inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
Definition: Given an Amazon review, indicate whether it is a 'Positive Review' or 'Negative Review'.
Input: Perfect for iPad 2
Output: | Positive Review | 2 | NIv2 | task1343_amazon_us_reviews_rating | zs_opt | [
-0.2666623592376709,
-0.05514083057641983,
-0.09374655783176422,
-0.5382110476493835,
0.1212879866361618,
0.0598284937441349,
0.18244847655296326,
-0.06461609899997711,
0.7132390141487122,
0.6824724674224854,
-0.6426893472671509,
-0.13136205077171326,
-0.3539142906665802,
0.088293775916099... |
Detailed Instructions: You need to create a question containing a blank (_), based on the given context word. Your question must contain two persons --PersonX and PersonY. The expected answer to your question must be PersonX. PersonX and PersonY should not be equally likely to fill the blank. There should be an agreed ... | PersonX appears to tower over PersonY in photographs because _ isn't the thinner one of the two. | 8 | NIv2 | task032_winogrande_question_generation_person | zs_opt | [
0.14908050000667572,
0.7508270144462585,
0.17109686136245728,
-0.18946051597595215,
0.2085966169834137,
-0.18832927942276,
0.36251822113990784,
0.7251403331756592,
-0.22626590728759766,
-0.059982508420944214,
-0.1972510814666748,
-0.3082216680049896,
-0.5601280927658081,
0.1794340908527374... |
Q: You are given a password and you need to generate the number of steps required to convert the given password to a strong password. A password is considered strong if (a) it has at least 6 characters and at most 20 characters; (b) it contains at least one lowercase letter and one uppercase letter, and at least one di... | 13 | 7 | NIv2 | task956_leetcode_420_strong_password_check | zs_opt | [
0.5788079500198364,
1.1665102243423462,
0.10182899236679077,
-0.8227760195732117,
0.14989528059959412,
-0.3410853445529938,
1.3852131366729736,
-0.22555482387542725,
0.4521128237247467,
-0.7353636026382446,
0.15911510586738586,
-0.04018494114279747,
-1.0555000305175781,
-0.5511496663093567... |
Teacher:In this task, you are given a sentence in Persian, and your task is to translate it into English.
Teacher: Now, understand the problem? Solve this instance: یوم مون رو بیارید
Student: | bring yum moon. | 6 | NIv2 | task659_tep_fa_en_translation | zs_opt | [
-0.6200709342956543,
0.8729182481765747,
0.15299876034259796,
-0.8755123615264893,
-0.4728219509124756,
-0.7957943677902222,
0.21549564599990845,
0.4502220153808594,
0.523592472076416,
-0.22850435972213745,
-0.1674889624118805,
0.33995088934898376,
-0.5649458765983582,
-0.5041699409484863,... |
Detailed Instructions: 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).
Problem:My last point concerns the future Palestinia... | Min sista punkt gäller den kommande palestinska staten. | 8 | NIv2 | task313_europarl_en_sv_translation | zs_opt | [
0.4418363571166992,
0.7387781143188477,
0.3268086314201355,
-0.983096718788147,
-0.3851218819618225,
0.33714666962623596,
1.5667473077774048,
0.48958122730255127,
0.7037132382392883,
0.353790819644928,
-0.21369022130966187,
0.6626749634742737,
-0.6690158843994141,
-0.33346718549728394,
-... |
TASK DEFINITION: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
PROBLEM: Y pensé: les tomaré un examen y sacarán un cero. Les daré los materiales. Regresaré y los evaluaré. Sacarán otro cero. Regresaré y les diré: "" Sí, necesitamos maestros para ciertas cosas "". Llamé ... | וכך השקנו את זה כדי ללכוד את הסיפורים מכל רחבי העולם, באמצעות וידאו, באמצעות תמונות, באמצעות ההיסטוריה הכתובה, וכך חוויותיהם של אנשים באותו יום. שהיה, למעשה, סיכון עצום עבור המוסד לעשות את הצעד הראשון של פלטפורמה פתוחה זו.
| 8 | NIv2 | task1229_ted_translation_es_he | fs_opt | [
-0.3923346996307373,
-0.22576001286506653,
0.020144104957580566,
-0.16045880317687988,
-0.19986289739608765,
0.5128265619277954,
1.3709444999694824,
0.36669015884399414,
0.022785957902669907,
-0.35314512252807617,
-0.46478039026260376,
0.2328602820634842,
-0.3736753761768341,
0.10307133197... |
You are given a sentence in English. Your job is to translate the English sentence into Polish.
These stem cells have come in and repaired, in yellow, the bone, in white, the cartilage, almost completely. | Komórki macierzyste naprawiły ją: na żółto - kość, na biało - chrząstkę, prawie całkowicie. | 0 | NIv2 | task1092_ted_translation_en_pl | zs_opt | [
0.2849907875061035,
1.226431131362915,
-0.7049533724784851,
-0.29486459493637085,
-0.2813682556152344,
-0.7286900877952576,
0.1820024996995926,
0.4379858672618866,
0.5490617156028748,
-0.1619958132505417,
0.3276470899581909,
1.4144189357757568,
-0.1804431676864624,
0.664169192314148,
-0.... |
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 : Billy the Kid's Fighting Pals (also known as Trigger Men) is a 1941 American western directed by Sam Newfield for Producers Releasing ... | When did Cougar Helicopters Flight 91 occurr?
| 0 | NIv2 | task1326_qa_zre_question_generation_from_answer | fs_opt | [
-0.09030424058437347,
-0.33914172649383545,
-0.4723978042602539,
-0.15614819526672363,
0.05189785361289978,
-0.15280260145664215,
-0.03199988976120949,
0.6367440223693848,
-0.10570931434631348,
0.29478520154953003,
-0.07753203809261322,
0.7565362453460693,
-0.3152576684951782,
-0.455590903... |
In this task, you will be shown an extract from a movie plot and a question. You need to provide the correct answer for it. Short answers containing words that are present in the passage are preferred.
Q: This is the summer when young Lucy, a 19-year-old American, has decided to lose her virginity. For the summer holi... | Answer: Liz Cooper
****
| 4 | NIv2 | task194_duorc_answer_generation | fs_opt | [
-0.09840789437294006,
0.2667984962463379,
-0.3316558599472046,
-0.654309868812561,
0.020638786256313324,
0.31074681878089905,
0.8163700103759766,
0.9092873334884644,
0.0017448961734771729,
-0.022366773337125778,
0.03736207261681557,
0.14955294132232666,
-0.6999247074127197,
-0.097011312842... |
In this task you are given a sentence. You must judge whether the main verb of the sentence is in present or past tense. Label the instances as "Present" or "Past" based on your judgment. If there is no verb in the given text, answer "Present".
One example is below.
Q: She shone her light around the space, following th... | Present | 9 | NIv2 | task429_senteval_tense | fs_opt | [
-0.41734716296195984,
1.0010459423065186,
0.1517820954322815,
-0.18026892840862274,
0.12221291661262512,
-0.14556175470352173,
0.7931270599365234,
1.046757698059082,
0.46237659454345703,
0.028689246624708176,
-0.5475245714187622,
0.1617129147052765,
-0.8072188496589661,
-0.1522432416677475... |
In this task, you are given a text of article and corresponding title of an article. Your task is to generate label "yes" if headline (title) is right for article, otherwise generate "no".
Input: Consider Input: Article: general motors tuesday unveiled its electric car , the volt , from its detroit headquarters on the... | Output: yes
| 2 | NIv2 | task289_gigaword_summarization | fs_opt | [
-0.7846384644508362,
0.061463240534067154,
-0.1441214382648468,
0.64109206199646,
0.11743244528770447,
-0.9822186231613159,
-0.15711383521556854,
0.8712248206138611,
0.12004774063825607,
0.22565367817878723,
-0.27793556451797485,
-0.008963217958807945,
-0.4962068200111389,
-0.1025943085551... |
Given a sentence, generate a most unlikely next statement. The next statement should not be logically relevant to the given context
Q: People are walking and jumping a heighten hurdle with leg extensions. A girl
A: | is roping in front of a group of people on uneven rocks. | 4 | NIv2 | task454_swag_incorrect_answer_generation | zs_opt | [
-0.3762446343898773,
1.3687801361083984,
-0.7783017158508301,
0.3877946734428406,
-0.05612365901470184,
0.25451451539993286,
-0.627643346786499,
0.4669184982776642,
0.13177907466888428,
-0.89687180519104,
-0.4345030188560486,
0.2728461027145386,
0.08074507117271423,
-0.4040815830230713,
... |
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.
2, 4, ['c', '27... | A, O, K, 9459, s
| 0 | NIv2 | task099_reverse_elements_between_index_i_and_j | fs_opt | [
-0.02247568964958191,
0.41747403144836426,
-0.710469663143158,
-0.06143726408481598,
-0.045767318457365036,
-0.3736782670021057,
0.6525831818580627,
-0.35207557678222656,
-0.7756092548370361,
0.45766377449035645,
-1.0156553983688354,
-0.0009061687160283327,
0.14807511866092682,
-0.30556756... |
In this task, you are given a context paragraph of the tweet and question. Your task is to generate right answer of given question based on given context tweet paragraph.
Example Input: Context: CONGRATULATIONS RORY: We're paying out 180k to Rory's Dad and pals. There'll be some party at the McIlroy's tonight! Ladbrok... | #prayingmantis
| 3 | NIv2 | task239_tweetqa_answer_generation | fs_opt | [
-0.4214089512825012,
0.12195239961147308,
-0.3105846345424652,
0.11136411130428314,
-0.7071805000305176,
0.38462215662002563,
0.29433614015579224,
0.3124268651008606,
0.1692868173122406,
-0.18804104626178741,
-0.5497334003448486,
-0.48155805468559265,
-0.3015187382698059,
0.149627149105072... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a question, a context passage, and four options which are terms from the passage. After reading a passage, you will get a brief understanding of the terms. Your job is to determine by searching and reading further in... | b | 1 | NIv2 | task231_iirc_link_classification | zs_opt | [
0.06420036405324936,
0.5873374938964844,
-0.5778017044067383,
0.7319035530090332,
0.2201249897480011,
0.41535496711730957,
0.4745219647884369,
0.5121777057647705,
0.4499763250350952,
0.5136616230010986,
-0.18270185589790344,
0.4208284318447113,
-0.6831603050231934,
-0.27162158489227295,
... |
Q: You are given a sentence in Galician. Your job is to translate the Galician sentence into Farsi.
Él Contestoulle "" Non, eu quero abolir ós pobres "" A nosa responsabilidade é permitir que todos teñan a oportunidade de desenvolver o seu potencial por completo ©
A: | او گفت "" نه ، من می خواهم فقر را از میان بردارم. "" مسولیت ما این است که به همه اجازه بدهیم که این شانس را داشته باشند تا درک کنند که پتانسیل کامل شدن را دارند. | 7 | NIv2 | task1245_ted_translation_gl_fa | zs_opt | [
-0.600799560546875,
0.952756941318512,
0.8840534090995789,
-1.1839094161987305,
-0.3359103202819824,
-0.9167051315307617,
0.6363347768783569,
0.508497953414917,
-0.3582938611507416,
0.37311094999313354,
-0.5663065314292908,
0.09913007915019989,
-1.0346548557281494,
0.009526694193482399,
... |
Q: In this task, you are given a set of context paragraphs, some supporting facts and an answer of a question. Your task is to generate question for given answer based on set of context paragraphs, supporting facts and an answer.
Context_1 : Saul Lieberman (Hebrew: שאול ליברמן, May 28, 1898 – March 23, 1983), also know... | Eli Ginzberg is the son of Professor of Talmud, at the Jewish Theological Seminary of America known for his participation in what movement? | 7 | NIv2 | task191_hotpotqa_question_generation | zs_opt | [
0.3167549967765808,
0.41300690174102783,
-0.4609105587005615,
0.23178793489933014,
0.44181621074676514,
-0.03887096419930458,
0.6143437027931213,
0.6333649158477783,
-0.0344366729259491,
0.39690375328063965,
0.08136671036481857,
1.0248674154281616,
-1.2133667469024658,
0.3332943320274353,
... |
In this task, you are given a passage and a question regarding that passage. You must determine whether or not the question is answerable from the given passage. If a question is answerable, output should be 'True', otherwise 'False'. You must not consider any other information that is not provided in the passage while... | Solution: False | 5 | NIv2 | task349_squad2.0_answerable_unanswerable_question_classification | fs_opt | [
0.15277433395385742,
0.24657024443149567,
-0.4604766070842743,
0.25121361017227173,
-0.17822271585464478,
-0.09599395096302032,
0.1397676169872284,
1.0863529443740845,
0.4574294984340668,
0.502443790435791,
-0.6485244035720825,
0.9741926789283752,
-0.8343515396118164,
-0.3210912346839905,
... |
Generate a correct and concise answer for the question based on the words in the context.
Q: Context : Robert Glen Coe (April 15, 1956 -- April 19, 2000), born in Hickman, Kentucky, was convicted of the 1979 rape and murder of eight-year-old Cary Ann Medlin, and later executed for the crime.
Question : Which crime Rob... | murder | 4 | NIv2 | task1327_qa_zre_answer_generation_from_question | zs_opt | [
-0.1180463433265686,
0.511605441570282,
0.12254297733306885,
-0.43220192193984985,
0.15633505582809448,
-0.9418385028839111,
-1.4512165784835815,
-0.3588643968105316,
-0.23721447587013245,
-0.23417696356773376,
0.18049806356430054,
0.07512180507183075,
-0.4854258894920349,
-0.0171036571264... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Farsi.
Let me give you an example: Bueno, yo digo nada, pero en realidad hay una unidad de investigación muy, muy pequeña en Turín, Italia, llamada Proyecto de Perfiles de Hackers.
The answer to this example can be: خوب ، من چیزی ن... | این گروه را با گروه چشم دوخته به خط انتهای زمین مقایسه کردیم. | 8 | NIv2 | task1103_ted_translation_es_fa | fs_opt | [
-0.2987191081047058,
0.6292358040809631,
-0.4106483459472656,
-0.09390323609113693,
-0.3833637833595276,
-0.5421946048736572,
0.4967144727706909,
0.5612718462944031,
-0.4536311626434326,
-0.10186654329299927,
-0.5730679631233215,
0.2579623758792877,
-0.298868328332901,
-0.191911518573761,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you need to answer the given multiple-choice question on geometry. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Problem: if the diagonal of a rectangle is 17 cm long and its perimeter is 46 cm , find the area of the r... | c | 1 | NIv2 | task1423_mathqa_geometry | zs_opt | [
0.12354415655136108,
0.36740192770957947,
-0.025233564898371696,
-0.388762503862381,
0.21062850952148438,
-0.3615081012248993,
0.49905267357826233,
-0.28954634070396423,
-0.03962929546833038,
-0.23697084188461304,
-0.38644179701805115,
-0.044812146574258804,
0.20541976392269135,
-0.2863801... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, a passage will be given and the goal is to generate a question about temporal relations based on that passage. A temporal relation describes the relation between two things with respect... | What event has already finished? | 0 | NIv2 | task389_torque_generate_temporal_question | fs_opt | [
0.30391067266464233,
0.9603317379951477,
-0.11123007535934448,
0.14695346355438232,
-0.015100195072591305,
-0.11119511723518372,
1.000410556793213,
0.6669654250144958,
-0.005007951054722071,
0.16061565279960632,
-0.4503892660140991,
0.5618975162506104,
-0.6237882375717163,
0.48593038320541... |
A text is given in Bengali. Translate it from the Bengali language to the Malayalam language. The translation must not omit or add information to the original sentence.
Q: 2019 പ്രധാന നാഴികക്കല്ലാണ്.
A: | ২০১৯ সাল আমাদের দেশের ক্ষেত্রে এক গুরুত্বপূর্ণ মাইলফলক। | 4 | NIv2 | task1004_pib_translation_malayalam_bengali | zs_opt | [
0.3949955999851227,
1.5654206275939941,
0.33262860774993896,
-0.28757593035697937,
-0.44827336072921753,
-0.731812596321106,
0.4253842830657959,
0.30593886971473694,
0.3645350933074951,
-0.26931023597717285,
-0.09324095398187637,
-0.3021375834941864,
-0.04662850499153137,
0.249760627746582... |
In this task, you're given two sentences. Indicate if the first sentence clearly entails the second sentence (i.e., one can conclude the 2nd sentence by reading the 1st one). Indicate your answer with '1' if the first sentence entails the second sentence, otherwise answer with '0'.
Q: Sentence 1: Swiss police confirme... | 0
****
| 4 | NIv2 | task1344_glue_entailment_classification | fs_opt | [
0.02971724048256874,
0.8597913980484009,
-1.018159031867981,
-0.3043355345726013,
-0.1576518416404724,
-0.6849585771560669,
0.6934900283813477,
0.7803505659103394,
-0.43793779611587524,
0.263502836227417,
-0.014954499900341034,
0.6920554637908936,
-0.5782983899116516,
0.2862634062767029,
... |
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.
Input: Consider Input: That is precisely what we do not ... | Output: English
| 2 | NIv2 | task315_europarl_sv-en_language_identification | fs_opt | [
0.09689292311668396,
0.6635022759437561,
0.5039520263671875,
0.09229175746440887,
0.5408092141151428,
-0.4848794937133789,
-0.09646102041006088,
0.8035492300987244,
0.7305113077163696,
0.2421823889017105,
-0.10439486056566238,
0.37553930282592773,
-0.27417615056037903,
-0.8430449962615967,... |
You are given a statement written in Hindi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Let me give you an example: Statement: सिग्नेचर केल्विन क्लेन अंडरवियर बुटीक, ब्यूनस आयर्स, टोरंटो, मेक्सिको सिटी, ... | गुजरात | 8 | NIv2 | task947_wiki_cloze_hi_multiple_choice_question_answering | fs_opt | [
0.4917730689048767,
0.72227942943573,
-0.2695947289466858,
-0.09872741252183914,
0.04069117456674576,
-0.5623975992202759,
-0.923385739326477,
0.8855762481689453,
-0.005873499438166618,
-0.30323636531829834,
0.30221572518348694,
-0.025753282010555267,
-0.6882448196411133,
-0.24886885285377... |
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 Farsi.
E eu continuo a pensar que o transporte é o centro deste universo.
Solution: من همچنان معتقدم که ... | و به این علت ، من از سال ۲۰۱۲ دارم روی این پروژه نمایشگاه علوم کار می کنم تا از آزمایشگاه به دنیای واقعی بیارمش. | 0 | NIv2 | task1282_ted_translation_pt_fa | fs_opt | [
-0.7377467751502991,
0.38081666827201843,
0.39580875635147095,
0.29811811447143555,
-0.6299295425415039,
0.043845511972904205,
0.2677805423736572,
0.45960357785224915,
-0.1120663732290268,
-0.03762371465563774,
-0.7476328015327454,
0.5025017261505127,
0.029248367995023727,
0.82042670249938... |
In this task, you're given the middle and ending of a three-part story. Your job is to complete the short story by writing a probable beginning of the story. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating ... | I have the greatest wife in the world! | 8 | NIv2 | task072_abductivenli_answer_generation | fs_opt | [
-0.22189021110534668,
0.612214207649231,
-0.08391567319631577,
-0.510436475276947,
-0.28194165229797363,
-0.11302760243415833,
0.6046744585037231,
0.6823399066925049,
-0.36068177223205566,
-0.4107716679573059,
-0.6055697202682495,
0.3859872817993164,
-0.25555479526519775,
-0.03737137094140... |
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.
Problem:LL Cool J performed much better in this movie that I expected! He did a fabulous job acting as a "renegade" cop within a "rene... | negative | 8 | NIv2 | task284_imdb_classification | zs_opt | [
0.1252228021621704,
0.4725070893764496,
-0.3899020552635193,
0.20818328857421875,
0.5095023512840271,
0.005512284580618143,
1.0649818181991577,
0.9457296133041382,
-0.31577014923095703,
0.13893896341323853,
-0.31406205892562866,
0.3777015507221222,
-1.0961016416549683,
0.21152189373970032,... |
Given a sentence in Bulgarian, generate a new Bulgarian 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 ... | И ще минеш през него в тъмнините. | 9 | NIv2 | task415_mickey_bg_sentence_perturbation_generation | fs_opt | [
0.30855217576026917,
0.5145881175994873,
-0.24340732395648956,
-0.48221346735954285,
-0.041948772966861725,
-1.0514795780181885,
1.1636067628860474,
1.0843892097473145,
1.047119140625,
-0.01561012677848339,
-0.45866361260414124,
0.60683673620224,
-0.562180757522583,
-0.031222090125083923,
... |
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 seamlessly connects with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick the one tha... | Solution: b | 5 | NIv2 | task213_rocstories_correct_ending_classification | fs_opt | [
0.043152306228876114,
0.42958781123161316,
-0.31166738271713257,
-0.181717649102211,
0.8993996381759644,
-0.4651159942150116,
0.6444072127342224,
1.5378882884979248,
-0.04194428771734238,
0.018326610326766968,
-0.7116628885269165,
0.16759076714515686,
-0.4796726703643799,
0.128241971135139... |
In this task, you are given the abstract of a research paper. Your task is to generate a summary of this abstract. Your summary should not be very short, but it's better if it's not more than 30 words.
--------
Question: Deep generative models have achieved impressive success in recent years. Generative Adversarial Net... | We propose the Prob2Vec method for problem embedding used in a personalized e-learning tool in addition to a data level classification method, called negative pre-training, for cases where the training data set is imbalanced.
| 7 | NIv2 | task668_extreme_abstract_summarization | fs_opt | [
-0.28890737891197205,
-0.00317012844607234,
-0.09183230251073837,
0.03276494890451431,
0.5691463351249695,
-0.6596895456314087,
0.9473448991775513,
0.5753909349441528,
-0.25312551856040955,
0.37083154916763306,
-0.7632436752319336,
-0.07851091027259827,
-0.3998412489891052,
0.4423576593399... |
You are given a background paragraph that describes one or more causal or qualitative relationships such as a relationship in economics or a scientific law and a story that makes use of the concepts or the relationship described in the provided paragraph. You are also given a question about the story that requires an u... | coffee A. | 3 | NIv2 | task061_ropes_answer_generation | fs_opt | [
0.49780285358428955,
0.028290558606386185,
-0.10201218724250793,
0.32185620069503784,
0.020834464579820633,
-0.6419154405593872,
0.017762646079063416,
1.179315209388733,
-0.5178602933883667,
0.10840418189764023,
-0.6455217599868774,
-0.05381501838564873,
-0.900812029838562,
0.2041442692279... |
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... | aerial footage of exotic beach during a sunrise | 2 | NIv2 | task102_commongen_sentence_generation | zs_opt | [
0.1172434538602829,
-0.04771778732538223,
-0.8848579525947571,
-0.12124711275100708,
-0.39858755469322205,
-0.6913716793060303,
0.17183834314346313,
0.770583987236023,
0.14372916519641876,
-0.1772548407316208,
-0.6612266302108765,
0.13039863109588623,
-0.24835672974586487,
-0.0605203360319... |
In this task, you are given a text which is the body of a document. You are given a question and options. Pick the correct number. Don't generate anything else apart from the numbers provided in options.
Q: Context: The Cab Calloway School of the Arts is an arts-oriented magnet school in Wilmington Delaware operated by... | 4 | 4 | NIv2 | task633_dbpedia_14_answer_generation | zs_opt | [
-0.4152336120605469,
0.36809760332107544,
-0.024877209216356277,
0.4817209839820862,
-0.24770760536193848,
0.30544304847717285,
0.24584397673606873,
-0.09352453052997589,
-0.47906294465065,
-0.27857571840286255,
-0.18441610038280487,
-0.3460393249988556,
0.4848064184188843,
-0.059684671461... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for ... | no | 1 | NIv2 | task211_logic2text_classification | zs_opt | [
-0.06429575383663177,
-0.3105097711086273,
-0.23627015948295593,
0.49782225489616394,
0.30215007066726685,
-0.5594594478607178,
0.15952226519584656,
0.6037295460700989,
0.0948905497789383,
0.08686451613903046,
-0.28013062477111816,
0.12002547085285187,
0.15890125930309296,
0.31467530131340... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in Chinese, generate a new Chinese sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have ... | 您很可能在ER 中找到一个旅客终端 。 | 1 | NIv2 | task412_mickey_zh_sentence_perturbation_generation | zs_opt | [
-0.046470437198877335,
0.2372618168592453,
-0.27810943126678467,
-0.5715259313583374,
0.3973400592803955,
-0.030627591535449028,
-0.04316902160644531,
0.9444249868392944,
0.20701931416988373,
0.14330506324768066,
-0.9685961604118347,
-0.07140679657459259,
0.2453790307044983,
0.342059254646... |
You will be given a definition of a task first, then some input of the task.
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.
S... | yes | 1 | NIv2 | task199_mnli_classification | zs_opt | [
-0.5089764595031738,
0.03665133938193321,
0.5075627565383911,
-0.07584495842456818,
0.30534666776657104,
-1.0102933645248413,
0.22624140977859497,
0.8263587355613708,
0.19509164988994598,
0.005250775255262852,
-0.7446361184120178,
-0.6346181631088257,
-0.18381431698799133,
-0.4837378859519... |
In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
Q: My mom is really sick and it is stressful.
A: | Are your family happy and in good health ? | 4 | NIv2 | task568_circa_question_generation | zs_opt | [
-0.12265267223119736,
1.0313632488250732,
-0.3223003149032593,
-0.9803093671798706,
-0.12801435589790344,
-0.9637237787246704,
0.08822526782751083,
0.9608378410339355,
0.7400757074356079,
-0.3892500400543213,
-0.04961105436086655,
0.29187703132629395,
-0.6860676407814026,
0.282412052154541... |
Definition: 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 h... | Yes | 2 | NIv2 | task1203_atomic_classification_xreact | zs_opt | [
0.1997772753238678,
0.03379045054316521,
0.29036590456962585,
-0.40462225675582886,
-0.45407792925834656,
-0.990654706954956,
1.345899224281311,
0.338192343711853,
-0.3875398337841034,
-0.5839624404907227,
-0.4868265986442566,
-0.1300567090511322,
-0.7490682601928711,
0.4493827223777771,
... |
Detailed Instructions: 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.
Q: Comment: Remembe... | Toxic | 9 | NIv2 | task327_jigsaw_classification_toxic | zs_opt | [
-0.26064324378967285,
0.3704281747341156,
1.0634959936141968,
0.14997079968452454,
-0.18936637043952942,
-0.5636760592460632,
0.3276749551296234,
0.35790425539016724,
0.1518450230360031,
0.5281386375427246,
-0.12926089763641357,
-0.17723776400089264,
-0.07541315257549286,
-0.69100701808929... |
In this task, you are given two statements. The task is to output whether a given textual premise, i.e. Statement 2, entails or implies a given scientific fact, i.e. Statement 1. The output should be 'entails' if Statement 2 supports Statement 1 and should be 'neutral' otherwise.
Ex Input:
Sentence 1: Protons and neut... | neutral
| 1 | NIv2 | task1554_scitail_classification | fs_opt | [
0.28248897194862366,
0.19362139701843262,
-0.1832079291343689,
0.22140797972679138,
-0.1523900032043457,
-1.3776743412017822,
0.35787105560302734,
0.6782986521720886,
0.3344990313053131,
-0.19623146951198578,
-0.17720246315002441,
-0.0939285010099411,
-0.5076998472213745,
-0.10046007484197... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Italian.
One example: Isto inclúe un sistema en árabe chamado al-jebra.
Solution is here: Tra di esse, si annovera il piccolo sistema in arabo detto al-jebr.
Explanation: The Galician sentence is correctly translated into Italian,... | Questo è stato l'inizio dell'incursione degli Stati Uniti laggiù che noi non paghiamo alla pompa. | 6 | NIv2 | task1243_ted_translation_gl_it | fs_opt | [
-0.1730317771434784,
0.9381759166717529,
-0.20291569828987122,
0.38390088081359863,
-0.2532217502593994,
-0.6708846092224121,
1.1903438568115234,
0.774667501449585,
-0.9695842266082764,
0.02249310165643692,
-0.2839547395706177,
-0.27037784457206726,
-0.9967939853668213,
0.7089196443557739,... |
Instructions: Given a text passage as input comprising of dialogue of negotiations between a seller and a buyer about the sale of an item, your task is to classify the item being sold into exactly one of these categories: 'housing', 'furniture', 'bike', 'phone', 'car', 'electronics'. The output should be the name of th... | housing | 3 | NIv2 | task767_craigslist_bargains_classification | zs_opt | [
-0.39035576581954956,
0.06336616724729538,
-0.5517823696136475,
0.9063739776611328,
0.2999666929244995,
0.09989506006240845,
-0.08948284387588501,
0.6957604289054871,
-0.47292739152908325,
0.6254938244819641,
-0.014342544600367546,
0.6114684343338013,
-0.1291825771331787,
-0.40231233835220... |
Detailed Instructions: In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: political or non-politic... | non-political | 4 | NIv2 | task1491_bengali_political_hate_speech_binary_classification | fs_opt | [
-0.390203595161438,
0.004131934605538845,
0.1775745004415512,
0.5355091094970703,
-0.3908383250236511,
-0.5956132411956787,
0.7889018654823303,
0.08088979125022888,
-0.37417009472846985,
-0.1040930449962616,
-0.7616565823554993,
0.1663721799850464,
-0.07659494131803513,
-0.4689018726348877... |
Q: In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the numerical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no numerical element is in the list.
['9063', '4069'... | 1, 2, 4, 8, 9, 10, 11, 12, 17, 19, 22 | 7 | NIv2 | task507_position_of_all_numerical_elements_in_list | zs_opt | [
-0.2821928858757019,
0.5554531812667847,
0.05433861166238785,
-0.48082518577575684,
0.29262763261795044,
-0.05916423350572586,
0.6443679928779602,
-0.06182323023676872,
-0.22881245613098145,
0.6741460561752319,
-0.28916487097740173,
0.1442357301712036,
-0.1343122273683548,
-0.1402343213558... |
In this task, you will be presented with a context passage, a question about that paragraph, and a possible answer to that question. The task is to check the validity of the answer. Answer with "Yes" or "No".
Q: The Golden Heian Era: The geomancers in 794 decided that Heian-kyo (modern Kyoto) would be an auspicious si... | No
****
| 4 | NIv2 | task1392_superglue_multirc_answer_verification | fs_opt | [
0.1495850384235382,
0.10902716219425201,
-0.0658164769411087,
-0.8465809226036072,
1.0600831508636475,
-0.5055771470069885,
0.327588826417923,
1.305506944656372,
-0.10810397565364838,
-0.49117979407310486,
-0.38607171177864075,
0.916158139705658,
-0.635023832321167,
0.20364588499069214,
... |
A text is given in English. Translate it from the English language to the Tamil language. The translation must not omit or add information to the original sentence.
One example: Union Minister of Agriculture and Farmers Welfare Shri Radha Mohan Singh today met Ms
Solution is here: தொழிற்சங்க வேளாண் மற்றும் விவசாயிகள் ந... | தேசிய பேரிடர் காலங்களில் தங்கள் இன்னுயிரையும் பொருட்படுத்தாமல் பேரிடர் மேலாண்மையிலும் மீட்பு நடவடிக்கையிலும் ஈடுபடும் நமது காவல்துறையின் வீர நெஞ்சங்களுக்கு ஒவ்வோராண்டும் நேதாஜியின் பெயரிலான இந்த விருது வழங்கப்படும். | 6 | NIv2 | task991_pib_translation_english_tamil | fs_opt | [
-0.17817199230194092,
0.34936779737472534,
-0.04113892465829849,
0.19139033555984497,
0.25698649883270264,
-0.7366382479667664,
0.12246516346931458,
0.14615008234977722,
-0.20672309398651123,
0.702380895614624,
-0.30837178230285645,
0.19310225546360016,
-0.055820368230342865,
0.65720736980... |
You are given a question or fill-in-the-blank question, two answer options (Option1 and Option2) and an Explanation. Your task is to find the correct answer (return the string of the correct option, not option1/2) for the given question from the given options and using explanation.
--------
Question: Question: Jeff gai... | not
| 7 | NIv2 | task178_quartz_question_answering | fs_opt | [
-0.46030277013778687,
0.1497165858745575,
0.003920110873878002,
0.31599998474121094,
0.06260894238948822,
-0.09509137272834778,
0.11518867313861847,
1.37555992603302,
-0.18966402113437653,
-0.17192040383815765,
-0.7210524678230286,
-0.1301073580980301,
-0.4974707365036011,
0.35945951938629... |
In this task, you are given inputs 'i', 'j', and A, where 'i' and 'j' are integers and A is a list. A list is shown by two brackets and comma-separated numbers and characters inside, like ['1', '12', 'l']. You need to concatenate all elements of A from the ith element to the jth element, and then reverse the resulting ... | Q5346V | 0 | NIv2 | task267_concatenate_and_reverse_all_elements_from_index_i_to_j | zs_opt | [
-0.2034563571214676,
0.44329047203063965,
-0.40487435460090637,
-0.16895586252212524,
0.07088682800531387,
0.2702760100364685,
0.7296529412269592,
0.19433137774467468,
-0.24496766924858093,
-0.10053057223558426,
-1.200406789779663,
-0.20001517236232758,
0.12171806395053864,
-0.139412552118... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
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 : Isaac Nicola ... | When did Cougar Helicopters Flight 91 occurr? | 0 | NIv2 | task1326_qa_zre_question_generation_from_answer | fs_opt | [
0.45232093334198,
-0.2713868319988251,
-0.4074246287345886,
-0.5105738043785095,
-0.06323868036270142,
0.14385810494422913,
0.16611281037330627,
0.13612453639507294,
-0.2911486029624939,
0.7006150484085083,
0.7364451289176941,
0.8122091889381409,
-0.5583028197288513,
-0.15155437588691711,
... |
Instructions: In this task, you are given a sentence in the Japanese language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Input: セルビアは不承不承分離に合意し、ヨーロッパ連合が承認した。
Output: | Serbia reluctantly agreed to the split, and the European Union approved. | 3 | NIv2 | task436_alt_ja_en_translation | zs_opt | [
0.031606100499629974,
0.6717416048049927,
0.5748640298843384,
0.01907282881438732,
0.07265479862689972,
-0.3774269223213196,
0.9960261583328247,
-0.15719173848628998,
-0.19604629278182983,
-0.29404979944229126,
0.4632387161254883,
0.2760108411312103,
-0.492482453584671,
-0.4038850963115692... |
Given the task definition, example input & output, solve the new input case.
In this task, you will be presented with a question and you have to answer the question based on your knowledge. Your answers should be as short as possible.
Example: Who were the builders of the mosque in Herat with fire temples ?
Output: Ghu... | 27,778.5 | 1 | NIv2 | task344_hybridqa_answer_generation | fs_opt | [
-0.2542402744293213,
0.6416295766830444,
-0.1932239532470703,
0.026302732527256012,
-0.004077013116329908,
-0.22850367426872253,
0.08329254388809204,
0.5520056486129761,
-0.09666630625724792,
0.08964165300130844,
-0.5486611127853394,
-0.17067289352416992,
0.10563920438289642,
-0.2419388890... |
Instructions: Given a sentence in the Central Khmer, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Input: កិច្ចព្រមព្រៀងមជ្ឈត្តកម្មព្រំដែន អនុញ្ញាតឲ្យមានមជ្ឈត្តករអន្តរជាតិសម្រាប់ដោះស្រាយជម្លោះព្រំដែនដែលមានរយៈពេល 20ឆ្នាំមកហើយតា... | 国境仲裁契約により、国際的な仲裁人がユーゴスラビアの分裂にさかのぼる20年の国境紛争を解決することができた。 | 3 | NIv2 | task1122_alt_khm_ja_translation | zs_opt | [
0.16127046942710876,
0.28823503851890564,
-0.4576709568500519,
-0.5335686206817627,
0.02844107151031494,
-0.4321416914463043,
0.2100628763437271,
0.22673359513282776,
-0.1269453465938568,
-0.17242060601711273,
-0.05177672952413559,
0.2969285249710083,
-0.7114648222923279,
0.513971447944641... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to classify the conversation either convey 'No emotion' or 'Happiness' by providing '1' and '0', respectively.
Person1: Excuse me . Could you tell me how to get to the post off... | 0 | 0 | NIv2 | task1536_daily_dialog_happiness_classification | zs_opt | [
-0.36732369661331177,
0.23805154860019684,
0.4029470980167389,
-0.3151048421859741,
0.2948497533798218,
0.1081153005361557,
0.7798631191253662,
-0.2050897628068924,
0.7877468466758728,
-0.3805341422557831,
-0.21425588428974152,
-0.7555608749389648,
0.19072183966636658,
-0.12166542559862137... |
In this task, you're given a statement, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
Q: Context: The first complete Tosca recordi... | Answer: Wisconsin
****
| 4 | NIv2 | task237_iirc_answer_from_subtext_answer_generation | fs_opt | [
0.40779781341552734,
0.7037025690078735,
0.16761931777000427,
0.14314106106758118,
0.36282652616500854,
-0.3951738476753235,
0.1257985532283783,
0.9305500388145447,
-0.5062066316604614,
0.08156857639551163,
0.05411664396524429,
0.40814682841300964,
-0.2480696737766266,
-0.41493016481399536... |
In this task, you're given a statement and three sentences as choices. Your job is to determine which sentence can be inferred from the statement. Incorrect choices change the meaning in important ways or have details that are not mentioned in the statement. Indicate your answer as 1,2, or 3 corresponding to the choice... | 3 | 4 | NIv2 | task200_mnli_entailment_classification | zs_opt | [
0.12763169407844543,
0.5422770380973816,
0.0358528271317482,
-0.3396320939064026,
-0.13438680768013,
0.1449020355939865,
0.32358765602111816,
0.9358952641487122,
0.5369423627853394,
0.03353702276945114,
-0.30986547470092773,
-0.1299600601196289,
-0.6975278854370117,
-0.33785533905029297,
... |
Q: 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 all of coin machines in a tourist stop'. How many words end with the letter 'n' in the sentence.
A: | 2 | 7 | NIv2 | task163_count_words_ending_with_letter | zs_opt | [
0.49475234746932983,
0.5169147849082947,
-0.0018306276760995388,
-0.7086406946182251,
-0.3425429165363312,
-0.36683782935142517,
-0.007905613631010056,
0.4507675766944885,
0.43902695178985596,
-0.09788466989994049,
0.09274840354919434,
0.06277225911617279,
-0.5811051726341248,
0.0098014473... |
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 sentences have been se... | E
| 3 | NIv2 | task534_farstail_entailment | fs_opt | [
0.3170316517353058,
0.5793639421463013,
-0.014539197087287903,
0.2820492386817932,
-0.46398523449897766,
-0.6299020648002625,
0.9354168772697449,
0.9315983653068542,
0.3338853716850281,
-0.029406491667032242,
-0.6174165606498718,
0.7180819511413574,
-0.5756105780601501,
-0.4222386479377746... |
Teacher:Given a sentence in Tagalog language, translate the sentence to English language keeping the meaning of the original sentence intact.
Teacher: Now, understand the problem? Solve this instance: Tagalog sentence: Libri ay hihirangin Inspektor ng Aklatan ng Pransya sa 1841.
Student: | Libri was appointed Inspector of the Libraries of France in 1841. | 6 | NIv2 | task451_opus_paracrawl_tl_en_translation | zs_opt | [
-0.0515700988471508,
0.3598211109638214,
0.2637035846710205,
-1.1505579948425293,
0.13350529968738556,
-0.6832807064056396,
0.19878314435482025,
0.2869352400302887,
0.6093859672546387,
-0.32042640447616577,
-0.3864389657974243,
-0.05305328965187073,
-0.8258118033409119,
0.17556169629096985... |
You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
The Sundowners, when was it released?
1960
the director of Looper was who?
Rian Johnson
what film did Mieke de Jong write?
| Winter in Wartime
| 0 | NIv2 | task615_moviesqa_answer_generation | fs_opt | [
0.2235325127840042,
0.40844854712486267,
-0.9494324326515198,
0.36418408155441284,
-0.9823668003082275,
0.2509458661079407,
0.5061832666397095,
-0.06133803352713585,
0.15208053588867188,
-0.7000018954277039,
-0.07112100720405579,
-0.07729663699865341,
-1.1071128845214844,
0.347029089927673... |
In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed. Label the instances as "Original" or "Changed" based on... | Changed | 0 | NIv2 | task515_senteval_odd_word_out | zs_opt | [
-0.6480913758277893,
1.171471357345581,
0.18785017728805542,
0.15214426815509796,
-0.3669535517692566,
0.47613653540611267,
0.6489975452423096,
0.7030264735221863,
0.41566479206085205,
-0.4470692574977875,
-0.5568375587463379,
-0.4145461618900299,
-1.1619962453842163,
0.13407887518405914,
... |
Q: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: "@KyraNadiya_: These hoes ain't loyal ; no they ain't http://t.co/h1UBsVbkGl"
S... | true | 7 | NIv2 | task905_hate_speech_offensive_classification | zs_opt | [
-1.117663860321045,
1.027500867843628,
0.34882989525794983,
0.3809189200401306,
-0.7872521281242371,
-1.3558273315429688,
0.1695472002029419,
0.5067570805549622,
-0.05948720499873161,
0.07302524894475937,
-0.0387338362634182,
-0.07580851018428802,
-1.2456165552139282,
-0.4246142506599426,
... |
Teacher: In this task, you need to output 'Yes' if the given number is a prime number otherwise output 'No'. A 'prime number' is a a whole number above 1 that can not be made by multiplying other whole numbers.
Teacher: Now, understand the problem? If you are still confused, see the following example:
7
Solution: Yes
R... | No | 2 | NIv2 | task092_check_prime_classification | fs_opt | [
-0.21693994104862213,
0.9997367858886719,
0.23428724706172943,
-0.09544926881790161,
-0.13855484127998352,
-0.35296085476875305,
0.7000536918640137,
0.9309839010238647,
0.3312728703022003,
-0.19119733572006226,
-0.4583156704902649,
-0.047996509820222855,
-0.46604350209236145,
0.10054343938... |
Teacher:Given a sentence in the Central Khmer, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Teacher: Now, understand the problem? Solve this instance: ការកាត់ទោសនេះត្រូវបានកំណត់ចាប់ផ្តើមនៅខែមិថុនាទី3 និងការចោទប្រកាន់ជាច្រើនដែ... | 裁判は六月三日に始まることになっており、彼らが直面する多くの嫌疑が連邦の公正行政法に基づいている。 | 6 | NIv2 | task1122_alt_khm_ja_translation | zs_opt | [
0.19334271550178528,
0.2833596467971802,
-0.17654308676719666,
-1.1115434169769287,
-0.3733745813369751,
-0.6172876358032227,
0.45163416862487793,
0.42311590909957886,
-0.3886393904685974,
-0.5088772773742676,
0.22779503464698792,
0.24207313358783722,
-0.7421310544013977,
0.260428726673126... |
In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it, i.e., the proper nouns in the passage. Your job is to determine whether information from more than one term is needed to answer the question. Indicate your choice as `a` for Yes or... | b
| 1 | NIv2 | task232_iirc_link_number_classification | fs_opt | [
0.384980171918869,
0.6583414077758789,
-0.36385130882263184,
-0.32941266894340515,
-0.0918426364660263,
-0.11892233788967133,
0.6446458697319031,
0.9948015809059143,
0.39236652851104736,
-0.00411068694666028,
-0.2004658579826355,
0.5298242568969727,
-0.5966435670852661,
0.09588725864887238... |
Teacher:"Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). Given a prompt and two responses, identify which response is the type of "yes, and". Ind... | Response 2 | 6 | NIv2 | task362_spolin_yesand_prompt_response_sub_classification | zs_opt | [
0.02698185108602047,
0.8358622789382935,
0.3749368488788605,
-0.3836950659751892,
0.3039204478263855,
-0.8814849853515625,
0.3794761598110199,
0.4648698568344116,
-0.0017229851800948381,
-0.3269692659378052,
-0.4618806838989258,
0.03917336463928223,
-0.8823169469833374,
-0.1274585723876953... |
Q: Given Statement1 and Statement2 in Croatian, identify a label based on the relationship between them. There are two possible labels: 'cause' and 'effect'. If Statement2 is the consequence of Statement1 then the Label is 'effect'. If Statement2 is the cause of Statement1 then the label is 'cause'
Statement1: Fotograf... | effect | 7 | NIv2 | task1629_copa_hr_classification | zs_opt | [
-1.1518350839614868,
0.37519627809524536,
-0.39852556586265564,
-0.14673276245594025,
-0.5707440376281738,
-0.3112868070602417,
0.07423068583011627,
0.14117690920829773,
0.1614447832107544,
-0.21530722081661224,
-0.18269270658493042,
0.47597041726112366,
-0.8475477695465088,
0.478062212467... |
In this task, you're given a review from Amazon. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good.
Hat was damaged before shipping. The damage affected the quality. Company made the situation rig... | 4
| 0 | NIv2 | task1310_amazonreview_rating_classification | fs_opt | [
0.005684918724000454,
0.011185163632035255,
-0.47188660502433777,
-0.28804582357406616,
0.49884986877441406,
-0.12963584065437317,
0.5021552443504333,
0.45404601097106934,
-0.00621502660214901,
0.35980820655822754,
-0.28766727447509766,
-0.3222310543060303,
-0.7071051597595215,
-0.07103428... |
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 after the first i elements. i will always have a value less than the length of A.
Example input: 3, ['a', '34', 'f', '931', '7', '3432', '13245', '762']
Example output: 931, 7, 3432, 13245, 762
Exa... | 6199, 7471, 1833, 4677, 2965, N | 3 | NIv2 | task064_all_elements_except_first_i | fs_opt | [
0.03494420647621155,
0.5381186604499817,
-0.27937138080596924,
-0.7197805643081665,
-0.4712661802768707,
-0.0798894613981247,
0.7927151918411255,
-0.08418464660644531,
-0.3151911497116089,
-0.4647408723831177,
-0.7419121265411377,
0.10809892416000366,
0.00920303538441658,
-0.40369117259979... |
You will be given a text in Russian language which contain different emotion labels from the list - ['joy', ' sadness', 'surprise', 'fear', 'anger']. You need to output the incorrect emotion label, which is irrelevant to the input text. Your answer (i) should contain only one emotion label (ii) should be unambiguous.
... | sadness
| 3 | NIv2 | task1663_cedr_ru_incorrect_classification | fs_opt | [
-0.5547059774398804,
-0.2316902130842209,
0.12955282628536224,
-0.41432809829711914,
-0.6357820630073547,
0.25302398204803467,
0.6119809150695801,
0.801331102848053,
-0.12689727544784546,
-0.3986608386039734,
-0.5669080018997192,
-0.14190542697906494,
-0.339364230632782,
0.0419611781835556... |
Given a post that is a real-life anecdote of a complex ethical situation and a question asks if AUTHOR, NOBODY, EVERYBODY, or OTHER is wrong in the situation. Answer the question and classify your answers into yes or no.
Q: Is AUTHOR wrong in the post ? POST : So a few years back my wife (GF at the time) and I met up ... | yes
****
| 4 | NIv2 | task502_scruples_anecdotes_whoiswrong_verification | fs_opt | [
0.3056327998638153,
0.11948741972446442,
-0.32271134853363037,
0.41880422830581665,
0.3154250383377075,
-0.621208906173706,
1.024287462234497,
0.9278440475463867,
-0.12012545019388199,
-0.0951559990644455,
0.05186924710869789,
0.339588463306427,
-0.9622370600700378,
-0.03773252293467522,
... |
Given a real-life anecdote of a complex ethical situation, generate a suitable title that describes the main event/root cause of the situation. Imagine that the given text is a social media post, and you have to write the title of the post, so the users can decide to read the main text or not.
The title makes me look ... | asking a girl out, she rejects me, and I get upset about it | 0 | NIv2 | task500_scruples_anecdotes_title_generation | zs_opt | [
0.036151327192783356,
0.07781204581260681,
0.17903488874435425,
-0.3906402587890625,
0.36273807287216187,
-0.3474839925765991,
0.5946674346923828,
0.6297610998153687,
-0.1660197675228119,
-0.20726391673088074,
0.14468295872211456,
0.505052924156189,
-0.8166355490684509,
0.00496549345552921... |
In this task, you're given a passage, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both passage and link information to create the q... | Which city was larger at the time Berk was moved to the Lubbock campus, Odessa or El Paso?
| 3 | NIv2 | task236_iirc_question_from_passage_answer_generation | fs_opt | [
0.38307055830955505,
0.38908737897872925,
-0.9058466553688049,
0.162179097533226,
0.2744641900062561,
-0.33805638551712036,
0.8600542545318604,
0.9327131509780884,
-0.09594257920980453,
0.21028822660446167,
-0.11299045383930206,
0.9657675623893738,
-0.5844196081161499,
0.2949586510658264,
... |
Q: In this task, you are given a sentence or phrase in English. You must translate it to Xhosa in a way that is equivalent in terms of meaning and grammatically correct.
23. Identity
A: | Yalatha | 7 | NIv2 | task872_opus_xhosanavy_translation_eng_xhosa | zs_opt | [
0.15831506252288818,
0.9823859930038452,
0.3675028085708618,
-0.5358144044876099,
-0.8086983561515808,
-0.8880537748336792,
1.6369339227676392,
-0.13746115565299988,
0.2990202307701111,
-0.3197200298309326,
-0.09375498443841934,
-0.43141961097717285,
-0.8016759157180786,
-0.515644550323486... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a short passage that conveys a stereotype. A stereotype is an over-generalized belief about a particular group of people. You are expected to classify the passage into nine types of stereotype: race-color, socioecon... | gender | 1 | NIv2 | task317_crows-pairs_classification_stereotype_type | fs_opt | [
-0.049901898950338364,
0.447174072265625,
-0.039668530225753784,
-0.0005202438915148377,
-0.168878436088562,
0.1477147936820984,
0.4746275246143341,
0.9983236789703369,
0.4676210284233093,
0.30511897802352905,
-0.35936105251312256,
0.19659456610679626,
-0.5489840507507324,
0.00030404748395... |
In this task, you are given inputs k, i, and A, where k and i are integers and A is a list. You need to find every ith element of A starting from the kth element. The process stops when the position of the next ith element exceeds the length of the list.
Q: 1, 2, ['K', 'B', '8527', 'Y']
A: | K, 8527 | 4 | NIv2 | task1551_every_ith_element_from_kth_element | zs_opt | [
0.2841293215751648,
0.5985950827598572,
-0.7130294442176819,
-0.6391904950141907,
-0.5228915810585022,
-0.38783109188079834,
0.4283719062805176,
-0.344419002532959,
-0.2029266208410263,
0.06918445974588394,
-0.5014330148696899,
-0.4775431454181671,
0.4033859968185425,
0.48317667841911316,
... |
Detailed Instructions: 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 answer "no".
Q: Tweet: Gagging for a jacket potato with Che... | yes | 9 | NIv2 | task196_sentiment140_answer_generation | zs_opt | [
-0.8468759059906006,
0.0412508100271225,
0.6478996276855469,
0.5907617211341858,
0.04007238522171974,
-1.14300537109375,
0.17205260694026947,
0.7489113807678223,
0.2652567923069,
-0.23695099353790283,
-0.3280567526817322,
-0.15004314482212067,
-0.04090241342782974,
-0.32520532608032227,
... |
Detailed Instructions: In this task, you're given four sentences of a story written in natural language in which one part is missing. Your job is to predict the position and missing part of the story and return in the following format: position, missing part. The missing part is a sentence that completes the story, and... | 1, I joined a fantasy football league for the first time this year. | 9 | NIv2 | task299_storycloze_sentence_generation | zs_opt | [
-0.3135014772415161,
0.9329744577407837,
-0.3557829260826111,
-0.8618752956390381,
0.014024825766682625,
-0.40629827976226807,
1.1142487525939941,
-0.10431037843227386,
0.2974887490272522,
-0.16156885027885437,
-0.6777349710464478,
-0.7522960305213928,
-0.7015793323516846,
-0.0009526471840... |
Detailed Instructions: In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. Once you create a question you also need to provide the correct answer for it. Write your answer like "Question: your question, Answer: your answe... | Question: Who travels to Rome?, Answer: Ann | 9 | NIv2 | task182_duorc_question_generation | zs_opt | [
0.22613662481307983,
0.025164179503917694,
-0.27690330147743225,
-0.04317197948694229,
0.07061150670051575,
0.37850916385650635,
0.3947298526763916,
0.7865599393844604,
0.26806575059890747,
-0.249829962849617,
-0.1877366006374359,
0.06894756853580475,
-0.09478747844696045,
0.16654576361179... |
Detailed Instructions: In this task, you're given a text which is the body of the document. Indicate your answer as "Yes" if the text is about a person, otherwise indicate your answer as "No". Don't generate anything else apart from "Yes" or "No". Pay attention that for your answer to be "Yes", the passage should be ge... | Yes | 8 | NIv2 | task632_dbpedia_14_classification | zs_opt | [
0.30874913930892944,
0.4336279034614563,
0.13824225962162018,
-0.31188681721687317,
-0.5387563705444336,
-0.6833646893501282,
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0.25275909900665283,
-0.3067077398300171,
-0.19959717988967896,
-0.12422987073659897,
-1.1087450981140137,
0.3712171912193298... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Polish.
Example Input: سأوضح أكثر
Example Output: A więc zobaczmy.
Example Input: الحقيقة رقم واحد عن الكذب: الكذب عمل تعاوني.
Example Output: Prawda numer jeden: kłamstwo wymaga współpracy.
Example Input: والتي تترجم بصورة تلقائية... | Potocznie są tłumaczone: "" Myślę, wiec jestem "". Ale jest lepsze tłumaczenie.
| 3 | NIv2 | task1107_ted_translation_ar_pl | fs_opt | [
-0.5985115766525269,
0.8429974317550659,
-0.22877919673919678,
-0.8588661551475525,
-0.8867119550704956,
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1.2501331567764282,
-0.36229339241981506,
0.054789911955595016,
-0.29085826873779297,
-1.136970043182373,
0.10998885333538055,
-0.9146888852119446,
0.13678389787673... |
Languages typically provide more than one grammatical construction to express certain types of messages. Your task is to generate a senetence with the same meaning as given sentence, but with different grammatical construction.
Input: Consider Input: Linda extended him the courtesy
Output: Linda extended the courtesy... | Output: John grunted the instructions to a man who was from work
| 2 | NIv2 | task132_dais_text_modification | fs_opt | [
-0.8909528851509094,
1.2715530395507812,
0.20196311175823212,
-0.6789866089820862,
-0.030107323080301285,
-1.523632526397705,
0.41059038043022156,
0.1447189301252365,
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-0.6908003091812134,
-0.47564274072647095,
0.2091955542564392,
-0.5022739171981812,
-0.2516418397426605... |
Part 1. Definition
Given a 'poster' sentence and a corresponding 'response' (often, from Facebook or Reddit)classify the sentiment of the given response into four categories: 1) Positive, 2) Negative, 3) Neutral, and 4) Mixed if it contains both positive and negative.
Part 2. Example
Poster: Stopped by Fashion Week and... | Negative | 7 | NIv2 | task823_peixian-rtgender_sentiment_analysis | fs_opt | [
-0.355670690536499,
-0.14087846875190735,
-0.28207898139953613,
0.3488004207611084,
0.3733612596988678,
-0.24727267026901245,
0.5981190800666809,
0.46937787532806396,
0.5021218061447144,
0.3426229953765869,
-0.5262265801429749,
0.31659120321273804,
0.33214378356933594,
0.24555300176143646,... |
TASK DEFINITION: In this task, you're given a short article. Your job is to classify the article based on its category. Use the following classification labels, 0. World, 1. Sports, 2. Business, 3. Science or Technical. Label the text "0" if it contains information related to world. Label the text "1" if it contains in... | 3
| 8 | NIv2 | task1541_agnews_classification | fs_opt | [
-0.16438984870910645,
0.4430791735649109,
-0.28812623023986816,
0.02955383062362671,
0.10591987520456314,
0.26901572942733765,
-0.1386062204837799,
0.32550951838493347,
0.3757687509059906,
-0.24062910676002502,
-0.44336795806884766,
0.3205883800983429,
-0.5325045585632324,
-0.3589777648448... |
Teacher: In this task, you're given the beginning and the ending of a three-part story. Your job is to complete the short story by writing a middle sentence that seamlessly connects the first and last sentence. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid... | People use trees for all sorts of products. | 2 | NIv2 | task067_abductivenli_answer_generation | fs_opt | [
-0.27751439809799194,
0.5087393522262573,
-0.2794674038887024,
-0.8706950545310974,
-0.43793344497680664,
0.041180334985256195,
0.5604881048202515,
0.9068311452865601,
-0.16328255832195282,
-0.3627505898475647,
-0.27285587787628174,
0.2041349709033966,
0.05132730305194855,
-0.2395265996456... |
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Polish.
Problem:Alcuni dei più grandi passi in avanti nella civiltà e nella tecnologia sono avvenuti perché abbiamo esplorato.
Solution: | Niektóre z wielkich osiągnięć cywilizacji i technologii pojawiły się dzięki eksploracjom. | 8 | NIv2 | task1253_ted_translation_it_pl | zs_opt | [
-0.676182746887207,
1.1296156644821167,
-0.02284860983490944,
-0.20293773710727692,
-0.5204623937606812,
-1.2371104955673218,
-0.50096595287323,
0.05455528199672699,
-0.21633681654930115,
-0.3691592812538147,
0.1883777230978012,
-0.019970647990703583,
-0.660786509513855,
-0.020912077277898... |
Definition: Given a sentence in Chinese, provide an equivalent paraphrased translation in Spanish that retains the same meaning both through the translation and the paraphrase.
Input: WORHP，也称为eNLP（欧洲NLP解算器），是一个数学软件库，用于在数值上大规模地解决连续的非线性优化问题。
Output: | WORHP, también conocida como eNLP (solucionador europeo de PNL) por la ESA, es una biblioteca de software matemático para resolver numéricamente problemas continuos de optimización no lineal a gran escala. | 2 | NIv2 | task810_pawsx_chinese_spanish_translation | zs_opt | [
-0.8420644998550415,
0.00023362122010439634,
0.5886167883872986,
-0.11952264606952667,
-0.516781747341156,
-0.16221776604652405,
0.20349740982055664,
1.1413187980651855,
0.4100825786590576,
-0.6024210453033447,
-0.9082683324813843,
0.06704089790582657,
-0.47698819637298584,
0.2652420997619... |
Given the task definition and input, reply with output. You are given a question-answer pair. Answer with their type. Pay attention that there may be more than one correct type, but you only have to choose one. In your responses, use of the following types:
(1) Humans: Any individual or group of humans, including fict... | Entity. | 5 | NIv2 | task046_miscellaneous_question_typing | zs_opt | [
0.5478489398956299,
0.3158342242240906,
-0.25463956594467163,
0.5564954280853271,
-0.4348539412021637,
-0.9480075240135193,
0.47905948758125305,
0.6740363836288452,
-0.4486883282661438,
-0.0191663708537817,
-0.5218584537506104,
0.3320651054382324,
-0.12476783990859985,
-0.3484556972980499,... |
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command.... | I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_TURN_LEFT I_RUN I_TURN_LEFT I_TURN_LEFT I_RUN I_TURN_LEFT I_TURN_LEFT I_RUN | 6 | NIv2 | task130_scan_structured_text_generation_command_action_long | fs_opt | [
0.1724921613931656,
0.6221813559532166,
-0.3296443223953247,
-0.042962752282619476,
0.13863514363765717,
0.05197659507393837,
0.35808223485946655,
0.16077059507369995,
-0.24061253666877747,
-0.47606390714645386,
-0.8659102916717529,
-0.33068913221359253,
-0.7510870695114136,
-0.17484614253... |
In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify given passage into two categories: (1) "yes" if the given context is useful in answering the question, and (2) "no" if the given context is not useful.
Q: Context: Sitting with family. Staring at... | yes | 4 | NIv2 | task242_tweetqa_classification | zs_opt | [
0.006315592676401138,
0.4892239272594452,
0.3655712604522705,
0.6788766980171204,
0.07403422892093658,
-0.4581647515296936,
0.4753241539001465,
-0.07506326586008072,
0.293834924697876,
0.29996854066848755,
0.20602543652057648,
-0.046403590589761734,
-0.15989679098129272,
-0.629328131675720... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Farsi.
Example: Così diventa un igloo.
Example solution: این یک خانه ی اسکیمو می شود.
Example explanation: The Italian sentence is correctly translated into Farsi, because the meaning is preserved.
Problem: Una trasformazione era i... | Solution: تغییر در زندگی او شروع شده بود. | 5 | NIv2 | task1254_ted_translation_it_fa | fs_opt | [
0.1354352980852127,
0.5360448360443115,
-0.13251173496246338,
-0.32011598348617554,
0.036912716925144196,
-1.0249111652374268,
1.200977087020874,
-0.011136163026094437,
0.22741156816482544,
-0.308260053396225,
-0.7248116731643677,
0.452223539352417,
-1.0071228742599487,
0.38070741295814514... |
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.
Let me give you an example: স্তন্যপান সম্পর্কে অভিভাবকদের সচেতন ও উৎসাহদানে গুরুত্ব বিশ্ব স্তন্যপান সপ্তাহ পয়লা থেকে ৭ই আগস্ট
The answer to this exampl... | नागरी उड्डाण क्षेत्रातही भारत प्रचंड वेगाने पुढे जातो आहे. | 8 | NIv2 | task1061_pib_translation_bengali_marathi | fs_opt | [
-0.650453507900238,
0.461358904838562,
-0.4481589198112488,
0.37636804580688477,
-0.8343469500541687,
-0.8700001239776611,
0.0583292655646801,
0.590430736541748,
-0.03642849251627922,
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-0.695620596408844,
0.06615860760211945,
-0.528131902217865,
-0.2345345914363861,
... |
From the given sentence, extract the phrase (often noun or verb) that carries the given relationship. The generated phrase should be present in the sentence.
Example: Given Relationship: 'make', Sentence: 'Jenny made the announcement that her baby was an alien.'
Example solution: made
Example explanation: The output re... | Solution: backing | 5 | NIv2 | task678_ollie_actual_relationship_answer_generation | fs_opt | [
-0.3120903968811035,
1.2272233963012695,
-0.0329287126660347,
0.19212868809700012,
-0.3113013505935669,
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0.9887686967849731,
0.11253579705953598,
0.1808168739080429,
-0.8119086027145386,
0.731002688407898,
-0.40458598732948303,
0.1889694482088089,
... |
Teacher:In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You... | Yes | 6 | NIv2 | task1199_atomic_classification_xattr | zs_opt | [
0.20398929715156555,
0.046890128403902054,
0.4949679374694824,
-0.09475093334913254,
-0.36816027760505676,
-1.040083646774292,
1.0198854207992554,
0.66478431224823,
-0.31034719944000244,
-0.24140644073486328,
-0.11107729375362396,
-0.3823035955429077,
-0.7246810793876648,
-0.23586583137512... |
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 Persian. Your job is to translate the Farsi sentence into Italian.
این یک خانه ی اسکیمو می شود.
Solution: Così diventa un igloo.
Why? The Farsi sentence is correctly tran... | Sta facendo progredire la nostra abilità di salvare le foreste e di limitare i cambi climatici. | 0 | NIv2 | task1271_ted_translation_fa_it | fs_opt | [
-0.4558435380458832,
0.5634630918502808,
-0.35019153356552124,
-0.508937418460846,
-0.6856814622879028,
-1.2988226413726807,
0.8614238500595093,
0.42191627621650696,
0.141081303358078,
-0.5030766129493713,
-0.495805025100708,
0.7291172742843628,
-0.7299139499664307,
0.3462270498275757,
0... |
Given a premise and two alternatives in Marathi, choose the alternative that is a more plausible cause or effect of the situation described by the premise. The premise is the 'विधान' field and the alternatives are the 'पर्याय A' and 'पर्याय B' fields The output should either be "पर्याय A" or "पर्याय B" based on your ju... | पर्याय B
| 0 | NIv2 | task942_copa_mr_commonsense_reasoning | fs_opt | [
-0.5235328674316406,
0.13672767579555511,
-0.06852230429649353,
0.19129997491836548,
-0.7769571542739868,
-0.3371563255786896,
0.36354249715805054,
0.5339623689651489,
0.5007539391517639,
-0.11889312416315079,
-0.8805174827575684,
-0.43815600872039795,
-0.32295286655426025,
0.0572676509618... |
In this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Romanian language.
Example: A man is spreading shreded cheese on a pizza.
Example solution: Un bărbat pune brânză mărunțită pe o pizza.
Example explanation: In the given translation process, the tense ... | Solution: Doi câini maro se fugăresc unul pe altul prin zăpadă. | 5 | NIv2 | task1436_ro_sts_parallel_language_translation_en_to_ro | fs_opt | [
-0.561175525188446,
0.524744987487793,
0.34936174750328064,
-0.4216890335083008,
-0.11975934356451035,
0.12985529005527496,
1.2329537868499756,
0.9015328884124756,
0.6807230114936829,
-0.6731070876121521,
-0.42942991852760315,
1.0390617847442627,
-0.5548852682113647,
0.15238723158836365,
... |
Given the task definition, example input & output, solve the new input case.
Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the ou... | ['CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_AND_PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_... | 1 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | fs_opt | [
0.38037043809890747,
0.11116594076156616,
0.08638930320739746,
0.23890948295593262,
0.6210439205169678,
-0.41372549533843994,
0.510610044002533,
1.0491828918457031,
-0.2911575138568878,
0.08121374249458313,
0.19043414294719696,
-0.48629218339920044,
-0.35843759775161743,
-0.017971929162740... |
Part 1. Definition
Given an Amazon customer review, write a title for the review. The preferred titles are under fifteen words.
Part 2. Example
I was very surprised at the high quality of the stitching, the sturdiness of the handles and the padding for my laptop. The price is amazingly low and the look is very good. I ... | Tech Armor Anti-flare | 7 | NIv2 | task1342_amazon_us_reviews_title | fs_opt | [
-0.004024474881589413,
0.08595141023397446,
-0.41661715507507324,
-0.06291317939758301,
0.32993435859680176,
-0.3478643298149109,
0.8474389910697937,
0.09534378349781036,
0.612978994846344,
0.2611970901489258,
-0.126257985830307,
0.17993199825286865,
-0.917021632194519,
-0.1143734455108642... |
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