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 |
|---|---|---|---|---|---|---|
Detailed Instructions: In this task you will be given a list of integers. You should only return an integer if the first digit is the same as the last digit in the number. If an integer has a single digit, then it should be returned. If there are no integers that start and end with the same digit then an empty list ("[... | [] | 8 | NIv2 | task372_synthetic_palindrome_numbers | zs_opt | [
-0.6971700191497803,
0.3120802938938141,
-0.23758500814437866,
-0.27139872312545776,
-0.5207233428955078,
0.19406092166900635,
0.9877111911773682,
0.057240262627601624,
-0.6703761219978333,
0.1966470330953598,
-0.5297064781188965,
0.0681208074092865,
-0.21713833510875702,
-0.13516202569007... |
Definition: In this task, you are given concept set (with 3 to 5 concepts) that contain mentions of names of people, places, activities, or things. These concept sets reflect reasonable concept co-occurrences in everyday situations. All concepts given as input are separated by "#". Your job is to generate a sentence de... | cranes loading a container ship | 2 | NIv2 | task102_commongen_sentence_generation | zs_opt | [
-0.4358271658420563,
-0.11631470918655396,
-0.3318285048007965,
-0.19598419964313507,
-0.26080697774887085,
-0.6479997038841248,
0.21412953734397888,
0.7312768697738647,
0.09424544870853424,
0.06349155306816101,
-0.692680299282074,
0.09642549604177475,
-0.4122883081436157,
0.10210811346769... |
In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element in the reverse order. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
Q: 18, 20, ['35... | U
****
| 4 | NIv2 | task099_reverse_elements_between_index_i_and_j | fs_opt | [
0.33731764554977417,
-0.021110527217388153,
-0.6636548042297363,
-0.23440612852573395,
-0.2326895296573639,
-0.8496664762496948,
0.8860064148902893,
0.20762160420417786,
-0.8639642000198364,
0.06601610779762268,
-0.8490738868713379,
0.3191818594932556,
-0.3841918110847473,
-0.0505312420427... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: sexual-explicit and non-sexual-explicit. A comment is considered sexual-explicit if it explicitly portrays sexual matters.
Q: Comment: What's gonna change on the repubs agenda. They've been do... | Sexual-explicit
****
| 4 | NIv2 | task323_jigsaw_classification_sexually_explicit | fs_opt | [
-0.8740537762641907,
0.7003824710845947,
-0.03409050405025482,
0.060733385384082794,
-0.4385588765144348,
0.15079939365386963,
-0.02352231927216053,
0.9880585074424744,
0.5745012164115906,
0.8455344438552856,
-0.24362140893936157,
0.3010941445827484,
0.21695108711719513,
-0.610735476016998... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Portugese.
Input: Consider Input: Es la comida básica, más fundamental que hemos tenido en los últimos diez mil años.
Output: Trata-se da base fundamental da nossa alimentação que tivemos nos últimos dez mil anos.
Input: Conside... | Output: Cavalga regularmente até à sua casa da montanha.
| 2 | NIv2 | task1104_ted_translation_es_pt | fs_opt | [
-0.5673339366912842,
1.3468515872955322,
-0.06562685966491699,
-0.24528998136520386,
-0.6486911177635193,
-0.9163674116134644,
0.31882718205451965,
0.6141401529312134,
0.14905181527137756,
-0.47852087020874023,
-0.3084109425544739,
0.47623807191848755,
-0.7162512540817261,
-0.0608730353415... |
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.
Q: ['q', '4867']
A: | 4867 | 4 | NIv2 | task497_extract_all_numbers_from_list_in_order | zs_opt | [
0.5618048906326294,
1.0925811529159546,
-0.3607773184776306,
-1.2966371774673462,
-0.6145756244659424,
0.0927739292383194,
0.9023720622062683,
-0.5975123643875122,
0.30260419845581055,
0.6443840265274048,
0.022061172872781754,
-0.08615680038928986,
0.01235117670148611,
0.2405325472354889,
... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
Não estou certo de que todas as pessoas aqui estejam familiarizadas com as minhas fotografias. | Non sono sicuro che ognuno di voi qui conosca già le mie foto. | 0 | NIv2 | task1280_ted_translation_pt_it | zs_opt | [
-0.33978885412216187,
0.6236835718154907,
-0.6983870267868042,
0.08896719664335251,
-0.2550537884235382,
-0.6535670757293701,
0.2960392236709595,
0.8889909386634827,
-0.27630940079689026,
-0.6563655138015747,
0.03505701199173927,
0.2483421266078949,
-0.28365689516067505,
0.950373649597168,... |
In this task you will be given a list of integers. You should only return an integer if the first digit is the same as the last digit in the number. If an integer has a single digit, then it should be returned. If there are no integers that start and end with the same digit then an empty list ("[]") should be returned.... | [-585, 757]
| 0 | NIv2 | task372_synthetic_palindrome_numbers | fs_opt | [
-0.7106708288192749,
0.27615123987197876,
-0.661236047744751,
-0.2719994783401489,
-0.4642201066017151,
-0.02533281221985817,
0.7491641640663147,
0.30783265829086304,
-0.8660092949867249,
0.04716726765036583,
-0.8172813057899475,
0.13504236936569214,
-0.785325288772583,
-0.0032405424863100... |
Teacher:You will be given a text in the Russian language, and you should classify the given input text to one of the emotion labels from this list of emotion labels- ['joy', 'sadness', 'surprise', 'fear', 'anger']. Make sure your output label (i) is strictly present in the given list of emotion labels. (ii) is unambigu... | anger | 6 | NIv2 | task1662_cedr_ru_classification | zs_opt | [
-0.7816964387893677,
-0.3578389286994934,
0.4694638252258301,
-0.6769589185714722,
-0.6132853031158447,
-0.19673365354537964,
0.1705242246389389,
0.9539474844932556,
0.004412524402141571,
-0.25363510847091675,
-0.4375346004962921,
0.0056734466925263405,
-0.06589303910732269,
-0.10339316725... |
Part 1. Definition
Given a sentence, 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 with [Link].
Part 2. Example
Verify if the sentiment of the following document towards the entity Bill ... | no | 7 | NIv2 | task422_persent_sentence_sentiment_verification | fs_opt | [
-1.2504167556762695,
0.14950944483280182,
0.7934243679046631,
-0.3302154541015625,
0.19100049138069153,
-1.2871533632278442,
0.5199278593063354,
0.7474910020828247,
0.40372833609580994,
0.19604256749153137,
-0.35775038599967957,
0.2506396770477295,
-0.2190464437007904,
-0.46545469760894775... |
Teacher: In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are fine labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is... | $ | 2 | NIv2 | task584_udeps_eng_fine_pos_tagging | fs_opt | [
0.043967653065919876,
0.3569909334182739,
0.007394392043352127,
0.33891287446022034,
-0.06869374215602875,
-0.7288389205932617,
0.680934727191925,
1.2978553771972656,
-0.4408087730407715,
-0.17310890555381775,
-0.13923265039920807,
0.3716929852962494,
-0.2959146499633789,
0.046488977968692... |
Definition: In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by 4, if the element is odd you should multiply by 4 then add 2. The output should be a list of numbers that is the result of applying that logic to the input list. You should not round... | [24.5, -330, -16.0, -98, -370, -242, 150] | 2 | NIv2 | task368_synthetic_even_or_odd_calculation | zs_opt | [
-0.28713279962539673,
0.7090576887130737,
-0.3768252432346344,
0.16530786454677582,
0.33740875124931335,
0.37102264165878296,
0.8570184111595154,
0.1326482594013214,
-0.04930957034230232,
0.47381269931793213,
-0.6355540752410889,
-0.6437404155731201,
-0.26225364208221436,
-0.23969197273254... |
In this task, you need to count the number of words in a sentence that end with the given letter. Answer with numbers and not words.
Sentence: 'a zebra looks at the grass at a zoo'. How many words end with the letter 's' in the sentence. | 2 | 0 | NIv2 | task163_count_words_ending_with_letter | zs_opt | [
-0.04038223996758461,
1.023624062538147,
-0.5178135633468628,
-0.8172585368156433,
-0.9867110252380371,
-0.2074909508228302,
0.477653443813324,
-0.5025851130485535,
0.4985802471637726,
-0.6790577173233032,
-0.5235108137130737,
0.30421242117881775,
-0.32885807752609253,
0.10316507518291473,... |
Detailed Instructions: In this task, you're given a review from Amazon's food products. Your task is to generate a short summary of the given review in the input. Note that you don't need to write a complete sentence as a summary.
Problem:I always try the food before I feed it to my daughter and this one is actually pr... | yum | 8 | NIv2 | task589_amazonfood_summary_text_generation | zs_opt | [
-0.12956878542900085,
0.32401910424232483,
-0.1372537761926651,
-0.8028395175933838,
-0.30639180541038513,
-0.012237142771482468,
1.203834891319275,
0.553622841835022,
0.09445123374462128,
0.5294404029846191,
0.25617894530296326,
-0.37285715341567993,
-0.8926520347595215,
0.335428684949874... |
Teacher:A text is given in Bengali. Translate it from the Bengali language to the Urdu language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? Solve this instance: লোকসভায় এক প্রশ্নের লিখিত জবাবে এই তথ্য জানিয়েছেন প্রতিরক্ষা দপ্তরের প্রতিমন্ত্রী শ্রী ... | لانس نائک نظیر احمد وانی، بار ٹو سینا میڈل، جموں و کشمیر لائٹ انفینٹری34ویں بٹالین راشٹریہ رائفلز(بعد از مرگ) ایوارڈ کے اعلان کا سال | 6 | NIv2 | task1069_pib_translation_bengali_urdu | zs_opt | [
-0.6845333576202393,
0.7233231663703918,
-0.175578773021698,
-1.1042540073394775,
-0.11377965658903122,
-0.4858136773109436,
0.3701377511024475,
-0.5348871350288391,
0.1985524296760559,
-0.4424458146095276,
-0.15168318152427673,
-0.4873966574668884,
-0.5094849467277527,
-0.0688442438840866... |
Detailed Instructions: 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 ev... | Yes | 8 | NIv2 | task1200_atomic_classification_xeffect | zs_opt | [
0.4918581247329712,
0.3208411931991577,
0.10215835273265839,
-0.13852012157440186,
-0.41769424080848694,
-0.8658841848373413,
1.32570219039917,
0.29117196798324585,
-0.5594085454940796,
-0.26978781819343567,
-0.32491403818130493,
-0.16759079694747925,
-0.6385847926139832,
0.311665624380111... |
A text is given in Hindi. Translate it from the Hindi language to the Marathi language. The translation must not omit or add information to the original sentence.
Q: भारत के सामाजिक जीवन को दिशा देने और प्रेरित करने वाली यह भूमि है।
A: | भारताच्या सामाजिक जीवनाला दिशा देणारी, प्रेरणा देणारी ही पवित्र भूमी आहे. | 4 | NIv2 | task1081_pib_translation_hindi_marathi | zs_opt | [
0.25149035453796387,
0.7353873252868652,
0.13024190068244934,
-0.49261629581451416,
-0.5841091275215149,
-0.7763849496841431,
0.6772680878639221,
0.14703775942325592,
-0.3042141795158386,
-0.29412171244621277,
-0.5733150839805603,
0.1962946653366089,
-0.1819499135017395,
0.0112292002886533... |
In this task, you're given reviews from Amazon's products. Your task is to generate the Summary of the review.
One example is below.
Q: My cat won't touch these. My dog, however, chews them and makes a mess all over the carpet and I can't get the shredded sticks out! Messy. Waste of money!
A: Cat hates them
Rationale: ... | There is a built in turn off after 10 minutes if you are asleep or your head is still | 9 | NIv2 | task618_amazonreview_summary_text_generation | fs_opt | [
0.449124276638031,
0.5115392804145813,
-0.5014237761497498,
-0.33167678117752075,
-0.227056086063385,
-1.077674150466919,
0.6099094152450562,
0.03646977245807648,
-0.4366821050643921,
0.2664113938808441,
0.152878999710083,
0.7639080882072449,
-0.6633385419845581,
-0.47041553258895874,
0.... |
In this task, you are given an input list A. You need to extract and sort the unique digits used in the list in ascending order. Return -1 if there is no digit in the list.
Input: Consider Input: ['85', '53', '43', 'j', 'e', '443', '231', 'z', 'f', 'v', '235', '377']
Output: 1, 2, 3, 4, 5, 7, 8
Input: Consider Inpu... | Output: 0, 2, 7
| 2 | NIv2 | task637_extract_and_sort_unique_digits_in_a_list | fs_opt | [
-0.3889954686164856,
0.1390533149242401,
-0.5013295412063599,
-0.2310313731431961,
0.2399166226387024,
0.6890367865562439,
0.710497260093689,
0.08240441232919693,
-0.6668705344200134,
0.5808464288711548,
-1.0341212749481201,
-0.1234378069639206,
-0.736911952495575,
-0.2902270555496216,
-... |
Detailed Instructions: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Q: Now here's a film straight out of my childhood, my family used to taped; but it kind of got tapped over and losted over the years. ... | positive | 9 | NIv2 | task284_imdb_classification | zs_opt | [
-0.6524783372879028,
0.16886752843856812,
-0.29752129316329956,
0.20962437987327576,
0.45782727003097534,
-0.23332829773426056,
0.8038769364356995,
0.7944445610046387,
-0.2469480335712433,
0.018129844218492508,
-0.21124538779258728,
-0.825554609298706,
-0.3837266266345978,
-0.1170487999916... |
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 that situation having read the premise. The update provides additional inform... | strengthener | 4 | NIv2 | task936_defeasible_nli_snli_classification | zs_opt | [
-0.23067954182624817,
0.1709502786397934,
-0.4444918632507324,
-0.2924404740333557,
-0.26696571707725525,
-1.2394709587097168,
1.231492519378662,
1.1472638845443726,
0.5802983641624451,
-0.4582177400588989,
-1.3504738807678223,
0.050109438598155975,
-0.6939548850059509,
0.21767175197601318... |
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 input list.
Example Input: ['9467', 'o', '8347', '7125', '7999', '1737', 'h... | a, c, d, s, w, y
| 3 | NIv2 | task636_extract_and_sort_unique_alphabets_in_a_list | fs_opt | [
-0.2856464982032776,
0.06515524536371231,
-0.3721250891685486,
-0.040143176913261414,
0.2714625597000122,
-0.32030239701271057,
0.6249960660934448,
0.5638877749443054,
-0.32604461908340454,
0.2474486231803894,
-0.7539003491401672,
-0.3038409948348999,
-0.24637475609779358,
-0.1386237740516... |
In this task, you are given a sentence and a question, you would be asked to create the answer which is contained in the sentence provided.
[EX Q]: Sentence: If an air mass forms over an ocean it is called a maritime air mass. Question: If an air mass forms over an ocean it is called what type of air mass?
[EX A]: mar... | epithelial cells
| 6 | NIv2 | task1555_scitail_answer_generation | fs_opt | [
0.2141338288784027,
0.5282832384109497,
-0.10325802862644196,
-0.5642940998077393,
-0.0694485679268837,
-0.6731020212173462,
0.5654970407485962,
0.6202424168586731,
-0.33757632970809937,
-0.004798803478479385,
0.17448844015598297,
-0.3543676733970642,
-1.1733014583587646,
0.345883637666702... |
Detailed Instructions: Given a sentence in Tagalog language, translate the sentence to English language keeping the meaning of the original sentence intact.
See one example below:
Problem: Tagalog sentence: Si Roger Federer ang unang manlalaro na nanalo ng 20 Grand Slams
Solution: Roger Federer was the first player to ... | “This Still Thought of Master Cheng Yen has been instilled in my mind, that there are two things in life that cannot wait: helping others and fulfilling filial piety,” Li said. | 4 | NIv2 | task451_opus_paracrawl_tl_en_translation | fs_opt | [
-0.0076455045491456985,
-0.1497085988521576,
-0.2965887784957886,
0.21208658814430237,
0.5784968137741089,
-1.005488634109497,
0.49631261825561523,
0.7198607921600342,
-0.16457009315490723,
0.14342395961284637,
-0.13464860618114471,
0.8676876425743103,
-1.0369653701782227,
-0.1679762899875... |
A text is given in English. Translate it from the English language to the Malayalam language. The translation must not omit or add information to the original sentence.
One example: ഇന്ത്യയില് നിന്നുള്ള ഹജ്ജ് തീര്ത്ഥാടകരുടെ ആദ്യ സംഘം ന്യൂഡല്ഹിയില്നിന്നും ഇന്നലെ യാത്ര തിരിച്ചു
Solution is here: The first group of Ha... | A UN supported survey had estimated that in our country, 1. | 6 | NIv2 | task1022_pib_translation_malayalam_english | fs_opt | [
0.14835363626480103,
0.5483086109161377,
0.35517507791519165,
-0.2085733562707901,
-0.12433912605047226,
-1.1585376262664795,
-0.0031256708316504955,
0.7009404301643372,
-0.44053828716278076,
0.213341623544693,
-0.5389525294303894,
0.3473260998725891,
-0.8418436050415039,
0.034058548510074... |
Definition: In this task you are given a sentence. You must judge whether the object of the main clause is singular(like: apple) or plural(like: apartments). Label the instances as "Singular" or "Plural" based on your judgment.
Input: You shouldn't be cooking my meals or doing my windows - " " Why not ?
Output: | Plural | 2 | NIv2 | task431_senteval_object_count | zs_opt | [
-1.2180688381195068,
0.6426236629486084,
0.2852192223072052,
0.0014522667042911053,
-0.5356715321540833,
-0.25984513759613037,
0.8905963897705078,
0.11066602170467377,
0.025194765999913216,
-0.36578547954559326,
-0.05248844623565674,
-0.008121744729578495,
-0.5671041011810303,
-0.366416066... |
The task is to generate text based of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons emotional reaction to the event, i.e. how that person feels after doing the action.
Q: PersonX reduces the ___ to levels
A: | happy about his success | 4 | NIv2 | task1595_event2mind_text_generation_1 | zs_opt | [
-0.05052097141742706,
0.4793436825275421,
-0.08423884212970734,
-0.6922610402107239,
-0.7875133752822876,
-0.25839516520500183,
2.0997912883758545,
0.8533741235733032,
-0.0205332450568676,
-0.9904991984367371,
-0.11648896336555481,
-0.017396437004208565,
-0.8636866807937622,
0.693407654762... |
In this task, you need to answer the given multiple-choice question on the physics. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Q: Problem: a bicycle wheel has a diameter of 0.51 m . how many complete revolutions does it make in 1 km ?
Options: a ) 246 , b ) 448 , c ) 1408 , d ) 710 , e ) 624
A: e
****
Q... | a
****
| 4 | NIv2 | task1422_mathqa_physics | fs_opt | [
0.3746148943901062,
0.2894940674304962,
-0.14639851450920105,
0.3417045772075653,
0.07246021926403046,
-0.4080926775932312,
0.08609315752983093,
0.869094967842102,
-0.4935607612133026,
0.15549391508102417,
-0.6325512528419495,
0.13131499290466309,
0.14334213733673096,
-0.253285676240921,
... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Farsi.
אבל כיצד יודעים מה נכון ומה לא?
ولی از کجا بفهمیم چی خوبه و چی بد ؟
דבר ראשון, הכל מתומחר בכ-30 עד 50 אחוז יותר ממה שהיית משלם ברחוב, ודבר שני, אתה לא מרוויח הרבה כסף.
اولاً ، قیمت همه چیز ۳۰ تا ۵۰ درصد بالاتر از چیزی است ، ک... | واقعیت کمی متفاوت هست.
| 0 | NIv2 | task1113_ted_translation_he_fa | fs_opt | [
-1.2213776111602783,
0.31343400478363037,
0.2769204378128052,
0.31494683027267456,
-0.338930606842041,
0.6394451856613159,
0.6472240686416626,
0.5463173389434814,
0.8854955434799194,
0.29751095175743103,
-1.030714988708496,
0.6191072463989258,
-1.116997241973877,
0.21026383340358734,
0.4... |
Detailed Instructions: Given a sentence in the Lao, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Problem:ຄູ່ຮ່ວມ ຂອງ ທ່ານໂຮວາດ ຜູ້ນໍາຂອງຝ່າຍຄ້ານ ທ່ານ ຄິມ ບີສລີ (ພັກແຮງງານອົດສະຕາລີ ແບຣນ) ເວົ້າສະໜັບສະໜູນ ຮ່າງກົດໝາຍ ໃນຮູບແບບ ບໍ່... | ハワードのカウンターパートで野党のリーダーであるキム・ビアズレー（オーストラリア労働党、ブランド）は、改正されない形の法案を支持して、薬を評価する「科学的な能力が大臣にはないことは常識だ」と言い、法案は「本当にトニー・アボットに対するものではない」と繰り返し言った。 | 8 | NIv2 | task1125_alt_lo_ja_translation | zs_opt | [
-0.8643291592597961,
0.11958824098110199,
-0.27262985706329346,
-0.7138851284980774,
-0.22024986147880554,
-1.07232666015625,
0.904057502746582,
-0.2228151261806488,
-0.08101408183574677,
0.22482755780220032,
-0.6565770506858826,
0.43303292989730835,
-0.7191771268844604,
0.1141556575894355... |
Instructions: 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.
Input: Title: fabric. Sentence 1: The woman cut the fabric. Sentence 2: She made it too small for her... | She cut the fabric for the new pattern. | 3 | NIv2 | task216_rocstories_correct_answer_generation | zs_opt | [
-0.5789172053337097,
1.0908701419830322,
-0.6525852680206299,
0.1923162043094635,
-0.18334294855594635,
0.1994343101978302,
0.015679379925131798,
0.359619140625,
-0.05219677835702896,
0.0823483020067215,
-1.02824866771698,
-0.41312339901924133,
-0.20244967937469482,
0.4118545949459076,
0... |
Definition: In this task, you are given a review of product in Polish language and a question whether this review has positive sentiment. You are expected to generate the answer. The output should be "Yes" or "No". Don't generate anything apart from "Yes", "No".
Input: Text: Trzeba pamietac, ze sprzet jest 6cio krotnie... | No | 2 | NIv2 | task635_allegro_reviews_answer_generation | zs_opt | [
-0.8794422149658203,
0.5588771104812622,
-0.2957940101623535,
-0.020305544137954712,
0.15974202752113342,
-0.1689666509628296,
0.5962284803390503,
-0.08376722037792206,
0.11167489737272263,
0.20387500524520874,
-0.29833269119262695,
0.07034537941217422,
0.02521064318716526,
-0.027128683403... |
TASK DEFINITION: In this task, you are given two strings A, B. Find the longest common substring in the strings A and B.
PROBLEM: ahPbomjSH, rBbomynK
SOLUTION: bom
PROBLEM: cfvqbAUpWEmhCSFaUvGrYVNGeUiRP, hAxWMEmhCSFaUvGLBLmdTxhy
SOLUTION: EmhCSFaUvG
PROBLEM: pIkAtJHVcvzzZVz, btWerNSHVcvzzZTz
SOLUTION: | HVcvzzZ
| 8 | NIv2 | task600_find_the_longest_common_substring_in_two_strings | fs_opt | [
1.6787428855895996,
0.8750453591346741,
0.3624151945114136,
-0.5245316028594971,
-0.24214781820774078,
-0.22902697324752808,
0.9827593564987183,
-0.3689805567264557,
0.008743811398744583,
-0.5765126943588257,
-1.1677417755126953,
-0.38161343336105347,
-0.5241857767105103,
0.309275299310684... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given the middle and ending of a three-part story. Your job is to complete the short story by writing a probable beginning of the story. Generated sentences must be short, have fewer than 10 words, and be simple as if narr... | Jorie went with her family to visit Anne Frank's home in Amsterdam. | 1 | NIv2 | task072_abductivenli_answer_generation | zs_opt | [
0.14045289158821106,
0.4958936870098114,
-0.4064701199531555,
0.12709513306617737,
-0.2506101727485657,
0.11108485609292984,
0.7725219130516052,
0.19410955905914307,
-0.12783636152744293,
-0.07106247544288635,
-0.33942073583602905,
0.0397607684135437,
0.28953036665916443,
0.057707954198122... |
Instructions: The answer will be 'yes' if the provided sentence contains an explicit mention that answers the given question. Otherwise, the answer should be 'no'. Instances where the answer is implied from the sentence using "instinct" or "common sense" (as opposed to being written explicitly in the sentence) should b... | No. | 3 | NIv2 | task020_mctaco_span_based_question | zs_opt | [
-0.39501363039016724,
0.7960060834884644,
-0.05187040567398071,
-0.4180769622325897,
-0.22039909660816193,
-0.7779618501663208,
0.6472651362419128,
1.1321916580200195,
0.019504019990563393,
0.3083387315273285,
-0.27607378363609314,
0.14176204800605774,
-0.8182932734489441,
-0.6388888359069... |
instruction:
Given a sentence and an entity, the task is to select the authors sentiment towards the enity. Sentiments can be Positive, Neutral and Negative. Select Positive if the sentence expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the sentence expresses no c... | Positive
| 9 | NIv2 | task421_persent_sentence_sentiment_classification | fs_opt | [
-0.2833685874938965,
0.04467828944325447,
0.4289301037788391,
0.26091447472572327,
-0.09237179160118103,
-0.2248372733592987,
0.1750679910182953,
0.9075636267662048,
0.4713849723339081,
0.18220368027687073,
0.12106050550937653,
0.3363182842731476,
0.15591642260551453,
-0.7030971050262451,
... |
Detailed Instructions: In this task, you're given a pair of sentences in the Persian Language written in the Persian alphabet. Your job is to choose whether the two sentences agree (entailment), disagree (contradiction), or neither (neutral). Your answer must be in the form of the letters E, C, and N, respectively. The... | C | 4 | NIv2 | task534_farstail_entailment | fs_opt | [
-0.09572292864322662,
0.11460863053798676,
0.3957231640815735,
0.35614174604415894,
-0.0674593597650528,
-0.11155962198972702,
0.5001211762428284,
0.7416273355484009,
0.4147949814796448,
0.09625421464443207,
-0.5609617829322815,
0.05770821124315262,
-0.5323119759559631,
-0.0663862079381942... |
Given the task definition and input, reply with output. In this task, you're given passages that contain mentions of names of people, places, or things. Some of these mentions refer to the same person, place, or thing. Your job is to write questions that evaluate one's understanding of such references. Good questions a... | What is the first name of the person who sat in the office of the registrar on the second floor for a while? | 5 | NIv2 | task001_quoref_question_generation | zs_opt | [
0.4159986972808838,
0.1665082424879074,
-0.48729562759399414,
0.038514770567417145,
0.547214150428772,
0.07119644433259964,
0.49372851848602295,
0.5108150839805603,
0.17714917659759521,
0.3123561143875122,
-0.4835112690925598,
0.7933530807495117,
-0.43892228603363037,
-0.035441040992736816... |
Detailed Instructions: The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent dialogue context containing past 3 utterances (whereve... | Yes | 9 | NIv2 | task353_casino_classification_negotiation_elicit_pref | zs_opt | [
-0.6795240640640259,
0.3437234163284302,
-0.18448778986930847,
-0.161249041557312,
-0.6327396631240845,
-0.8800310492515564,
0.7224931716918945,
0.025241056457161903,
-0.26325762271881104,
-0.07835108786821365,
0.12501558661460876,
-0.12733782827854156,
-1.0582139492034912,
0.0130539853125... |
Write a correct answer to the given question based on its associated fact. Make sure that your answer is contained in the associated fact. Don't be creative and introduce any new word that is not mentioned in the associated fact! Remember that the associated fact has been rearranged to form the question. So, the correc... | in the autumn season. | 4 | NIv2 | task041_qasc_answer_generation | zs_opt | [
0.8487524390220642,
1.0388891696929932,
-0.5743565559387207,
-0.22189660370349884,
-0.6383270621299744,
-1.6056383848190308,
0.5416701436042786,
0.19139419496059418,
-0.3123311996459961,
-0.05782763287425041,
-0.606572687625885,
-0.32766756415367126,
-0.9303206205368042,
0.9951674938201904... |
Definition: In this task, you are given a pair of action statements. Your task is to check if you can conclusively identify which statement is less ethical or not. Answer: 'no' if one of the statements is less ethical, and 'yes' otherwise.
Input: ACTION1: texting my boss about my bad coworkers ACTION2: telling people t... | no | 2 | NIv2 | task508_scruples_dilemmas_more_ethical_isidentifiable | zs_opt | [
-0.3113241195678711,
-0.22577105462551117,
0.1684321165084839,
0.14415594935417175,
0.16405974328517914,
-0.5791051387786865,
-0.5718201994895935,
0.3962465524673462,
0.12584099173545837,
0.26648539304733276,
-0.20997226238250732,
-0.5376495718955994,
-0.6184594035148621,
-0.50033986568450... |
Detailed Instructions: In this task your given two statements. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Q: The man did a canon ball into the pool.
The man soa... | effect | 9 | NIv2 | task828_copa_commonsense_cause_effect | zs_opt | [
-0.1304239183664322,
0.7043001651763916,
-0.6164119243621826,
-0.9389879703521729,
-0.29402852058410645,
-0.8134474158287048,
0.44910526275634766,
0.9533965587615967,
0.2591160535812378,
-0.34948664903640747,
-0.34526723623275757,
0.4466215968132019,
-1.098926067352295,
-0.0158333592116832... |
Generate an appropriate single-sentence summary for the given text such that it includes the main topic of the text.
An aircrew was on a routine patrol when it spotted the group frantically waving a makeshift flag on Anguilla Cay. The Cuban nationals told officials they had survived largely on coconuts. One of the cre... | Three people believed to have been stranded on an uninhabited island in the Bahamas for 33 days have been rescued, the US Coast Guard says. | 0 | NIv2 | task1357_xlsum_summary_generation | zs_opt | [
0.3822816014289856,
0.1276024878025055,
-0.40188419818878174,
-0.7797583937644958,
0.020563246682286263,
-0.889051616191864,
0.4747505187988281,
0.5506747364997864,
-0.7454153299331665,
0.46671193838119507,
0.10834723711013794,
-0.011387288570404053,
-0.9440317153930664,
0.0948748290538787... |
You will be given a context, a subject and a relation. Your task is to generate a question based on the subject and relation. The generated question should include the given subject. Try to use a minimum number of words that are not present in either context, subject or relation while generating question.
Input: Consi... | Output: What is Margareta Bergman's spouse's name?
| 2 | NIv2 | task1325_qa_zre_question_generation_on_subject_relation | fs_opt | [
-0.06693711876869202,
1.0472232103347778,
-0.4304925799369812,
0.06352343410253525,
-0.4284890294075012,
-0.4325242340564728,
0.10594247281551361,
0.2579991817474365,
-0.002729253377765417,
-0.32691246271133423,
-0.528891921043396,
0.9731693267822266,
-0.6541146039962769,
0.294153511524200... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Portugese.
Q: (Aplausos) CA: Leymah, gracias. Muchas gracias por venir a TED.
A: | (Aplausos) CA: Leymah, obrigado. Muito obrigado por ter vindo ao TED. | 4 | NIv2 | task1104_ted_translation_es_pt | zs_opt | [
-0.36454448103904724,
0.7396761178970337,
-0.3153544068336487,
-0.7364914417266846,
-0.3342656195163727,
-0.9595270156860352,
-0.7166093587875366,
0.40756481885910034,
-0.10542266815900803,
0.02502787485718727,
0.22282394766807556,
0.427377313375473,
-0.28222882747650146,
-0.18265444040298... |
In this task, you are given a sentence which is either in the Swedish language or English language. You task is to identify the language of input sentence. Input sentence can be in Swedish or English language only and also it cannot have two languages at a time.
--------
Question: I congratulate him on his excellent re... | Swedish
| 7 | NIv2 | task315_europarl_sv-en_language_identification | fs_opt | [
-0.3355586528778076,
0.972661018371582,
0.9911437034606934,
-0.26971086859703064,
0.5117235779762268,
-0.5315626859664917,
0.22548049688339233,
0.47308585047721863,
0.5964227914810181,
-0.18829944729804993,
-0.5705851316452026,
0.23605653643608093,
0.01983628422021866,
-0.46776658296585083... |
Given the task definition, example input & output, solve the new input case.
Given a context passage, generate a question from the passage such that its answer is shortest continous span from the passage.
Example: In 1582 the united provinces invited francis, duke of anjou to lead them; but after a failed attempt to ta... | Which political party was Motilal Nehru a member of? | 1 | NIv2 | task470_mrqa_question_generation | fs_opt | [
0.395130455493927,
0.8452293872833252,
0.16157874464988708,
-0.1681276559829712,
0.5409976243972778,
0.028431663289666176,
-0.36422309279441833,
0.07116414606571198,
0.4089925289154053,
-0.10010963678359985,
-0.12997379899024963,
-0.13450779020786285,
-0.5738527774810791,
-0.17242500185966... |
Given two entities as input, classify as "yes" if second entity is the part of the first entity. Otherwise classify them as "no". These are entities of meronym In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a meronym (i.e., second enti... | no
| 3 | NIv2 | task472_haspart_classification | fs_opt | [
-0.4298674464225769,
0.4407151937484741,
0.6633629202842712,
0.03625073283910751,
-0.15018531680107117,
-0.5541568994522095,
-0.23060129582881927,
0.6316003799438477,
0.7013574838638306,
-0.5996192097663879,
-0.4521595537662506,
-0.39364802837371826,
-0.5199611186981201,
-0.111980788409709... |
Q: You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. You are required to assign a label 'formal' if there is an absence of emotion and a presence of questions anywhere within the conversation. If such pattern is not found assign the label 'inform... | informal | 7 | NIv2 | task1533_daily_dialog_formal_classification | zs_opt | [
-0.3549535274505615,
0.17928168177604675,
0.14886274933815002,
0.23905925452709198,
-0.33621954917907715,
-0.1284215897321701,
0.5409507751464844,
0.015806907787919044,
-0.2286279797554016,
0.0374264195561409,
-0.3647229075431824,
-0.3316865563392639,
0.08025836944580078,
0.352261126041412... |
Given the task definition and input, reply with output. In this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Romanian language.
There were indeed some serious issues surrounding Kennedy's election in 1960, one of the closest elections in History.
| Într-adevăr au fost ceva probleme serioase în legătură cu alegerile lui Kennedy din 1960, unele dintre cele mai strânse alegeri din istorie. | 5 | NIv2 | task1436_ro_sts_parallel_language_translation_en_to_ro | zs_opt | [
0.3146386742591858,
0.9681069850921631,
0.28738605976104736,
-0.10349241644144058,
-0.3064742684364319,
-0.6755130887031555,
0.2597478926181793,
0.34275567531585693,
0.5510942935943604,
0.14942528307437897,
0.4111813008785248,
0.26701176166534424,
0.002542911097407341,
0.34433287382125854,... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence in the Bulgarian language. Here, your job is to convert bulgarian sentence into the english language.
Във време на такива сътресения, както беше тази есен, докладчикът успя да намери разумен компромис, к... | In such a turbulent time as this autumn has been, the rapporteur has succeeded in finding a reasonable compromise, as we have already heard. | 1 | NIv2 | task271_europarl_translation | zs_opt | [
0.06012481451034546,
0.406171977519989,
0.3140980899333954,
-0.4357726573944092,
0.2714223265647888,
-0.23415595293045044,
0.939228892326355,
0.11280106008052826,
0.5628360509872437,
-0.26309043169021606,
0.1347946673631668,
0.8585436344146729,
-0.3131784200668335,
0.4371604919433594,
0.... |
Teacher:Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect answers, such that the incorrect answers can be directly excluded without reasoning according to the context. Try ... | The bills for the restaraunts has come due . | 6 | NIv2 | task025_cosmosqa_incorrect_answer_generation | zs_opt | [
0.42725086212158203,
0.7065665125846863,
-0.48861414194107056,
-0.3088388442993164,
-0.5023177862167358,
-0.7650720477104187,
0.5460497140884399,
1.200878620147705,
-0.5289965271949768,
-0.8037310242652893,
-0.4198082685470581,
-0.046468593180179596,
-1.9995121955871582,
-0.133535027503967... |
Teacher: Read the given text and if it has abusive content then indicate via "yes". Otherwise indicate via"no".
We consider the content to be abusive if it contains any of the following instances: (1) Identity Directed Abuse (e.g., Content which contains a negative statement made against an identity. An identity is a ... | yes | 2 | NIv2 | task108_contextualabusedetection_classification | fs_opt | [
-0.42667704820632935,
0.01687672734260559,
0.255760133266449,
0.19195115566253662,
0.17746886610984802,
-0.2930453419685364,
0.3926292657852173,
0.7409498691558838,
0.14631766080856323,
0.6666082143783569,
0.25954240560531616,
-0.16720174252986908,
-0.3329423666000366,
-0.5289669036865234,... |
This task involves creating answers to complex questions, from a given passage. Answering these questions, typically involve understanding multiple sentences. Make sure that your answer has the same type as the "answer type" mentioned in input. The provided "answer type" can be of any of the following types: "span", "d... | 333.
| 3 | NIv2 | task028_drop_answer_generation | fs_opt | [
0.7722804546356201,
0.04170381277799606,
-0.9768102169036865,
0.06211906298995018,
0.3020741939544678,
-0.08804374933242798,
0.8486646413803101,
0.7299854159355164,
-0.23805689811706543,
-0.08353520929813385,
-0.8347755670547485,
0.28416407108306885,
-0.7374959588050842,
-0.166339635848999... |
In this task, you are given a sentence in English and your task is to translate it into Spanish. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
Example input: I declare resumed the session of the European Parliament adjourned on Friday 17 December 1999, ... | Todos sabemos que en 1995 se acordó que había que implantar una mejor protección penal de los intereses financieros de la Unión. | 3 | NIv2 | task530_europarl_en_es_translation | fs_opt | [
-0.32583752274513245,
0.6400789022445679,
-0.29125505685806274,
0.002448439132422209,
-0.111520916223526,
-0.09705078601837158,
0.1928562968969345,
0.8796020150184631,
-0.18132537603378296,
0.2555381953716278,
0.16448542475700378,
0.6245794296264648,
-0.8133026361465454,
-0.022414568811655... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: Two words: potato flakes. Not sure what the buzz about these is. Try one bag before you buy a c... | Negative | 6 | NIv2 | task586_amazonfood_polarity_classification | zs_opt | [
0.48134759068489075,
-0.1504143923521042,
0.48496580123901367,
0.00040644907858222723,
0.13741016387939453,
0.25132477283477783,
0.7727763652801514,
0.6892383098602295,
-0.061606474220752716,
-0.004768249578773975,
-0.1009291410446167,
-0.09420839697122574,
-0.6153436899185181,
-0.53160750... |
Definition: In this task, you're given a statement and three sentences as choices. Your job is to determine the neutral choice based on your inference from the statement and your commonsense knowledge. The neutral choice is a sentence that neither agrees nor disagrees with the statement. Indicate your answer as '1', '2... | 1 | 2 | NIv2 | task201_mnli_neutral_classification | zs_opt | [
0.5085836052894592,
-0.22023926675319672,
-0.04273269325494766,
-0.20203712582588196,
-0.06333234161138535,
-0.39692223072052,
0.8725675344467163,
0.5239099860191345,
0.6113284826278687,
0.15521305799484253,
-0.27074140310287476,
-0.3178998827934265,
-0.3550677001476288,
-0.233319237828254... |
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 with [Link].
One example is below.
Q: Verify if the sentiment of the following document towards the entity Bill Clinton is... | no | 9 | NIv2 | task423_persent_document_sentiment_verification | fs_opt | [
-0.5735418796539307,
0.18190516531467438,
0.035266272723674774,
0.40891551971435547,
0.32442808151245117,
-0.3909148573875427,
-0.06770453602075577,
0.5891105532646179,
-0.008691411465406418,
0.23701144754886627,
0.46463048458099365,
0.4767515957355499,
-0.38795363903045654,
-0.01003524754... |
Given a sentence in Hindi, generate a new Hindi sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being... | जीवन हमेशा मृत्यु में कहते हैं.
| 6 | NIv2 | task407_mickey_hi_sentence_perturbation_generation | fs_opt | [
-0.30412811040878296,
0.32706794142723083,
0.1176273375749588,
-0.5375774502754211,
-0.4308781921863556,
-1.7777652740478516,
0.8617115020751953,
0.6279970407485962,
-0.3740985691547394,
-0.11389760673046112,
-0.2521416246891022,
-0.23451703786849976,
-0.52088862657547,
0.46328431367874146... |
Q: Generate a question which can yield the answer mentioned in the input. Generated question must be answered by the answer provided in input, without using any extra knowledge.
Context : Olaf Wildeboer Faber (born March 4, 1983 in Sabadell, Catalonia, Spain) is a freestyle swimmer.
Answer : Sabadell
A: | What city is Olaf Wildeboer from? | 7 | NIv2 | task1326_qa_zre_question_generation_from_answer | zs_opt | [
0.2562737464904785,
0.9636040329933167,
-1.3987767696380615,
-0.943008303642273,
0.3112581968307495,
0.05818358063697815,
0.3603895604610443,
-0.20696905255317688,
0.3861045241355896,
-0.37586474418640137,
0.19598388671875,
1.103470802307129,
-1.2781634330749512,
-0.20668599009513855,
0.... |
Teacher:You are given a sentence in Italian. Your job is to translate the Italian sentence into Farsi.
Teacher: Now, understand the problem? Solve this instance: Parte di quello che stiamo scoprendo è che quello che pensavamo fosse il punto più importante della produzione e del consumo, cioè ottenere un sacco di roba, ... | بخشی از آنچه که ما در حال پیدا کردن آن هستیم این است که آنچه كه ما فکر می کردیم نقطه عمده ای از تولید و مصرف ، يعني دستيابي به يك EP ديجيتالي است در واقع ، در خصوص 'چگونه بهتر در محیط های متراکم زندگی کنیم' نیست. | 6 | NIv2 | task1254_ted_translation_it_fa | zs_opt | [
0.16258196532726288,
0.7646625638008118,
0.14579470455646515,
0.02710753306746483,
-0.3625710606575012,
-0.6676725149154663,
0.01211276650428772,
0.9119150638580322,
-0.22212623059749603,
0.7328440546989441,
-0.6229383945465088,
0.32950568199157715,
-0.9372928142547607,
-0.4307577908039093... |
You are given a statement written in Kannada. 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 .
[EX Q]: Statement: ಸಮ್ಮೇದ ಶಿಖರ್ಜಿಯು ಜೈನರ ಪವಿತ್ರ ಯಾತ್ರಾ ಸ್ಥಳವಾಗಿದೆ. ಇದು <MASK> ರಾಜ್ಯದ ಗಿರಿಢಿ ಎಂಬಲ್ಲಿದೆ. ಹಿಂದೂಗಳಿಗೆ... | ಕೀನ್ಯಾ
| 6 | NIv2 | task948_wiki_cloze_kn_multiple_choice_question_answering | fs_opt | [
0.4545355439186096,
0.33721861243247986,
-0.4313589930534363,
0.29198765754699707,
-0.34950441122055054,
-0.7799243330955505,
-0.08070804923772812,
0.37454572319984436,
-0.032282862812280655,
0.021448729559779167,
0.04325549304485321,
0.9398718476295471,
-0.47756704688072205,
-0.0511113256... |
Definition: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Hebrew.
Input: ご存じのように遺伝子配列解明はそのほとんどをコンピュータによって実装しており価格が下落していますムーアの法則と同じ状況です
Output: | אני מניח שאתם יודעים שריצוף גנטי, בגלל שהוא מבוסס על מחשבים יורד במחיר בצורה שדומה לחוק Moore | 2 | NIv2 | task1225_ted_translation_ja_he | zs_opt | [
-0.19471433758735657,
-0.44334667921066284,
-0.47722649574279785,
-0.06531056761741638,
-0.5476627349853516,
-0.31699132919311523,
0.5075176358222961,
0.7950836420059204,
0.7857664823532104,
0.1409364938735962,
-0.6123058795928955,
-0.34097713232040405,
-0.5412718057632446,
0.5206215977668... |
Q: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
(ضحك) العبقريان اللذان لدي واللذان خلف الستار سيساعداني على نقل النتائج على الشاشة.
A: | (Risate) I due esperti che mi aiutano e che sono dietro le quinte mi aiuteranno a portare i risultati sullo schermo. | 7 | NIv2 | task1106_ted_translation_ar_it | zs_opt | [
-0.0474831685423851,
0.6914277076721191,
-0.5874031782150269,
-0.5242536067962646,
-0.3789854943752289,
0.5164335370063782,
0.4231143593788147,
0.6468368768692017,
0.8160374164581299,
-0.4013864994049072,
-0.3703048527240753,
0.4210464656352997,
-0.48085740208625793,
0.686383068561554,
0... |
You will be given a definition of a task first, then some input of the task.
A text is given in Panjabi. Translate it from the Panjabi language to the Tamil language. The translation must not omit or add information to the original sentence.
கீழ்க்காணும் நோக்கங்களை அடைய இந்த மசோதா விரும்புகிறது:
Output: | ਬਿਲ ਵਿੱਚ ਨਿਮਨਲਿਖਤ ਟੀਚਿਆਂ ਨੂੰ ਹਾਸਲ ਕਰਨ ਦੀ ਵਿਵਸਥਾ ਕੀਤੀ ਗਈ ਹੈ: | 1 | NIv2 | task1016_pib_translation_tamil_punjabi | zs_opt | [
0.19040939211845398,
0.9488909840583801,
0.08194079250097275,
0.3522631824016571,
0.19578248262405396,
-1.1116760969161987,
0.9705982208251953,
0.24866104125976562,
-0.05361051857471466,
0.8723593950271606,
-0.024635473266243935,
-0.12424637377262115,
-0.18604500591754913,
-0.1001408547163... |
In this task your given two statements in Indonesian. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Q: Bocah itu tersandung.
Tali sepatunya terlepas.
A: | cause | 4 | NIv2 | task1171_xcopa_commonsense_cause_effect_id | zs_opt | [
-0.5579134225845337,
0.6222460865974426,
-0.5427801609039307,
-0.19888590276241302,
-0.3307148814201355,
0.032495059072971344,
0.5294604301452637,
0.009174132719635963,
-0.013720875605940819,
-0.6728506684303284,
-0.5952342748641968,
0.6403754949569702,
-1.0865285396575928,
0.1362811028957... |
In this task, you are given a sentence in the English language and your task is to convert it into the Japanese language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Let me give you an example: Italy have defeated Portugal 31-5 in Pool C o... | コーフィールドカップは、この州にウィルスを持ち込ませないため、厳戒態勢で行われるだろう。 | 8 | NIv2 | task435_alt_en_ja_translation | fs_opt | [
-0.10169010609388351,
0.9653781652450562,
-0.1798553168773651,
0.17851626873016357,
0.032401978969573975,
-0.362191379070282,
0.40150097012519836,
0.48255541920661926,
0.14493638277053833,
-0.5295097231864929,
-0.6658682227134705,
0.6716537475585938,
-0.5092465281486511,
0.4106711745262146... |
Given the task definition and input, reply with output. You need to create a question containing a blank (_), based on the given context word. Your question must contain two persons --PersonX and PersonY. The expected answer to your question must be PersonX. PersonX and PersonY should not be equally likely to fill the ... | PersonX's stomach was more toned that PersonY's because _ often did sit-up exercises at the gym. | 5 | NIv2 | task032_winogrande_question_generation_person | zs_opt | [
0.43136271834373474,
0.7681717276573181,
0.25903719663619995,
-0.03852621465921402,
0.03337496519088745,
-0.046815354377031326,
0.2611484229564667,
0.6796548366546631,
-0.21803325414657593,
-0.4537124037742615,
-0.4204888641834259,
-0.0038348031230270863,
-0.6347907185554504,
0.10739640146... |
Detailed Instructions: In this task, you need to reverse the order of words in the given sentence.
Q: Sentence: two men and one woman are standing in the snow on skis
A: | skis on snow the in standing are woman one and men two | 9 | NIv2 | task376_reverse_order_of_words | zs_opt | [
0.2565034031867981,
0.8603227138519287,
-1.3105131387710571,
-0.8839085102081299,
0.4875641465187073,
0.05588293448090553,
0.477070689201355,
0.16489039361476898,
0.6507023572921753,
-0.37862610816955566,
-0.8282355070114136,
0.4698415994644165,
0.3696942925453186,
-0.7010022401809692,
0... |
Detailed Instructions: In this task your given two statements in Italian. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Problem:Il padre colse il figlio a mentire.... | effect | 8 | NIv2 | task1173_xcopa_commonsense_cause_effect_it | zs_opt | [
-0.17189979553222656,
0.518061637878418,
-0.11522385478019714,
-0.36016786098480225,
-0.8407005071640015,
0.08634646236896515,
0.3971409499645233,
1.5053379535675049,
0.28601014614105225,
-0.40913450717926025,
-0.5783994197845459,
0.4731231927871704,
-0.6985875368118286,
0.1020826101303100... |
You will be given a definition of a task first, then some input of the task.
In this task you will be given a list of numbers and you need to subtract every value in the list with the index it is at. The index of an elements shows its numerical order in the list(for example, in the list [7,10,4,5], the index of 7 is 1 ... | [-8, -22, -5] | 1 | NIv2 | task096_conala_list_index_subtraction | zs_opt | [
0.2028391808271408,
0.38286566734313965,
-0.6952745914459229,
0.17803959548473358,
0.39067542552948,
-0.010424391366541386,
1.4783087968826294,
0.3311665654182434,
0.2121802270412445,
0.08360125124454498,
-0.5903216004371643,
-0.5099551677703857,
-0.5607476830482483,
-0.0010616178624331951... |
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.
Q: 103 केन्द्रीय विद्यालय, हर आदिवासी बहुल तालुके में एकलव्य मॉडल आवासीय विद्यालय और 62 नए नवोदय विद्यालय स्थापित किए जा रहे हैं।
A: 103 കേന്ദ്രീയവിദ്യാല... | നിങ്ങള്ക്കേവര്ക്കും 2018 ന്റെ ശുഭാശംസകള്.
****
| 4 | NIv2 | task1017_pib_translation_hindi_malayalam | fs_opt | [
0.17356069386005402,
-0.21458834409713745,
0.15059524774551392,
-1.0235322713851929,
-0.2972540259361267,
-0.8898637890815735,
0.14815478026866913,
0.7522822022438049,
-0.3093016743659973,
-0.5398608446121216,
-0.04518720507621765,
-0.6799064874649048,
-0.263011634349823,
-0.18143667280673... |
Q: In this task, you need to answer 'Yes' if the given word is the longest word (in terms of number of letters) in the given sentence, else answer 'No'. Note that there could be multiple longest words in a sentence as they can have the same length that is the largest across all words in that sentence.
Sentence: 'a bake... | Yes | 7 | NIv2 | task114_is_the_given_word_longest | zs_opt | [
-0.2086043357849121,
0.4680681824684143,
0.2387135624885559,
0.2574179172515869,
-0.16735079884529114,
-0.2088581621646881,
-0.22783243656158447,
0.45429253578186035,
0.11061939597129822,
-0.40434056520462036,
-0.5439503788948059,
0.09424194693565369,
0.06031611189246178,
-0.09866687655448... |
In this task, you are given a sentence or phrase in Xhosa. You must translate it to English in a way that is equivalent in terms of meaning and grammatically correct.
Imizi eyayiqeshelwe ukwakha iinqanawa yayiyiVickers Maxims , Laird , Fairfield noArmstrong . | The firms employed to build the ships were Vickers-Maxim, Laird, Fairfield and Armstrong. | 0 | NIv2 | task873_opus_xhosanavy_translation_xhosa_eng | zs_opt | [
-0.1534154862165451,
0.01715066097676754,
-0.006027569528669119,
-0.32242846488952637,
-0.16542045772075653,
0.04151962324976921,
1.0672826766967773,
0.17007270455360413,
0.6255820989608765,
-0.5418723821640015,
-0.36601102352142334,
-0.002405524952337146,
-0.7649532556533813,
-0.401629030... |
Q: In this task, you are given a short passage that conveys stereotype or anti-stereotype about a specific target. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. You are expected to classify the passage into four types ... | Race | 7 | NIv2 | task280_stereoset_classification_stereotype_type | zs_opt | [
-0.12344944477081299,
0.7270580530166626,
0.048607293516397476,
-0.25752559304237366,
0.02035202831029892,
0.17078936100006104,
0.48788949847221375,
0.6917477250099182,
0.45182734727859497,
0.21437308192253113,
-1.0034509897232056,
0.3356017470359802,
-0.9449551105499268,
-0.15197524428367... |
A piece of text from one of these 5 languages - French, English, Dutch, Somali, Tagalog is given. Generate the language to which the text belongs.
Text: 26:18 Sidaas daraaddeed Ciise wuxuu ku yidhi, "Orod oo ay magaaladii soo galeen, in mid ka mid gaar ah, oo waxaad isaga ku: Macallinkii wuxuu yiri: Wakhtigaygii waa d... | Somali
| 0 | NIv2 | task447_opus_paracrawl_classification | fs_opt | [
0.24460145831108093,
0.8874043822288513,
0.07270961999893188,
-0.047576144337654114,
-0.4034523367881775,
-0.5612037777900696,
-0.39239829778671265,
0.6958832740783691,
0.32764020562171936,
0.3296838402748108,
-0.3477807939052582,
0.4042920768260956,
-0.14738348126411438,
-0.27183341979980... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Galician. Your job is to translate the Galician sentence into Hebrew.
Example: Pregunteille: "" É coma un soño? "" E dixo: "" Non, non é coma un soño. É coma unha película. Ten cor. Ten movemento.
Output: "אז," אמרת... | אז, הנה הוא, הרועה הזה, מנוסה בשימוש בכלי הנשק העוצמתי הז, מול הענק המתנשא הנושא 50 ק "" ג של שריון וכלי נשק כבדים נוספים אשר שימושיים רק בקרב פנים אל פנים. | 1 | NIv2 | task1242_ted_translation_gl_he | fs_opt | [
-1.0303242206573486,
0.7046869397163391,
0.20596793293952942,
-0.4882788062095642,
-0.03424620255827904,
-0.3640894293785095,
0.526235818862915,
1.1024646759033203,
-0.4949822425842285,
0.02445415034890175,
-0.26750648021698,
0.20395998656749725,
-0.8599473237991333,
-0.31916606426239014,
... |
In this task, you are given two sets, and a question. You need to find whether an element is at the intersection of two given sets. A Set is shown by two curly braces and comma-separated numbers inside, like {1, 2, 3}. The intersection of two given sets is the largest set which contains all the elements that are commo... | No
| 6 | NIv2 | task245_check_presence_in_set_intersection | fs_opt | [
0.10038091242313385,
0.1286197006702423,
-0.7236908674240112,
0.12089252471923828,
-0.12959110736846924,
-0.870496392250061,
1.1133469343185425,
0.6650006771087646,
-0.39064329862594604,
-0.04411131143569946,
-0.5065383911132812,
0.6812835335731506,
0.08550729602575302,
-0.3767638802528381... |
In this task, you are given a sentence in the English and Japanese language. Your task is check if the Japanese sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
Example Input: English: The teenager allegedly shot the grenade against the policem... | Yes
| 3 | NIv2 | task437_alt_en_ja_answer_generation | fs_opt | [
0.19796043634414673,
0.08386871963739395,
0.14787599444389343,
0.048312943428754807,
0.6672792434692383,
-1.1042096614837646,
0.24189263582229614,
0.649631917476654,
-0.7002803683280945,
0.049743033945560455,
0.4772387444972992,
0.7563973665237427,
-1.1105064153671265,
0.15068742632865906,... |
Given the task definition, example input & output, solve the new input case.
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: স্তন্যপান সম্পর্কে অভিভাবকদের সচেতন ও উৎসাহদানে গুরুত্ব বিশ্ব স্তন্... | नुकत्याच पूर्ण झालेल्या 720 मेगावॅट क्षमतेच्या मांगडेचू जलविद्युतनिर्मिती प्रकल्पाचे दोन्ही पंतप्रधानांनी औपचारिकपणे उद्घाटन केले. | 1 | NIv2 | task1061_pib_translation_bengali_marathi | fs_opt | [
-0.4737861752510071,
0.5045411586761475,
-0.2369433045387268,
0.05088198184967041,
-0.2621687352657318,
-0.6387678384780884,
0.45805832743644714,
0.34450945258140564,
0.4612601399421692,
-0.2838537395000458,
-0.704565167427063,
0.020359240472316742,
-0.2439633011817932,
-0.1160221919417381... |
Given a negotiation between two participants, answer 'Yes' if both participants agree to the deal, otherwise answer 'No'.
Ex Input:
THEM: i will take the books and the hat you can have the basketball YOU: can i have the basketball and the hat? THEM: sure that sounds like a great deal YOU: okay, i will take the bask... | Yes
| 1 | NIv2 | task1384_deal_or_no_dialog_classification | fs_opt | [
0.44804736971855164,
0.2343502938747406,
-0.04823486506938934,
0.6301124095916748,
0.4351845979690552,
-0.6958272457122803,
0.45187944173812866,
0.37878286838531494,
0.1512933373451233,
-0.5457708835601807,
-0.07934972643852234,
0.4612540900707245,
-0.6338185667991638,
-0.431216299533844,
... |
Teacher:Given a paragraph about cooking, and a set of conversational questions and answers about the paragraph, say whether the passage contains sufficient information to answer the follow-up question. Say Yes if it is answerable; otherwise, say No. The paragraph has the prefix 'CONTEXT:'. Each conversation question ha... | No | 6 | NIv2 | task1439_doqa_cooking_isanswerable | zs_opt | [
0.07951139658689499,
0.23896220326423645,
-0.6959730982780457,
0.09247681498527527,
-0.1734950840473175,
-0.8056991100311279,
1.1288648843765259,
0.9599199295043945,
-0.32007092237472534,
0.2290555238723755,
0.5779904723167419,
0.29841795563697815,
-0.5437381267547607,
0.8235959410667419,
... |
Teacher:In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's the cor... | True | 6 | NIv2 | task1187_politifact_classification | zs_opt | [
-0.4669327735900879,
0.38608959317207336,
0.09182173013687134,
-0.6198943257331848,
-0.3424330949783325,
-0.35437580943107605,
0.6575819253921509,
0.21619409322738647,
0.2996698021888733,
-0.4095929265022278,
0.07893896102905273,
0.4594038128852844,
-0.40314552187919617,
-0.575271487236023... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: identity-attack and non-identity-attack. Identity attack refers to anything rude or disrespectful about someone's identity, including appearance, race, gender, and sexual orientation.
[EX Q]: ... | Identity-attack
| 6 | NIv2 | task325_jigsaw_classification_identity_attack | fs_opt | [
-0.4023049473762512,
0.5541660785675049,
0.344302237033844,
0.9024220705032349,
-0.6312136650085449,
-0.13655605912208557,
0.75597083568573,
0.43207183480262756,
0.7151383757591248,
0.29922550916671753,
-0.029403172433376312,
0.005585221573710442,
-0.48046451807022095,
-0.8317729234695435,... |
Instructions: Given a sentence and an entity, the task is to select the authors sentiment towards the enity. Sentiments can be Positive, Neutral and Negative. Select Positive if the sentence expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the sentence expresses no ... | Positive | 3 | NIv2 | task421_persent_sentence_sentiment_classification | zs_opt | [
-1.1524169445037842,
0.02178892493247986,
0.9092447757720947,
0.28014540672302246,
0.005914132110774517,
-1.0749605894088745,
0.6208432912826538,
0.4370061457157135,
0.9277298450469971,
-0.05269533395767212,
-0.3015771806240082,
-0.0646308958530426,
-0.5372753143310547,
-1.0793211460113525... |
Detailed Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to determine if the two sentences clearly agree/disagree with each other, or if this can't be determined. Indicate your answer as yes or no respectively.
Problem:Sentence 1: Prudie knows this from experience. S... | yes | 8 | NIv2 | task199_mnli_classification | zs_opt | [
-0.8958839774131775,
0.5488216876983643,
0.6648664474487305,
-0.4800754189491272,
-0.044096216559410095,
-1.0331525802612305,
0.5634891390800476,
0.9044144153594971,
0.7115076780319214,
0.13727062940597534,
-0.6858307719230652,
-0.8556197285652161,
-0.7209578156471252,
0.14317789673805237,... |
In this task, you are given a sentence in English, and your task is to translate it into Persian.
One example is below.
Q: not just the words . and thats where a great film editor can help a director .
A: فقط کلمات نيستن؛ يک تدوينگر خوب خيلي به کار گردان کمک ميکنه .
Rationale: This is a good example. The above sentence... | همون فاصله بين اينجا و اينجاست . | 9 | NIv2 | task658_tep_en_fa_translation | fs_opt | [
-0.8005868196487427,
0.5467169880867004,
-0.03850548341870308,
-0.19205039739608765,
-0.520355761051178,
-0.35055267810821533,
0.8182481527328491,
0.1860906481742859,
0.31622424721717834,
-0.3698786795139313,
-0.16360989212989807,
-0.3198709487915039,
-0.5375558137893677,
0.491911798715591... |
Read the given sentence and if it is a general advice then indicate via "yes". Otherwise indicate via "no". advice is basically offering suggestions about the best course of action to someone. advice can come in a variety of forms, for example Direct advice and Indirect advice. (1) Direct advice: Using words (e.g., sug... | yes
****
| 4 | NIv2 | task115_help_advice_classification | fs_opt | [
-0.0766601413488388,
0.35213494300842285,
0.30273914337158203,
0.07952287048101425,
0.3399941027164459,
-1.512696623802185,
0.6572756171226501,
0.31445521116256714,
0.12803888320922852,
0.20061901211738586,
-0.5730083584785461,
-0.6857972741127014,
-0.8111200332641602,
-0.22163860499858856... |
In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
Q: I'm looking on my own.
A: Have you found a good realtor?
****
Q: I've been planning this trip for weeks!
A: Have you made a list of things you'd like to do?
****
Q: I've lived her for a year.
A: | Have you lived here long?
****
| 4 | NIv2 | task568_circa_question_generation | fs_opt | [
-0.5022339820861816,
1.2637498378753662,
0.14033162593841553,
-0.13583095371723175,
0.5419949889183044,
-1.0491079092025757,
0.1273324340581894,
-0.06333468854427338,
0.06857582181692123,
0.46346867084503174,
0.12294666469097137,
0.493536114692688,
-1.0615607500076294,
0.05685921385884285,... |
You are given a sentence in English. Your job is to translate the English sentence into Italian.
Ex Input:
Conservation group gets together, tries to figure out how to breed an animal that's almost extinct.
Ex Output:
Un gruppo di conservazionisti unisce gli sforzi e cerca un modo per allevare un animale che è quasi ... | JS: L'ho fatto mettendo insieme un gruppo di persone meraviglioso.
| 1 | NIv2 | task1091_ted_translation_en_it | fs_opt | [
-0.983707845211029,
0.8716686367988586,
-0.5393496751785278,
0.4618043601512909,
-0.6962857842445374,
-0.9367820024490356,
-0.038659870624542236,
0.5399857759475708,
-0.49436503648757935,
-0.055544450879096985,
-0.4209463596343994,
0.6365519762039185,
-0.3102421164512634,
0.314491659402847... |
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... | No
| 1 | NIv2 | task1205_atomic_classification_isafter | fs_opt | [
0.3500477075576782,
0.08892612159252167,
0.13181672990322113,
-0.22019854187965393,
-0.693962812423706,
0.033755071461200714,
1.0937516689300537,
0.45719313621520996,
-0.3309605121612549,
-0.7000848650932312,
-0.42508095502853394,
-0.8975154161453247,
-0.6247903108596802,
0.132516115903854... |
instruction:
In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how they... | Where were the first five rafters trying to reach?
| 9 | NIv2 | task184_break_generate_question | fs_opt | [
0.3763352632522583,
-0.21447452902793884,
-0.6527556777000427,
0.35437172651290894,
0.07054702937602997,
-0.02287455089390278,
0.9071201086044312,
0.670519232749939,
-0.3004917502403259,
0.6980654001235962,
-0.40812939405441284,
0.4328002333641052,
-0.18757027387619019,
0.172833651304245,
... |
Part 1. Definition
In this task, you need to provide the correct option for a given problem from the provided options.
Part 2. Example
Problem: jo ' s collection contains us , indian and british stamps . if the ratio of us to indian stamps is 6 to 2 and the ratio of indian to british stamps is 5 to 1 , what is the rati... | d | 7 | NIv2 | task1421_mathqa_other | fs_opt | [
-0.16630348563194275,
0.44887682795524597,
-0.21841110289096832,
-0.25625768303871155,
0.05328007787466049,
-0.3434262275695801,
0.37097012996673584,
0.8664230108261108,
0.2556101679801941,
-0.3518141806125641,
0.17203237116336823,
0.6010165214538574,
-0.18289555609226227,
-0.4439283013343... |
Teacher:You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Polish.
Teacher: Now, understand the problem? Solve this instance: ماذا يفعل ؟
Student: | Co ona robi? | 6 | NIv2 | task1107_ted_translation_ar_pl | zs_opt | [
-0.8990710973739624,
1.1323527097702026,
0.2517140805721283,
-0.7388327121734619,
-0.2714981734752655,
0.4227694272994995,
1.064494013786316,
-0.08482574671506882,
0.6252304315567017,
-0.03021591529250145,
-0.3958197832107544,
-0.09549203515052795,
-0.7600173950195312,
-0.41438043117523193... |
Q: In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write an implausible POS tag to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. Here is the Alphabetical list of part-of-speech tags used in this task:... | DT | 7 | NIv2 | task347_hybridqa_incorrect_answer_generation | zs_opt | [
0.38491755723953247,
0.49906057119369507,
-0.42347103357315063,
0.8682006597518921,
-0.2765951156616211,
-1.035507082939148,
0.5588661432266235,
0.6928304433822632,
-0.34852173924446106,
0.16040295362472534,
-0.48409804701805115,
0.37208807468414307,
-0.24810610711574554,
-0.16274586319923... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given an article. Your task is to summarize the article in a sentence.
Just who is Ireland's #PintBaby?
Last week, a 20-year-old clip of a Guinness-guzzling toddler sitting on his mother's lap surfaced on social media.
T... | It's the viral mystery that has captivated social media from Belfast to Blarney, and generated its own hashtag. | 1 | NIv2 | task1290_xsum_summarization | zs_opt | [
0.0711478441953659,
0.5207310914993286,
-0.40276792645454407,
-0.12745895981788635,
0.17938180267810822,
0.6207972764968872,
0.2004830539226532,
0.9640920758247375,
-0.21037328243255615,
0.4373568594455719,
0.5047577023506165,
0.8294952511787415,
-1.1713324785232544,
0.31212228536605835,
... |
In this task, you're given four sentences of a story written in natural language. The given story is not complete and your job is to complete the story by selecting one of the end sentence choices from (A) and (B), such that the story does not sound complete and coherent, i.e., select an incorrect end sentence.
[EX Q]... | B
| 6 | NIv2 | task297_storycloze_incorrect_end_classification | fs_opt | [
0.4859999120235443,
0.2308196723461151,
-0.36339282989501953,
-0.21348151564598083,
-0.28247806429862976,
-0.8971446752548218,
0.8653790950775146,
1.1181588172912598,
-0.8510246872901917,
-0.24393495917320251,
-0.4650673270225525,
-0.02938179299235344,
0.022889697924256325,
-0.179204449057... |
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 t... | Yes | 6 | NIv2 | task1204_atomic_classification_hinderedby | zs_opt | [
0.6426110863685608,
0.21223661303520203,
0.3797348141670227,
-0.43944647908210754,
-0.185875803232193,
-1.07950758934021,
0.11231139302253723,
0.36329299211502075,
-0.4466480016708374,
-0.19180208444595337,
-0.5661001205444336,
-0.6929473280906677,
-0.26267939805984497,
-0.4684941172599792... |
Read the passage and find if the passage agrees, disagrees, or has a neutral stance on whether Global warming is caused by human activities. Answer only with keyword (a) agrees - if passage agrees with the target (b) disagrees - if passage disagrees with the target (c) neutral - if the given passage neither agrees nor ... | neutral | 8 | NIv2 | task890_gcwd_classification | fs_opt | [
0.2261267751455307,
0.6554279327392578,
-0.5962704420089722,
-0.0052867974154651165,
0.17877626419067383,
-1.0923447608947754,
0.04171498492360115,
0.049606822431087494,
0.49210402369499207,
0.02147199586033821,
-0.18962039053440094,
-0.44534265995025635,
-0.3262467682361603,
0.35366976261... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
Q: ¿Cuántos de nosotros volamos hasta aquí?
A: | כמה מאיתנו כאן טסו? | 9 | NIv2 | task1229_ted_translation_es_he | zs_opt | [
-0.34714582562446594,
0.826337993144989,
0.18521443009376526,
-1.0225738286972046,
-0.37965571880340576,
0.13137218356132507,
0.38592255115509033,
-0.028913546353578568,
0.8577679395675659,
-0.11466142535209656,
-0.5218488574028015,
0.6699899435043335,
-1.2648365497589111,
-0.3324465751647... |
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