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 |
|---|---|---|---|---|---|---|
Teacher: In this task, you are given two sentences. Your task is to classify the given sentences as "Yes" if they have same meaning; otherwise, classify them as "No".
Teacher: Now, understand the problem? If you are still confused, see the following example:
Sentence-1: I'm looking forward to it.<sep>Sentence-2: I did... | Yes | 2 | NIv2 | task566_circa_classification | fs_opt | [
-0.4117316007614136,
0.07925919443368912,
0.37943947315216064,
0.08878962695598602,
0.2467155158519745,
-0.6490848064422607,
0.1738099455833435,
1.2110154628753662,
0.16873863339424133,
0.20424023270606995,
-0.26209232211112976,
-0.24718227982521057,
-0.6545660495758057,
-0.453597784042358... |
Detailed Instructions: Given a simple high-school level math question, you are required to solve it and provide the final answer. The final answer is always a single number. These questions can range from a variety of topics like simple arithmetic, solving equations, converting a quantity from one unit to another, find... | 300 | 4 | NIv2 | task835_mathdataset_answer_generation | fs_opt | [
-0.24909372627735138,
0.09348341822624207,
-0.45892584323883057,
-0.6239690184593201,
0.2953975200653076,
-0.13593445718288422,
0.6772627830505371,
0.6326216459274292,
-0.16645556688308716,
-0.27136459946632385,
-0.798418402671814,
0.41527920961380005,
-0.21943029761314392,
0.0669405534863... |
The input is a tweet which can be Hate Speech, Offensive or Normal tweet. Hate Speech and Offensive tweets target one community. Given such a tweet, output the community targeted in the tweet. The community will be one of the nine values: 'African', 'Islam', 'Jewish', 'Women', 'Refugee', 'Arab', 'Caucasian', 'Hispanic'... | Refugee
| 0 | NIv2 | task1503_hatexplain_classification | fs_opt | [
0.0036872841883450747,
0.5365769863128662,
0.22400566935539246,
0.8342992067337036,
-0.3825703263282776,
-0.4672307074069977,
-0.057137444615364075,
1.174094557762146,
0.4828363358974457,
0.4438229203224182,
-0.40885064005851746,
0.08378145843744278,
-0.5274677276611328,
-1.243845701217651... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Polish.
Let me give you an example: ایلان: درسته. این مهمه که بخش های راکت بتونند برگردند و بتونند به سایت پرتاب برگردند و اماده پرتاب باشند در عرض چند ساعت.
The answer to this example can be: EM: Owszem. Ważne jest by rakieta mogła ... | Czas opuścić kapsułę, jeśli masz odwagę. | 8 | NIv2 | task1272_ted_translation_fa_pl | fs_opt | [
-0.13844211399555206,
1.017918348312378,
0.3817014992237091,
-0.05842535197734833,
-0.7511008977890015,
-0.6067056059837341,
1.3021483421325684,
-0.21521475911140442,
-0.14909617602825165,
-0.58009934425354,
-0.8815402388572693,
0.9772721529006958,
-0.6603786945343018,
0.2500527501106262,
... |
You are given a sentence in English. Your job is to translate the English sentence into Persian.
Q: So I'm going to end here with a short video clip that sort of brings all this together.
A: | پس می خواهم با یک کلیپ ویدئویی کوتاه خاتمه دهم که کمابیش شامل همه اینها می شود. | 4 | NIv2 | task1093_ted_translation_en_fa | zs_opt | [
-0.6879363059997559,
0.7563502788543701,
-0.14671170711517334,
-0.16399061679840088,
-0.9034417867660522,
-0.1027316004037857,
0.541085958480835,
1.3863685131072998,
-0.21922622621059418,
0.17241708934307098,
0.7141649723052979,
0.3288235068321228,
0.3022027611732483,
0.24489860236644745,
... |
In this task, you're given an open-domain question. Your task is to provide an answer to the given question. There is only one unique answer for each question. Your answer should be short, and refer to an entity, date, number, etc. Do not put your answer in the context of a sentence.
Input: Consider Input: Who is pyra... | Output: Ewan McGregor
| 2 | NIv2 | task669_ambigqa_answer_generation | fs_opt | [
0.22034940123558044,
0.5160970091819763,
-0.5098667144775391,
0.002908504568040371,
-0.5013418197631836,
-0.18377697467803955,
0.8499435186386108,
-0.14141160249710083,
0.34119099378585815,
-0.11892767995595932,
-0.34363311529159546,
-0.283764123916626,
-0.5726538896560669,
-0.151906996965... |
Given a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact
[Q]: English sentence: (2016), are reported in chapter 10 of Mayer-Schönberger and Cukier (2013) whereby New York City was able to use predictive modeling to produce large gains in the prod... | On n'akụkụ nke ọzọ anyị na-ahụ gantry akpa nke ụdị n'ịnyịnya site ukara Yamaha.
| 5 | NIv2 | task452_opus_paracrawl_en_ig_translation | fs_opt | [
-0.3568374514579773,
0.4265940189361572,
-0.45102572441101074,
0.10663098096847534,
0.509076714515686,
-1.3406827449798584,
0.4391583502292633,
0.835738480091095,
0.4389045238494873,
0.4034682512283325,
-0.5300188064575195,
0.6262814402580261,
-1.2603676319122314,
0.2058643400669098,
-0.... |
Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
The 2002 Winter Olympics were held in which city?
2002 winter olympics
Who married the woman who was to become Queen Beatrix of the Netherlands, on 10 March 1966?
beatrix
Which constellation, t... | cancer
| 0 | NIv2 | task899_freebase_qa_topic_generation | fs_opt | [
0.1885441243648529,
0.5171085596084595,
-0.8615213632583618,
0.5852344632148743,
-0.331625759601593,
0.02730586752295494,
-0.3611142933368683,
0.16109484434127808,
0.758866548538208,
-0.681198239326477,
-0.5033520460128784,
1.5889363288879395,
-0.8668842911720276,
0.2895662784576416,
0.5... |
Given the task definition and input, reply with output. In this task, you are given two simple actions (associated with "A", "B"). You must identify which action is considered less ethical. Do not generate anything else apart from one of the following characters: 'A', 'B'.
(A) accidentally cutting infront of others bu... | A | 5 | NIv2 | task106_scruples_ethical_judgment | zs_opt | [
-0.4789763391017914,
0.6956024169921875,
0.2959497272968292,
0.06584067642688751,
-0.5170863270759583,
-0.15360267460346222,
-0.26948851346969604,
0.37737756967544556,
0.2815207839012146,
0.5241409540176392,
-0.8494793176651001,
-0.10077767074108124,
0.6982963681221008,
-0.3573181629180908... |
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 | 9 | NIv2 | task1164_coda19_section_correction_classification | fs_opt | [
0.17926479876041412,
0.20459015667438507,
-0.1614975482225418,
0.13113272190093994,
0.5481288433074951,
-0.3127729296684265,
-0.15891413390636444,
0.823430597782135,
-0.053679317235946655,
0.6081470847129822,
-1.0568956136703491,
0.23417991399765015,
0.028280679136514664,
-0.06590416282415... |
Given the task definition and input, reply with output. 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 "answe... | 107. | 5 | NIv2 | task028_drop_answer_generation | zs_opt | [
0.11003109067678452,
0.5377904772758484,
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0.350044310092926,
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0.7505767345428467,
0.4588415026664734,
0.023959217593073845,
-0.31113240122795105,
-0.6591070890426636,
0.6245645880699158,
-0.20893768966197968,
-0.14208708703517914... |
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... | 98.5.
****
| 4 | NIv2 | task028_drop_answer_generation | fs_opt | [
0.5244656801223755,
0.6432162523269653,
-0.5148741006851196,
-0.22671476006507874,
0.005252245347946882,
-0.007081503979861736,
0.3729740083217621,
0.5237769484519958,
0.23588798940181732,
-0.11405059695243835,
-0.926830530166626,
1.2115834951400757,
-0.6019096374511719,
-0.191455006599426... |
Given a sentence in Tagalog language, translate the sentence to English language keeping the meaning of the original sentence intact.
Q: Tagalog sentence: Siya ang nagpasya na siya disliked nakatira sa tulad ng isang kapaligiran at tumingin para sa mga posisyon sa England para sa kanyang sarili at sa kanyang asawa.
A... | 9 "Six days you shall labor and do all your work,
****
| 4 | NIv2 | task451_opus_paracrawl_tl_en_translation | fs_opt | [
0.29591497778892517,
0.6414843797683716,
-0.08489596098661423,
-0.6691779494285583,
0.4014395475387573,
-1.0198193788528442,
0.4056045711040497,
0.05331452190876007,
0.05474717170000076,
0.15936271846294403,
-0.19386740028858185,
0.5887003540992737,
-0.9690174460411072,
-0.1481720060110092... |
In this task, you will be shown a conversation and a question. You need to write an implausible answer to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. "W" and "M" in the conversations stand for "woman" and "man".
--------
Question: W: What's your major? M: Hotel mana... | Modeling for a world-famous Italian company.
| 7 | NIv2 | task283_dream_incorrect_answer_generation | fs_opt | [
-0.03442802280187607,
0.12907648086547852,
-0.4530339241027832,
-0.4056429862976074,
0.5085763931274414,
0.1971088945865631,
-0.1780054271221161,
0.7825767397880554,
0.21977192163467407,
0.21511854231357574,
0.020210586488246918,
0.6555293202400208,
-0.027287835255265236,
0.072929240763187... |
In this task you are given a story and a question regarding that story. You must judge whether the question is answerable based on the info given to you. Label the instances as "Answerable" or "Not Answerable" based on your judgment. the story and the question are separated by a new line character.
Example: Bob was a c... | Solution: Not Answerable | 5 | NIv2 | task290_tellmewhy_question_answerability | fs_opt | [
-0.14462806284427643,
-0.2391958236694336,
0.7356396913528442,
0.16780856251716614,
-0.5125190019607544,
-0.6685535311698914,
0.4513434171676636,
0.5822712182998657,
0.5908743143081665,
0.23633341491222382,
-0.6715992093086243,
-0.28085294365882874,
0.11814644932746887,
-0.1038913875818252... |
In this task, you will be presented with a question having multiple possible answers in Polish language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Question: Gdzie raczej nie znajdziesz łóżka?
Options: A pokój hotelowy B Szpital C strefa wypoc... | C | 0 | NIv2 | task1140_xcsr_pl_commonsense_mc_classification | zs_opt | [
-0.028773218393325806,
0.8356907963752747,
-0.5349833965301514,
-0.16466005146503448,
-0.3175176978111267,
-0.2767077088356018,
0.5318723917007446,
-0.5129837393760681,
0.3634529113769531,
-0.44402486085891724,
0.3434574007987976,
0.9092079401016235,
-0.24216629564762115,
-0.48757904767990... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Galician.
Q: Y aquí viene la primera caja.
A: | Aquí chega a primeira caixa. | 4 | NIv2 | task1100_ted_translation_es_gl | zs_opt | [
-0.0157003216445446,
1.1208600997924805,
-0.09649275243282318,
-0.7823172807693481,
-0.17497768998146057,
-0.9984856247901917,
-0.27290838956832886,
1.1421940326690674,
-0.10708407312631607,
-0.2839820981025696,
0.15428179502487183,
0.11803668737411499,
-0.6769422292709351,
0.2025232315063... |
Detailed Instructions: In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every odd number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no odd numbers in ... | [-1517, -189, 1395, 897, -999999, -25, -31, -25, -35] | 9 | NIv2 | task852_synthetic_multiply_odds | zs_opt | [
-0.4535571038722992,
0.3378255367279053,
-0.4455491304397583,
-0.5048110485076904,
0.1537313461303711,
-0.19200128316879272,
1.349494218826294,
-0.0348687469959259,
-0.01952255144715309,
-0.03891034796833992,
-0.6259272694587708,
-0.09256218373775482,
-0.5287073850631714,
0.095669060945510... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence and a question. You're expected to write the correct answer based on the sentence.
Sentence: A bed sheet is more flexible then a wooden board. Question: Which item is less likely to break if bent?
Output: | bed sheet | 1 | NIv2 | task1382_quarel_write_correct_answer | zs_opt | [
0.2773534655570984,
1.13953697681427,
-0.8669053912162781,
-0.30524879693984985,
-0.08116509020328522,
-0.44188839197158813,
0.07605467736721039,
0.5584092140197754,
0.7580559253692627,
-0.20876848697662354,
-0.41811078786849976,
-0.04667307436466217,
-0.5209693908691406,
0.124839872121810... |
In this task, you're given a fill-in-the-blank question that contains two object names. Additionally, you're given one answer which is one of the objects present in the question. In this task, you need to minimally change the given question so that the answer flips to another object in the question. Remember the questi... | The father had to provide for them, but his job didn't give him the time or money. The _ mattered less to him. | 8 | NIv2 | task034_winogrande_question_modification_object | fs_opt | [
0.832750678062439,
0.16631397604942322,
0.06481415033340454,
-0.15017983317375183,
0.6784064173698425,
-0.8396205902099609,
0.8294711112976074,
1.0963950157165527,
-0.7256156802177429,
-0.2587980628013611,
-0.4331364929676056,
0.15170657634735107,
-0.4433233141899109,
0.08237987011671066,
... |
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).
--------
Question: Since then, there have been a number of schools burnt by s... | पुलिस ने हडसन को लगभग 180 सेमी लंबा बताया, छोटे भूरे बाल थे और उसने गहरे रंग का ट्रैक सूट और गहरे रंग की डेनिम जीन्स पहनी थी।
| 7 | NIv2 | task432_alt_en_hi_translation | fs_opt | [
-0.2516127824783325,
-0.24683713912963867,
0.4515305757522583,
-0.20960074663162231,
-0.01103450171649456,
-0.649073600769043,
0.36216670274734497,
0.4440010190010071,
-0.09757956862449646,
0.12598726153373718,
-0.23742112517356873,
0.12309049069881439,
0.04888816177845001,
0.0920853018760... |
Detailed Instructions: You are given an amazon food product review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False".
Q: I ORDERED KETTLE CHIPS IN THE FOLLOWING FLAVVORS SALT & FRESH GROUND PEPPER TUSCAN 3 CHEESE N.Y. CHEDD... | True | 9 | NIv2 | task587_amazonfood_polarity_correction_classification | zs_opt | [
-0.6329907774925232,
-0.6295447945594788,
0.19348931312561035,
-0.019329749047756195,
-0.031711094081401825,
-0.46074801683425903,
0.5724543333053589,
0.28315821290016174,
0.06776966899633408,
-0.03174362704157829,
0.09715759754180908,
-0.06562315672636032,
-0.4216577410697937,
-0.21498911... |
Definition: In this task, you will be presented with a premise and a hypothesis sentence. Determine whether the hypothesis sentence entails (implies), contradicts (opposes), or is neutral with respect to the given premise. Please answer with "Contradiction", "Neutral", or "Entailment".
Input: Premise: Justin Tinucci is... | Neutral | 2 | NIv2 | task1386_anli_r2_entailment | zs_opt | [
-1.1916861534118652,
0.37462326884269714,
-0.3755807876586914,
0.36771029233932495,
0.3992708623409271,
-0.41388237476348877,
0.1776716709136963,
0.00535923708230257,
0.3216722309589386,
0.3865417242050171,
-0.26519161462783813,
0.1257486343383789,
-0.7721569538116455,
-0.489976704120636,
... |
Detailed Instructions: 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.
Q: Mina damer och herrar! Avsevärd... | Swedish | 9 | NIv2 | task315_europarl_sv-en_language_identification | zs_opt | [
-0.047731831669807434,
0.708747148513794,
0.7492416501045227,
-0.39415353536605835,
0.27677321434020996,
-0.5087628364562988,
0.3034053444862366,
0.46087411046028137,
0.2532516121864319,
0.056564539670944214,
-0.37144923210144043,
0.17887616157531738,
-0.12640219926834106,
-0.8681601881980... |
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.
Q: Title: Cats and Rain. Sentence 1: The cat ran up to the door and yowled for someone to open it. Sentence 2: He s... | His owners found him there asleep hours after the rain ended. | 4 | NIv2 | task216_rocstories_correct_answer_generation | zs_opt | [
-0.12540724873542786,
1.719598650932312,
-0.24987249076366425,
0.16710519790649414,
-0.16261811554431915,
-0.3027545213699341,
0.033986955881118774,
0.45755285024642944,
-0.5086489915847778,
-0.07027310132980347,
-0.5211897492408752,
0.5175799131393433,
-0.9323297739028931,
0.1652518212795... |
Definition: Given an abstract, generate a keyword (a noun phrase) that best describes the focus or contribution of the paper. Such keywords can be directly from the given abstract or outside it.
Input: Abstract: In the course of characterizing monoclonal antibodies (MAbs) recognizing cell surface antigens on dispersed ... | Adenoma | 2 | NIv2 | task620_ohsumed_medical_subject_headings_answer_generation | zs_opt | [
0.8492083549499512,
0.1825324445962906,
-0.8304425477981567,
-0.12124153226613998,
0.2810284197330475,
-0.7377433776855469,
0.6511718034744263,
0.8542196750640869,
0.4637655019760132,
0.451744019985199,
-1.139610767364502,
0.01786748692393303,
-0.3423413038253784,
0.3501477837562561,
0.5... |
Q: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal.
Here are the deficatio... | superlative | 7 | NIv2 | task212_logic2text_classification | zs_opt | [
0.30442383885383606,
-0.37542787194252014,
-0.35025572776794434,
0.32464250922203064,
0.38399505615234375,
-0.6858845949172974,
0.7429336309432983,
0.6187050342559814,
0.6556649208068848,
0.032591357827186584,
-0.14090728759765625,
0.22533391416072845,
-0.06990063190460205,
0.5115682482719... |
Instructions: Generate an appropriate single-sentence summary for the given text such that it includes the main topic of the text.
Input: Rodrigo Borda, 39, and Sergio Miranda, 45, said it was a day of much joy and emotion, but also of responsibility. President Jose Mujica signed the legislation in May, but it took 90 ... | Two gay men who have been a couple for 14 years have become the first to register to marry in Uruguay, hours after a law came into force allowing same-sex marriages in the country. | 3 | NIv2 | task1357_xlsum_summary_generation | zs_opt | [
0.3849397599697113,
0.36042410135269165,
-0.5778406858444214,
-0.5949676036834717,
0.23792865872383118,
-0.0060317013412714005,
0.5342289209365845,
1.151741623878479,
-0.8481884598731995,
-0.30245447158813477,
-0.3776419460773468,
0.8147133588790894,
-0.31083792448043823,
0.187571734189987... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a text from tweets and a boolean question whether this tweet has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answe... | yes | 1 | NIv2 | task196_sentiment140_answer_generation | zs_opt | [
-0.8098859786987305,
0.15726810693740845,
0.5557670593261719,
0.45321622490882874,
0.2979595959186554,
-0.972990870475769,
-0.2933066785335541,
0.7565207481384277,
0.04299604892730713,
-0.15856045484542847,
-0.11206451058387756,
-0.7222638130187988,
-0.527491569519043,
-0.16992723941802979... |
In this task, you are given Yelp reviews. The task is to classify a review as "POSITIVE" if the overall sentiment of the review is positive or as "NEGATIVE" if the overall sentiment of the review is negative.
[EX Q]: Fast, affordable, and yummy. Gave it a 4 because I'm curious about how long the food rotates. If your ... | NEGATIVE
| 6 | NIv2 | task475_yelp_polarity_classification | fs_opt | [
-1.553985595703125,
0.4306095242500305,
-0.04645361751317978,
0.07237716019153595,
0.5716058015823364,
-0.237657830119133,
0.5083150863647461,
0.22486762702465057,
0.39512181282043457,
0.0030648414976894855,
0.2721526026725769,
0.0039954762905836105,
-0.7019314169883728,
0.0315791666507720... |
You will be given a definition of a task first, then some input of the task.
This task involves creating questions from a given passage that involve some kind of complex reasoning (including numerical reasoning).
The generated questions must require looking at more than one part of the passage to answer. Try to use a ... | How many games of their last six games have the Buccaneers lost? | 1 | NIv2 | task026_drop_question_generation | zs_opt | [
0.4691885709762573,
0.09422525018453598,
0.07589765638113022,
0.677638590335846,
0.21851778030395508,
-0.22331205010414124,
0.31987375020980835,
0.6163160800933838,
0.20796336233615875,
-0.13481950759887695,
-0.8890159726142883,
0.200109601020813,
-0.2773088216781616,
0.04704456031322479,
... |
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].
One example: Verify if the sentiment of the following document towards the entity Bill Clinton is Negative. B... | no | 6 | NIv2 | task422_persent_sentence_sentiment_verification | fs_opt | [
-1.114330530166626,
0.16067594289779663,
1.02340567111969,
0.3921642303466797,
0.19982796907424927,
-2.0415568351745605,
0.5716495513916016,
0.4410407543182373,
0.4424653947353363,
0.3942025899887085,
0.043797366321086884,
-0.15333685278892517,
-0.5786678194999695,
-0.4241529703140259,
0... |
Given the task definition and input, reply with output. You are given an amazon food product review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False".
I am on a low carb diet and have lost 25 pounds. I was so tired of eat... | True | 5 | NIv2 | task587_amazonfood_polarity_correction_classification | zs_opt | [
-0.2833338975906372,
-0.26138949394226074,
0.3723853826522827,
0.12174755334854126,
-0.1439727246761322,
-0.12005610018968582,
0.9657829999923706,
0.20331424474716187,
0.38663166761398315,
0.10671539604663849,
-0.2331513613462448,
0.006819023285061121,
-0.6735799908638,
-0.2700749635696411... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Combine the given two facts to write a concluding fact. Note that there should be some parts of the first and second facts that are not mentioned in this conclusion fact. Your combined fact should be... | animals use shelter in hot temperatures. | 0 | NIv2 | task038_qasc_combined_fact | fs_opt | [
0.0716235488653183,
0.7787767052650452,
-0.8054754734039307,
0.3989224135875702,
-0.34966185688972473,
-1.1704894304275513,
-0.1205659881234169,
1.2426507472991943,
-0.5460928082466125,
0.032546333968639374,
-1.1898133754730225,
0.5011656284332275,
-0.38307929039001465,
-0.0139805786311626... |
Teacher: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.
Teacher:... | can | 6 | NIv2 | task039_qasc_find_overlapping_words | zs_opt | [
0.3928641378879547,
1.0197240114212036,
0.479364812374115,
-0.7170140743255615,
0.15322166681289673,
-0.630803108215332,
0.7171609401702881,
0.34242790937423706,
0.1469484567642212,
-0.8522036075592041,
-0.44033437967300415,
0.05247953161597252,
-0.9124704003334045,
0.020229443907737732,
... |
Detailed Instructions: The task is to write a full sentence or two using all of the information given. The sentence(s) will be a brief review of a restaurant. Use all of the information provided.
Problem:name[xname], cuisine[Fast Food], price[more than £30], rating[high], location[city centre]
Solution: | In the centre city area, there is xname, a moderately priced fast food restaurant. | 8 | NIv2 | task1598_nyc_long_text_generation | zs_opt | [
-0.7452792525291443,
0.6738922595977783,
-0.46216097474098206,
-0.547285258769989,
-0.2734852433204651,
0.21042269468307495,
0.2048179805278778,
0.8001435995101929,
0.20204971730709076,
-0.6700486540794373,
0.5399896502494812,
-0.1931808888912201,
-0.861416220664978,
-0.13726191222667694,
... |
Q: In this task, you will be presented with a question, a word, and a POS tag. You have to determine whether the part-of-speech tag of the given word in the question is equal to the given POS tag or not. Give your answer with True or False. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coo... | True | 7 | NIv2 | task346_hybridqa_classification | zs_opt | [
-0.32614824175834656,
-0.41901397705078125,
-0.2687530517578125,
0.8587496876716614,
-0.14838865399360657,
-0.37889426946640015,
0.5781196355819702,
0.6009280681610107,
-0.44907426834106445,
0.09815531969070435,
-0.4240872263908386,
-0.2841116189956665,
0.0586533360183239,
-0.1460012197494... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian.
Example: 父が医師だったので父に担当してもらえるという大きな利点がありました父は母に見事な治療を施しました
Example solution: Mio padre è medico. Ed è stato un grande vantaggio per noi. Si è occupato di lei in modo fantastico.
Example explanation: The Japanese sentence i... | Solution: E se volete essere ancora più specifici, si può arrivare a specifici CAP. | 5 | NIv2 | task1096_ted_translation_ja_it | fs_opt | [
-0.13969331979751587,
0.19186300039291382,
-0.41362088918685913,
-0.42182618379592896,
-0.02162412367761135,
-1.0730478763580322,
0.6321150064468384,
0.761961817741394,
0.44128453731536865,
-0.4908173680305481,
-0.7563921213150024,
0.6850368976593018,
-0.6353714466094971,
0.244363099336624... |
Q: In this task, you're given context and an answer. Your task is to generate the question for this answer based on the given context with commonsense reasoning about social situations..
Context: Taylor derived their opinion from the fact that they were usually correct in their assessments.
Answer: listen to their in... | What will Taylor want to do next? | 7 | NIv2 | task581_socialiqa_question_generation | zs_opt | [
0.20716498792171478,
0.9023599028587341,
-0.17371943593025208,
-0.2518064081668854,
0.3161746561527252,
-1.1566824913024902,
0.2271426022052765,
0.2642569839954376,
0.910851240158081,
0.3736018240451813,
-0.12532919645309448,
-0.12125398218631744,
-1.2494449615478516,
-0.35940489172935486,... |
Teacher: In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A preceding the last i elements. i will always have a value less than the length of A.
Teacher: Now, understand the problem? If you are still confused, see the following example:
3, ['a', '34... | 57, 3847, e, T, v, L, 8861, c, o, 9947, G, S, H, 6611, 3551, M, 6915 | 2 | NIv2 | task078_all_elements_except_last_i | fs_opt | [
0.29218512773513794,
-0.11547034978866577,
-0.38258498907089233,
-0.9694397449493408,
0.13031819462776184,
-0.7184252738952637,
0.35456031560897827,
0.7803182601928711,
-0.6281991004943848,
-0.01909763738512993,
-0.46654292941093445,
0.1665976345539093,
0.0635993629693985,
0.15935853123664... |
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: CC... | NN
****
| 4 | NIv2 | task347_hybridqa_incorrect_answer_generation | fs_opt | [
0.5269837379455566,
0.634333074092865,
-0.3607613146305084,
0.6182022094726562,
0.15980540215969086,
-0.5956875085830688,
0.6658729314804077,
0.6141026020050049,
-0.3800603151321411,
-0.46593567728996277,
-0.4167981445789337,
0.8801780939102173,
-0.4502222537994385,
0.31788530945777893,
... |
Detailed Instructions: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
See one example below:
Pro... | Threat | 4 | NIv2 | task322_jigsaw_classification_threat | fs_opt | [
-0.48768049478530884,
0.4624280035495758,
0.8543060421943665,
0.20885556936264038,
0.0903720110654831,
-0.7309139966964722,
0.5510231852531433,
0.6573574542999268,
-0.07951654493808746,
0.34072640538215637,
0.5070701837539673,
0.03511383384466171,
-0.7703672647476196,
-0.5912734866142273,
... |
Given a sentence in English language, translate the sentence to Tagalog language keeping the meaning of the original sentence intact.
Example input: English sentence: Roger Federer was the first player to win 20 Grand Slams
Example output: Si Roger Federer ang unang manlalaro na nanalo ng 20 Grand Slams
Example explan... | Saan ginagawa ang Bustural na krema? | 3 | NIv2 | task448_opus_paracrawl_en_tl_translation | fs_opt | [
-0.31888437271118164,
0.30829036235809326,
-0.11071225255727768,
-0.298748254776001,
0.02117643505334854,
-0.8020316362380981,
0.26103952527046204,
0.39054256677627563,
0.3180497884750366,
-0.2874809205532074,
0.009801123291254044,
0.6722290515899658,
-1.0439611673355103,
-0.87612181901931... |
In this task, you are given a sentence in the English language and your task is to convert it into the Swedish language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
[EX Q]: In Reunion, for example, the rate is 37%.
[EX A]: La Réunion har e... | Jag känner ändå en viss oro när jag lyssnar till kommissionären jämfört med de åtaganden som gjorts av enheterna inom budgetutskottet.
| 6 | NIv2 | task313_europarl_en_sv_translation | fs_opt | [
0.03343845158815384,
0.607517659664154,
-0.04531339555978775,
-0.5498580932617188,
-0.1967516541481018,
0.026517421007156372,
1.4435150623321533,
0.7338768839836121,
0.49295416474342346,
0.2061217725276947,
-0.04815702140331268,
0.7133991718292236,
-0.4390326142311096,
0.2370876669883728,
... |
Detailed Instructions: In this task you are given a Chinese paragraph related to criminal cases, your job is to give an answer to what the criminal's name is.
See one example below:
Problem: 昌宁县人民检察院指控，2014年4月19日下午16时许，被告人段某驾拖车经过鸡飞乡澡塘街子，时逢堵车，段某将车停在“冰凉一夏”冷饮店门口，被害人王某的侄子王2某示意段某靠边未果，后上前敲打车门让段某离开，段某遂驾车离开，但对此心生怨愤。同年4月21日22时许... | 余某某 | 4 | NIv2 | task1666_cail2018_answer_generation | fs_opt | [
0.286393404006958,
0.20885604619979858,
-0.3725493550300598,
-0.4584354758262634,
-0.07109678536653519,
0.14203056693077087,
0.5771443247795105,
0.9022560119628906,
-0.5014132261276245,
0.4555794298648834,
-0.3735102415084839,
0.3968193531036377,
-0.8341420888900757,
0.046928953379392624,
... |
Given the task definition and input, reply with output. In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in... | I want(s) fun >Motivates> I have a frisbee | 5 | NIv2 | task747_glucose_cause_emotion_detection | zs_opt | [
-0.4868079721927643,
0.5004650354385376,
-0.3782457709312439,
0.47263431549072266,
-0.7642416954040527,
-0.8124140501022339,
0.5179858207702637,
0.4968102276325226,
-0.40852904319763184,
-0.48475509881973267,
-0.8175055980682373,
-0.013886604458093643,
-0.3343515396118164,
0.25324565172195... |
Part 1. Definition
This task is about translating a given Yoruba language sentence to English.
Part 2. Example
Lóde òní gbajúbajà ni àwọn àṣẹ CC lórí ayélujára tí àwọn oníṣẹ́-ọpọlọ jákèjádò ilé-ayé sì ń lò wọ́n fún èyí-ò-jọ̀yìí nǹkan tí o kò lérò.
Answer: Today CC licenses are prevalent across the web and are used by c... | The convention originated from the Olympic Palace, an arena located in Tbilisi, with a peak attendance of 7,002. | 7 | NIv2 | task1686_menyo20k_translation | fs_opt | [
0.010510489344596863,
0.3274831473827362,
-0.897805392742157,
0.353959858417511,
0.1971612125635147,
-0.377464234828949,
-0.01808512583374977,
0.41838935017585754,
0.5909521579742432,
-0.37465494871139526,
-0.4490464925765991,
0.3034256100654602,
-0.8845850825309753,
0.05641023814678192,
... |
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 ("[... | [-323, -111, -151] | 9 | NIv2 | task372_synthetic_palindrome_numbers | zs_opt | [
-0.8606860041618347,
0.22909000515937805,
-0.007146795745939016,
-0.46663743257522583,
-0.4424845576286316,
0.12806887924671173,
0.8196667432785034,
0.1532217264175415,
-0.6065540909767151,
0.7740468978881836,
-0.5308042764663696,
0.02120823599398136,
-0.3842005729675293,
0.064878016710281... |
Teacher:You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
Teacher: Now, understand the problem? Solve this instance: Perché non vi racconto storielle. Vi sottopongo un caso.
Student: | Porque no estoy contándoles un historia. Estoy presentando un caso. | 6 | NIv2 | task1249_ted_translation_it_es | zs_opt | [
-1.0542782545089722,
0.27081260085105896,
0.137470081448555,
-0.33554351329803467,
-0.44280001521110535,
-0.4155209958553314,
0.3421647548675537,
1.3213454484939575,
0.262889564037323,
-0.5050787329673767,
0.38424140214920044,
-0.16299012303352356,
-0.3822113871574402,
-0.5455038547515869,... |
Teacher:In this task, you're given a question, along with three passages, 1, 2, and 3. Your job is to determine which passage can be used to answer the question by searching for further information using terms from the passage. Indicate your choice as 1, 2, or 3.
Teacher: Now, understand the problem? Solve this instanc... | 1 | 6 | NIv2 | task230_iirc_passage_classification | zs_opt | [
0.31353217363357544,
0.06221809610724449,
-0.5393131375312805,
-0.36642521619796753,
0.4882199168205261,
0.3414328396320343,
0.5730825066566467,
0.48027417063713074,
-0.07556942105293274,
0.25557446479797363,
0.03368333727121353,
1.003563642501831,
-0.8906987905502319,
-0.22272327542304993... |
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 find all elements of A from the ith element to the jth element, reverse the order in which they occur, and then concatenate them to output the resultant string. i and j will be non-negative, and will always have a va... | 6515R8813p5613J8727798831476733056607t7021Rl13
| 3 | NIv2 | task101_reverse_and_concatenate_all_elements_from_index_i_to_j | fs_opt | [
-0.026829883456230164,
-0.01886974833905697,
-0.3662061095237732,
-0.00874335877597332,
-0.15662026405334473,
-0.8517707586288452,
0.3516803979873657,
0.45650702714920044,
-0.664800226688385,
-0.07460566610097885,
-1.179455280303955,
-0.14617666602134705,
-0.09927717596292496,
0.0070403297... |
Part 1. Definition
In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that does not connect with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, ... | b | 7 | NIv2 | task214_rocstories_incorrect_ending_classification | fs_opt | [
0.5338084697723389,
0.10686445981264114,
-0.30929455161094666,
0.20484288036823273,
0.23305174708366394,
-0.09644651412963867,
0.573196291923523,
0.9932541847229004,
0.32008451223373413,
0.5656272768974304,
-0.9449563026428223,
0.15615049004554749,
-0.413648784160614,
-0.3160390257835388,
... |
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 in Portuguese. Your job is to translate the Portuguese sentence into Spanish.
Podem assim exprimir tudo desde admiração e desejo até ansiedade e angústia.
Solution: Y puede ... | De hecho, estaba tan seguro de que solo podía ser Majnun, poseído por un genio, que cuando se dio cuenta de que aún vivía, su primer impulso fue terminar el trabajo él mismo, saltando desde el acantilado más alto y así escapar del terror de lo que había experimentado poniendo fin a toda la experiencia. | 0 | NIv2 | task1276_ted_translation_pt_es | fs_opt | [
0.14647553861141205,
0.970515251159668,
0.3826477527618408,
-0.6899820566177368,
-0.1569712609052658,
0.053255341947078705,
0.29881227016448975,
1.0000147819519043,
0.41823387145996094,
-0.7287729978561401,
-1.0125823020935059,
-0.2537183165550232,
-0.8261182904243469,
-0.08508243411779404... |
TASK DEFINITION: Find the movie name from the given conversation. If the movie name is not found give output as "unknown"
PROBLEM: ASSISTANT: Do you like movies like the Spotlight?
SOLUTION: Spotlight
PROBLEM: ASSISTANT: What kind of movies do you like? , USER: My favorites are comedy and horror. , ASSISTANT: Why do ... | The Avengers
| 8 | NIv2 | task926_coached_conv_pref_word_generation | fs_opt | [
-0.24383646249771118,
0.20581704378128052,
-0.5038126111030579,
-0.017427098006010056,
-0.6557691097259521,
0.20664921402931213,
1.133139729499817,
-0.17632675170898438,
0.08441668748855591,
-0.5248379707336426,
-0.14112697541713715,
-0.5878087878227234,
-0.7492473125457764,
-0.08514615893... |
TASK DEFINITION: In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e. tagset of thi... | DET
| 8 | NIv2 | task583_udeps_eng_coarse_pos_tagging | fs_opt | [
0.6756975054740906,
0.2742915749549866,
-0.024720685556530952,
0.021053895354270935,
-0.0271461121737957,
-0.4905475378036499,
0.8048785328865051,
0.7315893769264221,
-0.42486026883125305,
-0.32953304052352905,
-0.22231420874595642,
0.10840481519699097,
-0.5403240323066711,
0.4793187975883... |
Given a sentence in German, generate a new German 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 bei... | Die Wirkung der Reinigung Ihrer Kleidung entfernt Flecken.
| 6 | NIv2 | task416_mickey_de_sentence_perturbation_generation | fs_opt | [
-0.7173613905906677,
0.3003431558609009,
0.2713797390460968,
-0.3691500127315521,
0.08692821115255356,
-0.0018439488485455513,
0.5226260423660278,
1.0337605476379395,
0.13295304775238037,
-0.15365111827850342,
-0.19757318496704102,
0.4753630757331848,
-1.0311028957366943,
-0.04753842204809... |
Detailed Instructions: In this task, you are given dialogue, and you have to find the most critical location in the given conversation.
Q: Good Evening! Can you please tell me about Flordia?
Hello, sure I can. Did you know Florida is a peninsula? this means it's surrounded by water on three of four possible sides. To... | Florida | 9 | NIv2 | task578_curiosity_dialogs_answer_generation | zs_opt | [
-0.09137694537639618,
-0.11701637506484985,
-0.2985422611236572,
-0.29012590646743774,
-0.21342913806438446,
0.2483820915222168,
-0.22071674466133118,
1.3931910991668701,
-0.31229156255722046,
-0.023011155426502228,
-0.7156252264976501,
-0.26208776235580444,
-0.3700695037841797,
-0.1534076... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a Reddit post as a text. Your task is to generate a title for this text. The title should start with "TIFU by", followed by a situation that caused humor. The title should contain 7-12 words, ideally.
Text: a brief... | TIFU by breaking my right foot for the fourth time in my life | 1 | NIv2 | task510_reddit_tifu_title_summarization | zs_opt | [
-0.2651832699775696,
0.5707865953445435,
-0.12591686844825745,
0.02125217393040657,
-0.3619229793548584,
-0.07922330498695374,
0.5941810607910156,
0.917768120765686,
0.3632074296474457,
-0.17370638251304626,
-0.041567377746105194,
0.021801242604851723,
-0.7492265105247498,
0.11925014853477... |
Given a post that is a real-life anecdote of a complex ethical situation and an associated claim about its type, verify if the claim is true or not. The claim asks if the posts are historical or hypothetical. The posts are "HISTORICAL" when the author has already done something and they are "HYPOTHETICAL" when the auth... | no
****
| 4 | NIv2 | task501_scruples_anecdotes_post_type_verification | fs_opt | [
0.4126858711242676,
0.33047935366630554,
-0.3978806436061859,
-0.23601284623146057,
0.28046950697898865,
-0.7720308303833008,
0.3607812523841858,
1.1577354669570923,
-0.4495266079902649,
-0.11087650060653687,
0.40793535113334656,
0.9296368360519409,
-0.26154768466949463,
-0.158772647380828... |
In this task, you need to answer the given multiple-choice question on the gain. Gain is the value by which to multiply the input. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Q: Problem: if 10 litres of an oil of rs . 50 per litres be mixed with 5 litres of another oil of rs . 66 per litre then what is the ... | d | 4 | NIv2 | task1419_mathqa_gain | zs_opt | [
0.3799005448818207,
0.08457796275615692,
-0.20455707609653473,
-0.45148229598999023,
-0.3393731117248535,
-0.9351300001144409,
0.6758221983909607,
1.2373095750808716,
0.17881442606449127,
0.01119947899132967,
-0.414215087890625,
-0.45211780071258545,
-0.7817680835723877,
0.1350333988666534... |
Instructions: 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.
In... | vertebrates | 3 | NIv2 | task039_qasc_find_overlapping_words | zs_opt | [
0.20379692316055298,
1.0280132293701172,
-0.05325011909008026,
-0.35107266902923584,
-0.3894237279891968,
-0.41874265670776367,
0.9388580322265625,
0.0506572462618351,
-0.049639347940683365,
-1.0217448472976685,
-0.424196720123291,
0.049434687942266464,
-1.0299770832061768,
0.6093456149101... |
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 | 9 | NIv2 | task1215_atomic_classification_capableof | zs_opt | [
-0.06764668226242065,
0.9743086099624634,
0.6311705112457275,
-0.3659374713897705,
-0.37671875953674316,
-1.0146918296813965,
1.088692307472229,
0.4651705324649811,
-0.21024392545223236,
-0.20020776987075806,
-0.5607462525367737,
-0.4792322516441345,
-0.41679754853248596,
0.579904496669769... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Translation from English to Telugu.
Many strange legends are told of these jungles of India, but none so strange as the story of a small boy named Mowgli.
Solution: అనేకవింతపురాణములు భారతదేశం యొక్క ... | గొంతు బోన్. | 0 | NIv2 | task1330_open_subtitles_en_te_translation | fs_opt | [
-0.2479543685913086,
0.6664969325065613,
-0.3413691818714142,
0.09999425709247589,
-0.10988065600395203,
-0.9948501586914062,
0.12893329560756683,
-0.0868644043803215,
-0.44255462288856506,
-0.45980238914489746,
-0.5112944841384888,
-0.12570801377296448,
-0.6738896369934082,
0.228360489010... |
In this task, you will be presented with a question in Dutch language, and you have to write the named entities from the question if present. B denotes the first item of a phrase and an I any non-initial word. Here is the list of terms used: person names (PER), organizations (ORG), locations (LOC) and miscellaneous nam... | Traviata: B-MISC
| 5 | NIv2 | task1544_conll2002_named_entity_recognition_answer_generation | fs_opt | [
-0.4718647301197052,
0.08740586042404175,
0.4161764681339264,
0.0033546853810548782,
-0.20374245941638947,
-0.3316906690597534,
0.544228196144104,
-0.1450887769460678,
0.26238977909088135,
-0.26283788681030273,
-0.46505701541900635,
0.30781400203704834,
0.4619375169277191,
0.31974387168884... |
Generate an appropriate single-sentence summary for the given text such that it includes the main topic of the text.
[Q]: Ruslan Stoyanov, a member of Kasperksy's investigations team, was arrested in December but news of his apprehension has only just surfaced. He was arrested as part of an investigation into payments... | Pop star Lady Gaga has called for an "harmonious" and "intelligent" response to Donald Trump's presidency.
| 5 | NIv2 | task1357_xlsum_summary_generation | fs_opt | [
0.7421919703483582,
0.12093673646450043,
-0.507616400718689,
-0.550574779510498,
0.3931548595428467,
0.3080384135246277,
0.6594152450561523,
0.9630224108695984,
-0.008204551413655281,
0.3339540958404541,
0.09562194347381592,
0.8934011459350586,
-0.18101783096790314,
0.3313130736351013,
-... |
You will be given a definition of a task first, then some input of the task.
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 t... | Ride from work | 1 | NIv2 | task219_rocstories_title_answer_generation | zs_opt | [
-0.23747700452804565,
0.6931024789810181,
0.2578667998313904,
-0.30636483430862427,
0.6552666425704956,
-0.15346139669418335,
0.25088852643966675,
0.24734735488891602,
-0.09600678086280823,
0.775653064250946,
-0.20356425642967224,
-0.20369774103164673,
-0.06769309937953949,
-0.573749125003... |
Instructions: In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that does not connect with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick ... | b | 3 | NIv2 | task214_rocstories_incorrect_ending_classification | zs_opt | [
-0.142210453748703,
0.881503701210022,
-0.19369900226593018,
-0.06456254422664642,
0.22168806195259094,
0.6002103090286255,
-0.27551645040512085,
0.7809404134750366,
0.14013294875621796,
-0.04993283003568649,
-0.8706861734390259,
0.01925140805542469,
-0.4137108027935028,
-0.092034026980400... |
Given the task definition and input, reply with output. In this task, you are given a sentence in Persian, and your task is to translate it into English.
اين كثافت پليسها را خبر كرده .
| the cocksucker tipped off the cops . | 5 | NIv2 | task659_tep_fa_en_translation | zs_opt | [
-0.24024294316768646,
0.9503880739212036,
-0.14425089955329895,
0.011877037584781647,
-0.918942391872406,
-0.3980746865272522,
0.36362355947494507,
0.40675467252731323,
0.3736712336540222,
-0.1502373218536377,
-0.9660971164703369,
0.6220743656158447,
-0.41847625374794006,
0.221854835748672... |
Given a premise, an initial context, an original ending, and a new ending, the task is to generate the counterfactual context that is aligned with the new ending. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and the second sentence, which is the initial context, provide... | The fact that he didn't live near other houses didn't help.
| 1 | NIv2 | task270_csrg_counterfactual_context_generation | fs_opt | [
0.5312858819961548,
0.20567256212234497,
0.07397930324077606,
-0.057102594524621964,
0.1422664374113083,
-1.010646104812622,
0.2668219208717346,
1.2702142000198364,
0.04065141826868057,
0.13702145218849182,
-0.4590679109096527,
-0.15574148297309875,
-0.17632201313972473,
-0.099130347371101... |
Q: In this task, you're given a context, a question, three options, and an answer. Your task is to classify whether the given answer is correct or not by providing 'Yes' or 'No', based on the context with commonsense reasoning about social situations.
Context: Jesse took the books back to the store when she realized sh... | No | 7 | NIv2 | task579_socialiqa_classification | zs_opt | [
-0.443600058555603,
0.1561860740184784,
0.39104151725769043,
0.43771710991859436,
0.30073082447052,
-0.3118499517440796,
0.3878522515296936,
0.38916319608688354,
0.18379473686218262,
0.5978405475616455,
-0.11855491995811462,
-0.16024498641490936,
-0.32980334758758545,
-0.4505355656147003,
... |
Given a scientific passage and an answer, generate a question for the given answer.
Q: Passage: New mitochondria and chloroplasts are produced through a process similar to binary fission . Bacteria also reproduce through binary fission. Answer: binary fission
A: How do bacteria reproduce?
****
Q: Passage: Sulfate min... | What is the term for a mountain-building event?
****
| 4 | NIv2 | task594_sciq_question_generation | fs_opt | [
0.8340515494346619,
0.2549956142902374,
-0.7311309576034546,
-0.08546245843172073,
0.13566192984580994,
-0.767470121383667,
-0.7002871036529541,
0.9011039733886719,
0.02183414250612259,
-0.12037289142608643,
-0.3912564516067505,
0.37878167629241943,
-0.8538240790367126,
-0.0949974656105041... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into English.
Input: Consider Input: O que causou o desmoronamento?
Output: What caused it?
Input: Consider Input: Esta é a forma como os "" nerds "" fazem uma festa.
Output: This is how geeks party.
Input: Consider Input: L... | Output: LC: Hopefully within the next two years.
| 2 | NIv2 | task1274_ted_translation_pt_en | fs_opt | [
-0.5776959657669067,
0.7937292456626892,
0.1916656196117401,
-0.2894623875617981,
-0.20228949189186096,
-0.3064408600330353,
-0.9012378454208374,
0.5410927534103394,
1.0802860260009766,
-0.19367395341396332,
-0.2321348786354065,
0.42451080679893494,
-0.9016827940940857,
-0.2442804276943206... |
In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how they appear in th... | Which object does not have a larger size of the same shape?
****
| 4 | NIv2 | task184_break_generate_question | fs_opt | [
0.6656001210212708,
-0.19258984923362732,
-0.5938047766685486,
0.28147363662719727,
0.3883292078971863,
-0.19890883564949036,
0.8793002367019653,
0.6561840772628784,
-0.5867409706115723,
0.7558473348617554,
-0.4824734926223755,
0.31817975640296936,
0.18457701802253723,
-0.09458497911691666... |
In this task, you're given a story (which contains five sentences only). Your task is to find all the characters which are available in the given story.
Example Input: Sentence1: A friend of ours told us to watch a show called Blippy. Sentence2: It is this odd show on Youtube. Sentence3: It is nothing special, just a ... | I (myself), Professor
| 3 | NIv2 | task292_storycommonsense_character_text_generation | fs_opt | [
0.027067726477980614,
-0.2068302035331726,
0.22455453872680664,
-0.21103686094284058,
0.29611751437187195,
-0.503526508808136,
0.3781995177268982,
1.1743156909942627,
-0.41208919882774353,
0.12855727970600128,
-0.4710828363895416,
0.1942591369152069,
-0.32683008909225464,
-0.69123148918151... |
Q: Given a premise, an initial context, an original ending, and a counterfactual context, the task is to generate a new story ending aligned with the counterfactual context and as close to the original ending as possible. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and... | They found the biggest tree in the park, and the kids scrambled up it. When they got to the top, they realized they'd didn't want to leave. Their mother had to be called to get them out of the tree! | 7 | NIv2 | task269_csrg_counterfactual_story_generation | zs_opt | [
0.7641931772232056,
0.3416116237640381,
0.1812860369682312,
-0.6150795817375183,
-0.07456500828266144,
-0.8174975514411926,
-0.07919257134199142,
1.003145456314087,
0.23402556777000427,
-0.15037347376346588,
-0.6565893888473511,
-0.4467419385910034,
-0.2858017683029175,
0.08320076018571854... |
This task is about translating a given Yoruba language sentence to English.
Q: Marcos Scher ń ta ìwé ìròyìn náà nínú ìdádúró iná adarí ọkọ̀ kí àjákálẹ́ àrùn ó tó bẹ̀rẹ̀. Àwòrán: Charlotte Dafol/ a gba àṣẹ kí a tó lò ó
A: | Marcos Scher selling the paper at traffic lights before the pandemic. Photo: Charlotte Dafol/Used with permission | 4 | NIv2 | task1686_menyo20k_translation | zs_opt | [
1.0403045415878296,
0.29510146379470825,
-0.6694422960281372,
-0.21348071098327637,
-0.010516194626688957,
-0.06735549867153168,
0.1895189881324768,
0.17380282282829285,
0.97481369972229,
-0.18999403715133667,
0.4145665466785431,
-0.16399672627449036,
-0.1278320550918579,
0.650897562503814... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Portugese.
[Q]: אתה. כן. (צחוק) עם השיניים המוזרות. ואתה שלידו. (צחוק) אתם יודעים מי אתם.
[A]: Sim, é mesmo o senhor! (Risos) Dos dentes esquisitos. E, você aí, ao lado dele. (Risos) Vocês sabem quem são.
[Q]: "C" מייצג "מצפוניות,"... | Haryana é um estado com 30 milhões de pessoas.
| 5 | NIv2 | task1114_ted_translation_he_pt | fs_opt | [
-0.9206680059432983,
0.8951162099838257,
0.31997960805892944,
-0.6911711096763611,
-1.0804170370101929,
0.15121990442276,
0.31079649925231934,
0.4688160717487335,
0.7681374549865723,
-0.17504188418388367,
-0.9153745174407959,
0.30304574966430664,
-0.49906474351882935,
0.04904348775744438,
... |
In this task, You are given an amazon food product review and its summary. Your task is to Generate "True" if given review and its summary match, otherwise generate "False".
We've been eating this delightful cereal for several years. My kids always feel better on gluten free foods and so do I. Unlike the popular jun... | False | 0 | NIv2 | task590_amazonfood_summary_correction_classification | zs_opt | [
-0.9332321882247925,
0.5627131462097168,
0.2990158796310425,
-1.157813549041748,
-0.5488333702087402,
-0.6452564001083374,
0.40048542618751526,
0.4092927575111389,
-0.5251064896583557,
-0.39096057415008545,
-0.4089871644973755,
0.05692695081233978,
-0.6486983895301819,
0.05666346848011017,... |
Teacher: In this task, you will be shown a conversation. You need to write a question with three choices for the conversation. Your question should be answerable based on the conversation and only have one correct answer. Note that you don't need to answer your question. "W" and "M" in the conversations stand for "woma... | Where is the conversation taking place? (A) At a hospital. (B) At a clothing store. (C) At an airport. | 2 | NIv2 | task246_dream_question_generation | fs_opt | [
0.3810277581214905,
-0.0413946807384491,
-0.5295295119285583,
-0.019997745752334595,
0.7392274141311646,
-0.5341252684593201,
0.84238600730896,
0.6317116022109985,
-0.4223652482032776,
0.012178875505924225,
-0.3269818425178528,
0.01908891275525093,
0.29511645436286926,
0.06495979428291321,... |
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: CC... | Solution: NN | 5 | NIv2 | task347_hybridqa_incorrect_answer_generation | fs_opt | [
0.22702015936374664,
0.4751158356666565,
0.14672473073005676,
0.5593726634979248,
-0.1778121292591095,
-0.8152754306793213,
0.8069894909858704,
0.6529953479766846,
-0.3936023414134979,
0.1805839091539383,
-0.31541764736175537,
0.42221885919570923,
0.20829248428344727,
0.25781816244125366,
... |
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 | task1202_atomic_classification_xneed | fs_opt | [
0.47607606649398804,
-0.058963801711797714,
0.20410841703414917,
0.17320173978805542,
-0.3085574209690094,
-1.0281803607940674,
0.7395824193954468,
1.1359009742736816,
-0.6093789339065552,
-0.2039947509765625,
-0.6276789903640747,
-0.63494873046875,
-0.32985979318618774,
-0.175302848219871... |
Detailed Instructions: In this task, you are given two lists A,B. Find the longest common subsequence in the lists A and B.
See one example below:
Problem: [5797, 8817, '8297', 'b', 'U', 'b'], [5843, 8809, '8297', 'b', 'W', 'C']
Solution: 8297, b
Explanation: Here, '8297, b' is the longest common subsequence in both th... | x, 3825, r, 1041 | 4 | NIv2 | task605_find_the_longest_common_subsequence_in_two_lists | fs_opt | [
-0.08556609600782394,
-0.19722270965576172,
-0.49980536103248596,
-0.4150187373161316,
-0.04637300968170166,
-0.44489729404449463,
-0.3776295781135559,
0.5423278212547302,
-0.36806613206863403,
-0.0403929203748703,
-1.2285385131835938,
-0.28470295667648315,
0.6609071493148804,
0.1481833457... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronoun... | A dog is near dirty water. | 4 | NIv2 | task189_snli_neutral_to_contradiction_text_modification | zs_opt | [
-0.7661062479019165,
0.5856000185012817,
0.3112281560897827,
-1.278254508972168,
0.012198458425700665,
-0.035199135541915894,
-0.27803775668144226,
0.8154213428497314,
0.4591194689273834,
-0.54142165184021,
-0.612108051776886,
-0.5352149605751038,
-0.6316056847572327,
0.060062043368816376,... |
instruction:
In this task, you are given a question and an answer. Answer "Yes" if the given answer correctly answers the question, otherwise answer "No".
question:
what is the role of heredity, Answer: Heredity is the passing of traits to offspring from its parents or ancestor.
answer:
Yes
question:
how much is jk r... | Yes
| 9 | NIv2 | task1294_wiki_qa_answer_verification | fs_opt | [
0.156936913728714,
0.4474979043006897,
-0.5198298692703247,
0.04701753333210945,
-0.28933924436569214,
-0.07941079884767532,
1.4902129173278809,
0.007417740300297737,
-0.03618856891989708,
-0.11237715929746628,
-0.5857789516448975,
0.12662290036678314,
-1.116626262664795,
-0.03319771215319... |
Given the task definition and input, reply with output. In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additio... | weakener | 5 | NIv2 | task937_defeasible_nli_social_classification | zs_opt | [
-0.6567652225494385,
0.6418450474739075,
0.14921438694000244,
0.29719483852386475,
0.0414138063788414,
-0.369709849357605,
0.7869657874107361,
0.6564607620239258,
0.5890888571739197,
-0.5353936553001404,
-1.5610144138336182,
0.009556698612868786,
-0.39986008405685425,
0.11329344660043716,
... |
Given the task definition and input, reply with output. In this task you will be given a list of numbers and you should remove all duplicates in the list. If every number is repeated in the list an empty list should be returned. Your list should be numbers inside brackets, just like the given list.
[1, 7, 1, 2, 3, 1, ... | [7, 2] | 5 | NIv2 | task097_conala_remove_duplicates | zs_opt | [
-0.3450790047645569,
0.7469669580459595,
-0.1385410875082016,
-0.4041110873222351,
0.26853489875793457,
-0.4748452603816986,
1.061098575592041,
-0.12945041060447693,
-0.3093856871128082,
0.10111148655414581,
-0.9708976745605469,
-0.12127043306827545,
-0.07057353854179382,
-0.19971802830696... |
In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each citing text. The correct ... | holding that 18 usc 1920 the misdemeanor false statement provision of the federal employees compensation act feca preempted 18 usc 1001 because 41 of feca expressly repealed all inconsistent statutes | 4 | NIv2 | task287_casehold_legal_incorrect_answer_generation | zs_opt | [
0.3080814778804779,
-0.40814173221588135,
-0.7836191654205322,
0.665087103843689,
0.4683428108692169,
-1.3664753437042236,
0.27138274908065796,
0.8182884454727173,
-0.6827088594436646,
0.06597886979579926,
-0.18776032328605652,
-0.11518695950508118,
-0.4862953722476959,
-0.0304445233196020... |
Detailed Instructions: We would like you to assess the QUALITY of each of the following argument (discussing Death Penalty) and determine if the argument is Valid or Invalid. A valid argument is clearly interpretable and either expresses an argument, or a premise or a conclusion that can be used in an argument for the ... | Valid | 8 | NIv2 | task149_afs_argument_quality_death_penalty | zs_opt | [
0.47231781482696533,
0.3423801064491272,
0.27944013476371765,
0.17724232375621796,
-0.5018649101257324,
-1.6514227390289307,
0.39226359128952026,
0.32250750064849854,
-0.33014944195747375,
0.5252339839935303,
-0.2648366093635559,
-0.41837596893310547,
-0.539928674697876,
0.3643598854541778... |
Detailed Instructions: 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.
Q: ['p', '129', 'l', 'g', 'm', 'p', 'm', '255', '203', '353', '265', '105', '253']
A: | 0, 1, 2, 3, 5, 6, 9 | 9 | NIv2 | task637_extract_and_sort_unique_digits_in_a_list | zs_opt | [
-0.6576239466667175,
-0.23713922500610352,
-0.21342888474464417,
-0.9561631679534912,
0.031882911920547485,
0.005387254059314728,
0.8016915321350098,
-0.4041537344455719,
-0.7910273671150208,
-0.13337242603302002,
-1.1047444343566895,
-0.15508612990379333,
-0.6726047992706299,
-0.296890377... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given two options and you need to select the one that best connects the first sentence with the rest of the story. Indica... | Option 1 | 1 | NIv2 | task065_timetravel_consistent_sentence_classification | zs_opt | [
-0.3959790766239166,
0.45683616399765015,
0.39535588026046753,
-0.05451350659132004,
0.18188540637493134,
-0.10141097009181976,
-0.42845624685287476,
1.009320855140686,
0.024667739868164062,
0.1659490168094635,
-0.48260533809661865,
-0.468116819858551,
0.28717589378356934,
-0.5301377773284... |
Detailed Instructions: In this task, you are given a question and answer options for that question. Using this information, you have to classify each text into different topics: medicine, nursery, psychology, chemistry, pharmacology, biology.
Problem:Question: A 35-year-old woman consulted for the appearance of maculo-... | medicine | 8 | NIv2 | task1434_head_qa_classification | zs_opt | [
-0.016477886587381363,
0.23910605907440186,
-0.23869146406650543,
-0.25009727478027344,
-0.13063979148864746,
0.10435614734888077,
0.445270299911499,
0.8282609581947327,
0.19748440384864807,
0.05354306101799011,
-0.27482470870018005,
-0.32492783665657043,
-0.5196059942245483,
0.12859456241... |
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).
Problem:Isimeli Tukana, a health official, said, "Peop... | एक स्वास्थ्य अधिकारी, इसिमेली तुकाना ने कहा, "लोगों को जितना संभव हो उतना बारिश का पानी इकट्ठा करने और जितना संभव हो उतना पीने के लिए चाहिए।" | 8 | NIv2 | task432_alt_en_hi_translation | zs_opt | [
-0.3205875754356384,
0.3871956467628479,
0.4024834632873535,
-0.5956256985664368,
0.12518192827701569,
-0.8629149794578552,
0.31713688373565674,
-0.03493195027112961,
-0.38614851236343384,
-0.5003540515899658,
-0.4642943739891052,
0.24584318697452545,
-0.6395162343978882,
-0.14634767174720... |
Q: 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".
Gujarati: 20 મી સદીની શરૂઆતથી લીલા વિન્ટેજ મોટરસાયકલ.
English: Parents and children ... | No | 7 | NIv2 | task440_eng_guj_parallel_corpus_gu-en_classification | zs_opt | [
-1.3030420541763306,
0.2537844479084015,
0.2912951707839966,
0.17679011821746826,
-0.2995314598083496,
-0.6696509718894958,
0.27747195959091187,
0.7845647931098938,
0.20929798483848572,
-0.2833647131919861,
0.04522433504462242,
0.6624003648757935,
-0.654910683631897,
0.3457077741622925,
... |
You are provided with an "Event" and it's "Intent" related to PersonX. Determine the sentiment value of the given input as either "Positive", "Negative", and "Unknown".
--------
Question: Event:PersonX is responsible enough. Intent: 1) good job
Answer: Positive
Question: Event:PersonX hates every ___. Intent: 1) to... | Positive
| 7 | NIv2 | task923_event2mind_classifier | fs_opt | [
-0.7046205401420593,
0.1909843385219574,
0.2934630811214447,
-0.41280463337898254,
-0.12429444491863251,
-1.0738486051559448,
0.8986625671386719,
0.16049613058567047,
0.18333259224891663,
-0.2839142382144928,
0.045775339007377625,
0.1667117476463318,
-0.7482444643974304,
-0.017836686223745... |
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".
[EX Q]: Japanese: デュラハンの調教師、デール・ローマンは、ニュースで「それは破壊的だ」と答えた。
Bahasa Indonesia:... | No
| 6 | NIv2 | task1117_alt_ja_id_answer_generation | fs_opt | [
0.13383989036083221,
-0.025301862508058548,
-0.10500110685825348,
0.19841325283050537,
-0.1786377876996994,
-0.41401731967926025,
0.984392523765564,
-0.1040252149105072,
0.11958932876586914,
-0.38420170545578003,
-1.1107691526412964,
0.5086455345153809,
-0.8552567958831787,
0.3326951563358... |
You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For consistency, answers should be in all lower cased letters.
Q: Category: GEORGIA ON MY MIND
Clue: On January 19th of this year, Georgia became the fifth... | japan
****
| 4 | NIv2 | task305_jeopardy_answer_generation_normal | fs_opt | [
0.1812429577112198,
0.4712570309638977,
0.06890688836574554,
-0.26747268438339233,
0.021377941593527794,
-0.8197755813598633,
-0.23995676636695862,
-0.15788087248802185,
-0.19343186914920807,
0.029038207605481148,
-0.4990912079811096,
-0.42188766598701477,
-0.724303126335144,
0.02798261865... |
You are given a science question (easy-level) and four answer options (associated with "A", "B", "C", "D"). Your task is to find the correct answer based on scientific facts, knowledge, and reasoning. Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D'. There is only one correct ... | B
| 7 | NIv2 | task228_arc_answer_generation_easy | fs_opt | [
-0.27739718556404114,
0.47929131984710693,
-0.8997151255607605,
-0.13994641602039337,
-0.7923544645309448,
-1.0380034446716309,
1.2030006647109985,
1.1356337070465088,
-0.3554641604423523,
-0.3394124507904053,
-0.6914665699005127,
0.3416293263435364,
-0.6147096157073975,
0.1467529237270355... |
You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For consistency, answers should be in all lower cased letters.
Ex Input:
Category: ON THE COVER OF ROLLING STONE
Clue: "Nothing Compares" to this singer se... | treaty of guadalupe hidalgo
| 1 | NIv2 | task305_jeopardy_answer_generation_normal | fs_opt | [
-0.5006346106529236,
1.1322956085205078,
-0.4826081097126007,
0.17074309289455414,
-0.5287491679191589,
0.17297133803367615,
0.712263822555542,
0.5800208449363708,
0.35779955983161926,
0.26340800523757935,
0.6235827207565308,
0.04302919656038284,
-0.00897910725325346,
0.1422400176525116,
... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: toxic and non-toxic. Toxicity is defiend as anything that is rude, disrespectful, or unreasonable that would make someone want to leave a converation.
Comment: I can't stop thinking about mone... | Non-toxic | 0 | NIv2 | task327_jigsaw_classification_toxic | zs_opt | [
-0.6756908893585205,
0.6867579817771912,
0.9374058842658997,
-0.058546192944049835,
-0.41151493787765503,
-0.459201455116272,
0.983637809753418,
0.38539326190948486,
0.5714640617370605,
0.10840572416782379,
-0.1772003322839737,
0.051976278424263,
-0.918563723564148,
-0.7228913903236389,
... |
In this task, you're given a context, a question, three options, and an answer. Your task is to classify whether the given answer is correct or not by providing 'Yes' or 'No', based on the context with commonsense reasoning about social situations.
Example input: Context: Tracy didn't go home that evening and resisted... | Yes | 3 | NIv2 | task579_socialiqa_classification | fs_opt | [
-0.14640924334526062,
0.36640992760658264,
0.35787639021873474,
0.41244328022003174,
-0.1344316601753235,
-0.6016077995300293,
0.5024662017822266,
0.6641149520874023,
0.10650339722633362,
0.1831659972667694,
-0.13119255006313324,
0.0928528755903244,
-0.13014554977416992,
-0.248031601309776... |
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