHOULD NOT* be translated. Keep them as they are in the translations. 4) Do not localize measurement units like miles to kilometers during your translation. 5) Note the input is in sentence case except for special placeholders. Do the same in your translations.
Problem:Final Day of Hearings for Brother Arkadya Akopyan, December 21
Solution: | December 21 Ni Ọjọ́ Tó Kẹ́yìn Tí Arákùnrin Arkadya Akopyan Máa Fara Hàn Nílé Ẹjọ́ | 8 | NIv2 | task1619_menyo20k-mt_en_yo_translation | zs_opt | [
-0.36150890588760376,
0.246803417801857,
0.30190616846084595,
-0.10112494230270386,
-0.07835029065608978,
-0.3052806556224823,
0.7969421148300171,
0.07827910035848618,
0.30836188793182373,
-0.5721395611763,
-0.16604435443878174,
0.340392529964447,
-0.5015925765037537,
0.30956289172172546,
... |
Q: Given a sentence in English language, translate the sentence to Tagalog language keeping the meaning of the original sentence intact.
English sentence: Paul's response to suffering was to endure "the loss of all things to win some for Christ."He wrote to believers "to you it is given not only to believe, but to suffer for Him" (Philippians 1:29).
A: | Ang tugon ni Pablo sa pagdurusa ay magtiis “sa pagkawala ng lahat ng mga bagay para makamtan ang iba para Kay Cristo.” Sumulat siya sa mga mananampalataya “para sa iyo ibinigay hindi lamang para manalig, subalit para magdusa para sa Kanya” (Filipos 1:29). | 7 | NIv2 | task448_opus_paracrawl_en_tl_translation | zs_opt | [
-0.1807781308889389,
0.3030766248703003,
-0.09980159997940063,
-0.09692255407571793,
-0.36398768424987793,
-1.585695505142212,
0.6049178838729858,
0.44999557733535767,
0.31213369965553284,
-0.15846586227416992,
0.04079876467585564,
0.8840020895004272,
0.03413229063153267,
0.452088266611099... |
Teacher: In this task, five ordered key facts are given. All the given facts are expressed in natural language. Your job is to generate a story 100 to 1000 words long, that includes all the facts given as input in their order of appearance while expanding upon them to produce a broader, yet coherent, narrative.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Fact1: Ning returns to home village, Fact2: home village has fallen on desperate times, Fact3: rebel sisters and Moon After discover Elder Chu's pendant short skirmish, Fact4: father is being transported to place of execution, Fact5: Imperial High Monk Before arrives with entourage long
Solution: Following the events of the first film, Ning (Leslie Cheung) parts ways with the Taoist Yin (Wu Ma) and returns to his home village, which has since fallen on desperate times. Fleeing from cannibals, Ning winds up being imprisoned. Sharing a cell with Elder Chu, a renowned scholar, Ning spends apparent months languishing in prison. On the day of Ning's execution, the scholar reveals that he has dug out an escape tunnel. He gives Ning one of his books and a pendant, and sends Ning through the tunnel. Ning obliviously steals the horse of Autumn (Jacky Cheung), a Taoist sectarian. When Ning stops for the night in an abandoned villa, Autumn catches up and the two sort out the misunderstanding. But in the middle of the night, rebel soldiers attack the two visitors. After a short skirmish, the rebel sisters Windy (Joey Wong) and Moon (Michelle Reis) discover Elder Chu's pendant. While Ning mistakes Windy for his love Siu Sin, whom she resembles, the rebels mistake Ning for the Elder Chu. The sisters explain that their father, Lord Fu (Lau Siu-Ming), was framed for a crime and is now being transported to the place of his execution. The rebels' mission is to free him. They set off and leave Ning and Autumn at the villa. The next night, the two discover that the villa actually is haunted by a demon. Autumn manages to injure it, but it flees. He gives pursuit, but without success. He emerges at daybreak on a dirt road, causing an altercation with an imperial convoy led by Fu (Waise Lee). Fu and Autumn battle to a stalemate, and then go their separate ways. Unbeknownst to Autumn, the convoy is the one carrying the sisters' father. Having failed to catch the convoy earlier, the rebels return to the haunted villa, waiting to ambush the convoy there. As the convoy enters, however, the demon returns as well. Maneuvering Fu into fighting the demon, the rebels are able to rescue the sisters' father. Before long, however, the Imperial High Monk arrives with his entourage. He incapacitates the rebels with a spell, which Autumn recognizes as an evil chant. Ning and Windy escape to seek the help of Yin, while Lord Fu, Autumn and Moon are captured by the monk. The captives are brought back to the High Monk's palace. Now suspicious, Fu enters the palace only to find the hollow corpses of the entire royal court inside. Recognizing that the monk is in reality a demon, Fu frees the captives and fights valiantly by himself to allow them time to recover. Lacking spiritual magic, however, Fu is not able to overcome the demon and is destroyed. Just then, Yin and the others arrive. The demon is forced to reveal its true form, a gigantic thousand-year-old centipede. Yin and Autumn are swallowed by the creature, and they separate their souls from their bodies in order to destroy it from the inside. Autumn, however, is not able to return to his body, and his soul floats away. The next day is the marriage of Windy to the Ma family. Ning runs down from his inn to the main street and tells Moon that he wishes Windy a long, happy marriage before leaving. In the desert, as Yin and Ning are about to continue their journey, they see two women approach on horseback, which happen to be Windy and Moon. Windy has escaped from her wedding and decides to leave with Ning
Reason: All the given five facts are present in the generated story in the same order that they appear in the input.
Now, solve this instance: Fact1: Drue Van Allen is in love with communist graduate student Leonard Arner, Fact2: Leonard is ejected from college campus for speaking to students, Fact3: newspaper photographer takes picture of him in Drue 's car, Fact4: Drue refuses to listen to reason general tricks her into boarding airplane bound for Mexico, Fact5: kisses they turn in for night in separate rooms
Student: | Drue Van Allen, the daughter of an American general, is in love with communist graduate student Leonard Arner. When Leonard is ejected from a college campus for speaking to the students, a newspaper photographer takes a picture of him in Drues car and prints it on the front page. When Drue refuses to listen to reason, the general tricks her into boarding an airplane bound for Mexico, supposedly to see her aunt Betty off, then locks her in. She is stuck in Juarez with no money to get home. After a rowdy soldier, Jeff overhears a border policeman warn her not to try to cross into the US, Jeff, whom she nicknames Uncle Sam, strikes up a conversation, telling her he thinks she should be shot. Despite their disdain for each other, they run up a large bar bill, but neither has any money. They skip out and drive away; then Drue tells him he has stolen a government car. When they reach a border crossing, Jeff tries to stop, but Drue presses the gas pedal and they speed into Texas. They manage to evade their pursuers, but crash into a tree. They later kidnap P. J. Rooney, an easygoing, henpecked husband, to ride in his homemade trailer. He is glad to get away from his wife, Edith. They eventually con Baldy, a caretaker, into believing they are friends of his employer, Colonel Turner, and letting them stay in Turners house. After Jeff and Drue dance, he tells her he now loves her; after thinking it over, she kisses him before they turn in for the night, in separate rooms. She later sneaks out and tries to drive away, but the authorities show up and arrest them both. General Van Allen gets Drue out of jail. He is worried about a newspaper story reporting that Drue and Leonard are going to get married and also about information he received from an immigration official that Leonard is not a citizen, but rather a suspected paid propagandist in the country on a student visa. When the general realizes that Drue has feelings for Jeff, he sends for Jeff. After speaking to him informally, the general sends him down to a meeting at which Leonard is supposed to speak. Jeff pretends to have changed his opinion to get Arner to let him talk to the audience. He starts out agreeing with Leonards position, then shows people what he really stands for. A riot breaks out, and Arner is taken into custody for deportation. Drue realizes she is in love with Jeff. They get married and honeymoon in P.J.s trailer. | 2 | NIv2 | task103_facts2story_long_text_generation | fs_opt | [
0.32900911569595337,
-0.13100144267082214,
-0.29681599140167236,
0.5044881701469421,
0.09622425585985184,
-0.8905297517776489,
0.19093941152095795,
1.3338068723678589,
-0.5255087018013,
0.24410097301006317,
-0.26708123087882996,
-0.20389647781848907,
-0.41466856002807617,
0.953425467014312... |
Given the task definition, example input & output, solve the new input case.
Your task is to generate the next utterance in a given dialogue. You will be given a few sentences describing the personality of the person who is making the dialogue, and a history of the dialogue after that. Each line in the history is said by one of the two participants in the conversation.
Example: Personality: I like to keep my stockpile organised.
I love to save money.
I donate any overstock to charity.
I am a couponed.
I shop several times a week.
Chat history: -I love my french bulldog Macy.
-Is it expensive to have a dog? Sounds expensive.
-Yes my foot size is a 10.
-Did you pay full price for your shoes?
-I did I went to Sears.
-I don't like to pay full price for things that I buy.
-I do not either but these were cute.
-There is always something better to do with the leftover money, something that will help everyone.
-Oh I agree charities are the best.
Output: I agree with you, I donate as much as possible.
The conversation is about donation and things to do with leftover money. Since the person usually donates, this is a good dialogue for them.
New input case for you: Personality: I'm obsessed with filming.
I try not to think about death.
Sometimes, people worry I'm crazy.
I love to put a smile on people s faces.
Chat history: -Hello how is it going.
-Its going good. Just been busy filming like I do every day.
-Cool beans I started intern at construction site to be a welder next week.
-I filmed a construction site once. Some people say I am film obsessed and a bit crazy.
-You should film the roller coasters I love riding them.
-That sounds scary, and I try not to think of death.
-I try not to think of my father he left us when I was 5.
-I am sorry, how can I put a smile on your face?
-Roller coasters always make me feel better.
Output: | Then I'll film you after all. I love putting smiles on peoples faces. | 1 | NIv2 | task1729_personachat_generate_next | fs_opt | [
0.3827999532222748,
-0.2477545142173767,
-0.4208763837814331,
0.9833709001541138,
0.2354818433523178,
0.24618232250213623,
0.4825496971607208,
0.6165745854377747,
-0.14434397220611572,
-0.20915693044662476,
-0.3440168499946594,
0.1108526885509491,
-0.06857217848300934,
0.09080812335014343,... |
In this task you are given a list of integers and you need to find the absolute value of the difference between each two consecutive values. The output should be a list of the absolute value of the differences of each two consecutive values.
Example: [7, 1, 5, 8, -4]
Example solution: [6, 4, 3, 12]
Example explanation: The output is a list of the absolute value of the differences of every two consecutive values. So this is a good example.
Problem: [36, 3, -75, -12, 58, 7, 81, -74, -91, -78, -5, -26, -67]
| Solution: [33, 78, 63, 70, 51, 74, 155, 17, 13, 73, 21, 41] | 5 | NIv2 | task125_conala_pair_differences | fs_opt | [
-0.41525745391845703,
0.19285815954208374,
-0.48383474349975586,
0.32501643896102905,
-0.07140512764453888,
-0.18363727629184723,
0.7066993117332458,
0.815104603767395,
0.6105313301086426,
-0.5271275043487549,
-0.23760709166526794,
-0.36024558544158936,
-0.14623555541038513,
-0.11982811987... |
You are given two sentences(Sentence1 and Sentence2). Answer "Yes" if these sentences are a paraphrase of one another, otherwise answer "No".
Q: Sentence1: Freddie Mac shares fell $ 1.49 , to $ 50.01 , on the New York Stock Exchange after official acknowledgment of the criminal investigation ., Sentence2: Freddie Mac shares fell $ 1.50 on Wednesday , to close at $ 50 on the New York Stock Exchange .
A: No
****
Q: Sentence1: " The United States welcomes a greater NATO role in Iraq 's stabilization , " Powell said ., Sentence2: " The United States welcomes a greater NATO role in Iraq 's stabilization , " Mr. Powell told his colleagues in a speech today .
A: Yes
****
Q: Sentence1: However , the talk was downplayed by PBL which said it would focus only on smaller purchases that were immediately earnings and cash flow accretive ., Sentence2: The talk , however , has been downplayed by PBL which said it would focus only on smaller purchases that were immediately earnings and cash flow-accretive .
A: | Yes
****
| 4 | NIv2 | task1288_glue_mrpc_paraphrasing | fs_opt | [
-0.4909436106681824,
-0.027407821267843246,
-0.4713878035545349,
0.6760206818580627,
0.2211664915084839,
-0.37016743421554565,
1.150543212890625,
0.8981842398643494,
0.9035354852676392,
0.10654909908771515,
-1.072380542755127,
0.3076404333114624,
-0.8814847469329834,
0.217412531375885,
0... |
In this task, you're given a question, along with a context passage. The passage will not have a direct answer to the question, but can include some information and a clue for the answer. Assuming you can only obtain information about one entity in the passage, your job is to determine whether information from the passage can be used to answer the question. Indicate your choice as `a` for Yes or `b` for No.
Ex Input:
Question: What is the birth date of the other Polish RSDLP delegate who didn't go to London? Passage:Yakov Hanecki was born in Warsaw, then in the Russian Empire, the son of Stanislav von Fürstenberg, a beer manufacturer of German descent, who had adopted Poland as his homeland. In 1896 he joined the Social Democracy of the Kingdom of Poland (SDKP - later the Social Democracy of the Kingdom of Poland and Lithuania (SDKPiL)) led by Rosa Luxemburg and her lover, Leo Jogiches. He moved to Germany in 1901 and studied in rapid succession at Berlin, Heidelberg, and Zurich universities. From 1902, he was a professional revolutionary, normally based in Cracow, under Austrian rule, organising the transport of illegal literature across the Russian border. In August 1903, as a member of the Main Administration of the SDKPiL, he was one of two Polish delegates to the Second Congress of the Russian Social Democratic Labour Party (RSDLP) in Brussels. The Congress later adjourned to London, under pressure from the Belgian police, and there the RSDLP split into its Bolshevik and Menshevik factions, but Hanecki and the other Polish delegate, Adolf Warski, did not make the journey to London, having failed to agree terms on which the RSDLP and SDKPiL could collaborate.
Ex Output:
b
Ex Input:
Question: Were either of the women who were nominated for awards for Community born outside the United States? Passage:In 2011, Betty White received a nomination for Favorite TV Guest Star at the 37th People's Choice Awards. Yvette Nicole Brown won the 2011 Gracie Allen Award for Outstanding Supporting Actress in a Comedy Series. The series received a nomination for Best Directing for a Comedy Series at The Comedy Awards. The episode "Modern Warfare" won the 2010 Gold Derby TV Award for Comedy Episode of the Year. For the 1st Critics' Choice Television Awards, it was nominated for Best Comedy Series, while Joel McHale and Danny Pudi were nominated for Best Actor and Best Supporting Actor in Comedy Series, respectively. The episode "Abed's Uncontrollable Christmas" won a 2011 Creative Arts Emmy Award for Individual Achievement in Animation. At the 42nd NAACP Image Awards, Justin Lin was nominated for Outstanding Directing in a Comedy Series for the episode "Modern Warfare". At the 27th TCA Awards, Community was nominated for Outstanding Achievement in Comedy and Danny Pudi was nominated for Individual Achievement in Comedy. The series received four nominations for the 2011 Satellite Awards, for Best Comedy or Musical Series, Joel McHale for Best Actor in a Musical or Comedy Series, and Donald Glover for Best Supporting Actor in a Series, Miniseries, or TV Movie; while it won Best Television Release for the season two DVD set.
Ex Output:
b
Ex Input:
Question: Which country earned the most medals during the Olympic games where Wayne was the flag bearer? Passage:Roycroft was born in 1946 as the second of three sons to Bill Roycroft, an Olympic equestrian gold medallist, and his wife, Mavis. He won bronze medals in team eventing at the 1968 Mexico City and 1976 Montreal Olympics, competing alongside his father at both the games. He was selected for the 1980 Moscow Olympics but was affected by the boycott of the games. He was the Australian flag bearer at the 1984 Los Angeles Olympics; his father had done the same thing 16 years previously. He coached the Australian eventing team from 1988 to 2010, taking up the role from his father. his first Olympics as a coach were the 1988 Seoul Games; under his reign the eventing team won gold medals at the 1992 Barcelona, 1996 Atlanta, and 2000 Sydney Olympics and a silver medal at the 2008 Beijing games, and Matthew Ryan won an individual gold medal in 1992 and Andrew Hoy won an individual silver medal in 2000. He was chairman of the International Federation for Equestrian Sports Eventing Committee from 2000 to 2009, and also served as chair of Equestrian New South Wales and Equestrian Australia.
Ex Output:
| b
| 1 | NIv2 | task233_iirc_link_exists_classification | fs_opt | [
0.6157755255699158,
0.08283047378063202,
-0.5701754093170166,
-0.21224695444107056,
0.6295947432518005,
0.36714455485343933,
0.7232276201248169,
0.8318483233451843,
0.09785254299640656,
-0.19168463349342346,
-0.42078131437301636,
0.7791697382926941,
-0.953147292137146,
0.2665760815143585,
... |
Given a sentence with a missing word, pick the answer option that best fills out the missing word in the sentence. Indicate each answer with its index ('a', 'b', 'c', 'd').
Let me give you an example: Female snakes incubate eggs inside of their bodies, giving birth to live young of ____ or more. \Question: Choose the right answer from the options given a) five b) zero c) seven d) ten
The answer to this example can be: d
Here is why: Snakes give birth to minimum ten young ones so ten is a correct answer.
OK. solve this:
Ternary diagrams show the relative proportions of three variables on ____ axes.\Question: Choose the right answer from options given a) ten b) three c) seven d) one
Answer: | b | 8 | NIv2 | task1360_numer_sense_multiple_choice_qa_generation | fs_opt | [
-1.0454092025756836,
0.7146284580230713,
-0.8750637173652649,
-0.2961796522140503,
-0.40068235993385315,
0.03536468744277954,
0.18876174092292786,
0.9971591830253601,
-0.10976606607437134,
0.2858681082725525,
0.2005683332681656,
0.2046429067850113,
-1.0500504970550537,
0.17030391097068787,... |
In this task, you are given two sets, and a question. You need to find whether an element is at the intersection of two given sets. A Set is shown by two curly braces and comma-separated numbers inside, like {1, 2, 3}. The intersection of two given sets is the largest set which contains all the elements that are common to both sets. An element is at the intersection of two given sets, A and B, if common to both A and B. Classify your answers into 'Yes' or 'No'.
Q: Set1: '{2, 4, 5, 6, 9, 10, 14, 15, 16, 17}', Set2: '{16, 13}'. Is the element '16' in the intersection of Set1 and Set2 ?
A: | Yes | 4 | NIv2 | task245_check_presence_in_set_intersection | zs_opt | [
0.2727959454059601,
-0.31045207381248474,
-0.38350945711135864,
0.10552755743265152,
-0.14688172936439514,
-0.16237619519233704,
0.9602664709091187,
0.5973369479179382,
0.1348159909248352,
-0.03961842507123947,
-0.2729726731777191,
-0.05515846237540245,
-0.04141277074813843,
-0.15261134505... |
Definition: In this task, you're given an article, a question which often contains a blank and four options (associated with "A", "B", "C", "D"). Your task is to find the correct answer (from the given options) for the question from the given article and return one of the options from "A", "B", "C", and "D". Do not generate anything else apart from one of the following characters: "A", "B", "C", "D". There is only one correct answer for each question.
Input: Article: Some weightloss camps, which are rare in China just a few years ago,have multiplied in Beijing, Qingdao, Shenzhen,and other cities. Today about 15 percent of adults, or 200 million Chinese, are reportedly overweight.Of these, 90 million--about 7 percent--are obese . Experts say the obesity epidemic is spreading to children, though more slowly than in adults. The obesity, they say, will do harm to the health of China' s citizens and economy."We're seeing a very large number of teenagers who are quite heavy and aren't moving much," said Barry Popkin, a nutrition professor. Popkin carries out an ongoing healthandnutrition survey of 16,000 households in China. He says more kids today are overeating and putting on weight "quite quickly." In just ten years China's childhood obesity rate has doubled,with the greatest gains coming in urban areas."In big cities it's a big problem." Some experts blame the extra fat on a range of factors, many of them tied to China' s rapidly changing economy and culture. The diets of Chinese adults and children are far higher in meats, fish, eggs, dairy products, fats and sugars than ever before. In addition,kids--especially city dwellers--are more today and spend more time indoors in front of homework, television,computer games, and the Internet. Shuwen Ng,a health economist, says that kids in China now have pocket money, and they spend a portion of it on junk food. Ng adds that advertising and peer groups influence kids' food choices. Certain foods, such as new candies or fast food, have attractive features. China' s childhood obesity rate stillfall behind that of the United States, where some 15 percent of kids are said to be obese. But the longterm effects are equally serious.
Question: According to the passage we know _ .
Options: (A) weightloss camps have been very popular in China six years ago (B) about 290 million Chinese are overweight in China in all (C) in China childhood obesity rate in rural areas is lower than that in major cities (D) America' s childhood obesity rate is lower than China's
Output: | C | 2 | NIv2 | task309_race_answer_generation | zs_opt | [
0.46614623069763184,
0.4038484990596771,
-0.4931679964065552,
-0.4227462708950043,
0.3134528398513794,
0.5870146751403809,
0.9916319847106934,
1.1350088119506836,
-0.14325642585754395,
-0.21820682287216187,
-0.5624444484710693,
0.6725007891654968,
-0.852378785610199,
0.13161668181419373,
... |
Given the task definition and input, reply with output. In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additional contexts about the situation that might UNDERMINE or SUPPORT the generalization. An undermining context provides a situation that weakens the hypothesis. A supporting context provides a situation that strengthens the generalization. Your task is to output 'strengthener' or 'weakener' if the update supports or undermines the hypothesis, respectively
Hypothesis: It is good to pry open a door if it is an emergency and you are trying to prevent harm.
Update: it is the only exit and people need to get out.
| strengthener | 5 | NIv2 | task937_defeasible_nli_social_classification | zs_opt | [
-0.6299203634262085,
0.7042977809906006,
0.15225817263126373,
0.4073382616043091,
0.16110189259052277,
-0.44634100794792175,
0.7237062454223633,
0.5891256332397461,
0.44326260685920715,
-0.5119184255599976,
-1.5090510845184326,
0.0021410775370895863,
-0.2830546796321869,
0.0534717589616775... |
Teacher:In this task, you're given an article, a question which often contains a blank, four options (associated with "A", "B", "C", "D") and the answer to that question. Your task is to classify whether the given answer is correct or not by providing "Yes" or "No", based on the article.
Teacher: Now, understand the problem? Solve this instance: Article: In the social and economic fields the UN increased its efforts to fight against poverty, ignorance, hunger, and disease and to help raise the standards of living in the newly developing countries. The sixteenth General Assembly placed considerable emphasis on the idea of economic development by planning the current decade as the United Nations Decade of Economic Development. The agreement called upon UN members to help the newly developing countries achieve a minimum rate of growth of 5% by the end of the decade. It also emphasized the need for industrial development and encouraged cooperation with respect to regional-development programs. In the past the organs and agencies of the UN in the economic field have concentrated largely on economic development. Increased attention was directed towards the need for balance and integration in economic and social development. It was emphasized at various UN meetings that particular attention must be given in the new nations to such problems as urbanization, housing, community development, and child welfare. The Assembly has also offered a $100,000,000 world food program designed to use surplus food to encourage the development of needy countries. The program would improve upon the present unsatisfactory method of disposing of surplus food supplies and would enable the poorer nations to use more of their resources for development purposes. Many of the UN specialized agencies increased their budgets. This means that such agencies as the Food and Agriculture Organization, the United Nations Educational, Scientific, and Cultural Organization, the World Health Organization, and the International Labor Organization will be pushing ahead at an increasing rate to deal with problems in their respective fields. The Assembly again set $150,000,000 as the target figure for the work of the UN Technical Assistance Program and the Special Fund. If funds are available, technical assistance will move ahead at a faster speed.
Question: What was the sixteenth General Assembly's goal?
Options: (A) To help increase the economy of the world. (B) To help emphasize the importance of the economic field. (C) To help newly developing countries to develop. (D) To get their ideas accepted by all the UN members.
Asnwer: C
Student: | Yes | 6 | NIv2 | task310_race_classification | zs_opt | [
0.8559125661849976,
0.10874539613723755,
-0.036689672619104385,
0.2287488430738449,
0.29924818873405457,
-0.4948282241821289,
0.8384730219841003,
0.9245249032974243,
-0.48195546865463257,
-0.17211352288722992,
-0.244267076253891,
0.11731112003326416,
-0.7112545967102051,
0.3995175659656524... |
In this task, you will be presented with a multiple-choice question in Persian, and you should answer the question based on your knowledge. Classify the answers based on options.
--------
Question: معنی کدام گزینه نادرست است ؟ <sep> (A) استوار = محکم (B) شعف = شادمانی (C) ناگوار = خوشایند (D) افزون = کمتر
Answer: C
Question: کدام یک از فعل های زیربه مفعول نیاز دارد ؟ <sep> (A) خنداند (B) چرخید (C) گردید (D) نشست
Answer: A
Question: منبع ۷۸۰ ،A لیتر آب بیشتر از منبع B دارد به وسیله یک مجرا ۱۲۰ لیتر آب منبع A وارد منبع B میشود
منبع A چند لیتر آب بیشتر از منبع B دارد؟
<sep> (A) ۶۶۰ لیتر (B) ۵۴۰ لیتر (C) ۹۰۰ لیتر (D) ۷۲۰ لیتر
Answer: | B
| 7 | NIv2 | task473_parsinlu_mc_classification | fs_opt | [
-0.7820813059806824,
0.9624804258346558,
-0.22020277380943298,
-0.3420485854148865,
-0.4507805109024048,
0.16535381972789764,
0.9417445659637451,
0.3414596915245056,
0.5226994752883911,
-0.19271066784858704,
-0.5674111247062683,
-0.1962774693965912,
-0.36576569080352783,
-0.107736565172672... |
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