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 |
|---|---|---|---|---|---|---|
Definition: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into English.
Input: Eu diria que isto é a maior idiossincrasia humana que temos.
Output: | And this, I would say, is the biggest human foible that we have. | 2 | NIv2 | task1274_ted_translation_pt_en | zs_opt | [
0.058211490511894226,
0.49772509932518005,
0.1520136594772339,
-0.3706399202346802,
-0.5861504077911377,
-0.145189106464386,
0.0408397801220417,
0.6017314791679382,
1.0843021869659424,
0.15258264541625977,
-0.3853936195373535,
0.2309505045413971,
0.011924469843506813,
0.16096144914627075,
... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
See one example below:
Problem: 地球が今よりも無垢だった時代を訪れたかのようでした
Solution: كان الأمر كزيارة أكثر عصور البراءة على كوكب الأرض
Explanation: The Japanese sentence is correctly translated into Arabic, because t... | هذه عملية محسوبة بدقة | 4 | NIv2 | task1224_ted_translation_ja_ar | fs_opt | [
-0.14720195531845093,
0.45832449197769165,
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-0.30394548177719116,
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0.5314320921897888,
-0.31732356548309326,
-0.13827884197235107,
0.2608494162559509,
-0.7834655046463013,
0.20075947046279907,
-0.30348896980285645,
0.60264271497... |
A text is given in Tamil. Translate it from the Tamil language to the Hindi language. The translation must not omit or add information to the original sentence.
Example: முன் கூட்டி அறிந்துகொள்ள முடியாத பருவநிலையினால் ஏற்படும் பாதிப்புகளில் இருந்து விவசாயிகலை பாதுகாக்க பிரதமர் பயிர் காப்பீட்டுத் திட்டம் செயல்படுத்தப்பட... | Solution: आज हर भारतीय गर्व महसूस कर रहा है | 5 | NIv2 | task994_pib_translation_tamil_hindi | fs_opt | [
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0.2684738039970398... |
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 document, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced w... | no | 0 | NIv2 | task423_persent_document_sentiment_verification | fs_opt | [
-0.4113650918006897,
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-0.07144273817539215,
-0.05696238577365875,
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0.2449457347393036,
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0.07073745... |
Detailed Instructions: In this task, you are given a text of article and corresponding title of an article. Your task is to generate label "yes" if headline (title) is right for article, otherwise generate "no".
Q: Article: british muslims condemned as deeply offensive friday a computer game called `` muslim massacre ,... | yes | 9 | NIv2 | task289_gigaword_summarization | zs_opt | [
-0.5975428819656372,
0.709675133228302,
0.006582297384738922,
-0.07618194818496704,
-0.23288962244987488,
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0.07176072895526886,
0.5124853253364563,
-0.7467474937438965,
-0.04299226403236389,
... |
Teacher: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication, or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.
Teacher: Now, understand the problem? If ... | 35 | 2 | NIv2 | task863_asdiv_multiop_question_answering | fs_opt | [
0.3381016254425049,
0.0759800374507904,
-0.37600427865982056,
-0.6750944256782532,
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-0.5732914805412292,
0.39660224318504333,
-0.6666902303695679,
-0.49143505096435547,
-0.45613154768943... |
In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no".
Here are the definitions of log... | yes | 6 | NIv2 | task211_logic2text_classification | fs_opt | [
-0.12001777440309525,
-0.2063172310590744,
-0.35993438959121704,
0.3764485716819763,
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0.05932772159576416,
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0.45166245102882385,
-0.06196948140859604,
0.448242574930191... |
You will be given a definition of a task first, then some input of the task.
Write a correct answer for the question. You should reason about prototypical situations and provide the correct answer. Avoid answers that provide incomplete justification for the question.
name a reason people don't like living next door to... | noise | 1 | NIv2 | task820_protoqa_answer_generation | zs_opt | [
-0.0950184017419815,
1.1209852695465088,
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-0.38539886474609375,
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0.2838253974914551,
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0.6162341237068176,
-0.37583500146865845,
0.014638075605034828,
-0.3176647424697876,
-0.6246131658554077... |
Detailed Instructions: In this task you are given a tweet. You must judge whether the tweet is ironic or not. We define two type of irony for this task ("polarity","situational"). Situational irony happens when a situation fails to meet some expectations. polarity irony happens when irony is achieved by inverting the i... | ironic | 9 | NIv2 | task386_semeval_2018_task3_irony_detection | zs_opt | [
-0.9128761887550354,
0.3366752564907074,
0.6820699572563171,
0.25172072649002075,
-0.27128130197525024,
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0.24791258573532104,
0.6257548332214355,
0.6777209043502808,
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-0.6071948409080505,
-0.5377476215362549,
-0.05795985087752342... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Persian.
Problem:How many people out there are in love? Anyone in love out there?
Solution: | چند نفر از شما عاشق هستید ؟ کسی از شما عاشق هست ؟ | 8 | NIv2 | task1093_ted_translation_en_fa | zs_opt | [
-0.676791787147522,
1.0291926860809326,
-0.5571553707122803,
0.4042038023471832,
-0.22618502378463745,
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-0.527741551399231,
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0.3732818365097046,
-0.5962115526199341,
-1.031740665435791,
0.3509722352027893,
-0.11095844209194183,
-0.2696938216686249,
... |
Detailed Instructions: This task involves annotating the answer type to a given question that involve some kind of complex reasoning (including numerical reasoning). Note that the questions require looking at more than one part of the passage to answer. There are 3 possible answer types (i) spans, (ii) numbers and (iii... | date | 9 | NIv2 | task027_drop_answer_type_generation | zs_opt | [
0.18800456821918488,
0.5633424520492554,
-0.7216068506240845,
0.2597109079360962,
0.41927021741867065,
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0.5178787708282471,
0.773411750793457,
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0.10356225818395615,
0.3512207865715027,
0.855414867401123,
-1.1495311260223389,
-0.28786563873291016,
-... |
In this task the focus is on physical knowledge about the world. Given the provided goal task in the input, describe a process that would lead to the asked outcome. This process often involves physical motions with objects, such as moving them, arranging them in a certain way, mixing them, shaking them, etc.
Q: How to... | In a medium mixing bowl combine 7 cups chilled whipping cream, 2 14 oz. cans sweetened condensed milk 1 teaspoon Vanilla extract. Beat with an electric mixer until soft Peaks form. Stir in 1 1/2 cups Toffee Tastic Girl Scout cookies (Sliced in 3/4" strips or crumbles) and 1/2 cup Chopped Toffee. Transfer mixture to ... | 4 | NIv2 | task080_piqa_answer_generation | zs_opt | [
-0.06918472796678543,
0.598029375076294,
-0.07983550429344177,
0.2727620601654053,
-0.016466815024614334,
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-1.1094419956207275,
0.37338924407958984,
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0.15897032618522644,
-0.042062368243932724,
0.3135409951210022,
-0.5385701656341553,
-0.268294632... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about ... | strengthener | 1 | NIv2 | task935_defeasible_nli_atomic_classification | fs_opt | [
-0.043698180466890335,
0.20567214488983154,
-0.5276869535446167,
0.533428430557251,
0.4182983934879303,
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0.6996588110923767,
1.3624175786972046,
0.344391405582428,
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-0.8838117718696594,
-0.20990556478500366,
-0.2681655287742615,
-0.20221620798110962... |
Given an Amazon review, indicate whether it is a 'Positive Review' or 'Negative Review'.
--------
Question: DO NOT BUY broke in less then 2 months. With extremely minimal use this doesn't work anymore.
Answer: Negative Review
Question: After a lot of research and waiting for price drops, especially on Dell and Sony,... | Positive Review
| 7 | NIv2 | task1343_amazon_us_reviews_rating | fs_opt | [
0.8361780643463135,
-0.531830370426178,
-0.5833448767662048,
0.639244794845581,
0.5882447957992554,
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0.9411116242408752,
1.0062017440795898,
0.4762742817401886,
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0.5684481263160706,
0.2905017137527466,
-0.43612533807754517,
0.06491837650537491,
-0.4... |
Instructions: Given a review text from amazon and its polarity (either positive or negative). Generate answer "True" if given sentence and its polarity match, otherwise generate answer "False". A review is considered positive if the reviewer is satisfied with the product. Otherwise, it is considered negative.
Input: Re... | True | 3 | NIv2 | task494_review_polarity_answer_generation | zs_opt | [
-0.9156466722488403,
0.22704282402992249,
-0.386039137840271,
0.078485406935215,
0.26176804304122925,
-0.08285827934741974,
0.7107852697372437,
0.0892145037651062,
0.5194351673126221,
0.32909345626831055,
0.4059620201587677,
0.3747313618659973,
-0.8141322135925293,
-0.23092812299728394,
... |
Q: You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
Pracowałam z kobietami i dla kobiet, całe moje życie.
A: | لقد عملت مع و لدى الكثير من نساء في حياتي | 7 | NIv2 | task1259_ted_translation_pl_ar | zs_opt | [
-0.7387998104095459,
0.8985457420349121,
-0.3381837010383606,
-0.5223188400268555,
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0.8110812306404114,
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1.1105189323425293,
0.030563920736312866,
0.12331173568964005,
0.05274263396859169,
-0.5469914674758911,
0.4049540162086487... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story such that it seamlessly connects with the rest of the story.
Example: Title: Marcus Buys Khakis. Se... | He said it's more satisfying to create new little cowboys and girls. | 1 | NIv2 | task216_rocstories_correct_answer_generation | fs_opt | [
-0.39902859926223755,
0.7734150290489197,
-0.14850488305091858,
0.21338334679603577,
-0.21186654269695282,
0.4650516211986542,
0.1949932724237442,
0.7848740816116333,
0.16904544830322266,
0.04124186187982559,
-0.8586943745613098,
0.0034165221732109785,
0.20222054421901703,
0.32713222503662... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish.
One example: אבל התחלנו לממש את הרעיון של ללמד כל ילד בנפרד.
Solution is here: Pero comenzamos con la idea de un niño por vez.
Explanation: The Hebrew sentence is correctly translated into Spanish, because the meaning is pres... | Quiero decir, yo era... | 6 | NIv2 | task1236_ted_translation_he_es | fs_opt | [
-0.6001638770103455,
0.44312143325805664,
0.16293427348136902,
-0.16617722809314728,
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1.3154093027114868,
0.8377141356468201,
0.9723536968231201,
-0.44063568115234375,
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0.21860896050930023,
-1.139503836631775,
0.08686129748821259... |
You will be given a definition of a task first, then some input of the task.
You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
These chips are GREAT substitute for the usual high calorie ones offered! I keep th... | Positive | 1 | NIv2 | task586_amazonfood_polarity_classification | zs_opt | [
-0.1503775715827942,
-0.4220869541168213,
0.325914591550827,
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0.0720035582780838,
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-0.2489645332098007... |
You will be given a definition of a task first, then some input of the task.
In this task, you need to reverse the order of words in the given sentence.
Sentence: two bulls sit on the grass facing away from each other
Output: | other each from away facing grass the on sit bulls two | 1 | NIv2 | task376_reverse_order_of_words | zs_opt | [
-0.1955007016658783,
1.0920274257659912,
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-0.4230293333530426,
0.0868795812129974... |
Instructions: In this task, you will be shown a conversation and a question. You need to write an implausible answer to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. "W" and "M" in the conversations stand for "woman" and "man".
Input: W: Look, it says they want a juni... | A position as general manager. | 3 | NIv2 | task283_dream_incorrect_answer_generation | zs_opt | [
-0.3233715891838074,
1.0135825872421265,
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0.20694804191589355,
0.25056594610214233,
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-0.6844563484191895,
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0.3142665922641754,
-0.5006815195083... |
Q: Convert a disfluent question to a proper question. A disfluent question is a question that has some interruptions in it while framing. A proper question is the correct form of the question without any disfluency.
Who captured or how were British unable to cut supplies to Louisbourg?
A: | How were British unable to cut supplies to Louisbourg? | 7 | NIv2 | task1622_disfl_qa_text_modication | zs_opt | [
0.341941237449646,
1.2972395420074463,
0.0593118779361248,
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... |
Detailed Instructions: Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the buildin... | I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT 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 | 9 | NIv2 | task128_scan_structured_text_generation_command_action_short | zs_opt | [
-0.15331672132015228,
0.9318073391914368,
-0.14039969444274902,
-0.025859691202640533,
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0.2879927158355713,
-0.7160794138908386,
-0.017466325312... |
instruction:
In this task, you are given an article. Your task is to summarize the article in a sentence.
question:
The 26-year-old American weighed in at 140.4 pounds and had two hours to lose the 0.4lbs but failed to return to the scales.
He was due to defend his belt against Theophane in Washington.
The fight will s... | Germany has insisted it was responsible for the Holocaust, after Israel's prime minister claimed a Palestinian leader told the Nazis to kill Europe's Jews.
| 9 | NIv2 | task1290_xsum_summarization | fs_opt | [
0.7330944538116455,
0.4512753486633301,
-0.4945870339870453,
0.2563035786151886,
0.4099007844924927,
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0.930323600769043,
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1.3290969133377075,
-1.154638648033142,
0.3953282833099365,
0.1... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to arrange the sentences in order to make a story that makes complete sense and is apt for the title. Indicate your answer using th... | 54213 | 1 | NIv2 | task217_rocstories_ordering_answer_generation | fs_opt | [
0.3967195451259613,
0.09227444231510162,
-0.6795358657836914,
0.23134669661521912,
0.48775696754455566,
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0.12392815947532654,
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0.47143372893333435,
-0.9061785936355591,
-0.09165999293327332,
-0.468234658241272,
-0.10693810135126... |
You are given a statement written in Hindi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Statement: मियां मोहम्मद शाहबाज शरीफ पाकिस्तान के प्रसिद्ध राजनेता, पाकिस्तान मुस्लिम लीग (नवाज समूह) के प्रमुख सद... | लाहौर | 0 | NIv2 | task947_wiki_cloze_hi_multiple_choice_question_answering | zs_opt | [
0.11611258238554001,
0.5884368419647217,
-0.24491895735263824,
-0.4046178460121155,
-0.3747784495353699,
0.3983621895313263,
0.1883540004491806,
0.9101935625076294,
0.1139722689986229,
0.2852669060230255,
-0.9156016111373901,
0.6122671961784363,
-0.2830047607421875,
-0.0644436851143837,
... |
Instructions: In this task, you will be presented with a question in Dutch language, and you have to write the location names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Identifier used for the location name - LOC. . There can be instances with no location name enti... | None | 3 | NIv2 | task1546_conll2002_location_name_extraction_answer_generation | zs_opt | [
0.02805176191031933,
0.36445266008377075,
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0.8414672613143921,
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0.3682853579521179,
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0.7319177389144897,
-0.051024578511714935,
-0.0771526992321... |
A text is given in Bengali. Translate it from the Bengali language to the Marathi language. The translation must not omit or add information to the original sentence.
Example Input: या संदर्भात, त्यांनी आयुष्मान भारत, स्वच्छ भारत अभियान आणि प्रधान मंत्री आवास योजनेसारख्या शासनाच्या विविध विकासात्मक पुढाकारांचा उल्लेख ... | এই কোডের ফলে ইচ্ছাকৃতভাবে ব্যাঙ্ক বা আর্থিক সংস্থাগুলি থেকে নেওয়া ঋণ না মেটানোর মনোভাবও কমেছে।
| 3 | NIv2 | task1062_pib_translation_marathi_bengali | fs_opt | [
-0.7405904531478882,
0.28005826473236084,
0.07671231031417847,
-0.16653434932231903,
-0.18336907029151917,
-0.22897833585739136,
0.8139369487762451,
0.5822547674179077,
-0.5604034066200256,
0.18002969026565552,
-0.9365382194519043,
0.521230936050415,
-0.5808172821998596,
-0.121776148676872... |
Given the task definition, example input & output, solve the new input case.
Given a scientific question, generate a correct answer to it.
Example: Who proposed the theory of evolution by natural selection?
Output: darwin
This is a direct fact that Charles Darwin proposed the theory of evolution.
New input case for yo... | form | 1 | NIv2 | task591_sciq_answer_generation | fs_opt | [
0.025552086532115936,
0.547851026058197,
-0.3814782500267029,
-0.026370778679847717,
-0.35733136534690857,
-0.1769932508468628,
-0.6576544046401978,
0.08145588636398315,
0.41554126143455505,
0.06985779106616974,
-0.3139355480670929,
0.2126152366399765,
-0.6888297200202942,
-0.6913425922393... |
Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
Let me give you an example: Who was the first American President?
The answer to this example can be: president of the united states
Here is why: The question talks about the president of the USA.... | breakfast at tiffany's | 8 | NIv2 | task899_freebase_qa_topic_generation | fs_opt | [
0.35441720485687256,
0.426568865776062,
-0.2729327976703644,
0.7726845145225525,
-0.41840434074401855,
-0.5834881663322449,
0.3234577775001526,
-0.08468162268400192,
0.09751489758491516,
-0.15700235962867737,
-0.415485143661499,
-0.024191930890083313,
-0.5761343240737915,
-0.28519853949546... |
In this task, answer 'Yes' if the frequency of the given word in the two sentences is equal, else answer 'No'.
[Q]: Sentence1: 'a male skateboarder in a black shirt is skating', Sentence2: 'little children visit the krispy kreme factory with their mother'. Is the frequency of the word 'factory' in two sentences equal?... | No
| 5 | NIv2 | task159_check_frequency_of_words_in_sentence_pair | fs_opt | [
-0.36457425355911255,
0.29196882247924805,
-0.3152306079864502,
0.0642351359128952,
-0.195731520652771,
-0.337033212184906,
-0.004369419068098068,
1.2153379917144775,
-0.6070600748062134,
0.3141270577907562,
-0.4404084086418152,
-0.32572856545448303,
-0.09973367303609848,
0.086937293410301... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
This task is to translate the Telugu Language Input to English Language Output
నేను వీడియో చేస్తున్నాను
Solution: I am making a video.
Why? Both the sentences says the same meaning in different lang... | Call Support 0086-13869856893 | 0 | NIv2 | task1617_cc_alligned_translate_tel_eng | fs_opt | [
-0.12317018210887909,
0.20882494747638702,
0.32086101174354553,
0.5287160277366638,
0.3170621991157532,
-0.1973089873790741,
-0.6188409328460693,
1.1303890943527222,
-0.3376140892505646,
0.0843929722905159,
0.5951510071754456,
-0.5951461791992188,
-0.2273014485836029,
-0.35656678676605225,... |
We would like you to classify each of the following sets of argument pairs (discussing Gun Control) 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 FAC... | Output: Not similar
| 2 | NIv2 | task146_afs_argument_similarity_gun_control | fs_opt | [
0.32496005296707153,
0.2738263010978699,
-0.3589555621147156,
-0.01855861023068428,
0.25994765758514404,
-1.2135250568389893,
0.4969030022621155,
0.9671909809112549,
-0.08106342703104019,
0.6644586324691772,
-0.7753602266311646,
0.2462286800146103,
-0.8860393762588501,
-0.35340800881385803... |
Detailed Instructions: In this task you are given a story and a question regarding that story. You must judge whether the question is answerable based on the info given to you. Label the instances as "Answerable" or "Not Answerable" based on your judgment. the story and the question are separated by a new line characte... | Answerable | 9 | NIv2 | task290_tellmewhy_question_answerability | zs_opt | [
-0.3318184018135071,
0.017055708914995193,
0.26685696840286255,
0.32686904072761536,
-0.5391367673873901,
-0.4057263731956482,
0.34397298097610474,
0.5421298742294312,
0.3300231099128723,
-0.04488729313015938,
-0.00010868697427213192,
-0.346160352230072,
-0.4927977919578552,
-0.12526497244... |
Instructions: In this task, you will be presented with a question having multiple possible answers in Swahili language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Input: Question: am alikuwa jirani mbaya sana. Alikuwa mwenye kukasirisha, na kuchu... | D | 3 | NIv2 | task1144_xcsr_sw_commonsense_mc_classification | zs_opt | [
-0.4503812789916992,
1.6260018348693848,
0.14882783591747284,
-0.3999236822128296,
-0.6827141642570496,
-0.9973701238632202,
1.4708582162857056,
0.8556380867958069,
0.4400300681591034,
-0.4263186454772949,
-0.6513457894325256,
0.913773775100708,
-0.7140402793884277,
-0.5839234590530396,
... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into English.
Ex Input:
Antes disso, só para que saibam, todas as vezes que vamos um um lugar, não temos um agente turístico, então montamos os comandos — somos um grupo de amigos que chega ali, e tentamos colar nas paredes.
Ex O... | Looking at one of these particular summaries, I can then drill into the concept of Time magazine Person of the Year, bringing up all of them.
| 1 | NIv2 | task1274_ted_translation_pt_en | fs_opt | [
-0.32325291633605957,
0.5716853141784668,
-0.4209502637386322,
-0.16117346286773682,
-0.04315816983580589,
-1.3296573162078857,
-0.38447248935699463,
0.7231113910675049,
-0.1414664387702942,
0.6522220373153687,
0.10167380422353745,
0.7781040668487549,
-0.9779903888702393,
-0.46921676397323... |
A text is given in Tamil. Translate it from the Tamil language to the Telugu language. The translation must not omit or add information to the original sentence.
Example input: ఆయన తీసుకొన్న చొరవ తో అగర్తలా లో ఒక విమానాశ్రయాన్ని నిర్మించడం జరిగింది
Example output: ஒரு விமான நிலையம் அகர்தலாவில் அவரது முன்முயற்ச... | நீங்கள் மரியாதைக்குரிய இந்தப் பொறுப்பில் இருந்து அவையை நடத்தி உள்ளீர்கள். அனைவரையும் கருத்தில் கொண்டு அவையை முன்னெடுத்துச் சென்றீர்கள். | 3 | NIv2 | task1076_pib_translation_telugu_tamil | fs_opt | [
0.6482902765274048,
0.9676914215087891,
0.4094676673412323,
0.21923404932022095,
0.6082082986831665,
-0.6017975807189941,
-0.3414892554283142,
0.14890238642692566,
-0.6234694123268127,
0.29503166675567627,
0.020226534456014633,
0.5724917054176331,
-0.6605215072631836,
0.0000230681616812944... |
In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to write a question that clarifies the given question in such a way that the generated question has one unique answer.
One example: Lucifer how many episodes are in season 3?
Solution is here: How many episodes o... | How many NASCAR Cup Series wins does Denny Hamlin have? | 6 | NIv2 | task670_ambigqa_question_generation | fs_opt | [
-0.4830831289291382,
-0.21025250852108002,
0.2861037254333496,
-0.6951499581336975,
-0.41766178607940674,
0.048927970230579376,
0.11007735133171082,
-0.5765742063522339,
-0.1400352120399475,
-0.3282608389854431,
-0.8486109972000122,
0.6912646293640137,
-1.1893843412399292,
0.03887988999485... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your answer must be in the form of the letters E, C, and N respectively.
Sentence 1:... | C | 0 | NIv2 | task190_snli_classification | zs_opt | [
-0.2820475697517395,
0.29614871740341187,
0.4004431962966919,
0.20857548713684082,
-0.00808040052652359,
-0.618783175945282,
-0.015433670952916145,
1.1171650886535645,
0.10734497010707855,
-0.24541205167770386,
-0.7696956396102905,
-0.5232064723968506,
-0.16162119805812836,
-0.322576105594... |
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 German.
Healthcare-associated infections (HCAI)
Nosokomiale Infektionen (NI)
Postal ad... | Vertrauen;
| 0 | NIv2 | task1396_europa_ecdc_tm_en_de_translation | fs_opt | [
-0.25844788551330566,
0.1051279827952385,
0.3645213842391968,
-0.8676763772964478,
-0.3021906912326813,
-0.28163182735443115,
0.6462888717651367,
-0.04470513015985489,
0.5253728032112122,
-0.03814147040247917,
-0.22253529727458954,
-0.10372294485569,
-0.25478512048721313,
0.428159356117248... |
Instructions: In this task, you are given a sentence in Persian, and your task is to translate it into English.
Input: اندین کورنتز مینویسد که آب رودخانه آمازون در برخی از نقاط به پایینترین حد خود رسیده است.
Output: | The water level of the Amazon River has been dropping to near record lows. | 3 | NIv2 | task662_global_voices_fa_en_translation | zs_opt | [
-0.5842117071151733,
1.1451468467712402,
0.5137979388237,
-0.6729811429977417,
-0.48089247941970825,
-0.1853318065404892,
0.5766630172729492,
0.10497992485761642,
0.38261017203330994,
-0.221744105219841,
0.10085572302341461,
-0.22296768426895142,
-0.6341666579246521,
0.03660453483462334,
... |
Definition: 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 indiv... | green_treasure_chest | 2 | NIv2 | task153_tomqa_find_location_hard_clean | zs_opt | [
0.23946604132652283,
-0.7795841693878174,
-0.39731743931770325,
0.019276000559329987,
-0.20997092127799988,
-0.7303863763809204,
-0.6342267990112305,
0.8408114910125732,
0.256544828414917,
-0.2308095395565033,
-0.5388767719268799,
0.36005038022994995,
-0.028634989634156227,
0.0999093279242... |
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... | Solution: Yes | 5 | NIv2 | task1199_atomic_classification_xattr | fs_opt | [
0.5976688265800476,
-0.16538822650909424,
0.2923160195350647,
-0.06971649825572968,
-0.39774584770202637,
-1.0350898504257202,
0.9858534932136536,
0.8992824554443359,
-1.1034883260726929,
-0.1553521305322647,
-0.4756729304790497,
-0.44249117374420166,
-0.9424342513084412,
0.103676959872245... |
Teacher:You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Portugese.
Teacher: Now, understand the problem? Solve this instance: الحقائق مهمة. يجب علبكم أن تعرفوا أشياء كثيرة لتصبحوا علماء. هذه هي الحقيقة.
Student: | Os factos são importantes. Temos de saber um monte de coisas para sermos cientistas. Isso é verdade. | 6 | NIv2 | task1109_ted_translation_ar_pt | zs_opt | [
0.057311560958623886,
0.5453042984008789,
0.051027923822402954,
-0.7624204158782959,
-1.0532915592193604,
-0.6720012426376343,
0.27822521328926086,
0.3185638189315796,
0.20802293717861176,
-0.9555093050003052,
-0.5211980938911438,
-0.19386506080627441,
-0.4217420518398285,
-0.2366335690021... |
Detailed Instructions: In this task, we have Spanish and Catalan tweets for automatic stance detection. The data has three labels Against, Favor, and Neutral which express the stance towards the target -independence of Catalonia. If the tweet criticizes the independence of Catalonia then it's 'Against' and if the tweet... | Against | 8 | NIv2 | task1646_dataset_card_for_catalonia_independence_corpus_text_classification | zs_opt | [
-0.4337836503982544,
0.9902768731117249,
0.148328959941864,
0.3011956810951233,
-0.28582763671875,
-0.7722927331924438,
0.2824718952178955,
0.9139708876609802,
0.3877861797809601,
0.5311520099639893,
-0.4627766013145447,
-0.09989848732948303,
-0.2603619396686554,
-0.4925316274166107,
-0.... |
Instructions: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
Input: Comment: I'd rip his balls o... | Threat | 3 | NIv2 | task322_jigsaw_classification_threat | zs_opt | [
-0.3849696218967438,
1.0487451553344727,
0.6461255550384521,
0.49980515241622925,
-0.035000696778297424,
-0.5458704829216003,
1.0633774995803833,
1.0045430660247803,
0.03057754412293434,
0.10586114972829819,
-0.33378303050994873,
0.18255206942558289,
-1.0146489143371582,
-0.771256327629089... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Japanese.
كنا على الجانب البيافري
Output: | 准将をしていました | 1 | NIv2 | task1231_ted_translation_ar_ja | zs_opt | [
-0.4671779274940491,
0.5664159655570984,
-0.05628832429647446,
-0.5407869219779968,
-0.35990142822265625,
-0.02657301537692547,
1.343117594718933,
0.5427217483520508,
0.6456199884414673,
0.5343817472457886,
-0.3372495174407959,
0.08270223438739777,
-0.752205491065979,
0.0961776077747345,
... |
In this task you are given a story and a question regarding that story. You must judge whether the question is answerable based on the info given to you. Label the instances as "Answerable" or "Not Answerable" based on your judgment. the story and the question are separated by a new line character.
Example Input: Sara... | Not Answerable
| 3 | NIv2 | task290_tellmewhy_question_answerability | fs_opt | [
-0.3025051951408386,
0.38522645831108093,
0.18694816529750824,
0.38099122047424316,
0.15106236934661865,
-0.7712616920471191,
0.03880240023136139,
0.8062829971313477,
-0.20559780299663544,
-0.07962537556886673,
-0.46152329444885254,
-0.057465896010398865,
-0.5909414291381836,
-0.2933520376... |
Teacher:In this task, you are given a review of a product in the Polish language. Your task is to classify the given product review into these three categories: 1) positive, 2)neutral, 3) negative based on its content.
Teacher: Now, understand the problem? Solve this instance: Text: Nie wiem czy miałem pecha, czy ten p... | negative | 6 | NIv2 | task634_allegro_reviews_classification | zs_opt | [
-0.9069320559501648,
0.4722873270511627,
0.32478487491607666,
-0.3586558401584625,
0.7066940069198608,
-0.05379905179142952,
1.2106679677963257,
0.5974301695823669,
-0.1404956579208374,
0.6176627278327942,
0.3350595533847809,
0.6685003638267517,
-0.20416447520256042,
-0.4810178279876709,
... |
You are given a sentence in English. Your job is to translate the English sentence into Italian.
Ex Input:
The good news is that the scientists who've been studying motivation have given us this new approach.
Ex Output:
E la buona notizia in tutto ciò è che gli scienziati che studiano la motivazione ce lo hanno trova... | WK: Lasciata la scuola, sono andato in biblioteca e ho letto un libro, chiamato Usare l'Energia, WK: Lasciata la scuola, sono andato in biblioteca e ho letto un libro, chiamato Usare l'Energia, che conteneva le istruzioni per costruirlo. Così ci ho provato e l'ho fatto.
| 1 | NIv2 | task1091_ted_translation_en_it | fs_opt | [
-0.797318696975708,
-0.24830597639083862,
-0.5348809361457825,
-0.5644786953926086,
-0.5581903457641602,
-0.9306440353393555,
0.03496285527944565,
0.41694217920303345,
0.25961577892303467,
0.06057286262512207,
-0.2507728636264801,
0.2876145541667938,
0.286894291639328,
0.5520471334457397,
... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your answer must be in the form of the letters E, C, and N respectively.
Sentence 1:... | C
| 0 | NIv2 | task190_snli_classification | fs_opt | [
-0.5497245788574219,
0.1985701322555542,
-0.3609287142753601,
0.16156518459320068,
0.4441888928413391,
-0.7825182676315308,
-0.1353338658809662,
0.9789592027664185,
0.2003203183412552,
0.3578249216079712,
-0.4986605942249298,
0.02762437053024769,
-0.27797162532806396,
-0.39167261123657227,... |
In this task, you're given an article and an answer. Your task is to generate the question for the answer based on the given article.
--------
Question: Article: Mark Twain is a name not usually connected with Broadway , but now his play "Is He Dead" will receive its first public performance on November 29. "Is He Dead... | Who is the One-Minute Drill intended for?
| 7 | NIv2 | task311_race_question_generation | fs_opt | [
0.48671954870224,
0.230213463306427,
0.1695834994316101,
-0.4347050189971924,
0.9719135761260986,
-0.3109385371208191,
0.8517951965332031,
0.30008694529533386,
-0.7017467021942139,
0.6309760212898254,
0.2899874448776245,
0.05144539102911949,
-0.27262067794799805,
0.3924753665924072,
0.35... |
In this task, you're given a passage, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
Let me give you an example: Passage: The group... | Answer: White-tailed Spiders | 8 | NIv2 | task238_iirc_answer_from_passage_answer_generation | fs_opt | [
0.0891786441206932,
0.512618362903595,
-0.9765343070030212,
-0.20934009552001953,
0.5679168701171875,
-0.5107074975967407,
0.7821967601776123,
0.607505202293396,
-0.04850874841213226,
-0.0009212398435920477,
-0.4012491703033447,
0.606630265712738,
-0.9249496459960938,
-0.04719168320298195,... |
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.
[Q]: புலி பதுங்குவது பாய்வதற்கு தான்
[A... | Hope Speech
| 5 | NIv2 | task680_hope_edi_tamil_text_classification | fs_opt | [
-1.1987524032592773,
0.34840744733810425,
0.4078123867511749,
0.5378533601760864,
-0.7749230861663818,
-0.9531226754188538,
0.32125282287597656,
0.6607065200805664,
-0.3854832053184509,
0.666073739528656,
-0.03025689721107483,
0.29326045513153076,
-0.20489534735679626,
-0.15982064604759216... |
Q: In this task, you're expected to write answers to questions involving multiple references to the same entity. The answer to the question should be unambiguous and a phrase in the paragraph. Most questions can have only one correct answer.
Passage: Set during the American Civil War, the story focuses on Charlotte Lov... | Delia. | 7 | NIv2 | task002_quoref_answer_generation | zs_opt | [
0.05621546879410744,
0.2628363370895386,
-0.30380815267562866,
0.28847944736480713,
0.159193217754364,
0.491425096988678,
0.11201594024896622,
0.7415435314178467,
-0.02819221094250679,
0.2436494082212448,
-0.21157881617546082,
0.4107455015182495,
-0.46589523553848267,
-0.30290350317955017,... |
Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
I bought the book with some interest because of my past experience in a number of other cas... | Bad review | 0 | NIv2 | task929_products_reviews_classification | zs_opt | [
-0.4272613525390625,
0.31238853931427,
-0.2951951026916504,
-0.199947789311409,
0.33249610662460327,
-0.8361746072769165,
0.9016042351722717,
0.8984787464141846,
0.08100338280200958,
0.5655968189239502,
-0.43495190143585205,
0.09103228896856308,
-0.796862006187439,
-0.24926164746284485,
... |
Q: In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the alphabetical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no alphabetical element is in the list.
['R', 'P'... | 1, 2, 4, 5, 11 | 7 | NIv2 | task506_position_of_all_alphabetical_elements_in_list | zs_opt | [
-0.3823030889034271,
0.9520326256752014,
0.06543929129838943,
-0.5654932260513306,
0.11486741155385971,
-0.09850314259529114,
1.1417973041534424,
0.18775023519992828,
-0.41087138652801514,
0.09129239618778229,
-0.4843350350856781,
-0.09170784056186676,
-0.048005715012550354,
-0.38097459077... |
Read the given query and classify it as a 'Good' or 'Bad' query depending on how well the query is formed, 'Bad' being the expected output for a not so well formed query and 'Good' being the expected output for a well formed query. A query may be wrong based on common sense or general facts, but if it is well formed, y... | Bad
| 3 | NIv2 | task673_google_wellformed_query_classification | fs_opt | [
-0.2924594283103943,
0.5271677374839783,
-0.21951715648174286,
-0.6657351851463318,
-0.13657620549201965,
-0.6797027587890625,
0.7861604690551758,
-0.03453722596168518,
0.0639616921544075,
0.22033841907978058,
-0.4741764962673187,
-0.20903024077415466,
-0.6630434989929199,
-0.3892506361007... |
In this task, you're given four sentences of a story written in natural language, and one last sentence (Sentence5). Your job is to classify whether the last sentence completes the rest of the story coherently or not by providing 'Yes' or 'No'.
Q: Sentence1: Today was Iris's fifth birthday! Sentence2: Her mom had plann... | Yes | 4 | NIv2 | task298_storycloze_correct_end_classification | zs_opt | [
-0.07973836362361908,
0.08199359476566315,
1.0029890537261963,
-0.13630858063697815,
-0.028187375515699387,
-0.6006527543067932,
-0.11014585196971893,
0.5076919794082642,
0.20757421851158142,
0.5756404399871826,
-0.3108515739440918,
-0.8195483684539795,
-0.26571518182754517,
0.417998611927... |
Detailed Instructions: In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen after that sentence. Is any of them directly caused by it, or is made possible by it? You should write your answer in the form " A >causes/enables> B". Try to use phrases and sent... | Kate walks to school >Causes/Enables> Kate arrives at school | 8 | NIv2 | task748_glucose_reverse_cause_event_detection | zs_opt | [
0.2513992190361023,
0.5553780198097229,
-0.1840325891971588,
0.15941795706748962,
-0.12241025269031525,
-0.7408167719841003,
0.2441219836473465,
1.2317531108856201,
-0.19987523555755615,
0.14199675619602203,
0.03721659258008003,
0.4899074137210846,
0.10835279524326324,
-0.30682599544525146... |
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]: Prions cause transmissible spongiform encephalopathies for which no treatment exists. Prions consist of PrPSc, a misfolded and aggregated form of the cellular prion protein... | Aerobic capacity in black adolescent girls.
| 5 | NIv2 | task1586_scifact_title_generation | fs_opt | [
0.3385907709598541,
0.3684619665145874,
-0.08038090169429779,
-0.4716627597808838,
0.5782880783081055,
0.17883305251598358,
0.6212476491928101,
1.0211141109466553,
0.02540779486298561,
0.46528327465057373,
-0.8092842102050781,
0.3321431875228882,
-0.610241711139679,
0.09199023991823196,
... |
In this task, you are given music product reviews in German language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Q: Stark an den Instrumenten . Mit "Tambu" kommen Toto erstmals mit ihrem neuen Weltklasse-... | POS | 4 | NIv2 | task481_cls_german_music_classification | zs_opt | [
0.5233542919158936,
0.14921748638153076,
-0.4350854456424713,
0.06306695938110352,
0.7258195877075195,
-0.7543883323669434,
0.7999008893966675,
0.4426794946193695,
0.3866267800331116,
0.9729312658309937,
-0.08318544924259186,
0.5006105303764343,
-0.6693991422653198,
-0.31330835819244385,
... |
Teacher:In this task you are given a story and a question regarding that story. You must judge whether the question is answerable based on the info given to you. Label the instances as "Answerable" or "Not Answerable" based on your judgment. the story and the question are separated by a new line character.
Teacher: Now... | Not Answerable | 6 | NIv2 | task290_tellmewhy_question_answerability | zs_opt | [
-0.20069986581802368,
0.18977676331996918,
0.5217828750610352,
-0.4327203929424286,
-0.06122395396232605,
-0.952937126159668,
-0.20718558132648468,
0.7319830656051636,
0.29156678915023804,
0.7458516955375671,
0.24633371829986572,
0.39072704315185547,
-0.6277719736099243,
-0.760055184364318... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to classify the conversation either convey 'No emotion' or 'Happiness' by providing '1' and '0', respectively.
[Q]: Person1: Excuse me , madam . May I see your ticket , please ... | 0
| 5 | NIv2 | task1536_daily_dialog_happiness_classification | fs_opt | [
0.5012714266777039,
0.26284223794937134,
-0.1128431111574173,
0.19502246379852295,
0.2520056664943695,
0.25899437069892883,
0.04106048494577408,
0.41805869340896606,
-0.35568326711654663,
0.12302163988351822,
-0.08343294262886047,
-0.5968503355979919,
-0.2346619963645935,
-0.00986249651759... |
Q: In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: religious or non-political religious on the ... | non-religious | 7 | NIv2 | task1492_bengali_religious_hate_speech_binary_classification | zs_opt | [
-0.7472594380378723,
0.16131150722503662,
0.17417344450950623,
0.22470134496688843,
-1.3243072032928467,
-0.5167372822761536,
0.5726069211959839,
0.21653923392295837,
-0.18434247374534607,
-0.5010930299758911,
-0.42510050535202026,
0.3734801411628723,
0.11033190786838531,
-0.10220038890838... |
TASK DEFINITION: In this task, you will be shown a conversation and a question. You need to answer the question and choose the correct option based on the conversation. "W" and "M" in the conversations stand for "woman" and "man".
PROBLEM: M: So, how was your vacation? You went to Paris, didn't you? W: Yeah, with my pa... | (C) the airport
| 8 | NIv2 | task247_dream_answer_generation | fs_opt | [
0.6286381483078003,
0.28943416476249695,
-0.9660995602607727,
-0.2821474075317383,
1.157387614250183,
-0.8705742955207825,
1.049046516418457,
0.8406445980072021,
-0.12587353587150574,
-0.05773284286260605,
-0.2361743301153183,
0.5251431465148926,
0.2525987923145294,
0.19691187143325806,
... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to classify the genre of the sentences from the 10 options displayed. Indicate your answer by entering the number of the choice as 1-10.
Input: Consider Input: Sentence 1: Above this gilded door can be seen images of Shiva and his c... | Output: 1
| 2 | NIv2 | task198_mnli_domain_classification | fs_opt | [
-0.24330875277519226,
0.27987727522850037,
-0.111369788646698,
0.022233836352825165,
-0.43697914481163025,
0.1268426477909088,
0.37655556201934814,
0.9675420522689819,
-0.014147586189210415,
0.12351516634225845,
-0.2725498080253601,
0.48443877696990967,
-0.766737699508667,
-0.4894841611385... |
Q: You will be given a statement and two events in Croatian. The events are either something that can be caused by the statement, or they are something that might have caused the statement. If they can be consequences of the statement, answer with "effect", else answer with "cause".
Statement: Muškarac je ugledao svoj ... | cause | 7 | NIv2 | task1627_copa_hr_classification | zs_opt | [
0.72792649269104,
0.6347094178199768,
-0.857338011264801,
-0.4927103817462921,
-0.2810274660587311,
-0.7797062397003174,
0.33144044876098633,
0.19971606135368347,
0.2387438863515854,
-0.2455950379371643,
-0.18763689696788788,
0.34984612464904785,
-1.1575535535812378,
0.005274922586977482,
... |
Q: A text is given in Hindi. Translate it from the Hindi language to the Malayalam language. The translation must not omit or add information to the original sentence.
76 ലക്ഷം പേര് ; ഈ സാമ്പത്തിക വര്ഷം പുതുതായി 27 ലക്ഷം വരിക്കാര്
A: | चालू वित्त वर्ष अर्थात 2018-19 के दौरान 27 लाख से भी अधिक नये सदस्य इस योजना से जुड़ गए हैं। | 7 | NIv2 | task1018_pib_translation_malayalam_hindi | zs_opt | [
0.05592765659093857,
0.5048847198486328,
0.6036175489425659,
-0.8124645948410034,
0.004935725126415491,
-1.6489251852035522,
0.0725911557674408,
-0.1751088947057724,
0.10637588053941727,
-0.14852619171142578,
-0.1254161298274994,
-0.6697707176208496,
-0.44994741678237915,
-0.28436934947967... |
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 anythi... | C | 9 | NIv2 | task309_race_answer_generation | fs_opt | [
0.041249699890613556,
-0.07343149185180664,
-0.43515536189079285,
-0.38931262493133545,
0.31822893023490906,
-0.2558411657810211,
1.2446403503417969,
0.7954652905464172,
-0.03724443167448044,
-0.20337530970573425,
-0.05938717722892761,
0.3499785363674164,
-0.0178881473839283,
0.13193900883... |
In this task, you need to reverse the order of words in the given sentence.
[Q]: Sentence: a bed with a red blanket a white pillow and a book
[A]: book a and pillow white a blanket red a with bed a
[Q]: Sentence: two men standing next to a truck on dirt
[A]: dirt on truck a to next standing men two
[Q]: Sentence: ... | oven an in put being tomatoes and sausages with grill a
| 5 | NIv2 | task376_reverse_order_of_words | fs_opt | [
-0.03534889966249466,
1.0781162977218628,
-0.5637943744659424,
-0.903937578201294,
-0.8802541494369507,
-0.3349965214729309,
0.36896294355392456,
0.3847537934780121,
0.47458958625793457,
-0.35886111855506897,
-0.01471305638551712,
0.2769133746623993,
-0.3974241018295288,
-0.202819705009460... |
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 ... | What position did Park Ji-Sung play for the Kyoto Purple Sanga? | 2 | NIv2 | task236_iirc_question_from_passage_answer_generation | zs_opt | [
0.22005774080753326,
0.26103276014328003,
-0.9029762744903564,
-0.10922844707965851,
-0.2535621225833893,
0.3507658839225769,
0.43254077434539795,
-0.48931458592414856,
0.1757703721523285,
0.015963254496455193,
-0.04273095726966858,
0.7841641902923584,
-0.5357896089553833,
0.27792617678642... |
Q: In this task, you're given a context, a question, and three options. Your task is to find the correct answer to the question using the given context and options. Also, you may need to use commonsense reasoning about social situations to answer the questions. Classify your answers into 'A', 'B', and 'C'.
Context: qui... | B | 7 | NIv2 | task580_socialiqa_answer_generation | zs_opt | [
0.07322072982788086,
0.1353805810213089,
-0.03792661428451538,
-0.2735523581504822,
0.03244757279753685,
-0.4721721410751343,
0.7287725806236267,
0.732780933380127,
-0.03408128768205643,
0.34838223457336426,
-0.0044106184504926205,
-0.14383023977279663,
-0.5921597480773926,
-0.558181524276... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the numerical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no numerical element is in the list.
Input: Consider I... | Output: 1, 5, 7, 10, 11, 13, 14, 15, 16, 17, 19, 20, 22, 23, 24, 25, 27
| 2 | NIv2 | task507_position_of_all_numerical_elements_in_list | fs_opt | [
-0.027645263820886612,
0.16067320108413696,
-0.44796106219291687,
-0.7162660360336304,
-0.2835387587547302,
-0.7198687791824341,
1.1628398895263672,
0.5265373587608337,
-0.7251619696617126,
0.2631119191646576,
-0.7123414278030396,
0.14199624955654144,
-0.19292840361595154,
-0.0389556363224... |
Detailed Instructions: In this task, you're given a passage, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
Q: Passage: Initially at... | Answer: none | 9 | NIv2 | task238_iirc_answer_from_passage_answer_generation | zs_opt | [
0.5642457008361816,
-0.6639862656593323,
-0.40048515796661377,
-0.14842763543128967,
0.6676048636436462,
-0.4739484190940857,
0.5945620536804199,
0.8088548183441162,
-0.3239428997039795,
0.20727235078811646,
0.2946818172931671,
-0.03070359118282795,
-0.3359389901161194,
0.4260736107826233,... |
You will be given a definition of a task first, then some input of the task.
In this task you will be given two lists of numbers and you need to calculate the intersection between these two lists. The intersection between two lists is another list where every element is common between the two original lists. If there a... | [1, 3, 6, 7, 8, 10] | 1 | NIv2 | task098_conala_list_intersection | zs_opt | [
0.3321838676929474,
0.19727157056331635,
-0.35538893938064575,
-0.25637388229370117,
0.3688126504421234,
0.2675909996032715,
0.8845416307449341,
0.19733482599258423,
-0.03898808732628822,
0.3137153387069702,
-0.5804353952407837,
-0.419224351644516,
-0.12283201515674591,
-0.1718386709690094... |
Definition: In this task, you're given a statement, the genre to which that statement belongs, and a label indicating if the statement should be agreed with (entailment), disagreed with (contradiction), or neither (neutral). Your job is to write a sentence that describes the genre that follows the tone with respect to ... | The air conditioner in the lab was broken | 2 | NIv2 | task203_mnli_sentence_generation | zs_opt | [
-1.2500032186508179,
0.3258531987667084,
0.25004488229751587,
-0.3036750555038452,
0.17857109010219574,
-0.20983527600765228,
-0.16613033413887024,
-0.09216650575399399,
0.5070105791091919,
-0.48312968015670776,
-0.16362574696540833,
-0.3342146873474121,
-0.7256100177764893,
0.502518296241... |
Given a sentence in the Japanese and Lao language. Your task is check if the Lao sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Example: Japanese: 詳細は昨日UTC17時30分、英国議会でイギリスのルス・ケリー運輸大臣によって伝えられた。
Lao: ຂໍ້ມູນໄດ້ຖືກສະໜອງໂດຍ ເລຂາທິການຂົນສົ່ງ ສະຫະ... | Solution: Yes | 5 | NIv2 | task1126_alt_ja_lo_answer_generation | fs_opt | [
-1.1437256336212158,
-0.12645244598388672,
-0.2938419580459595,
0.17730644345283508,
-0.1180015504360199,
-0.30839604139328003,
0.4465886056423187,
0.24326209723949432,
-0.44216322898864746,
-0.6662241220474243,
-0.07641094923019409,
1.0766291618347168,
0.034299157559871674,
1.095649361610... |
Q: In this task, you are given a text of article and corresponding title of an article. Your task is to generate label "yes" if headline (title) is right for article, otherwise generate "no".
Article: chinese share prices fell #.## percent by midday wednesday , led lower by banks amid unabated concerns over the impact ... | no | 7 | NIv2 | task289_gigaword_summarization | zs_opt | [
-1.160657525062561,
-0.03359849750995636,
0.31082722544670105,
0.4720282554626465,
-0.15565043687820435,
0.11259358376264572,
-0.2640473246574402,
0.47779783606529236,
-0.35586586594581604,
0.22972916066646576,
-0.4120767116546631,
0.07933464646339417,
-0.15337833762168884,
-0.034377709031... |
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.
[97, 69, 11... | [5]
| 0 | NIv2 | task205_remove_even_elements | fs_opt | [
-0.5840015411376953,
0.33819183707237244,
-0.07853375375270844,
-0.7272741794586182,
0.40985938906669617,
0.11382301151752472,
0.8719478845596313,
0.35612159967422485,
-0.47801005840301514,
0.4859042763710022,
-0.8246622085571289,
0.007004174869507551,
-0.2022286355495453,
-0.1579174250364... |
In this task, you are given a short passage that conveys a stereotype or an anti-stereotype. A stereotype is an over-generalized belief about a particular group of people(based on race, ethnicity, gender, age, abilities, etc.). An anti-stereotype is an idea that goes against a common stereotype. You are expected to cla... | Stereotype
| 6 | NIv2 | task316_crows-pairs_classification_stereotype | fs_opt | [
0.05365227907896042,
0.050947047770023346,
-0.45148763060569763,
0.3821268081665039,
0.009426025673747063,
0.12427899986505508,
0.5441986322402954,
1.4099750518798828,
0.9789836406707764,
-0.2351309359073639,
-0.8227202892303467,
0.12509053945541382,
-0.6942654848098755,
-0.136207193136215... |
Detailed Instructions: In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify given passage into two categories: (1) "yes" if the given context is useful in answering the question, and (2) "no" if the given context is not useful.
Q: Context: QUESTION... | yes | 9 | NIv2 | task242_tweetqa_classification | zs_opt | [
-0.9691686630249023,
0.20706704258918762,
0.9296454191207886,
0.7893645763397217,
-0.1895730197429657,
0.11793052405118942,
0.5938515067100525,
0.41002386808395386,
0.462947279214859,
0.8479087352752686,
-0.3501991033554077,
0.03769402205944061,
-0.2792806625366211,
0.041678670793771744,
... |
Teacher:Given a context passage, generate a question from the passage such that its answer is shortest continous span from the passage.
Teacher: Now, understand the problem? Solve this instance: Imatinib mesylate is a new drug that can inhibit the tyrosine kinase activity of Bcr-Abl, the receptors for platelet-derived ... | What tyrosine kinase, involved in a Philadelphia- chromosome positive chronic myelogenous leukemia, is the target of Imatinib (Gleevec)? | 6 | NIv2 | task470_mrqa_question_generation | zs_opt | [
0.663123369216919,
-0.05528615415096283,
-0.15719985961914062,
-0.3418915867805481,
0.2912672460079193,
-1.1144404411315918,
-0.22922663390636444,
1.1170408725738525,
0.44119927287101746,
-0.08312523365020752,
-0.42098966240882874,
-0.09703473001718521,
-0.9771203994750977,
-0.122422143816... |
Instructions: 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.
Input: school : bicy... | rocket | 3 | NIv2 | task1154_bard_analogical_reasoning_travel | zs_opt | [
0.32565194368362427,
0.7074573040008545,
-0.8674205541610718,
0.020100710913538933,
-0.6498430967330933,
0.33243855834007263,
0.8530151844024658,
0.5578323602676392,
0.03770487383008003,
-0.7123169898986816,
-0.23500819504261017,
0.08437483757734299,
0.8112360239028931,
0.00836271047592163... |
Instructions: Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Input: An excellent scholarly book. Great detail and very in depth analysis. Inevitable conclusion is the impossibility of molding an economic system out of a moral philosophy, not just Islam. T... | Positive | 3 | NIv2 | task493_review_polarity_classification | zs_opt | [
-0.04337705671787262,
-0.1391822099685669,
0.09868017584085464,
-0.5565348863601685,
0.07690142095088959,
0.3976611793041229,
1.092057228088379,
-0.09797896444797516,
0.42507606744766235,
0.30542242527008057,
-0.6340404152870178,
0.2707679271697998,
-0.7787106037139893,
-0.2930740416049957... |
In this task you will be given a string of characters. You should remove all vowels from the given string. Vowels are: i,e,a,u,o. The character 'y' or 'Y' does not count as a vowel.
Let me give you an example: hNarAik
The answer to this example can be: hNrk
Here is why: The three vowels in the input 'a, 'A', and 'i' a... | zzCvMLKlGL | 8 | NIv2 | task365_synthetic_remove_vowels | fs_opt | [
0.4761149287223816,
0.9796566367149353,
-0.21567630767822266,
-0.7580747604370117,
0.3009238839149475,
-0.628995418548584,
0.5691013932228088,
-0.20091944932937622,
-0.04685072973370552,
-0.5220023393630981,
-0.5061053037643433,
-0.21865910291671753,
-0.22972366213798523,
-0.93630367517471... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal ru... | holding that repair and maintenance costs for common roads and other common areas were the responsibility of the residential users and not the homeowners association that held title to the roads | 0 | NIv2 | task287_casehold_legal_incorrect_answer_generation | fs_opt | [
0.7852250337600708,
0.21634986996650696,
-0.40745991468429565,
0.13596294820308685,
0.4588327407836914,
-0.9603667259216309,
0.40201371908187866,
1.1023778915405273,
-0.3555406928062439,
0.16224437952041626,
-0.422099769115448,
0.6188864707946777,
-0.21784749627113342,
-0.00052040850277990... |
Given the task definition and input, reply with output. You are given a statement written in Hindi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Statement: श्री शर्मा का चयन की घोषणा राष्ट्रमंडल महासचिव म... | माल्टा | 5 | NIv2 | task947_wiki_cloze_hi_multiple_choice_question_answering | zs_opt | [
-0.1102779358625412,
0.4381164312362671,
-0.23454605042934418,
0.09830915927886963,
-0.04241354018449783,
-0.42837291955947876,
0.04057355970144272,
-0.22983838617801666,
0.2312711775302887,
0.422673761844635,
-0.11870244145393372,
0.4089254140853882,
-0.382012277841568,
0.1706856638193130... |
Given the task definition and input, reply with output. In this task, you're given the beginning and the middle of a three-part story. Your job is to complete the short story by writing a probable ending. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using ... | Alex took his clothes to his Mom���s house for her to clean. | 5 | NIv2 | task071_abductivenli_answer_generation | zs_opt | [
-0.4534974694252014,
0.8446760177612305,
-0.039395228028297424,
-0.20924699306488037,
-0.7138649225234985,
0.12409382313489914,
0.24633415043354034,
0.4095248281955719,
-0.18441718816757202,
-0.1420726478099823,
-0.747611403465271,
0.15235833823680878,
-0.15357142686843872,
0.0440518185496... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English.
אתם מבינים, אנו שומעים רבות אודות שקיפות בימינו. | You see, we hear a lot about transparency these days. | 0 | NIv2 | task1234_ted_translation_he_en | zs_opt | [
-0.6582662463188171,
0.4805801510810852,
0.884695291519165,
-0.06920450180768967,
-0.3099612891674042,
-0.17699065804481506,
0.1615494191646576,
0.09901582449674606,
1.2599992752075195,
-0.32469460368156433,
-0.20932891964912415,
-0.20849134027957916,
-0.38567954301834106,
-0.1697628498077... |
Q: 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. Among the entities, try to find the best entity that is most likely to fill in "_" and classify the answers based on options.
(CNN) When Donald Trump has a problem, Ke... | (A) | 7 | NIv2 | task302_record_classification | zs_opt | [
-0.2528119385242462,
0.5819575786590576,
-0.7171007394790649,
0.05854802206158638,
0.3252009153366089,
-0.3987714648246765,
-0.5717207789421082,
0.5796366930007935,
0.6705121994018555,
0.11995171010494232,
-0.05510663241147995,
0.08881182968616486,
-0.3482668101787567,
0.08912473917007446,... |
Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.
Le... | Offensive | 8 | NIv2 | task904_hate_speech_offensive_classification | fs_opt | [
-0.5385087728500366,
0.3190978169441223,
0.5051751732826233,
0.14665663242340088,
-0.19496187567710876,
-0.7827410697937012,
-0.21437911689281464,
0.7611321806907654,
0.5516637563705444,
0.4050126075744629,
-0.1055205911397934,
-0.30576106905937195,
-0.8783144354820251,
-1.0252082347869873... |
Detailed Instructions: In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, with at most 4 new words added/exi... | The dog saw another owner and took off running. | 9 | NIv2 | task068_abductivenli_incorrect_answer_generation | zs_opt | [
-0.2895393967628479,
0.6529889106750488,
-0.20278917253017426,
0.19927582144737244,
-0.3814404606819153,
0.20914745330810547,
-0.36463630199432373,
0.5341420769691467,
-0.2777598798274994,
-0.7319279313087463,
-0.2921155095100403,
0.3324599266052246,
-0.41714149713516235,
0.202691003680229... |
You are given a list of queries separated by new line. Your job is to answer with the query that is the most well-formed or well-structured query in terms of grammar, punctuations, or spelling errors.
Sarah Palin 's job ?
Wich is the nickname of Michigan ?
Alcohol is absorbed in the ?
What natural resource affects nor... | What natural resource affects north africa 's economy ? | 0 | NIv2 | task675_google_wellformed_query_sentence_generation | zs_opt | [
-0.8293713331222534,
0.5363917350769043,
-0.21877269446849823,
0.14138579368591309,
-0.3558650612831116,
0.21682128310203552,
0.2904418408870697,
-0.16492000222206116,
0.3756055533885956,
0.013140575960278511,
-0.2188638597726822,
-0.1979416012763977,
-0.5092540383338928,
0.291987180709838... |
You will be given a definition of a task first, then some input of the task.
In this task, you need to Translate Czech text to English.
Barevná skla bez obsahu sloucenin olova a barya s indexem lomu vyšším než 1,52 a mernou hmotností nejméne 2,52 g.cm.sup.-3.n., vhodné zejména pro rucní výrobu vysoce kvalitního stolní... | In the present invention, there is disclosed a colored glass free of lead and barium compounds with refraction index greater than 1.52 and with specific weight of at least 2.52 g.cme-3, suitable particularly for handmade table and domestic glass of superior quality, produced in gas and electric melting units. The color... | 1 | NIv2 | task842_para_pdt_cs_en_translation | zs_opt | [
0.06727035343647003,
0.15527915954589844,
-0.21436257660388947,
0.10401518642902374,
0.696307897567749,
0.360737144947052,
0.8454183340072632,
0.5910317897796631,
-0.2908056974411011,
0.023191679269075394,
0.4130878746509552,
0.7523273229598999,
-0.37806183099746704,
0.7082558870315552,
... |
You will be given a definition of a task first, then some input of the task.
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 ... | SELECT T2.Fname , T2.Lname FROM Faculty_Participates_in AS T1 JOIN Faculty AS T2 ON T1.FacID = T2.FacID GROUP BY T1.FacID HAVING Count ( * ) > = 1 | 1 | NIv2 | task077_splash_explanation_to_sql | zs_opt | [
0.6564319729804993,
0.40586262941360474,
-1.03397798538208,
0.6925007104873657,
-0.4363972246646881,
-0.07937858998775482,
0.782508134841919,
0.5960864424705505,
-0.33649972081184387,
0.5331947207450867,
0.3068183660507202,
0.17315617203712463,
-0.08287603408098221,
0.7122970819473267,
0... |
Detailed Instructions: You are given a statement written in Marathi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Q: Statement: मुण्डेंनी चार दशकांपूर्वी <MASK>च्या कॉलेजमध्ये विद्यार्थी संसदेच्या निवडणुका... | बीड | 9 | NIv2 | task950_wiki_cloze_mr_multiple_choice_question_answering | zs_opt | [
0.34057891368865967,
1.292707920074463,
-0.1328546404838562,
-0.5265005826950073,
-0.5961705446243286,
-0.5598575472831726,
0.5488841533660889,
0.0314878411591053,
0.4808698892593384,
-0.39878180623054504,
-0.41430142521858215,
-0.07211782038211823,
-0.12572261691093445,
-0.473914414644241... |
Teacher: 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.
Teacher: Now, understand the problem? If you are still confused, see the following example:
['238', 'h', '92', 'U', '2799']
Solution: 238, 92, 2799
Reason:... | 1447, 8495, 1177, 6031, 9493, 5413, 1539, 3361, 3443 | 2 | NIv2 | task497_extract_all_numbers_from_list_in_order | fs_opt | [
-0.2977665066719055,
-0.020519349724054337,
-0.3260858654975891,
-0.9009735584259033,
0.20237070322036743,
-0.6558009386062622,
0.12257757782936096,
0.057141948491334915,
-0.910180926322937,
0.33702993392944336,
-0.2965658903121948,
-0.6892942190170288,
0.07079890370368958,
-0.250470310449... |
Teacher:In this task you will be given a text passage from a trivia quiz. You should choose the category this question belongs to from these categories: History, Science, Social Science, Fine Arts, Literature. You can only choose one category, so if in doubt, please choose the closest match.
Teacher: Now, understand th... | Fine Arts | 6 | NIv2 | task521_trivia_question_classification | zs_opt | [
0.4885096549987793,
0.6644510626792908,
0.2014472335577011,
-0.07882391661405563,
0.2038104087114334,
-0.8747832775115967,
-0.45329761505126953,
0.5990005135536194,
0.24314941465854645,
0.12178996950387955,
-0.2613556981086731,
0.3651253283023834,
-0.49130016565322876,
-0.607693076133728,
... |
Detailed 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 g... | None | 8 | NIv2 | task294_storycommonsense_motiv_text_generation | zs_opt | [
-0.43049320578575134,
0.4635312557220459,
0.045852623879909515,
-0.6680086851119995,
0.02281315252184868,
-0.43094202876091003,
0.8312861323356628,
0.8606371283531189,
0.4968460500240326,
-0.16715580224990845,
-0.25063514709472656,
-0.43269777297973633,
-0.9185417294502258,
0.0429303571581... |
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