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 given a tweet. You must judge whether the author of the tweet is angry or not. Label the instances as "Angry" or "Not angry" based on your judgment.
--------
Question: @Chawndi @YouTube can i ask im trying to pout a code on csgo roll i cant when i pout the code its red color.. help pls
Answer: Ang... | Not angry
| 7 | NIv2 | task397_semeval_2018_task1_tweet_anger_detection | fs_opt | [
-1.235737681388855,
-0.011545672081410885,
0.18786928057670593,
-0.3600276708602905,
-0.4719546437263489,
-0.5299838781356812,
0.343128502368927,
-0.0017592867370694876,
0.5606633424758911,
0.03672666847705841,
0.37916380167007446,
-0.007016993127763271,
-0.5274181365966797,
-0.47922885417... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish.
אני יודע שהזכרתם שלוח מקשים הוא באמת חלק מרכזי של זה. | Sé que mencionaste que el teclado es una parte esencial en esto. | 0 | NIv2 | task1236_ted_translation_he_es | zs_opt | [
-0.35110875964164734,
0.393599271774292,
-0.4489208161830902,
0.516983687877655,
-0.3971298635005951,
-0.3017321228981018,
0.7659093141555786,
0.5024389028549194,
1.0077378749847412,
-0.6460540294647217,
-0.2776939272880554,
0.24700574576854706,
-0.33995184302330017,
0.7351449728012085,
... |
TASK DEFINITION: You are provided with an "Event", "Intent" related to PersonX. Guess a reaction/reaction of PersonX about the given event and their intention.
PROBLEM: Event:PersonX pulls open the ___. Intent: 1) to watch something interesting
SOLUTION: happy
PROBLEM: Event:PersonX acts quickly. Intent: 1) to do som... | sorry
| 8 | NIv2 | task922_event2mind_word_generation | fs_opt | [
0.5755176544189453,
0.30316025018692017,
-0.1702641248703003,
-0.538259744644165,
-0.6638819575309753,
-0.24594034254550934,
1.1545218229293823,
0.32721859216690063,
-0.051599644124507904,
-0.4714432954788208,
0.09214675426483154,
-0.41370487213134766,
-0.9547051191329956,
0.13485237956047... |
You will be given a definition of a task first, then some input of the task.
Given a passage with a context and an answer, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answe... | Is mitochondrial inhibition of uracil-DNA glycosylase mutagenic? | 1 | NIv2 | task845_pubmedqa_question_generation | zs_opt | [
-0.10826650261878967,
0.0045088063925504684,
0.050891801714897156,
-0.40196001529693604,
0.04922827333211899,
-0.5045028924942017,
0.3208068013191223,
0.47326093912124634,
0.20319639146327972,
-0.08943118155002594,
-0.6269792914390564,
-0.3196476101875305,
-0.45928525924682617,
0.394251346... |
Rewrite each original sentence in order to make it easier to understand by non-native speakers of English. You can do so by replacing complex words with simpler synonyms (i.e. paraphrasing), deleting unimportant information (i.e. compression), and/or splitting a long complex sentence into several simpler ones. The fina... | Hilari Bell was born in 1958. She is an American fantasy author.
| 3 | NIv2 | task111_asset_sentence_simplification | fs_opt | [
-0.2916949391365051,
0.13861054182052612,
0.5699601173400879,
-0.14932450652122498,
0.12379969656467438,
-0.17546091973781586,
0.03225557133555412,
0.012983044609427452,
0.39016473293304443,
0.0703694075345993,
-0.7002153396606445,
0.4935550093650818,
-0.2776029706001282,
-0.09877315163612... |
Given the task definition and input, reply with output. 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... | No | 5 | NIv2 | task310_race_classification | zs_opt | [
0.6116089820861816,
0.4727952480316162,
0.021637804806232452,
-0.11218565702438354,
0.20038717985153198,
-0.48770320415496826,
0.48360395431518555,
0.7729527950286865,
-0.2447299361228943,
0.46733295917510986,
-0.23080824315547943,
0.520442008972168,
0.11693615466356277,
-0.516187727451324... |
In this task, you're given a paragraph and title from the research paper. Your task is to classify whether the given title is suitable or not for the research paper based on the given paragraph. Return "True" if title is proper according to paragraph else "False".
[EX Q]: Paragraph: Background: The detrimental role of... | True
| 6 | NIv2 | task1162_coda19_title_classification | fs_opt | [
0.14281465113162994,
0.3475818634033203,
-0.3938716948032379,
-0.06347385048866272,
0.159074604511261,
0.4424963593482971,
1.0432870388031006,
0.9264053106307983,
-0.6038028001785278,
0.42120206356048584,
-0.14362433552742004,
0.32117047905921936,
0.05564522743225098,
0.13604605197906494,
... |
Instructions: In this task, you're given a question, a context passage, and four options which are terms from the passage. After reading a passage, you will get a brief understanding of the terms. Your job is to determine by searching and reading further information of which term you can answer the question. Indicate y... | a | 3 | NIv2 | task231_iirc_link_classification | zs_opt | [
0.39775264263153076,
0.47195738554000854,
-0.25203412771224976,
0.46934765577316284,
-0.2288670390844345,
0.10643002390861511,
-0.014508421532809734,
0.8726794719696045,
-0.5590507984161377,
0.4700796604156494,
0.17060187458992004,
0.36076390743255615,
-0.12615199387073517,
-0.105438709259... |
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 .
Input: Statement: १) उनकेश्वराचा शिलालेख इ.स. १२८९ ला. आणि त्याहीपेक्षा मागे जातांना <MASK>चा शिलाले... | श्रवणबेळगोळ | 3 | NIv2 | task950_wiki_cloze_mr_multiple_choice_question_answering | zs_opt | [
-0.1381894052028656,
1.2788848876953125,
0.024034373462200165,
0.14877599477767944,
-0.3086174726486206,
-0.8318084478378296,
0.3722020387649536,
0.37594208121299744,
0.4653526544570923,
-0.46479618549346924,
-0.06023009121417999,
0.2456640899181366,
-0.07611998915672302,
-0.32482320070266... |
In this task, you're given two sentences. Indicate if the first sentence clearly entails the second sentence (i.e., one can conclude the 2nd sentence by reading the 1st one). Indicate your answer with '1' if the first sentence entails the second sentence, otherwise answer with '0'.
Example input: Sentence 1: No Weapon... | 0 | 3 | NIv2 | task1344_glue_entailment_classification | fs_opt | [
-0.31055086851119995,
0.29201453924179077,
-0.1743529587984085,
-0.5618165731430054,
0.011337402276694775,
-0.3180243968963623,
0.3161562979221344,
0.8666725158691406,
0.5374013781547546,
-0.10838925093412399,
-0.5374637842178345,
-0.008060900494456291,
-0.42734116315841675,
0.054122604429... |
Instructions: In this task, you are given music product reviews in English 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.
Input: A Beautiful Job . The last great American operetta of the 1920s, this... | POS | 3 | NIv2 | task478_cls_english_music_classification | zs_opt | [
-0.5638613104820251,
0.940420389175415,
-0.21973802149295807,
0.026790274307131767,
0.3584289252758026,
0.27028214931488037,
0.3867940902709961,
0.289524644613266,
0.5005941390991211,
0.7038034200668335,
-0.16624116897583008,
0.07657475024461746,
1.0238690376281738,
-0.9882670640945435,
... |
Given the task definition and input, reply with output. In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
inflammation is what kind of risk associated with shift work?, Context: Shift-work or chronic jet-lag have profound consequences on circadian... | metabolic | 5 | NIv2 | task1295_adversarial_qa_question_answering | zs_opt | [
0.15869075059890747,
0.22335679829120636,
-0.737920880317688,
0.26252132654190063,
-0.369642436504364,
0.25241774320602417,
-0.23177672922611237,
0.686739981174469,
-0.06430533528327942,
-0.7306833863258362,
-0.3824380338191986,
-0.47364604473114014,
-1.1399697065353394,
0.1444656848907470... |
Detailed Instructions: In this task you are given a list of numbers and you need to find the average of each two consecutive values. The average of two numbers a and b is calculated as: (a + b) /2. The output should be a list of the averages of each two consecutive values. A list is presented with two brackets and comm... | [-7.5, -42.0, -74.0, -64.0, -4.5, 36.5, -23.5, -25.0, -34.0, -68.5, 2.0, 21.0, -48.5, -14.0] | 8 | NIv2 | task124_conala_pair_averages | zs_opt | [
-0.5384567975997925,
0.03453539311885834,
-0.6684713959693909,
-0.34864747524261475,
0.04890167713165283,
0.051256489008665085,
0.7259038686752319,
0.534069299697876,
0.1041414812207222,
-0.31584757566452026,
-0.5302221775054932,
-0.3197983205318451,
-0.20755062997341156,
0.326430529356002... |
TASK DEFINITION: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish.
PROBLEM: קחו למשל מדינות כמו איווה ואוהיו — שתי מדינות מאד חשובות מבחינה פוליטית, אגב — קחו את שני המושלים האלה, והם יאמרו, "" אנו ננהיג את האומה בייצור טורבינות רוח ואנרגיית רוח. ""
SOLUTION: Consideren a e... | ¿Así son las cosas?
| 8 | NIv2 | task1236_ted_translation_he_es | fs_opt | [
-0.3298351764678955,
0.5973578691482544,
0.24760913848876953,
-0.48941943049430847,
-0.2937106788158417,
-0.19214597344398499,
0.4099422097206116,
1.2341119050979614,
-0.3131999671459198,
0.5572084784507751,
-0.556613028049469,
-0.27535292506217957,
-0.2672121524810791,
-0.196109801530838,... |
Teacher: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
Teacher: Now, understand the problem? If you are still confused, see the following example:
私たちはただひたすら歌い続けましたすると驚くことに信頼が芽生え友情が花開いたのです
Solution: ما آواز خوندیم ، و خوندیم ، آواز خونديم ، و بطور شگفت انگیزی اعتماد جد... | من فكر مى كنم كه او مطمئنا تا آن زمان ديگر مى دانست كه اين كار براى من حياتى است همانطور كه براى او هم ضرورى بود. | 2 | NIv2 | task1098_ted_translation_ja_fa | fs_opt | [
0.9232726693153381,
0.971458911895752,
0.08792691677808762,
-0.23127558827400208,
-0.011923173442482948,
-0.4700453281402588,
0.8632031679153442,
0.39658230543136597,
0.13072526454925537,
-0.12573467195034027,
-0.6249885559082031,
-0.16876304149627686,
-1.3099730014801025,
-0.3168992400169... |
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 building blocks for a command.... | I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_TURN_LEFT | 4 | NIv2 | task126_scan_structured_text_generation_command_action_all | zs_opt | [
0.08884381502866745,
0.8250499963760376,
-0.31065118312835693,
0.039932116866111755,
0.051295943558216095,
0.00020245695486664772,
0.1661653369665146,
-0.21959784626960754,
-0.16654165089130402,
-0.30228275060653687,
-0.6511924266815186,
0.2141188681125641,
-0.45175737142562866,
-0.2274114... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
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.
प्रधानमंत्री ने विभिन्न सामाजिक स... | ഇത്തരം 55 കേന്ദ്രങ്ങള് നിര്മ്മാണത്തിന്റെ വിവിധ ഘട്ടങ്ങളിലാണ്. | 0 | NIv2 | task1017_pib_translation_hindi_malayalam | fs_opt | [
-0.09187879413366318,
0.19920572638511658,
-0.08896484971046448,
-0.8050333261489868,
-0.13741835951805115,
0.4850030541419983,
0.9234006404876709,
0.4868019223213196,
-0.2613840699195862,
0.04779381304979324,
-0.36366117000579834,
0.048319585621356964,
-0.26901450753211975,
0.095646977424... |
instruction:
In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger words (e.g., "... | Sentence 1: PersonX stopped smoking for the sake of PersonY, because _ wanted them to stop worrying.
Sentence 2: PersonX stopped smoking for the sake of PersonY, because _ wanted them to stop coughing.
| 9 | NIv2 | task030_winogrande_full_person | fs_opt | [
0.35990411043167114,
0.2598363757133484,
0.007916569709777832,
-0.2653728723526001,
0.3628884553909302,
-0.5487229824066162,
0.8519315719604492,
1.0060040950775146,
0.11035393178462982,
-0.5465409755706787,
-0.5281729102134705,
0.008296390995383263,
-0.7080036997795105,
0.21085219085216522... |
Given a negotiation between two participants, answer 'Yes' if both participants agree to the deal, otherwise answer 'No'.
[EX Q]: THEM: all balls to me, the rest to you YOU: sure.
[EX A]: Yes
[EX Q]: THEM: i would like the cowboy hats and books, please. YOU: i have to have book. you can have the rest. THEM: sounds... | Yes
| 6 | NIv2 | task1384_deal_or_no_dialog_classification | fs_opt | [
0.3098480701446533,
0.4865979552268982,
-0.34810659289360046,
0.5745642185211182,
-0.09550420194864273,
-0.5660115480422974,
0.7091678977012634,
-0.3034588694572449,
0.16498591005802155,
-0.8477973341941833,
-0.06431248784065247,
0.40269702672958374,
-0.5529420375823975,
0.0603262335062027... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given a short story of five sentences written in natural language. However, the order of the given story is not correct. Your job is to return the correct order for the given five sentences to create a coherent short story... | 31452 | 1 | NIv2 | task300_storycloze_order_generation | fs_opt | [
0.060578491538763046,
0.256354421377182,
-0.32122886180877686,
0.5385229587554932,
0.058923304080963135,
-0.48432549834251404,
-0.3664111793041229,
1.1170296669006348,
-0.19514910876750946,
0.40326082706451416,
-0.7696594595909119,
-0.26500028371810913,
-0.5715320110321045,
-0.295314729213... |
In this task, you're given a short story of five sentences written in natural language. However, the order of the given story is not correct. Your job is to return the correct order for the given five sentences to create a coherent short story with the new order that has the correct flow. Generate your answer using the... | 14325 | 4 | NIv2 | task300_storycloze_order_generation | zs_opt | [
-0.11971627920866013,
0.4360095262527466,
0.010158691555261612,
-0.29545947909355164,
-0.4025770127773285,
-0.21369841694831848,
-0.003126304829493165,
0.8378599882125854,
-0.587860643863678,
0.27100783586502075,
-0.4951692223548889,
-0.6265007257461548,
-0.4875185489654541,
-0.16903024911... |
Definition: In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.
Input: Context: Esophageal eosinophilia can be proton pump inhibitor (PPI) resistant or responsive, representing 2 entities known as eos... | These findings provide definitive evidence that PPI-REE is a disease entity with significant molecular overlap with EoE, suggesting that many patients with PPI-REE represent a continuum of the same pathogenic allergic mechanisms that underlie EoE and thus might constitute a subphenotype of patients with EoE. The abilit... | 2 | NIv2 | task849_pubmedqa_answer_generation | zs_opt | [
0.6185096502304077,
0.25597015023231506,
-0.020459331572055817,
0.0015374720096588135,
0.40399250388145447,
-1.2658436298370361,
0.5309332609176636,
0.6947213411331177,
0.7007400393486023,
0.8698306679725647,
-0.8215836882591248,
0.7021318674087524,
-0.3770831823348999,
0.05559262260794639... |
Detailed Instructions: 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".
Q: English: "One of the things that we've seen over the last severa... | No | 9 | NIv2 | task434_alt_en_hi_answer_generation | zs_opt | [
-0.32542112469673157,
0.12747779488563538,
0.7354151010513306,
0.32886019349098206,
0.4199753701686859,
-0.9431631565093994,
-0.03374820947647095,
0.29276394844055176,
-0.6923136115074158,
0.36019110679626465,
-0.22436882555484772,
0.2867904603481293,
-0.37349194288253784,
-0.1894184798002... |
Given a question and a context passage, generate the answer having the word or phrase from the context passage. Here, the answer should be a shortest continous span from the passage.
Context: New Orleans, Louisiana, 1927. An enraged posse of men descend on the isolated Seven Doors Hotel deep in the swamps. They grab a... | jill. | 0 | NIv2 | task469_mrqa_answer_generation | zs_opt | [
0.6059157848358154,
0.738653838634491,
-0.47876062989234924,
-0.36163902282714844,
0.8061493635177612,
-0.23470991849899292,
0.5875665545463562,
0.9092122316360474,
-0.2048744261264801,
0.03634946048259735,
0.3489418923854828,
0.24849657714366913,
-0.6608189344406128,
0.17954692244529724,
... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
Così i batteri sono capaci di contare quanti 'me' e quanti 'altri' ci sono.
As bacterias son capaces de contar cantos "" eu "" e cantos "" ti "" hai.
Dissi: "" Nick, ciò è molto interessante.
Eu dixen: "" Nick, está moi ... | O que ven é o esbozo que un artista fixo delas, construídas nunha montaña en Svalbard.
| 0 | NIv2 | task1252_ted_translation_it_gl | fs_opt | [
0.020371761173009872,
0.7876108884811401,
-0.5494007468223572,
0.39664900302886963,
-0.16206181049346924,
-1.1813722848892212,
-0.1474957913160324,
0.6682592630386353,
-0.47019827365875244,
0.5593625903129578,
-0.35317572951316833,
0.34672585129737854,
-0.7922011613845825,
0.32541638612747... |
Detailed Instructions: Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a classification of each word from the labels ... | ['NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_... | 9 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | zs_opt | [
0.33778220415115356,
0.17929479479789734,
-0.21603408455848694,
-0.3827905058860779,
0.3549483120441437,
-0.5018093585968018,
0.4679984748363495,
0.9106647372245789,
-0.4410185217857361,
0.05200674384832382,
-0.2904472053050995,
-0.08412392437458038,
-0.5814745426177979,
-0.084396183490753... |
Given the task definition and input, reply with output. 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... | [37, 103] | 5 | NIv2 | task205_remove_even_elements | zs_opt | [
-0.5306630730628967,
0.8462421894073486,
-0.02521020546555519,
-0.7578405141830444,
0.16296689212322235,
-0.5350971221923828,
0.844447910785675,
0.11098478734493256,
-0.4676477313041687,
0.3763491213321686,
-0.7751843929290771,
0.348691463470459,
-0.28945183753967285,
-0.2930876612663269,
... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Italian.
Q: این دائره المعارف تنها یکی از بی نهایت اصطلاحات عاشقانه عربی است ، که بیشتر آن توسط علمای دینی نوشته شده.
A: | L'Enciclopedia è solo uno dei tanti testi della letteratura erotica araba, la maggior parte scritta da studenti religiosi. | 4 | NIv2 | task1271_ted_translation_fa_it | zs_opt | [
-1.3131589889526367,
0.6291464567184448,
0.11803356558084488,
0.020114704966545105,
-0.8800273537635803,
-0.09821449965238571,
0.3679506480693817,
-0.3981919288635254,
0.35629433393478394,
-0.8771492838859558,
-0.8884084224700928,
0.2775508463382721,
-0.020705554634332657,
0.18981838226318... |
instruction:
In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger words (e.g., "... | Sentence 1: PersonX always ate bacon and eggs for breakfast unlike PersonY because _ always woke up early.
Sentence 2: PersonX always ate bacon and eggs for breakfast unlike PersonY because _ always woke up late.
| 9 | NIv2 | task030_winogrande_full_person | fs_opt | [
0.5131053328514099,
0.4515729546546936,
-0.18878376483917236,
0.004065215587615967,
0.15721021592617035,
-0.8324678540229797,
0.7518548965454102,
0.8715999126434326,
-0.06309884041547775,
-0.45979154109954834,
-0.36384057998657227,
-0.0991167351603508,
-0.7503219246864319,
-0.0317007899284... |
In this task, you are given a sentence in the Gujarati language and a corresponding English translation of the Gujarati sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
--------
Question: Gujarati: ડેસ્ક પરના ત્રણ કમ્પ્યુટર સ્ક્રીનો સમુદ્રના વિશાળ દૃશ્ય દર્શ... | Yes
| 7 | NIv2 | task440_eng_guj_parallel_corpus_gu-en_classification | fs_opt | [
-1.228078007698059,
-0.17605656385421753,
-0.20087653398513794,
-0.26883578300476074,
0.11713053286075592,
-0.6389432549476624,
0.23415473103523254,
0.35091614723205566,
0.0536770299077034,
-0.2704339623451233,
0.4911274015903473,
0.4159470796585083,
-0.25780919194221497,
0.393462836742401... |
Instructions: In this task you are given a statement and an explanation giving you further knowledge about an entity in the statement. You must judge whether the statement is true or false based on the explanation. Label an instance as "True" if the explanation confirms the statement or doesn't disprove it. Label an in... | True | 3 | NIv2 | task403_creak_commonsense_inference | zs_opt | [
-0.7410648465156555,
0.08799002319574356,
0.0610228031873703,
-0.012478683143854141,
-1.0277618169784546,
-0.2518700361251831,
0.6176584362983704,
0.5068767070770264,
0.20286765694618225,
-0.6664921045303345,
-0.2307872176170349,
-0.5025920867919922,
-0.04983094707131386,
-0.14784911274909... |
Q: In this task, you are given a multiple-choice question about healthcare. Answer the question based on your information and classify your answers into '1', '2', '3', and '4'.
Question: Phosphofructokinase-1:
Options: <1> Participates in glycolysis and gluconeogenesis. <2> It catalyzes an easily reversible reaction... | 3 | 7 | NIv2 | task1431_head_qa_answer_generation | zs_opt | [
-0.004936796613037586,
0.13637372851371765,
0.15038233995437622,
-0.2875806987285614,
0.0897211953997612,
-0.4351140558719635,
0.8357434272766113,
0.804168701171875,
0.21548955142498016,
0.3381647765636444,
-0.9490086436271667,
-0.40081605315208435,
-0.10334926098585129,
-0.409633427858352... |
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 statemen... | Many people think the bombings were caused by the government. | 6 | NIv2 | task203_mnli_sentence_generation | fs_opt | [
-0.4383666217327118,
0.04253304749727249,
0.2698081135749817,
0.15228992700576782,
0.3886963725090027,
-0.9394789934158325,
-0.6056604385375977,
0.5585660934448242,
0.26948729157447815,
-0.2945014536380768,
0.04761815071105957,
-0.4520483911037445,
-0.20852753520011902,
-0.0966822504997253... |
A text is given in English. Translate it from the English language to the Urdu language. The translation must not omit or add information to the original sentence.
Q: نئی دہلی،27مارچ۔ وزیراعظم جناب نریندر مودی کی صدارت میں مرکزی کابینہ نے سیاحت کےشعبے میں ہندوستان اور کروشیا کے درمیان مفاہمت نامے کو سابقہ تاریخ سےاپنی... | We have already achieved the target of 20 gigawatts ofinstalled solar power capacity. In India, more capacity is being added through renewable sources than through the traditional sources of energy.
****
| 4 | NIv2 | task1058_pib_translation_urdu_english | fs_opt | [
0.2765042185783386,
0.30775952339172363,
-0.28263530135154724,
-0.5869324207305908,
-0.27006858587265015,
-0.5125309228897095,
-0.05791613459587097,
0.5757973790168762,
-0.12460879981517792,
0.22801223397254944,
0.5055563449859619,
0.06627088040113449,
0.04741282761096954,
0.30799800157546... |
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.
Ex Input:
आज डॉक्टर के पास medical epertise तो होती ही है,साथ ही उनके पास general lie style trends के बारे में, उसका हमारे स्वास्थ्य पर क्या प्रभाव पड़ता ... | നൂതനരീതികളെ പ്രോത്സാഹിപ്പിക്കുന്നതിനായി ഇന്ത്യ അന്താരാഷ്ട്ര പങ്കാളിത്തം വളര്ത്തിയെടുക്കുന്നതായും പ്രധാനമന്ത്രി പറഞ്ഞു.
| 1 | NIv2 | task1017_pib_translation_hindi_malayalam | fs_opt | [
-0.9342818260192871,
-0.6218887567520142,
-0.007829684764146805,
-0.3021750748157501,
-0.023402240127325058,
-0.2850932478904724,
-0.12819135189056396,
0.9966650009155273,
0.2942587733268738,
-0.14348538219928741,
-1.0818568468093872,
0.6549218893051147,
0.007156043313443661,
-0.4041770994... |
Generate an appropriate title for the given text. The generated title must be short and include the main topic of the text. The preferred titles are under fifteen words.
Martyn Day, co-founder of Leigh Day law firm, allegedly knew there were concerns that Khuder Al-Sweady was a member of the Shia militia Mahdi Army. T... | Iraq abuse case lawyer 'needed to keep claimant sweet' | 0 | NIv2 | task1356_xlsum_title_generation | zs_opt | [
-0.12434139102697372,
0.614978015422821,
-0.43307822942733765,
-0.5059977173805237,
0.3215797543525696,
-0.037403177469968796,
0.9593420624732971,
0.6075948476791382,
0.4161931276321411,
0.509466290473938,
0.015438728965818882,
0.976698637008667,
-1.2002463340759277,
0.21230269968509674,
... |
Instructions: Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.
Input: alton towers
Output: | In which county is Alton Towers? | 3 | NIv2 | task897_freebase_qa_topic_question_generation | zs_opt | [
0.15706618130207062,
1.1776387691497803,
-0.7922083735466003,
0.6370673179626465,
-0.13930204510688782,
-0.28473782539367676,
0.3214687705039978,
0.37472665309906006,
0.2844012379646301,
-0.4158695340156555,
-0.40618982911109924,
-0.4362618029117584,
-1.1201461553573608,
-0.000900971237570... |
Definition: The input is a tweet which can be classified as Hate Speech, Offensive or Normal. Given such a tweet, output the class the tweet belongs to. Hate Speech will contain threatening language towards the community targeted. Offensive language will contain abusive or discriminatory language towards the community ... | Normal | 2 | NIv2 | task1502_hatexplain_classification | zs_opt | [
-0.21075858175754547,
0.7809747457504272,
-0.11919854581356049,
0.7148862481117249,
-0.06506513804197311,
-0.9990947246551514,
-0.17587679624557495,
0.6173118352890015,
0.8890510201454163,
0.2689933776855469,
-0.08806954324245453,
0.046960972249507904,
-0.2345503270626068,
-0.7728883624076... |
Generate an overlapping word between the given two sentences. When you find the overlapping words, they don't have to match exactly, e.g., "survival" and "survive" are valid overlapping words. Little words like "the" or "of" don't count! You must generate significant words which are not the stop words.
Example input: ... | heat | 3 | NIv2 | task039_qasc_find_overlapping_words | fs_opt | [
-0.4289894998073578,
1.0024356842041016,
0.011803261935710907,
-0.44142425060272217,
-0.2312975376844406,
-1.1357061862945557,
0.3700278699398041,
0.6110883951187134,
-0.14481373131275177,
-0.37960952520370483,
-0.872699499130249,
-0.3775809109210968,
-0.8657602667808533,
0.067047305405139... |
Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
[Q]: Mo... | You can change an apple to bait a pond .
| 5 | NIv2 | task413_mickey_en_sentence_perturbation_generation | fs_opt | [
0.20141269266605377,
1.1394344568252563,
0.1360275000333786,
-0.005066947545856237,
0.01838976889848709,
-0.5589809417724609,
0.13341018557548523,
0.2729869782924652,
0.10424342751502991,
-0.26810428500175476,
-0.0036347047425806522,
0.013367746025323868,
-0.5804265737533569,
-0.1013828366... |
In this task you will be given a list, of lists, of numbers. Each list is presented with brackets and comma-separated values. For example, a list of numbers is [1,2,3] and a list of two lists of numbers is [[1,2],[3,4,6]]. You should sum up the values at every position of every inner list and put it as an element of yo... | [-68, -76, 54, 107, 5, -22, 8, 20, 20] | 0 | NIv2 | task122_conala_list_index_addition | zs_opt | [
0.19439765810966492,
-0.36615315079689026,
-0.713066577911377,
-0.23401020467281342,
0.06986074894666672,
-0.23461130261421204,
0.9343619346618652,
0.6178332567214966,
-0.45703136920928955,
-0.2928760051727295,
-0.8985421657562256,
0.07807785272598267,
-0.2058679610490799,
-0.2367265522480... |
Q: In this task your given a passage and a question in Catalan, you must answer the question based on the passage. The answer to the question can be extracted directly from the passage. The question will have a single correct answer. The answer will be a continuous span of text from the given passage. The correct answe... | la reincorporació del Regne de Mallorca a la Corona d'Aragó | 7 | NIv2 | task837_viquiquad_answer_generation | zs_opt | [
0.7192749977111816,
0.3287350535392761,
-0.5681736469268799,
0.1299821436405182,
0.5371404886245728,
-0.2875056862831116,
0.8217071294784546,
0.8171430230140686,
-0.09496466815471649,
0.19013449549674988,
-0.29624801874160767,
0.9669199585914612,
-0.9716857671737671,
0.14196349680423737,
... |
In this task, you are given a sentence from the research paper and the category to which it belongs. Your task is to classify whether the given category is correct or not by providing "True" and "False", respectively. Here are the definitions for the categories: Background (Why is this problem important? What relevant ... | False
| 6 | NIv2 | task1164_coda19_section_correction_classification | fs_opt | [
0.2913283407688141,
0.3209804892539978,
-0.10684237629175186,
0.02201511710882187,
0.4123618006706238,
0.09452798962593079,
0.2866106629371643,
1.1754884719848633,
-0.15701255202293396,
0.13467417657375336,
-0.8422033786773682,
0.49359771609306335,
-0.25887882709503174,
-0.3030374050140381... |
In this task, answer 'Yes' if the frequency of the given word in the two sentences is equal, else answer 'No'.
Let me give you an example: Sentence1: 'a red bus goes down the street beside a yellow building', Sentence2: 'the colorfully decorated living room has a retro style chair in it'. Is the frequency of the word ... | No | 8 | NIv2 | task159_check_frequency_of_words_in_sentence_pair | fs_opt | [
-0.8404472470283508,
0.43250858783721924,
-0.24960026144981384,
-0.08701955527067184,
0.07096438109874725,
-0.37155547738075256,
0.6226670742034912,
0.8955174684524536,
0.21196767687797546,
-0.14847366511821747,
-0.4452548921108246,
-0.3897349536418915,
0.5584614276885986,
0.50461959838867... |
Teacher: In this task, you will be shown a Persian passage and a question, and you have to determine whether the question is answerable based on the passage or not. If the question is answerable, choose the "True" label, and if not select "False"
Teacher: Now, understand the problem? If you are still confused, see the ... | True | 2 | NIv2 | task396_persianqa_classification | fs_opt | [
0.4374549686908722,
-0.005398174747824669,
-0.4421018362045288,
-0.14581452310085297,
-0.014099739491939545,
-0.6355169415473938,
0.49164849519729614,
1.1210469007492065,
-0.35580024123191833,
0.08567152917385101,
-0.42232510447502136,
0.038999468088150024,
-0.3170182704925537,
0.274899065... |
In this task, you're given two sentences. Indicate if the first sentence clearly entails the second sentence (i.e., one can conclude the 2nd sentence by reading the 1st one). Indicate your answer with '1' if the first sentence entails the second sentence, otherwise answer with '0'.
Let me give you an example: Sentence... | 0 | 8 | NIv2 | task1344_glue_entailment_classification | fs_opt | [
-0.07197493314743042,
0.8729630708694458,
-0.16457325220108032,
-0.8711678385734558,
-0.2867969870567322,
-0.361220121383667,
0.9440948367118835,
1.0357143878936768,
0.41232818365097046,
0.20331862568855286,
-0.5421916246414185,
0.15799656510353088,
-1.1784124374389648,
0.21814236044883728... |
The input is a sentence. The sentence includes an emotion. The goal of the task is to classify the emotion in the sentence to one of the classes: 'fear', 'joy', 'anger', 'sadness'. The emotion mainly depends on the adverb within the sentence.
[Q]: Latoya feels angry.
[A]: anger
[Q]: The conversation with this woman ... | fear
| 5 | NIv2 | task1338_peixian_equity_evaluation_corpus_sentiment_classifier | fs_opt | [
-0.4216683506965637,
0.358024001121521,
0.3804413676261902,
-0.9942020177841187,
-0.33099985122680664,
0.0824965089559555,
1.279686450958252,
0.16980373859405518,
0.2920950651168823,
-0.21477054059505463,
-0.6491976976394653,
-0.49476850032806396,
-0.6893266439437866,
0.03322875499725342,
... |
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 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 ... | [16.5, -298, -16.5] | 0 | NIv2 | task368_synthetic_even_or_odd_calculation | fs_opt | [
-0.15494294464588165,
0.7490309476852417,
-0.16354265809059143,
-0.23655641078948975,
0.17542673647403717,
0.029234502464532852,
1.1084940433502197,
0.36747539043426514,
0.15679657459259033,
0.16619452834129333,
-0.41395097970962524,
-0.5768812894821167,
-0.4003927707672119,
0.061110056936... |
Given a passage classify if the passage has a definite objective/aim/goal or not. Output '1' if the passage has a defininte objective/aim/goal and output '0' if the passage does not have a definite objective/aim/goal.
Ischemic stroke is the leading cause of death and disability worldwide. To date, recombinant tissue p... | 0 | 0 | NIv2 | task848_pubmedqa_classification | zs_opt | [
0.11936572939157486,
0.3237411081790924,
-0.2163977026939392,
0.26291710138320923,
0.4900292754173279,
-0.7851697206497192,
1.0611581802368164,
0.5728515982627869,
0.540744423866272,
0.8184283971786499,
-0.5123080015182495,
0.23185262084007263,
-0.75766521692276,
0.3440626263618469,
0.39... |
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 given a sentence in the Indonesian language(Bahasa variant). Your job is to convert it into the English language.
Baru-baru ini beberapa kota busana telah diamanatkan sebag... | Going into the elections, Obama was already forecast to win in California, with RealClearPolitics predicting he would win by 14 points. | 0 | NIv2 | task543_alt_translation_bh_en | fs_opt | [
-0.487975537776947,
0.9679850935935974,
0.09297812730073929,
-0.14864811301231384,
0.20530685782432556,
-0.34844106435775757,
0.7153578996658325,
0.3625960946083069,
0.2417006492614746,
-0.07001778483390808,
-0.5949532985687256,
0.3489219546318054,
-0.38504958152770996,
-0.0900162011384964... |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
[Q]: I loved the feel of the hose unfortunately the cotton lace top has no give and therefore is very uncomfortable and cuts into your thigh.
[A]: Negative
[Q]: I didn't think much of this album when I fir... | Positive
| 5 | NIv2 | task493_review_polarity_classification | fs_opt | [
0.3092966675758362,
-0.21520283818244934,
-0.5663533806800842,
-0.1453622281551361,
0.6910916566848755,
-1.0427541732788086,
0.0978885143995285,
0.32658007740974426,
0.19726119935512543,
0.46793514490127563,
0.07718472182750702,
-0.030444374307990074,
0.17380237579345703,
-0.50501650571823... |
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 ... | No | 2 | NIv2 | task1204_atomic_classification_hinderedby | fs_opt | [
0.6309763789176941,
-0.1120152696967125,
0.487989604473114,
0.08905093371868134,
-0.22360169887542725,
-1.1425795555114746,
0.4544990062713623,
0.6065484881401062,
-0.7360447645187378,
-0.036788105964660645,
-0.4061828851699829,
-0.5709153413772583,
-0.5634242296218872,
-0.1982594281435012... |
Teacher: In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to return one of the emotions which are expressed by the Character in the given sente... | excited | 2 | NIv2 | task293_storycommonsense_emotion_text_generation | fs_opt | [
-0.02581777051091194,
-0.08300769329071045,
-0.20410612225532532,
-0.1386425644159317,
0.46387624740600586,
-0.1445581614971161,
0.9579195380210876,
1.0315598249435425,
-0.40198951959609985,
-0.26326772570610046,
-0.014733606018126011,
0.4815313220024109,
-0.2133597731590271,
0.36916100978... |
Teacher:Given a sentence in the Japanese and Indonesian(Bahasa variant) language. Your task is check if the Bahasa Indonesia sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Teacher: Now, understand the problem? Solve this instance: Japanese: ア... | No | 6 | NIv2 | task1117_alt_ja_id_answer_generation | zs_opt | [
-0.5062375664710999,
0.4261516034603119,
-0.011131237260997295,
-0.11607800424098969,
-0.6542388200759888,
-0.882216215133667,
0.7803642153739929,
-0.38814759254455566,
-0.059423889964818954,
-0.4915410876274109,
0.07889481633901596,
0.4227333068847656,
-0.5318784713745117,
0.0110537856817... |
Instructions: In this task, you need to write a topic word from the given fact. The topic word must have at least one word overlap with the given fact. The topic word often involves adding a new word from a related concept. In your topic word, use at least one word from the given fact. Topic words with two or more word... | animal animalia members. | 3 | NIv2 | task036_qasc_topic_word_to_generate_related_fact | zs_opt | [
0.029126686975359917,
0.6957823038101196,
-0.548253059387207,
-0.03545589745044708,
-0.7183671593666077,
-0.5904943346977234,
-0.08009122312068939,
0.5527557730674744,
-0.49237963557243347,
-1.117301106452942,
-0.6858158707618713,
0.49521785974502563,
-1.1178576946258545,
0.015794107690453... |
You will be given a definition of a task first, then some input of the task.
Provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part... | PRT | 1 | NIv2 | task1167_penn_treebank_coarse_pos_tagging | zs_opt | [
0.23180276155471802,
0.09999401122331619,
-0.21604618430137634,
0.1677234172821045,
-0.06779216974973679,
-0.5317143797874451,
0.6101974248886108,
0.6132535934448242,
-0.05287659913301468,
-0.07384394109249115,
-0.7542531490325928,
0.162962406873703,
-0.4197537302970886,
0.2835833430290222... |
In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
Ex Input:
Tomorrow will be a better day.
Ex Output:
Did you have a good workday?
Ex Input:
I switched jobs last month.
Ex Output:
Anything new going on?
Ex Input:
I've tried their barbecue and it's very goo... | Have you tried the barbecue place here?
| 1 | NIv2 | task568_circa_question_generation | fs_opt | [
-0.4250384271144867,
0.5898417234420776,
-0.27167409658432007,
0.3957598805427551,
-0.2706144452095032,
-1.2274023294448853,
0.3467634320259094,
0.6006546020507812,
0.221792072057724,
-0.18986450135707855,
-0.08101630955934525,
-0.33581411838531494,
-0.012860029935836792,
0.131858527660369... |
The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Norwegian Language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and form of each sentence in the Norwegian language... | Til min skrekk fløy det rett mot den store myren, men min nye bekjent lot seg ikke et øyeblikk stanse. Han sprang fra tue til tue med sitt grønne nett flagrende i luften, og hans grå drakt og rykkvise, siksakformige sprang gjorde ham ikke så ulik et kjempeinsekt selv. | 9 | NIv2 | task1649_opus_books_en-no_translation | fs_opt | [
-0.8396440744400024,
0.27119284868240356,
0.1621422916650772,
-0.22241511940956116,
-0.4483286738395691,
-0.9622583389282227,
1.0293147563934326,
-0.29238206148147583,
-0.21965882182121277,
-0.3734377920627594,
0.09014903008937836,
0.47996366024017334,
-1.1587035655975342,
0.00156883674208... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence and a question in the input. If the information provided in the sentence is enough to answer the question, label "Yes", otherwise label "No". Do not use any facts other than ... | Yes. | 0 | NIv2 | task050_multirc_answerability | fs_opt | [
-0.7167215347290039,
0.21457259356975555,
0.2018904834985733,
0.73719322681427,
-0.26585298776626587,
-0.9917423725128174,
0.6685017347335815,
0.8469794988632202,
0.19991831481456757,
0.13940802216529846,
-0.20435599982738495,
-0.04565626382827759,
0.021552756428718567,
-0.0330583862960338... |
Teacher: The input is a tweet which can be Hate Speech or Offensive. Given such a tweet, output a phrase from the tweet that makes it hate speech or offensive. The output should contain only one such phrase. The output has to be from within the tweet itself. Do not generate words or phrases not present in the tweet.
Te... | white bitch | 2 | NIv2 | task1504_hatexplain_answer_generation | fs_opt | [
-0.9198392033576965,
0.9927563071250916,
0.7368804216384888,
-0.1642085462808609,
-0.44681140780448914,
-1.0766905546188354,
-0.09828908741474152,
0.9318161010742188,
0.5537632703781128,
0.3373298645019531,
-0.4351683259010315,
0.6107794046401978,
-0.48646098375320435,
-1.1343333721160889,... |
In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story coherent / plausible by writing "1" or "2" in the output. If both sentences are plausible, pick the one that makes most sense.
Beginning: Max hated board... | 2 | 0 | NIv2 | task069_abductivenli_classification | zs_opt | [
-0.17917798459529877,
0.2713789939880371,
-0.5719892382621765,
-0.018775833770632744,
-0.5903874039649963,
-0.12687116861343384,
0.30912432074546814,
0.2839706242084503,
0.1791841983795166,
-0.7516188621520996,
-0.43034958839416504,
-0.050563521683216095,
-0.13348110020160675,
-0.528775751... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Portugese.
--------
Question: قد يبدو هذا طموحاً مفرطاً إلى حد ما ، لكنك حين تنظر إلى نفسك ، وحين تتأمل يديك مثلاً ، تدرك أنك حى.
Answer: Agora, isto pode parecer um pouco ambíguo, mas quando olham para vocês, quando olham para as vo... | Tenho os nós dos dedos brancos, de me agarrar à porta, estão a ver?
| 7 | NIv2 | task1109_ted_translation_ar_pt | fs_opt | [
-0.22950375080108643,
0.5632555484771729,
-0.07166822999715805,
-0.7320911884307861,
-0.09110526740550995,
0.45601898431777954,
0.8135083913803101,
0.057178348302841187,
0.2659139633178711,
0.11143043637275696,
-0.9850995540618896,
0.2540673613548279,
-0.8812817931175232,
0.378185123205184... |
Definition: Given a sentence in French, generate a new French sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probabili... | Vous trouverez probablement un cheveu dans mon labo. | 2 | NIv2 | task406_mickey_fr_sentence_perturbation_generation | zs_opt | [
-0.24594806134700775,
0.5611683130264282,
0.2735323905944824,
-0.3655555844306946,
0.2558649182319641,
-0.45636841654777527,
0.4552290141582489,
0.03071480244398117,
0.5261697173118591,
-0.6978471875190735,
-1.6321653127670288,
-0.10068283975124359,
-0.6132420301437378,
0.3311390280723572,... |
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.
Q: My pug almost died from this product. A piece did not digest and got stuck in his intestinal tract. He had to have emergency surgery and 3000.00 later is now O... | Negative | 4 | NIv2 | task586_amazonfood_polarity_classification | zs_opt | [
-0.24263685941696167,
-0.048154234886169434,
0.47660136222839355,
-0.19029083847999573,
-0.26940327882766724,
0.34306973218917847,
0.5657575726509094,
-0.010818002745509148,
0.06390462070703506,
-0.014072839170694351,
0.06668651103973389,
0.5429420471191406,
-0.44254928827285767,
-0.095416... |
Teacher:You are given a sentence and a question in the input. If the information provided in the sentence is enough to answer the question, label "Yes", otherwise label "No". Do not use any facts other than those provided in the sentence while labeling "Yes" or "No". There are only two types of valid responses: Yes and... | Yes. | 6 | NIv2 | task050_multirc_answerability | zs_opt | [
-0.6892317533493042,
0.2680819034576416,
0.37992575764656067,
-0.012043021619319916,
-0.16407379508018494,
-1.4566099643707275,
0.31198158860206604,
0.41443824768066406,
-0.1454692780971527,
-0.4377048909664154,
-0.19897672533988953,
0.18299433588981628,
-0.5776633024215698,
-0.28869175910... |
Teacher: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 que... | background | 6 | NIv2 | task1163_coda19_section_classification | zs_opt | [
-0.730434238910675,
0.4445345997810364,
-0.274187833070755,
-0.17529910802841187,
0.2856709957122803,
-0.020216327160596848,
0.47920361161231995,
0.8614410161972046,
0.29965001344680786,
0.32830512523651123,
-0.6890888214111328,
-0.051047541201114655,
-0.6951768398284912,
-0.52410000562667... |
You will be given a definition of a task first, then some input of the task.
This task is to identify the language of a sentence correctly by classifying if it is English or Telugu
God's son, oh how laughing
Output: | English | 1 | NIv2 | task1618_cc_alligned_classify_tel_eng | zs_opt | [
-0.6075046062469482,
0.6506487131118774,
0.6411906480789185,
-0.1720002144575119,
-0.11228878796100616,
-0.4586332440376282,
0.49536019563674927,
0.26479795575141907,
-0.016046129167079926,
-0.12204117327928543,
0.0036135322879999876,
-0.19871129095554352,
0.01831781677901745,
-0.144363373... |
Given the task definition and input, reply with output. In this task, you are given a news article. Your task is to classify the article to one out of the four topics 'World', 'Sports', 'Business', 'Sci/Tech' if the article's main topic is relevant to the world, sports, business, and science/technology, correspondingly... | Business | 5 | NIv2 | task379_agnews_topic_classification | zs_opt | [
-0.7807557582855225,
0.52837073802948,
-0.1232660636305809,
0.6155185699462891,
-0.15006566047668457,
-0.22015050053596497,
-0.06736157834529877,
0.13909372687339783,
0.17245540022850037,
0.04006899148225784,
-0.528955340385437,
0.31118273735046387,
0.23435622453689575,
-0.3571107983589172... |
instruction:
In this task, you are given a set of context paragraph and some supporting facts to answer a question. Your task is to generate answer for given question based on set of context paragraphs and supporting facts.
question:
Context_1 : The Indian Institute of Foreign Trade (IIFT) is an autonomous public busin... | Mary Is Coming
| 9 | NIv2 | task170_hotpotqa_answer_generation | fs_opt | [
0.21294696629047394,
-0.20904257893562317,
-0.16463489830493927,
-0.4491000175476074,
0.3612152934074402,
0.28366729617118835,
0.631181001663208,
0.9704629778862,
-0.33996203541755676,
0.5615733861923218,
-0.107070192694664,
0.21223202347755432,
-0.56486976146698,
0.6212869882583618,
0.0... |
Teacher:In this task, you are given a text of the article. Your task is to generate a headline (title) for this article.
Teacher: Now, understand the problem? Solve this instance: east timor and the united nations on thursday launched an appeal for ##.# million dollars to help resettle and reintegrate about ###,### peo... | east timor UNK for aid to help ###,### displaced by violence | 6 | NIv2 | task288_gigaword_summarization | zs_opt | [
0.4951009750366211,
0.2371722161769867,
-0.03732343763113022,
-0.034767307341098785,
-0.24009975790977478,
-0.6749126315116882,
0.6054340600967407,
0.285298228263855,
-0.7936965823173523,
0.24674108624458313,
0.1598009169101715,
0.47860997915267944,
-0.8093423247337341,
-0.1695079952478408... |
Detailed Instructions: In this task, you will be shown a passage. You need to write a fill-in-the-gap question based on your understanding of the events that might be inferred from the passage. Your question should be answerable based on the passage and only have one correct answer. Show the gap in your question with a... | She has watched _ play on the hottest days of the year so far but as temperatures have now cooled in South West London, she today wore skinny jeans with beige sandals. | 8 | NIv2 | task301_record_question_generation | zs_opt | [
-0.5178947448730469,
0.5728175640106201,
-0.318514347076416,
0.2720181941986084,
0.08306638151407242,
0.2690551280975342,
0.49647021293640137,
0.4257117807865143,
0.8869296312332153,
0.26589083671569824,
-0.3387449085712433,
0.7853457927703857,
-0.7214028239250183,
-0.20795175433158875,
... |
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 determ... | Yes
| 1 | NIv2 | task1214_atomic_classification_xwant | fs_opt | [
0.4278287887573242,
-0.13486088812351227,
0.12834051251411438,
0.029303736984729767,
-0.26014119386672974,
-0.6959313154220581,
0.9471489191055298,
0.8854409456253052,
-0.8646312952041626,
-0.22061790525913239,
-0.5678091049194336,
-0.43933039903640747,
-1.0142749547958374,
-0.105697646737... |
In this task you will break down a question into the basic steps required to answer it.
A question decomposition is a numbered list of operations that must be performed to answer the original question. Imagine explaining your question to a friendly droid by listing each action it should take in order for the question ... | #1 return Mario Lopez
#2 return what featured #1
#3 return #2 that was released in April of 1988
| 7 | NIv2 | task176_break_decompose_questions | fs_opt | [
0.9268826246261597,
0.012351525947451591,
-0.9096158742904663,
0.5418641567230225,
0.1769050657749176,
-0.0634077712893486,
1.2349259853363037,
0.27841469645500183,
-0.2719554901123047,
0.3227066695690155,
-0.6466419100761414,
0.2498190551996231,
-0.2514365017414093,
0.6676920056343079,
... |
Given the task definition and input, reply with output. 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). Person... | Yes | 5 | NIv2 | task1205_atomic_classification_isafter | zs_opt | [
0.05369425565004349,
0.5109043121337891,
0.36919111013412476,
0.06920633465051651,
-0.6491744518280029,
-0.511210560798645,
1.0135326385498047,
0.4102514982223511,
-0.3554708957672119,
-0.32356253266334534,
-0.38534024357795715,
-0.22543704509735107,
-0.6905384063720703,
0.2478373944759369... |
Part 1. Definition
In this task, you will be presented with a text, a pronoun from the text, and two candidate names. You should determine what the pronoun refers to and classify the answers into A, B, or Neither. A and B here are referring to option A and option B. Position of the pronoun in the text is showed within ... | A | 7 | NIv2 | task329_gap_classification | fs_opt | [
0.3753626346588135,
0.16875562071800232,
-0.4839828312397003,
0.23830801248550415,
-0.09964164346456528,
0.011055371724069118,
0.784364640712738,
0.9507173299789429,
0.2870204448699951,
-0.30054691433906555,
-0.8304188251495361,
0.04169273376464844,
-0.27050769329071045,
-0.066270321607589... |
Q: 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.
[105, 74,... | [105, 77] | 7 | NIv2 | task205_remove_even_elements | zs_opt | [
-0.615195631980896,
0.47947338223457336,
-0.1467379480600357,
-0.6211087703704834,
0.4375265836715698,
-0.39410898089408875,
0.7026563882827759,
0.3275202512741089,
-0.4010431170463562,
0.6027957797050476,
-0.5155115723609924,
0.08037738502025604,
-0.060000404715538025,
-0.2581921219825744... |
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 statemen... | I hope to speak with you again sometime. | 0 | NIv2 | task203_mnli_sentence_generation | zs_opt | [
-0.9571913480758667,
0.38951411843299866,
-0.039560019969940186,
0.09464582800865173,
0.1264224648475647,
-0.37336981296539307,
-0.3785051703453064,
0.43817269802093506,
0.1258625090122223,
-0.017340414226055145,
-0.17430436611175537,
0.027536820620298386,
-0.7649036645889282,
-0.201252639... |
You are given two sentences(Sentence1 and Sentence2). Answer "Yes" if these sentences are a paraphrase of one another, otherwise answer "No".
Ex Input:
Sentence1: The show 's closure affected third-quarter earnings per share by a penny ., Sentence2: The company said this impacted earnings by a penny a share .
Ex Outp... | No
| 1 | NIv2 | task1288_glue_mrpc_paraphrasing | fs_opt | [
0.05242111533880234,
0.016962040215730667,
-0.2690376937389374,
0.2536754608154297,
0.038452714681625366,
-0.09248726069927216,
0.14335781335830688,
1.4032297134399414,
-0.12381646037101746,
0.10677829384803772,
-0.2906087040901184,
0.6267683506011963,
-0.5205894708633423,
-0.1757688373327... |
Given the task definition and input, reply with output. The given sentence contains a typo which could be one of the following four types: (1) swapped letters of a word e.g. 'niec' is a typo of the word 'nice'. (2) missing letter in a word e.g. 'nic' is a typo of the word 'nice'. (3) extra letter in a word e.g. 'nicce'... | irl | 5 | NIv2 | task088_identify_typo_verification | zs_opt | [
-0.9661661386489868,
0.5572329759597778,
0.26111888885498047,
0.8716771602630615,
0.33771297335624695,
-0.9488910436630249,
0.8837532997131348,
0.484722763299942,
0.047938022762537,
-0.06468190252780914,
0.3164147138595581,
-0.21005219221115112,
-0.7890294194221497,
-0.5303444862365723,
... |
Given a scientific question, generate a correct answer to it.
Let me give you an example: Who proposed the theory of evolution by natural selection?
The answer to this example can be: darwin
Here is why: This is a direct fact that Charles Darwin proposed the theory of evolution.
OK. solve this:
What term is used to d... | ribosomes | 8 | NIv2 | task591_sciq_answer_generation | fs_opt | [
-0.04712873324751854,
0.355417937040329,
-0.5569634437561035,
0.1719478964805603,
-0.8798401355743408,
-0.2851957380771637,
-0.2710852026939392,
0.12423382699489594,
0.576963484287262,
-0.1284346878528595,
-0.5889413356781006,
0.29490774869918823,
-1.241614818572998,
0.21291616559028625,
... |
Given the task definition and input, reply with output. Given a negotiation between two participants, answer 'Yes' if both participants agree to the deal, otherwise answer 'No'.
THEM: i just want a hat.. i'm bald YOU: sure thing, i just want a basketball.
| No | 5 | NIv2 | task1384_deal_or_no_dialog_classification | zs_opt | [
0.2075578272342682,
1.0071114301681519,
0.13142117857933044,
0.4714624881744385,
-0.23639850318431854,
-0.43271440267562866,
0.5501118302345276,
-0.07498659193515778,
0.09158746898174286,
-0.03743597865104675,
-0.36410748958587646,
0.2230726033449173,
-0.5289750099182129,
-0.43367487192153... |
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... | Who has had the most babies in one pregnancy in 1998? | 6 | NIv2 | task670_ambigqa_question_generation | fs_opt | [
-0.277229368686676,
0.32676053047180176,
-0.22997282445430756,
-0.5703691244125366,
-0.338889479637146,
0.4351053833961487,
0.21219156682491302,
-0.35552307963371277,
-0.15668949484825134,
-0.5039618611335754,
-0.5468416213989258,
0.6258577108383179,
-1.291985034942627,
0.19855768978595734... |
In this task, you are given reviews written about the books in Bengali. You are expected to classify the sentiment of the reviews into two classes: positive or negative.
ফালতু লোকের ফালতু বই! | negative | 0 | NIv2 | task1497_bengali_book_reviews_sentiment_classification | zs_opt | [
-0.6787432432174683,
-0.06581602990627289,
0.4269426465034485,
-0.2804591655731201,
0.6315246224403381,
0.10798315703868866,
0.883959174156189,
-0.5233596563339233,
0.2954014837741852,
-0.2528001070022583,
-1.2072715759277344,
-0.38013535737991333,
-0.3147816061973572,
0.10496316850185394,... |
Given a passage with a context and an answer, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating... | Does cystamine improve functional recovery via axon remodeling and neuroprotection after stroke in mice?
| 7 | NIv2 | task845_pubmedqa_question_generation | fs_opt | [
0.39124786853790283,
-0.25696998834609985,
-0.7240970730781555,
0.49347537755966187,
0.864479660987854,
-0.35459744930267334,
1.0932807922363281,
0.984249472618103,
0.2768685221672058,
0.5088478922843933,
-0.9037325382232666,
-0.008610561490058899,
0.06684085726737976,
0.5166093111038208,
... |
You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to find the correct answer (and return the string of the correct option, not option1/2) for the given question from the given options and based on the given passage. Answer of the question can be found ... | Items to make peanut butter and jelly sandwich
| 3 | NIv2 | task164_mcscript_question_answering_text | fs_opt | [
0.7415011525154114,
0.596110999584198,
-1.0982780456542969,
0.5447608232498169,
0.07273036241531372,
-0.29234200716018677,
0.8871433734893799,
0.8049999475479126,
-0.09231200069189072,
-0.06654399633407593,
-0.8558200001716614,
-0.6679009199142456,
-0.28086593747138977,
0.03223421424627304... |
Detailed Instructions: In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Q: And what would due process be?
A: | और नियत प्रक्रिया क्या होगी? | 9 | NIv2 | task432_alt_en_hi_translation | zs_opt | [
-0.4435310363769531,
0.28460341691970825,
0.5968612432479858,
-0.44189924001693726,
-0.3576107621192932,
0.11701370030641556,
0.44417446851730347,
0.6898494958877563,
-0.27953046560287476,
-0.007457980886101723,
-0.24214792251586914,
-0.31315377354621887,
-0.5280565023422241,
0.36031657457... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the s... | 3a, 2b | 0 | NIv2 | task222_rocstories_two_chioce_slotting_classification | fs_opt | [
0.23443491756916046,
-0.1259315311908722,
-0.07915966957807541,
0.7617568969726562,
0.4099578857421875,
0.15020689368247986,
0.2232591211795807,
0.7814218997955322,
-0.3821460008621216,
0.5380904674530029,
-0.6451274156570435,
-0.009185738861560822,
0.22430092096328735,
-0.1876702010631561... |
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.
One example: For four years we have waited e... | (G) | 6 | NIv2 | task302_record_classification | fs_opt | [
0.21724477410316467,
0.45654481649398804,
-0.5077401995658875,
-0.07002309709787369,
-0.2877785861492157,
-0.2813165783882141,
0.3475712537765503,
0.9454705715179443,
-0.20502279698848724,
0.33632993698120117,
0.01612306572496891,
0.6509126424789429,
-0.5224887132644653,
0.5165696144104004... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Hebrew.
Let me give you an example: ويمكن اعادة تكرار هذه العملية على طول الشريط لكي نطبق شريط الحمض النووي فنشكل ما يشبه المستطيلات
The answer to this example can be: סך כל הפעולות של המהדקים על הגדיל הארוך מקפלות אותו לצורה דמויית ... | לקחתי אותם לים של יפן, שם הם פגשו מדוזות ענק. | 8 | NIv2 | task1233_ted_translation_ar_he | fs_opt | [
-0.869115948677063,
0.12274249643087387,
-0.05080404132604599,
-0.6263311505317688,
-0.1546376645565033,
0.04711645096540451,
0.9398522973060608,
-0.6018022298812866,
0.25046467781066895,
-0.8299976587295532,
-0.7258174419403076,
-0.28206485509872437,
-1.0008857250213623,
0.490485936403274... |
Instructions: In this task, you are given a sentence with a missing word that can be an object, a person, and/or an action. Fill in the blank with a plausible word. Although each sentence has many correct answers, you only have to write one answer.
Input: PersonX pays another ___
Output: | drink | 3 | NIv2 | task1217_atomic_answer_generation | zs_opt | [
-0.45630258321762085,
1.0957934856414795,
-0.3552991449832916,
-0.4945032596588135,
-0.12726543843746185,
0.32709503173828125,
1.169553279876709,
0.7494863271713257,
-0.22796975076198578,
-0.8166604042053223,
-0.09962891042232513,
-0.807675838470459,
-0.41015514731407166,
-0.20292720198631... |
In this task, you're given five sentences, numbered 1 through 5. Your job is to generate a title for the story that makes complete sense. The title must be short, with less than three words, use simple language, and include the main topic of the story.
Input: Consider Input: Sentence 1: The long weekend was almost ove... | Output: New Friends
| 2 | NIv2 | task219_rocstories_title_answer_generation | fs_opt | [
0.0989769771695137,
0.517521321773529,
-0.21970021724700928,
-0.19046372175216675,
-0.06980893760919571,
-0.9913997054100037,
0.4783719778060913,
1.003582239151001,
-0.24200594425201416,
0.02039671316742897,
-0.8514378666877747,
0.6428846120834351,
-0.3071958124637604,
-0.3664560317993164,... |
Detailed Instructions: Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: (1) when the individual's belief matches reality, (2) when the individual's belief does not match reality, (3) is when an individual has a false ... | blue_envelope | 8 | NIv2 | task151_tomqa_find_location_easy_clean | zs_opt | [
0.32855483889579773,
-0.16504573822021484,
0.08360528945922852,
-0.4210170805454254,
-0.8073081374168396,
-0.3366357088088989,
-0.23844364285469055,
0.5635548830032349,
-0.32382580637931824,
-0.1340412199497223,
-0.22379331290721893,
0.4544602036476135,
-0.43275323510169983,
0.255932837724... |
Teacher:In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to write a single word that describes the genre that the two sentences belong to, such as face-to-face, government, letters, 9/11, slate, telephone, travel, verbatim, oup, fiction.
Teacher: Now, understand the problem? Solve ... | telephone | 6 | NIv2 | task197_mnli_domain_answer_generation | zs_opt | [
-1.2335035800933838,
0.49148231744766235,
0.2718117833137512,
-0.47375816106796265,
-0.06712318956851959,
-0.3066379129886627,
-0.2619723677635193,
0.9705295562744141,
0.004943338222801685,
-0.309015691280365,
-0.37847256660461426,
-0.02478322759270668,
-0.43140849471092224,
-0.28020024299... |
Part 1. Definition
In this task, you are given a set of context paragraph and some supporting facts to answer a question. Your task is to generate answer for given question based on set of context paragraphs and supporting facts.
Part 2. Example
Context_1 : Charles Edward Ives ( ; October 20, 1874May 19, 1954) was an A... | Pupil | 7 | NIv2 | task170_hotpotqa_answer_generation | fs_opt | [
0.6777352690696716,
0.43724822998046875,
-0.8111191391944885,
1.024903416633606,
0.568061351776123,
-0.0593726709485054,
0.6467989683151245,
0.4682855010032654,
-0.05018108710646629,
0.4527702331542969,
-0.04350467398762703,
0.4218180775642395,
-0.9574187994003296,
0.025233982130885124,
... |
Detailed Instructions: Given a part of privacy policy text, identify the type of personal information which is collected, used, tracked or retained. The type of information should be present inside the given policy text, answer as 'Not Specified' otherwise
See one example below:
Problem: The site collects your cookies ... | Unspecified | 4 | NIv2 | task684_online_privacy_policy_text_information_type_generation | fs_opt | [
-0.49286243319511414,
-0.27420127391815186,
-0.5622934103012085,
0.14943161606788635,
-0.5831090211868286,
-0.8760643005371094,
0.3704231381416321,
0.3325415551662445,
-0.1455802321434021,
0.9718705415725708,
0.6995032429695129,
-0.2373110055923462,
0.006400214042514563,
-0.263461172580719... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given an input list A comprising of numbers and alphabets. You need to extract and sort the unique alphabets in the list. The alphabets in the input list will only be in lowercase. Return -1 if there is no alphabet in the... | c, f, h, k, n, o, q, r, u, w, z | 1 | NIv2 | task636_extract_and_sort_unique_alphabets_in_a_list | fs_opt | [
-0.060060642659664154,
0.06198002025485039,
-0.3958810567855835,
-0.38061994314193726,
0.5389132499694824,
0.2704126238822937,
0.07548530399799347,
0.7059744596481323,
0.1393343061208725,
-0.13115090131759644,
-0.3987622857093811,
-0.28919869661331177,
0.25385743379592896,
-0.1687503606081... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into English.
[EX Q]: علم أحياء الكم يجمع علماء فيزياء الكم والكيمياء الحيوية ، وعلماء البيولوجيا الجزيئية فهو مجال متعدد التخصصات للغاية.
[EX A]: Quantum biology brings together quantum physicists, biochemists, molecular biologists — it'... | I promised my boss that the work I didn't get done during the day, I'd make up at night from home.
| 6 | NIv2 | task1230_ted_translation_ar_en | fs_opt | [
-0.3844882845878601,
-0.08666162192821503,
0.1969289779663086,
-0.9798520803451538,
-0.5078496932983398,
0.08845485746860504,
0.374308317899704,
-0.288993775844574,
-0.03505264222621918,
0.074104905128479,
-0.45129621028900146,
0.5342317223548889,
-0.7183290719985962,
0.4763166904449463,
... |
In this task, you're given a review from Amazon's food products. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral or mixed, 4: good, 5: extremely good.
One example: I have bought several of the Vitality canned dog food prod... | 5 | 6 | NIv2 | task588_amazonfood_rating_classification | fs_opt | [
0.014054642990231514,
-0.5382294058799744,
0.2523181438446045,
0.14800092577934265,
0.23670080304145813,
-0.16867943108081818,
0.6640421152114868,
0.4315582811832428,
-0.5442739129066467,
-0.03648008406162262,
-0.15251314640045166,
-0.37680763006210327,
-0.9076458811759949,
0.1069368869066... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task you are given a small conversation between two persons and 4 options on how the conversation should continue. Your job is to choose the most reasonable option. The conversation and the o... | C | 0 | NIv2 | task611_mutual_multi_turn_dialogue | fs_opt | [
0.16270878911018372,
0.5508219003677368,
-0.528243362903595,
0.4128193259239197,
0.6297273635864258,
0.12520673871040344,
0.45385193824768066,
1.002693772315979,
-0.22133350372314453,
0.14558207988739014,
-0.36133694648742676,
0.46381574869155884,
-0.20926091074943542,
0.029966719448566437... |
A text is given in Bengali. Translate it from the Bengali language to the Oriya language. The translation must not omit or add information to the original sentence.
রাশিয়ার সহযোগিতায় ভারতে পারমাণবিক কেন্দ্র গড়ে তোলার উদ্যোগ এই ক্ষেত্রে আরেকটি সহযোগিতার উদাহরণ। | ଉଭୟ ପକ୍ଷ ମହାକାଶର ଶାନ୍ତିପୂର୍ଣ୍ଣ ଉପଯୋଗ ସଂକ୍ରାନ୍ତ ମିଳିତ ଜାତିସଂଘ କମିଟି (ୟୁଏନକୋପସ)ର ନିୟମାବଳୀ ଆଧାରରେ ସହଯୋଗକୁ ସୁଦୃଢ଼ କରିବା ଲାଗି ସହମତ ହୋଇଛନ୍ତି ଯେଉଁଥିରେ ମହାକାଶର ଦୀର୍ଘକାଳୀନ ପୋଷଣୀୟ କାର୍ଯ୍ୟକଳାପ ଓ ‘ସ୍ପେସ 2030’ କାର୍ଯ୍ୟସୂଚୀର ବିକାଶ ଓ କାର୍ଯ୍ୟାନ୍ୱୟନ ଯୋଜନା ସାମିଲ । | 0 | NIv2 | task997_pib_translation_bengali_oriya | zs_opt | [
-0.06990338861942291,
1.1660319566726685,
-0.13840891420841217,
0.432728111743927,
-0.700261116027832,
0.15543891489505768,
1.2241122722625732,
0.7817197442054749,
0.24323680996894836,
-0.3975471258163452,
-1.2161896228790283,
-0.7802179455757141,
0.07710377871990204,
0.42710381746292114,
... |
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