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 |
|---|---|---|---|---|---|---|
Part 1. Definition
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.
Part 2. Example
2, 3, ['a', '34', 'f', '931', ... | E, 9555, i, 2481, q, I, 2767, 8141, 505, s, d, 15, R | 7 | NIv2 | task1551_every_ith_element_from_kth_element | fs_opt | [
0.6105020642280579,
-0.21637609601020813,
-0.7925288677215576,
-0.5441644787788391,
-0.14711669087409973,
-0.3723253607749939,
0.7606438398361206,
0.5051901340484619,
-0.30147212743759155,
-0.019395599141716957,
-0.6998975872993469,
-0.10815344750881195,
-0.20507057011127472,
0.58592867851... |
Detailed Instructions: The task is to generate text based off of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons intent behind doing the event, i.e. why did the person do that action.
Q: PersonX leads to PersonY's death
A: | to do what they want | 9 | NIv2 | task1596_event2mind_text_generation_2 | zs_opt | [
-0.13012033700942993,
0.6491519808769226,
-0.008558211848139763,
-0.9376536011695862,
-0.6207423210144043,
-1.2432150840759277,
0.3996052145957947,
0.08823166787624359,
0.6221867799758911,
0.11301323771476746,
0.001460969913750887,
0.09196378290653229,
-0.45723217725753784,
0.8516709208488... |
In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to return one of the emotions which are expressed by the Character in the given sentence. For ... | festive | 4 | NIv2 | task293_storycommonsense_emotion_text_generation | zs_opt | [
-0.18607623875141144,
-0.06592337787151337,
-0.22938615083694458,
0.15329059958457947,
0.20990470051765442,
0.21613040566444397,
0.6593315601348877,
0.9403429627418518,
0.43474769592285156,
0.10309745371341705,
0.02647274360060692,
-0.5307264924049377,
-0.41695159673690796,
-0.077210657298... |
In this task, you are given a statement spoken by a politician in natural language. Your task is to generate the subject of the discussion for the given statement. The subject generated is not necessarily a part of the given input. Your answer should contain one or more words.
Let me give you an example: Says the Anni... | elections | 8 | NIv2 | task613_politifact_text_generation | fs_opt | [
0.10900509357452393,
-0.04755832254886627,
-0.14815273880958557,
0.7518650889396667,
-0.5103979110717773,
-0.6507753133773804,
0.15481781959533691,
0.16356265544891357,
-0.5315035581588745,
0.5294108390808105,
-0.7314366698265076,
0.01227513886988163,
-0.19578540325164795,
-0.3353013396263... |
A text is given in Hindi. Translate it from the Hindi language to the Malayalam language. The translation must not omit or add information to the original sentence.
Q: मेरी और आपकी देशभक्ति में कोई कमी नहीं है।
A: | നിങ്ങളുടെ ഈ സ്നേഹമാണ് ഇന്നു നിങ്ങളോട് ഹൃദയം തുറന്ന് ചിലതു പറയാന് എന്നിക്കു പ്രേരണയേകുന്നത്. | 4 | NIv2 | task1017_pib_translation_hindi_malayalam | zs_opt | [
-0.24933916330337524,
0.39588725566864014,
-0.04064050316810608,
-0.4502183198928833,
-0.1251780092716217,
-1.3632092475891113,
1.4417164325714111,
-0.0966666042804718,
-0.3567817211151123,
-0.7953735589981079,
-0.7331174612045288,
-0.2822815477848053,
-1.0056458711624146,
0.16239604353904... |
You are given a sentence in English. Your job is to translate the English sentence into Galician.
Q: They appointed an officer who would mediate between the vendor and the purchaser.
A: Nomearon a un encargado que mediaría entre o vendedor e o comprador.
****
Q: My son's birth is on this camera.
A: O nacemento do me... | sobre as causas neurolóxicas da dislexia nos nenos, cando atopei un feito sorprendente que me gustaría compartir hoxe con todos vós.
****
| 4 | NIv2 | task1090_ted_translation_en_gl | fs_opt | [
-0.16434156894683838,
0.3996748924255371,
-0.2902242839336395,
-0.35211271047592163,
-0.3491021394729614,
-0.5133605003356934,
0.04490264132618904,
1.0034650564193726,
0.480805903673172,
-0.35399457812309265,
0.3920852541923523,
0.7627962231636047,
-0.8979138731956482,
0.6739221811294556,
... |
Given a document, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link].
One example: Verify if the sentiment of the following document towards the entity Bill Clinton is Positive . ... | no | 6 | NIv2 | task423_persent_document_sentiment_verification | fs_opt | [
-1.0673744678497314,
0.47039926052093506,
0.27008822560310364,
0.03177758678793907,
0.022437449544668198,
-1.6929173469543457,
0.8878353834152222,
0.3416253924369812,
-0.00279458099976182,
0.40427330136299133,
0.1936015635728836,
0.5348765850067139,
-0.5473189353942871,
-0.3247397840023041... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
Q: ヘレン ： ありがとうクリス
A: | HW: Grazas, Chris. | 4 | NIv2 | task1095_ted_translation_ja_gl | zs_opt | [
-0.061520762741565704,
0.7246242761611938,
-0.14332018792629242,
-0.338487446308136,
-0.39431414008140564,
-1.1628124713897705,
0.11248105764389038,
-0.23236998915672302,
-0.03583914041519165,
-1.1121373176574707,
0.15052784979343414,
0.550179660320282,
-0.061409685760736465,
0.56355220079... |
Teacher:In this task, you are given a question containing a blank (_) and two options. You should pick the best option to answer the question. Please answer with "A" or "B".
Teacher: Now, understand the problem? Solve this instance: Donald was chosen to be a model while Dennis was passed over, because _ was exceptional... | A | 6 | NIv2 | task1391_winogrande_easy_answer_generation | zs_opt | [
-0.03677766025066376,
-0.09423809498548508,
0.06271544843912125,
-1.2058284282684326,
-0.7306349277496338,
-0.6240363717079163,
0.5226483941078186,
0.4282239079475403,
0.42047032713890076,
0.29170727729797363,
-0.3043723702430725,
0.47896134853363037,
0.27837544679641724,
-0.22159905731678... |
In this task, we ask you to write a question that asks about "event duration", based on a given sentence. The question will likely start with "How long". Your question should be answerable based on the common knowledge of how long certain events usually last. Don't create questions which have explicit mentions of answe... | How long did Peter want to bark for?
| 7 | NIv2 | task003_mctaco_question_generation_event_duration | fs_opt | [
0.27990058064460754,
0.16271722316741943,
-0.1274055540561676,
0.0036579344887286425,
-0.4821966886520386,
-0.7918850183486938,
-0.2879752516746521,
0.4819837212562561,
0.07175344973802567,
-0.3661864995956421,
-0.7726884484291077,
0.7697353363037109,
-0.5020344257354736,
-0.50313955545425... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Polish.
רואים זאת בספרי-לימוד המקובלים. | Widzimy to w zwykłych podręcznikach. | 0 | NIv2 | task1112_ted_translation_he_pl | zs_opt | [
-0.7011926770210266,
0.8521788120269775,
-0.3307434916496277,
-0.24814042448997498,
-0.22363831102848053,
-0.03911589831113815,
0.6816723346710205,
-0.5718757510185242,
0.9520038366317749,
-1.1738475561141968,
-0.791381299495697,
-0.07079042494297028,
-0.13778796792030334,
0.46133536100387... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence from a conversation between a human and a virtual assistant. Your task is to identify whether the sentence is a question or not. Answer with Yes or No.
Please give confirmation details: Booking a table at Oneup at 4:4... | No | 1 | NIv2 | task879_schema_guided_dstc8_classification | zs_opt | [
-0.13074272871017456,
0.8213449120521545,
0.00807552132755518,
0.3976203203201294,
-0.6113052368164062,
0.39546310901641846,
1.0186718702316284,
0.587935209274292,
0.6762298345565796,
0.2239990532398224,
0.4782277047634125,
-0.27157866954803467,
-0.39072608947753906,
-0.40070849657058716,
... |
Part 1. Definition
You are given a statement written in Assamese. 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 .
Part 2. Example
Statement: ৰোমান সম্ৰাজ্যৰ সময়ত আনুমানিক খ্ৰীষ্টীয় দ্বিতীয় শতিকাত নেমু দক্ষ... | বাংলাদেশ | 7 | NIv2 | task944_wiki_cloze_as_multiple_choice_question_answering | fs_opt | [
0.1908111870288849,
0.5788614749908447,
0.31008607149124146,
0.272596538066864,
-0.0667998343706131,
0.06212111935019493,
-0.593454122543335,
0.8870788812637329,
0.22636528313159943,
0.4037517309188843,
0.19294047355651855,
0.4985312521457672,
-0.3583953380584717,
-0.4513036012649536,
1.... |
Teacher: In this task, you are given a sentence in the Bulgarian language and corresponding English translation of this sentence. Here, your job is to generate label "yes" if translation is right, otherwise generate label "no".
Teacher: Now, understand the problem? If you are still confused, see the following example:
... | no | 2 | NIv2 | task273_europarl_classification | fs_opt | [
-0.7740705013275146,
0.1994916796684265,
0.4684686064720154,
0.47381412982940674,
0.12116779386997223,
-0.8205391764640808,
0.8355751037597656,
0.7289047241210938,
0.24263229966163635,
0.08967609703540802,
-0.05098070204257965,
1.1502695083618164,
-0.46317797899246216,
0.5049920082092285,
... |
Detailed Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into English.
Q: Por que extraña razón non presta atención a David e non entende que David non vai loitar con el ata o último momento?
A: | Why is he so strangely oblivious to David that he doesn't understand that David's not going to fight him until the very last moment? | 9 | NIv2 | task1238_ted_translation_gl_en | zs_opt | [
-0.3077011704444885,
0.8445714712142944,
0.021875500679016113,
-2.2489676475524902,
-0.4388786554336548,
-1.0632565021514893,
0.5010998249053955,
0.13440479338169098,
0.6783159971237183,
0.016368787735700607,
0.12772950530052185,
-0.2598034739494324,
-1.5723600387573242,
0.1091160625219345... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Farsi.
Io e mio marito abbiamo un figlio che vive con noi, di cui io sono il padre biologico, e il nostro surrogato della maternità era Laura, la madre lesbica di Olive e Lucy di Minneapolis. | من و شوهرم پسری داریم که همیشه پیش ما زندگی می کند و من پدر بیولوژیکی اش هستم ، و مادر واسطه برای بارداری او لورا بود ، مادر لزبین اُلیور و لوسی در مینیاپلیس. | 0 | NIv2 | task1254_ted_translation_it_fa | zs_opt | [
-1.1932955980300903,
0.5806816816329956,
-0.24886803328990936,
-0.11242302507162094,
-0.8555209636688232,
0.23383963108062744,
0.1972644031047821,
-0.05804824084043503,
0.4849931597709656,
0.023596644401550293,
-0.09173870086669922,
0.7198305130004883,
-1.1243311166763306,
-0.2822649478912... |
In this task, you're given a short story of five sentences written in natural language. However, the order of the given story is not correct. Your job is to return the correct order for the given five sentences to create a coherent short story with the new order that has the correct flow. Generate your answer using the... | 12354 | 4 | NIv2 | task300_storycloze_order_generation | zs_opt | [
-0.04973222687840462,
0.6895042657852173,
-0.19325026869773865,
-0.17440083622932434,
-0.23184537887573242,
-0.7841536998748779,
0.4388448894023895,
0.5120975375175476,
-0.269614040851593,
0.22827354073524475,
-0.9148880243301392,
-0.5864219665527344,
-0.7856723070144653,
0.159499347209930... |
Given an Amazon customer review, write a title for the review. The preferred titles are under fifteen words.
Q: FAST shipping - item looks and works just like the original battery - came fully charged - would buy again!!
A: Highly recommended
****
Q: I bought this to improve my connection to my PS3 from mine router/m... | Practical and fashion cover
****
| 4 | NIv2 | task1342_amazon_us_reviews_title | fs_opt | [
-0.1602359116077423,
0.27650612592697144,
-0.9262474179267883,
-0.6403243541717529,
-0.11118568480014801,
-0.7509690523147583,
0.9941476583480835,
0.03922324627637863,
-0.2272936999797821,
0.8113346099853516,
0.11527446657419205,
0.7649756669998169,
-0.5365869402885437,
-0.1812720298767089... |
Given the task definition and input, reply with output. 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 : Li () is the second most... | What type of romanization is the fourth name listed in the Song dynasty classic text Hundred Family Surnames? | 5 | NIv2 | task191_hotpotqa_question_generation | zs_opt | [
-0.5325977206230164,
0.6767106056213379,
-0.698726236820221,
0.35611802339553833,
0.4881763458251953,
-0.2302272468805313,
0.4453103542327881,
0.9110984802246094,
0.08304878324270248,
0.3400399684906006,
-0.41755369305610657,
0.36444059014320374,
-0.3123689591884613,
0.5306123495101929,
... |
In this task, you are given text for US Congressional and California state bills, your task is to generate a summary for this bill.
SECTION 1. WAIVER OF OXYGEN CONTENT REQUIREMENT FOR REFORMULATED
GASOLINE.
Section 211(k)(1) of the Clean Air Act (42 U.S.C. 7545(k)(1)) is
amended--
(1) ... | Requires the Administrator to promulgate regulations to ensure that the benefits of toxic air pollutant reductions under the reformulated gasoline program are maintained in States for which the oxygenate requirement is waived. Directs the Administrator, in promulgating such regulations, to: (1) develop designations for... | 0 | NIv2 | task1658_billsum_summarization | zs_opt | [
0.2233004868030548,
0.20539258420467377,
-0.23437049984931946,
-0.8868301510810852,
0.7780419588088989,
-0.5540360808372498,
0.5016735792160034,
1.1882681846618652,
-0.5363389253616333,
0.3540620803833008,
-0.4142504036426544,
0.11467824876308441,
-0.06982144713401794,
-0.3035110831260681,... |
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 event. You ... | No | 3 | NIv2 | task1205_atomic_classification_isafter | zs_opt | [
0.14478443562984467,
0.39741477370262146,
0.20529919862747192,
-0.1343388706445694,
-0.6491091847419739,
-0.6445971727371216,
1.100764274597168,
0.33385610580444336,
-0.48897796869277954,
-0.5297402739524841,
-0.39942649006843567,
-0.5095840692520142,
-0.5708019733428955,
0.220012381672859... |
In this task, you are given Wikipedia articles on a range of topics as passages and a question from the passage. We ask you to answer the question by classifying the answer as 0 (False) or 1 (True)
Example input: Passage: Property tax -- Property tax or 'house tax' is a local tax on buildings, along with appurtenant l... | 1 | 3 | NIv2 | task1661_super_glue_classification | fs_opt | [
0.6480989456176758,
0.9993549585342407,
-0.7839555740356445,
0.5817173719406128,
0.545272946357727,
-1.0128780603408813,
1.3693351745605469,
1.1154184341430664,
-0.5230324864387512,
0.39564037322998047,
-0.07895075529813766,
0.5513932704925537,
-1.1902881860733032,
-0.2763211131095886,
-... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Hebrew.
[EX Q]: 言われたそうです彼は自分の工具小屋へ行きノコギリを取り出し自分で切断しようと決めたのでした
[EX A]: עלינו למעשה לקטוע אותן. "" ורן החליט לגשת למחסן הגינה שלו לקחת מסור ולעשות זאת בעצמו.
[EX Q]: これが足で
[EX A]: אלו הן כפות הרגליים שלה.
[EX Q]: 私たちはこの耐性強化薬カリプソル... | אז אנחנו קוראים לתרופות משפרות החוסן שלנו תרופות "" paravaccines "" (מסייעות חיסון), שמשמעו דמויות-חיסון כי נראה שעשוי להיות להן הפוטנציאל להגן כנגד לחץ ולמנוע מעכברים לפתח דיכאון והפרעת דחק פוסט טראומטית.
| 6 | NIv2 | task1225_ted_translation_ja_he | fs_opt | [
-0.25025683641433716,
0.31204789876937866,
-0.38370439410209656,
0.3623336851596832,
-0.49571698904037476,
-0.6941224336624146,
1.13728666305542,
0.09929410368204117,
0.05715489014983177,
-0.1102028489112854,
-0.5860546231269836,
1.155451774597168,
-0.8844732046127319,
0.2946164608001709,
... |
Teacher:In this task, you need to count the number of nouns/verbs in the given sentence.
Teacher: Now, understand the problem? Solve this instance: Sentence: 'A woman stands in front of the mirror to take a picture'. Count the number of nouns in this sentence.
Student: | 4 | 6 | NIv2 | task155_count_nouns_verbs | zs_opt | [
-0.08081920444965363,
0.5400156378746033,
-0.4780985116958618,
-0.6161670684814453,
-0.38816767930984497,
-0.22066454589366913,
-0.3858981430530548,
0.7607664465904236,
0.5673052668571472,
0.07112576067447662,
-0.1634553074836731,
-0.7218474745750427,
-0.7045639157295227,
0.277017056941986... |
In this task, you are given Wikipedia articles on a range of topics as passages and a question from the passage. We ask you to answer the question by classifying the answer as 0 (False) or 1 (True)
One example is below.
Q: Passage: Property tax -- Property tax or 'house tax' is a local tax on buildings, along with appu... | 1 | 9 | NIv2 | task1661_super_glue_classification | fs_opt | [
0.2860572040081024,
0.6459439992904663,
-0.8181006908416748,
0.3085157871246338,
0.3700166940689087,
-0.7093716859817505,
1.3108699321746826,
1.2573658227920532,
-0.20953130722045898,
0.15390516817569733,
-0.6089787483215332,
0.767112135887146,
-1.069885492324829,
0.08792711794376373,
-0... |
Given a document, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link].
One example: Verify if the sentiment of the following document towards the entity Bill Clinton is Positive . ... | yes | 6 | NIv2 | task423_persent_document_sentiment_verification | fs_opt | [
-0.819093644618988,
-0.08091748505830765,
0.17447248101234436,
-0.3712244927883148,
0.2981414794921875,
-0.38171496987342834,
0.6693688631057739,
0.637826681137085,
0.1949397325515747,
0.07765364646911621,
-0.3691200911998749,
0.7664330005645752,
-0.11007431149482727,
0.46570444107055664,
... |
Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.
Ex... | Neither
| 1 | NIv2 | task904_hate_speech_offensive_classification | fs_opt | [
-0.6187145113945007,
0.10235469043254852,
0.5239834785461426,
0.4837075471878052,
-0.1414487361907959,
-0.6502598524093628,
0.08433617651462555,
1.0917712450027466,
0.5877201557159424,
0.6391136646270752,
-0.3519291579723358,
-0.44729068875312805,
-0.027968961745500565,
-0.8100776672363281... |
TASK DEFINITION: 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... | 1435b7211C
| 8 | NIv2 | task101_reverse_and_concatenate_all_elements_from_index_i_to_j | fs_opt | [
0.6283446550369263,
-0.23889175057411194,
-0.5933098793029785,
-0.4985252022743225,
0.037391260266304016,
0.07110703736543655,
0.9355814456939697,
0.4804292917251587,
-0.3053053617477417,
-0.14037296175956726,
-0.8194150924682617,
0.09055021405220032,
-0.022426940500736237,
0.0184170119464... |
A text is given in Bengali. Translate it from the Bengali language to the Gujarati language. The translation must not omit or add information to the original sentence.
[EX Q]: સામાજિક સમાવેશનની પ્રક્રિયાથી પ્રગતિનાં ફળ તમામને મળશે.
[EX A]: সামাজিক অন্তর্ভুক্তি সবার কাছে উন্নয়নের সুফল পৌঁছে দেওয়ার বিষয়টিকে নিশ্চিত ক... | গান্ধীজিও ‘বসুধৈব কুটুম্বকম’ এই ভারতীয় দর্শন মানতেন, আমরা গোটা বিশ্বকে একটিই পরিবার বলে মনে করি।
| 6 | NIv2 | task1068_pib_translation_gujarati_bengali | fs_opt | [
-0.13640405237674713,
0.20209506154060364,
-0.5384131669998169,
-0.6181240081787109,
-0.12273150682449341,
-0.3015062212944031,
1.1886491775512695,
0.03785399720072746,
0.7694939970970154,
-0.25501298904418945,
-0.6610952615737915,
-0.11639730632305145,
-0.6219967007637024,
0.1147624552249... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: sexual-explicit and non-sexual-explicit. A comment is considered sexual-explicit if it explicitly portrays sexual ma... | Non-sexual-explicit | 1 | NIv2 | task323_jigsaw_classification_sexually_explicit | fs_opt | [
-0.6000970602035522,
-0.0216322410851717,
0.1478457748889923,
0.4349019527435303,
0.3584531545639038,
0.15913835167884827,
0.6881777048110962,
0.9140415191650391,
0.10581734776496887,
0.7364209294319153,
0.31106072664260864,
0.23825743794441223,
-0.17565229535102844,
-0.9967747330665588,
... |
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: personal or non-personal depending on the topic... | personal | 4 | NIv2 | task1490_bengali_personal_hate_speech_binary_classification | zs_opt | [
-0.31490570306777954,
0.1257111132144928,
0.22899900376796722,
0.3126256465911865,
-0.30837708711624146,
-0.38264498114585876,
-0.31718629598617554,
0.15238216519355774,
-0.5645934343338013,
-0.3777156174182892,
-0.1131017655134201,
-0.5243372917175293,
-0.263247013092041,
-0.6113309860229... |
In this task you will be given a process, and a question. The process contains a sequence of steps that happen in order. The question asks about the effect of a certain event on another event. If the first event has a positive effect on the second event, answer with "for", if it has a negative effect, answer with "agai... | for
| 7 | NIv2 | task1727_wiqa_what_is_the_effect | fs_opt | [
0.5473257303237915,
0.5323662757873535,
-0.8227046728134155,
-0.008066195994615555,
-0.08836083114147186,
-0.8634483814239502,
0.043833181262016296,
1.2872977256774902,
0.10485338419675827,
0.20533262193202972,
0.11430486291646957,
0.17480963468551636,
-0.5207682251930237,
-0.0442092232406... |
A text is given in Hindi. Translate it from the Hindi language to the Telugu language. The translation must not omit or add information to the original sentence.
Let me give you an example: ఈ పోర్టల్ ను 2019-20 ఆర్థిక సంవత్సరానికి ఎన్జిఒ లు మరియు రాష్ట్రాలు ఆన్లైన్ లో దరఖాస్తులను దాఖలు చేయడం కోసం బుధవారం నాడు... | अब इस पाबंदी को समाप्त करने और विदेशी एयरलाइनों को एयर इंडिया में मंजूरी रूट के तहत 49 प्रतिशत तक निवेश करने की अनुमति देने का निर्णय लिया गया है। | 8 | NIv2 | task1046_pib_translation_telugu_hindi | fs_opt | [
-0.6119203567504883,
0.3140409588813782,
0.49457651376724243,
0.26567208766937256,
0.1319371461868286,
-0.1170235127210617,
-0.03329554945230484,
0.6250932216644287,
-0.3437888026237488,
0.48574620485305786,
-0.45530688762664795,
0.27845701575279236,
-0.3917587995529175,
0.2936064302921295... |
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 | 6 | NIv2 | task1201_atomic_classification_xintent | fs_opt | [
1.0000320672988892,
0.1498958170413971,
0.07950170338153839,
-0.10975183546543121,
-0.5774786472320557,
-1.0658599138259888,
1.2767468690872192,
0.6377268433570862,
-0.7882609963417053,
0.026028122752904892,
-0.3439091145992279,
-0.8249064683914185,
-0.9954236745834351,
-0.4498513042926788... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be shown a Persian passage and a question, and you have to determine whether the question is answerable based on the passage or not. If the question is answerable, choose the "True" label, and if not select "False"
کیم ... | True | 1 | NIv2 | task396_persianqa_classification | zs_opt | [
0.07014569640159607,
0.41912609338760376,
-0.12562765181064606,
0.0686391144990921,
-0.1348881721496582,
-0.3094857335090637,
0.6241458654403687,
0.10440066456794739,
0.3603993058204651,
0.43201109766960144,
-0.0982237234711647,
0.43459057807922363,
-0.317584753036499,
0.03482810780405998,... |
Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content.
Q: @anonymized_account Proszę poczytać wpisy tutaj. Polactwo w pełnej krasie.
A: | 0 | 4 | NIv2 | task838_cdt_classification | zs_opt | [
-1.5182691812515259,
0.8800320625305176,
0.7201602458953857,
0.5423818826675415,
-0.2962609529495239,
-0.5020211935043335,
0.9865975379943848,
-0.4750854969024658,
0.44179636240005493,
0.17700441181659698,
-0.32278192043304443,
-0.2630021572113037,
-0.15114746987819672,
-0.1863546669483184... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
Example: Poradzi sobie, ale trzeba na nią uważać.
Output: لذا نعلم أنها ستكون ناجحة. ولكن علينا مراقبتها
The Polish sentence is correctly translated ... | المشكلة هي أنّ الناس لا يدركون ذلك. | 1 | NIv2 | task1259_ted_translation_pl_ar | fs_opt | [
0.14192801713943481,
0.9742223024368286,
-0.08837911486625671,
-0.34507128596305847,
-0.28051841259002686,
-0.3386791944503784,
1.1070327758789062,
-0.10792160779237747,
0.4324483275413513,
0.1479795128107071,
-0.8321920037269592,
0.5031156539916992,
-0.6753835678100586,
0.4508252441883087... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Portugese.
Input: Consider Input: Los detectores de mentiras no son esos niños melindrosos, sentados detrás que gritan: "" ¡Te descubrí! ¡Te descubrí!
Output: Os apanhadores de mentiras (Liespotters) não são aqueles miúdos picuinh... | Output: Eu acho que elas são tão triviais que se tornaram clichês da nossa sociedade.
| 2 | NIv2 | task1104_ted_translation_es_pt | fs_opt | [
-0.8554417490959167,
0.46689704060554504,
-0.8358819484710693,
-0.29767298698425293,
-0.47652727365493774,
-0.5509874224662781,
-0.6321157813072205,
0.9188873171806335,
0.6599908471107483,
-0.31493526697158813,
-0.7473909854888916,
0.2503179907798767,
-0.5450397729873657,
-0.30744779109954... |
Definition: In this task you are given a sentence pair from wikipedia that have high lexical overlap. If the sentences have the same meaning and are just paraphrases of each other label them as "Paraphrase" , if not label them as "Not paraphrase". The two sentences are seperated by a new line.
Input: Currency : Leu ( R... | Paraphrase | 2 | NIv2 | task400_paws_paraphrase_classification | zs_opt | [
-0.7808502912521362,
0.6866116523742676,
-0.004190884064882994,
-0.3403300642967224,
-0.530936062335968,
0.16341663897037506,
1.1268699169158936,
0.3025522828102112,
0.5272864103317261,
-0.6904019117355347,
-0.02480611391365528,
0.44899338483810425,
-0.5932505130767822,
0.4337967038154602,... |
Detailed Instructions: In this task, you're given a statement, the genre to which that statement belongs, and a label indicating if the statement should be agreed with (entailment), disagreed with (contradiction), or neither (neutral). Your job is to write a sentence that describes the genre that follows the tone with ... | That would be the only state with out a law allowing it. | 9 | NIv2 | task203_mnli_sentence_generation | zs_opt | [
-1.4793903827667236,
0.6785113215446472,
-0.1607985496520996,
-0.22937944531440735,
-0.005089062266051769,
-0.030741769820451736,
0.1189437210559845,
0.4924819767475128,
0.061029963195323944,
-0.06168932840228081,
-0.06921383738517761,
0.1397276222705841,
-0.22290363907814026,
-0.118172034... |
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.
Example: My boyfriend (we... | Solution: accidentally kicking my friend during taekwondo training | 5 | NIv2 | task500_scruples_anecdotes_title_generation | fs_opt | [
0.09504129737615585,
0.10211135447025299,
0.3376975357532501,
0.17092059552669525,
0.48174598813056946,
-0.35542815923690796,
-0.3797239363193512,
0.6701089143753052,
-0.3065721392631531,
0.31142204999923706,
0.020678596571087837,
0.4299440085887909,
-0.8794394731521606,
0.0068755932152271... |
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 | task1212_atomic_classification_hasproperty | fs_opt | [
0.30776286125183105,
-0.20500454306602478,
0.22306455671787262,
0.3183813691139221,
-0.2761954367160797,
-0.9401530027389526,
0.5973595976829529,
1.3498830795288086,
-0.38825660943984985,
-0.3790949881076813,
-0.9343887567520142,
-0.32995283603668213,
-0.8698679208755493,
-0.01624991372227... |
instruction:
In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it. Your job is to determine which sentence(s) from the passage can be used to search for further information needed to answer the question.
question:
Question: How many b... | By the spring of 1911, some prominent Mongolian nobles including Prince Tögs-Ochiryn Namnansüren persuaded the Jebstundamba Khutukhtu to convene a meeting of nobles and ecclesiastical officials to discuss independence from the Manchu-led Qing China
| 9 | NIv2 | task234_iirc_passage_line_answer_generation | fs_opt | [
0.6869490742683411,
0.31030458211898804,
-0.6686540246009827,
-0.29313522577285767,
0.4646459221839905,
-0.23808377981185913,
0.5375620126724243,
0.753264307975769,
-0.5349372625350952,
0.1407480537891388,
-0.029353898018598557,
-0.14675161242485046,
-0.8292015790939331,
0.0877654552459716... |
Teacher: 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".
Teacher: Now, understand the problem? If you are still confused, see the following example:
I have bought several of the Vitality canned ... | False | 2 | NIv2 | task590_amazonfood_summary_correction_classification | fs_opt | [
-0.07234720885753632,
-0.45770263671875,
-0.4305073618888855,
-0.43861842155456543,
-0.4702194929122925,
0.24487891793251038,
0.3353807032108307,
1.1976419687271118,
-0.7064927220344543,
-0.08677882701158524,
-0.11109299957752228,
0.6006820201873779,
-0.3083744943141937,
-0.487807154655456... |
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: personal or non-personal depending on the topic... | non-personal
****
| 4 | NIv2 | task1490_bengali_personal_hate_speech_binary_classification | fs_opt | [
-0.3193625211715698,
0.22196385264396667,
-0.17656143009662628,
0.6952069401741028,
-0.715768575668335,
-0.24130602180957794,
0.6967878937721252,
0.5755163431167603,
-0.143872931599617,
-0.3185698688030243,
-0.510342001914978,
0.06707003712654114,
-0.15777774155139923,
-0.2782593369483948,... |
Given a sentence in Chinese, provide an equivalent paraphrased translation in German that retains the same meaning both through the translation and the paraphrase.
One example is below.
Q: 1975年的NBA赛季 - 76赛季是全美篮球协会的第30个赛季。
A: Die Saison 1975 - 76 der National Basketball Association war die 30. Saison der NBA.
Rational... | Wir betrachten Pseudo-Differentialoperatoren hier als Verallgemeinerung von Differentialoperatoren. | 9 | NIv2 | task811_pawsx_chinese_german_translation | fs_opt | [
-0.1670319139957428,
0.08259685337543488,
-0.4735669493675232,
-0.015752596780657768,
0.31906241178512573,
-0.3135490417480469,
1.1162066459655762,
0.9124264717102051,
0.5029926300048828,
0.3359547257423401,
-0.05382147431373596,
0.7807376980781555,
-1.1282293796539307,
0.506695032119751,
... |
Instructions: In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story incoherent / implausible by indicating 1 or 2 in the output. If both sentences are plausible, pick the one that makes less sense.
Input: Beg... | 2 | 3 | NIv2 | task070_abductivenli_incorrect_classification | zs_opt | [
-0.6335127353668213,
0.7007054090499878,
0.15854305028915405,
-0.09148180484771729,
-0.4332822859287262,
-0.45338010787963867,
0.02673029899597168,
0.8745316863059998,
0.12470585852861404,
0.2510455846786499,
-0.751599907875061,
-0.026609616354107857,
0.29201722145080566,
-0.46746766567230... |
Teacher:You are given a sentence in English. Your job is to translate the English sentence into Arabic.
Teacher: Now, understand the problem? Solve this instance: I got into it because I wanted to help people feel better.
Student: | درست هذا التخصص لأنني أردت أن أساعد الناس يشعرون بشعور أفضل | 6 | NIv2 | task1220_ted_translation_en_ar | zs_opt | [
-0.24447771906852722,
-0.21107523143291473,
0.3969986140727997,
-0.8434923887252808,
0.22222071886062622,
-0.3755796551704407,
0.33325332403182983,
0.1159791499376297,
0.5618807077407837,
0.03187554329633713,
-0.008119112811982632,
-0.2621351182460785,
-0.8790546655654907,
-0.6631302237510... |
In this task, you're given a review from Amazon's food products. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral or mixed, 4: good, 5: extremely good.
Q: Love these snacks...great for a quick fix as well as a snack that d... | 5
****
| 4 | NIv2 | task588_amazonfood_rating_classification | fs_opt | [
-0.2614288926124573,
-0.04818587005138397,
0.4630672037601471,
-0.10179295390844345,
0.500097393989563,
-0.4122389256954193,
0.9072340726852417,
0.587903618812561,
-0.4111012816429138,
0.4050042927265167,
-0.24906140565872192,
-0.2605518698692322,
-1.0321927070617676,
0.28485286235809326,
... |
Q: In this task, you are given an input list A. You need to find all the elements of the list that are numbers and calculate their sum.
['S', '3699', 'C', 'b', '3101', 'h', '2309', '8893', 'c', 'D', 'J', '2999', '5733', 'k']
A: | 26734 | 7 | NIv2 | task499_extract_and_add_all_numbers_from_list | zs_opt | [
-0.4942845404148102,
0.7201536893844604,
-0.8978191018104553,
-1.003429889678955,
-0.522626519203186,
-0.10092733800411224,
0.2797418236732483,
-0.4401661157608032,
-0.7613515853881836,
0.023028124123811722,
-0.7184097766876221,
0.022318484261631966,
0.680073618888855,
-0.10294217616319656... |
You will be given a definition of a task first, then some input of the task.
In this task, given 2 input sentences, you must classify the relation between them. If the second sentence has a similar meaning to that of the first sentence then the output is ' B_entails_A', if the second sentence has the opposite meaning t... | B_neutral_A | 1 | NIv2 | task1615_sick_tclassify_b_relation_a | zs_opt | [
-0.802034854888916,
0.19466331601142883,
0.2376062273979187,
-0.22654390335083008,
-0.027921024709939957,
-0.17429032921791077,
0.39821821451187134,
0.6122627258300781,
0.2876402735710144,
-0.25515446066856384,
-0.40720394253730774,
-0.44888243079185486,
0.19454394280910492,
-0.06411699950... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given triplets. Each triplet is in the form of [subject, predicate, object]. Your task is to generate proper sentence that utilizes these triples. The objective is to construct ... | The Postal Code of Chaclacayo is 08. | 0 | NIv2 | task1409_dart_text_generation | fs_opt | [
-0.28130602836608887,
0.018379628658294678,
-0.7036570310592651,
-0.7004492282867432,
0.15498460829257965,
0.0505119189620018,
0.7627071142196655,
0.8559153079986572,
-0.3210955858230591,
-0.09436801075935364,
-0.7359445095062256,
-0.045057035982608795,
-0.18647633492946625,
-0.28317478299... |
TASK DEFINITION: In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to determine which two sentences need to be swapped sentences in order to make a story that makes complete sense and is befittingly titled. Indicate your answer using the numbers of the two s... | 41
| 8 | NIv2 | task218_rocstories_swap_order_answer_generation | fs_opt | [
-0.15090487897396088,
0.1881977915763855,
-0.8434863090515137,
-0.6987348794937134,
-0.10523916780948639,
-0.2673540711402893,
0.1752019226551056,
0.7574061155319214,
0.17732354998588562,
-0.028760410845279694,
-0.6108348369598389,
-0.4116063117980957,
-0.4953259825706482,
-0.0471979640424... |
Translate from Hindi to English such that it preserves the original meaning Perform complete translation (partially translated sentences are considered incorrect).
हम उसे नहीं खोज रहे हैं.
We're not looking for that.
ठीक है, कुछ करों का भुगतान करना होगा लेकिन अभी भी तुम्हारे पास ...
Well, you'll pay some tax, but yo... | Well, I'll be damned.
| 0 | NIv2 | task1323_open_subtitles_hi_en_translation | fs_opt | [
-0.13342157006263733,
0.5894724130630493,
-0.011992917396128178,
0.9655126333236694,
0.09526392072439194,
-0.7494680881500244,
0.26588159799575806,
0.1831968128681183,
-0.28962865471839905,
-0.2566811144351959,
0.00990584772080183,
0.22332648932933807,
-0.32611405849456787,
0.4059972167015... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Polish.
لديك أشياء مثل المرجان. | Mikro-muszle, koralowce, | 0 | NIv2 | task1107_ted_translation_ar_pl | zs_opt | [
0.19157367944717407,
0.7167011499404907,
-0.718377947807312,
-0.8232080936431885,
-0.349351704120636,
0.4120181202888489,
0.9126696586608887,
-0.1974460929632187,
0.5455321073532104,
-0.5202398896217346,
-0.4007236957550049,
0.20037612318992615,
-0.7331996560096741,
0.5548912286758423,
0... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Galician.
Q: So we come around the cove in our little Zodiac boat, and there's this monstrous leopard seal.
A: | Así que chegamos á baía na nosa pequena Zodiac e atopamos esta monstrosa foca leopardo. | 9 | NIv2 | task1090_ted_translation_en_gl | zs_opt | [
-0.5182461738586426,
0.7282341718673706,
-0.5091251730918884,
-0.7432416081428528,
-0.3351026475429535,
-1.3100929260253906,
-0.06125948578119278,
0.03836662322282791,
-0.35495954751968384,
-0.6137295961380005,
0.3803215026855469,
-0.04486137256026268,
-1.514280080795288,
0.029039034619927... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | No | 4 | NIv2 | task1211_atomic_classification_hassubevent | zs_opt | [
0.20437905192375183,
0.39368346333503723,
0.22643642127513885,
-0.12057767063379288,
-0.6663393974304199,
-0.7791780829429626,
1.3608267307281494,
0.510697603225708,
-0.6093258261680603,
-0.45860952138900757,
-0.4866490364074707,
-0.6552051901817322,
-1.0354844331741333,
0.4175499677658081... |
Q: Categorize the comment on the basis of toxicity. If the comment is toxic (harmful, malicious, derogatory, threat, insult, identity attck, etc.) output Yes, otherwise output No.
What the f**k? Admitting to drugging preteen girls so they can be raped isn't prosecutable? She must not be a minority.
A: | Yes | 7 | NIv2 | task1720_civil_comments_toxicity_classification | zs_opt | [
-0.49553143978118896,
0.4783940315246582,
0.3906523585319519,
0.5677989721298218,
-0.17268610000610352,
-1.3834302425384521,
0.5399661660194397,
0.5849732160568237,
0.2902461290359497,
0.47516709566116333,
-0.4280012249946594,
-0.13957372307777405,
-0.5879325270652771,
-0.6530055999755859,... |
Classify the given a piece of financial news into three classes: positive, negative, and neutral. Output must be 'positive', 'negative', or 'neutral'.
One example is below.
Q: According to Gran , the company has no plans to move all production to Russia , although that is where the company is growing .
A: neutral
Ratio... | neutral | 9 | NIv2 | task843_financial_phrasebank_classification | fs_opt | [
-0.20292846858501434,
-0.10564591735601425,
-0.1251293569803238,
0.32794591784477234,
0.29492005705833435,
0.33882278203964233,
0.6594775915145874,
0.3350881338119507,
0.23227459192276,
0.4428415298461914,
-0.186589777469635,
0.8795620203018188,
0.038774337619543076,
0.043445564806461334,
... |
You are given a sentence from a conversation between a human and a virtual assistant. Your task is to identify whether the sentence is a question or not. Answer with Yes or No.
Example: I am feeling hungry so I would like to find a place to eat.
Example solution: No
Example explanation: The user is informing the intent... | Solution: No | 5 | NIv2 | task879_schema_guided_dstc8_classification | fs_opt | [
-0.553096354007721,
0.08304892480373383,
0.6433987617492676,
-0.0524292066693306,
-0.7267057299613953,
-0.4867286682128906,
1.186921238899231,
0.6532554626464844,
0.3063942790031433,
0.10221560299396515,
0.36742937564849854,
-0.9166340827941895,
-0.399133563041687,
-0.26632410287857056,
... |
TASK DEFINITION: You are given a sentence in English. Your job is to translate the English sentence into Galician.
PROBLEM: But with this, that doesn't tell us what the genes are.
SOLUTION: Pero todo isto non nos di que xenes son.
PROBLEM: In Tana Toraja, the most important social moments in people's lives, the focal... | Hai certas formas do xen FOXO que se presentan con maior frecuencia en persoas que viven ata os 90 ou 100.
| 8 | NIv2 | task1090_ted_translation_en_gl | fs_opt | [
0.10106024146080017,
0.42840880155563354,
0.3666704297065735,
-0.16443030536174774,
-0.579222559928894,
-0.8681247234344482,
0.7798244953155518,
0.48097673058509827,
-0.2894360423088074,
-0.06665515899658203,
-0.1970011591911316,
0.7565610408782959,
-0.8499293327331543,
0.39759403467178345... |
Read the given text and if it has abusive content then indicate via "yes". Otherwise indicate via"no".
We consider the content to be abusive if it contains any of the following instances: (1) Identity Directed Abuse (e.g., Content which contains a negative statement made against an identity. An identity is a social ca... | Solution: no | 5 | NIv2 | task108_contextualabusedetection_classification | fs_opt | [
-0.2106691598892212,
0.11303803324699402,
0.395795077085495,
0.3582305908203125,
-0.18463370203971863,
-0.3377338945865631,
0.630506694316864,
1.1485331058502197,
-0.04025496542453766,
0.5188611745834351,
0.5145613551139832,
-0.19881470501422882,
-0.41620126366615295,
-0.44699835777282715,... |
In this task, you are given a summary for US Congressional and California state bill, your task is to generate a Title for this bill. The preferred titles are under forty words and mention the purpose of the bill.
Q: Berry Amendment Extension Act - Amends the Homeland Security Act of 2002 to prohibit the Secretary of t... | A bill to prohibit the Department of Homeland Security from procuring certain items directly related to the national security unless the items are grown, reprocessed, reused, or produced in the United States, and for other purposes. | 4 | NIv2 | task1659_title_generation | zs_opt | [
-0.3103489577770233,
-0.039570875465869904,
-0.6570632457733154,
0.6904999613761902,
-0.014035672880709171,
-0.5178804397583008,
0.026384659111499786,
0.8903285264968872,
-0.5785396099090576,
0.44982367753982544,
-0.6740357875823975,
0.6989626884460449,
-0.5871716737747192,
-0.289147138595... |
instruction:
In this task, you are given a sentence containing a particular emotion. You must classify the sentence into one of the six emotions: 'joy', 'love', 'anger', 'fear', or 'surprise'.
question:
i don t feel the least bit regretful about it
answer:
sadness
question:
i was left feeling embarrassed stupid but i... | love
| 9 | NIv2 | task875_emotion_classification | fs_opt | [
-0.13563844561576843,
-0.14404067397117615,
0.7082253098487854,
-0.5114768147468567,
0.05315832421183586,
-0.9970093965530396,
0.6991397738456726,
0.34990933537483215,
0.33570167422294617,
-0.5010361671447754,
-0.34448185563087463,
-0.3903796076774597,
-0.8550053238868713,
-0.2030501961708... |
Instructions: In this task you will be given a list of integers. A list contains numbers separated by a comma. You need to round every integer to the closest power of 2. A power of 2 is a number in the form '2^n', it is a number that is the result of multiplying by 2 n times. The following are all powers of 2, '2, 4, 8... | [256, 256, 4096, 2048, 16, 64, 4, 16, 2048, 4096, 4096, 16, 64] | 3 | NIv2 | task1444_round_power_of_two | zs_opt | [
-0.543201744556427,
1.2139438390731812,
-0.1671314835548401,
-0.2714605927467346,
-0.37173348665237427,
0.3787711262702942,
0.7688329815864563,
0.28803345561027527,
-0.34126460552215576,
0.2641639709472656,
-0.8715751767158508,
0.6752970218658447,
-0.24089138209819794,
-0.27117741107940674... |
Teacher: In this task, you are given a paragraph, a question, and a candidate incorrect answer to the question. Your goal is to judge whether the provided answer is a valid incorrect answer to a given question. An incorrect answer should not truthfully answer the given question. A good incorrect answer should be closel... | No. | 2 | NIv2 | task057_multirc_classify_incorrect_answer | fs_opt | [
0.3150062561035156,
0.11664368212223053,
-0.4128955006599426,
0.5450116991996765,
0.12123508751392365,
-0.9944765567779541,
0.5875025987625122,
0.3655328154563904,
-0.4780345559120178,
0.25396883487701416,
-0.20011833310127258,
0.2458445131778717,
-0.7182349562644958,
0.09505385160446167,
... |
In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story incoherent / implausible by indicating 1 or 2 in the output. If both sentences are plausible, pick the one that makes less sense.
Input: Consider Input: ... | Output: 1
| 2 | NIv2 | task070_abductivenli_incorrect_classification | fs_opt | [
-0.134216770529747,
0.16949625313282013,
-0.2707371711730957,
-0.14074940979480743,
0.4976154565811157,
-0.37915176153182983,
0.2561883330345154,
0.9974310398101807,
-0.2487630695104599,
0.5158908367156982,
-0.22676724195480347,
-0.3751290440559387,
0.16395705938339233,
0.17117571830749512... |
Given a sentence in Vietnamese, generate a new Vietnamese 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 o... | Bạn có thể nói một bộ phim để ảnh hưởng đến không gian xã hội của chúng ta. | 8 | NIv2 | task411_mickey_vi_sentence_perturbation_generation | fs_opt | [
0.43264204263687134,
0.6553375720977783,
0.2412002980709076,
-0.12665827572345734,
0.06338761746883392,
-1.4631199836730957,
0.4394432604312897,
1.2928211688995361,
-0.0514226034283638,
0.1261659562587738,
-1.0226975679397583,
-0.039936359971761703,
-0.45099127292633057,
-0.328088521957397... |
Given the task definition, example input & output, solve the new input case.
In this task you're given a question and you have to paraphrase the question to create the output question while retaining the meaning of the original question.
Example: What can one do after MBBS?
Output: What do i do after my MBBS ?
In this ... | How do I do sentiment analysis using bag of words? | 1 | NIv2 | task1345_glue_qqp_question_paraprashing | fs_opt | [
-0.05002486705780029,
0.7651857733726501,
-0.207294762134552,
0.14906997978687286,
-0.09884706139564514,
0.3162827789783478,
0.566178023815155,
0.18169790506362915,
0.16095596551895142,
-0.0012547264341264963,
-0.7202533483505249,
0.026877030730247498,
0.39045676589012146,
0.45219781994819... |
You are given a sentence in English. Your job is to translate the English sentence into Italian.
Q: And a project that was realized in Austria, the Hooper Bank, which again used this idea of connecting typology, the traditional buildings, and morphology, or the relationship of the development of land as an idea, into a... | E un progetto realizzato in Austria, la Hopper Bank, che ha usato nuovamente questa idea di tipologia connettiva, gli edifici tradizionali, e la morfologia, o la relazione dello sviluppo della terra come un'idea, in un complesso che è un pezzo di una città dove possiamo vederne parte è letteralmente solo questa espansi... | 4 | NIv2 | task1091_ted_translation_en_it | zs_opt | [
0.16625593602657318,
0.5834916830062866,
-0.10180720686912537,
0.5259450674057007,
0.02943545952439308,
-0.5669752359390259,
0.44627270102500916,
1.1790062189102173,
0.026284852996468544,
-0.7187111973762512,
-0.24463385343551636,
0.61357581615448,
-0.7204363346099854,
-0.45864617824554443... |
Part 1. Definition
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 us... | NN | 7 | NIv2 | task347_hybridqa_incorrect_answer_generation | fs_opt | [
0.6333369016647339,
0.44229474663734436,
-0.3044448494911194,
0.5756601691246033,
-0.03798595070838928,
-0.7893606424331665,
0.6069488525390625,
0.7254432439804077,
-0.46892550587654114,
0.23592045903205872,
-0.24265694618225098,
0.3725999891757965,
-0.04171554744243622,
-0.173763245344162... |
Given the task definition, example input & output, solve the new input case.
A piece of text from one of these 5 languages - French, English, Dutch, Somali, Tagalog is given. Generate the language to which the text belongs.
Example: Text: Cheval de soins pour les enfants de 3 ans!
Output: French
The given text is in Fr... | Dutch | 1 | NIv2 | task447_opus_paracrawl_classification | fs_opt | [
0.32359015941619873,
0.5159796476364136,
0.36784571409225464,
-0.542068600654602,
0.4596196413040161,
-0.08293657004833221,
0.10671697556972504,
0.9176225662231445,
0.36199209094047546,
-0.07141873985528946,
0.06052812933921814,
1.0757043361663818,
-0.09168601036071777,
-0.2376815974712371... |
Detailed Instructions: In this task, you are presented with a term, a question, and a yes/no answer. For context, the term is associated with a short description. Write the simple facts one needs to know in order to answer the given question. The facts should be easily found on the web (e.g. mentioned in a Wikipedia pa... | Fact1: The PlayStation 4 was developed by Sony Interactive Entertainment. Fact2: Bill Gates works for Microsoft Corporation, which is a competitor of Sony. | 8 | NIv2 | task169_strategyqa_sentence_generation | zs_opt | [
-0.21398910880088806,
0.0015506945783272386,
-0.5570132732391357,
0.7024350762367249,
0.1916646659374237,
-0.9750591516494751,
0.8439602851867676,
0.7806846499443054,
0.4270780682563782,
0.748275637626648,
0.24433425068855286,
0.49718177318573,
-0.18798449635505676,
-0.38378989696502686,
... |
Q: In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to collate all the alphabetical elements at the start of the list followed by all the numerical elements of the list. Maintain the order in which the alphabetical elements appear in the given in... | m, u, n, 2135, 7787 | 7 | NIv2 | task509_collate_of_all_alphabetical_and_numerical_elements_in_list_separately | zs_opt | [
-0.07968206703662872,
0.7695465087890625,
-0.08107273280620575,
-0.6098642945289612,
-0.05852442607283592,
-0.16330836713314056,
0.19825288653373718,
0.17283637821674347,
-0.009353626519441605,
0.6942876577377319,
-0.047304242849349976,
-0.061928413808345795,
-0.03310796618461609,
-0.24831... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: insult and non-insult. Insult is any lanugage or act that is disrespectful or scornfully abusive.
Ex Input:
Comment: Trump has a lot to learn about everything - he is unfortunately for us and ... | Non-insult
| 1 | NIv2 | task328_jigsaw_classification_insult | fs_opt | [
-0.47115808725357056,
-0.0024640164338052273,
0.17206637561321259,
0.29627811908721924,
0.2830461859703064,
-0.04966834932565689,
0.1427856832742691,
0.7984814643859863,
0.26585060358047485,
0.6239038705825806,
0.4362001419067383,
-0.12104538083076477,
0.3841003477573395,
-0.38954681158065... |
Part 1. Definition
In this task, you are given a question and an answer, you would be asked to create the sentence based on the Question-Answer provided. It should be contained within the Question-Answer provided.
Part 2. Example
Question: Which is an example of a renewable energy resource? Answer: Biomass
Answer: Biom... | Sex-linked traits are located on genes on sex chromosomes. | 7 | NIv2 | task1556_scitail_passage_generation | fs_opt | [
-0.095348060131073,
0.598225474357605,
-0.4475039839744568,
-0.607709527015686,
-0.7033301591873169,
-0.6537281274795532,
0.8153419494628906,
0.6460663080215454,
0.33297669887542725,
-0.3352836072444916,
-0.42198169231414795,
0.5879241228103638,
-0.30520468950271606,
-0.17247135937213898,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given triplets. Each triplet is in the form of [subject, predicate, object]. Your task is to generate proper sentence that utilizes these triples. The objective is to construct a sentence that (a) captures the facts speci... | The chemical element Silicon is a metalloid. | 1 | NIv2 | task1409_dart_text_generation | zs_opt | [
-0.7847090363502502,
0.20139989256858826,
-0.8510474562644958,
-0.297899067401886,
0.09561304748058319,
0.023743364959955215,
0.37499189376831055,
0.03378612548112869,
-0.16548681259155273,
-0.10576072335243225,
-0.5654574632644653,
0.15320365130901337,
0.5630112886428833,
0.03705724328756... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Japanese.
Uma espécie de difusão da inovação pode ser compreendida e prevista através do mecanismo que vos vou mostrar. | 新しいアイデアの普及なども今からご覧いただく方法によって理解し予測することが可能です | 0 | NIv2 | task1275_ted_translation_pt_ja | zs_opt | [
-0.837450385093689,
0.09649817645549774,
-0.017748266458511353,
0.02023770660161972,
-0.39792755246162415,
-0.20105350017547607,
0.4805813431739807,
0.6323510408401489,
0.9383769631385803,
-0.64204341173172,
-0.316579133272171,
-0.4537426829338074,
-0.2151039093732834,
0.8296301364898682,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: sexual-explicit and non-sexual-explicit. A comment is considered sexual-... | Non-sexual-explicit | 0 | NIv2 | task323_jigsaw_classification_sexually_explicit | fs_opt | [
-1.0866435766220093,
-0.032260723412036896,
0.511311411857605,
0.3761707544326782,
0.22552797198295593,
-0.15706995129585266,
0.2808194160461426,
0.5571936368942261,
0.14964094758033752,
0.4926338195800781,
0.3127397298812866,
-0.1479721963405609,
0.01360818836838007,
-0.7639996409416199,
... |
This task is about translating a given French language sentence to English.
Avant de procéder au débat, j'aimerais faire un vote à main levée -- en général êtes-vous plutôt pour ou contre ? | And before we have the debate, I'd like to actually take a show of hands -- on balance, right now, are you for or against this? | 0 | NIv2 | task1690_qed_amara_translation | zs_opt | [
-0.3186159133911133,
0.6788142919540405,
-0.011403199285268784,
0.2518075704574585,
0.002238962799310684,
-1.2088087797164917,
0.45553383231163025,
1.058302640914917,
0.368505597114563,
0.13868187367916107,
0.20002299547195435,
0.4732104539871216,
-0.35138407349586487,
0.030475666746497154... |
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
| 5 | NIv2 | task515_senteval_odd_word_out | fs_opt | [
-0.47887131571769714,
1.2911505699157715,
0.3319796621799469,
-0.4440695643424988,
-0.037854403257369995,
-0.6271639466285706,
0.6847732067108154,
0.6218671202659607,
-0.05522548407316208,
-0.41142377257347107,
-0.1658746749162674,
-0.5185533165931702,
-0.8266110420227051,
-0.1439497619867... |
You are given a sentence in English. Your job is to translate the English sentence into Japanese.
Let me give you an example: And it was primarily because Kiribati realized that this was in their own self-interest to do this.
The answer to this example can be: 第一にキリバス共和国が彼ら自身の利益になると理解したからです
Here is why: The English se... | そして今ではガンマ線を利用したほかの技術と比べて照射量は５分の１となっています | 8 | NIv2 | task1218_ted_translation_en_ja | fs_opt | [
0.5116331577301025,
0.45217031240463257,
-0.2513582110404968,
-0.18377256393432617,
-0.2557573914527893,
-1.079964280128479,
0.9091867208480835,
0.010138381272554398,
0.40277791023254395,
-0.17925693094730377,
-0.5560966730117798,
0.19700884819030762,
-0.5779454708099365,
0.344725489616394... |
Part 1. Definition
In this task, you're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the given review and its summary match, otherwise generate "False".
Part 2. Example
Review: My cat won't touc... | False | 7 | NIv2 | task1309_amazonreview_summary_classification | fs_opt | [
-0.3881721496582031,
0.21368198096752167,
0.16100159287452698,
-0.07560209184885025,
-0.18091607093811035,
-0.3872063159942627,
0.46520769596099854,
0.5523403286933899,
-0.5004231333732605,
0.11842705309391022,
-0.366925984621048,
0.02598707750439644,
-0.6054032444953918,
-0.19465336203575... |
Detailed Instructions: In this task the focus is on physical knowledge about the world. Given the provided goal task in the input, describe a process that would lead to the asked outcome. This process often involves physical motions with objects, such as moving them, arranging them in a certain way, mixing them, shakin... | You can make use of an electric screw driver | 8 | NIv2 | task080_piqa_answer_generation | zs_opt | [
0.13617347180843353,
0.2581007480621338,
-0.21705563366413116,
-0.0004338579601608217,
-0.610532283782959,
-0.07627743482589722,
-0.8658249974250793,
0.25321775674819946,
0.022620052099227905,
0.1664947271347046,
-0.7916784882545471,
-0.1163274496793747,
0.19446422159671783,
-0.11258564889... |
Detailed Instructions: 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... | Original | 8 | NIv2 | task515_senteval_odd_word_out | zs_opt | [
-0.3770124912261963,
0.7419453859329224,
0.01939856819808483,
-0.25811392068862915,
-0.6143988966941833,
-0.4459988474845886,
0.00791184976696968,
0.4510495662689209,
0.5517752170562744,
-0.9311051368713379,
-0.6186234951019287,
-0.5493850708007812,
-0.3267260491847992,
0.01594516262412071... |
Q: In this task you will be given a list, of lists, of numbers. Each list is presented with brackets and comma-separated values. For example, a list of numbers is [1,2,3] and a list of two lists of numbers is [[1,2],[3,4,6]]. You should sum up the values at every position of every inner list and put it as an element of... | [188, -201, -166, -100, -119, 106, 101, 26, 81] | 7 | NIv2 | task122_conala_list_index_addition | zs_opt | [
0.05531277507543564,
-0.3465472161769867,
-0.6216393709182739,
-0.45182135701179504,
0.22163406014442444,
-0.4928377866744995,
0.7320059537887573,
0.6173719167709351,
-0.27407747507095337,
0.09550978243350983,
-0.6322648525238037,
0.3287838399410248,
-0.4128844141960144,
0.0329760164022445... |
Teacher:Turn the given fact into a question by a simple rearrangement of words. This typically involves replacing some part of the given fact with a WH word. For example, replacing the subject of the provided fact with the word "what" can form a valid question. Don't be creative! You just need to rearrange the words to... | What are vascular plants that produce seeds in cones? | 6 | NIv2 | task040_qasc_question_generation | zs_opt | [
0.4109058976173401,
0.8063161969184875,
0.2503654360771179,
-0.3025338053703308,
-0.6877278089523315,
-0.9152644872665405,
0.8665527105331421,
0.7300511002540588,
0.08042540401220322,
-0.592427134513855,
-1.0330696105957031,
0.23013561964035034,
-0.3647083044052124,
0.07133040577173233,
... |
Instructions: In this task you will be given an arithmetic operation and you have to find its answer. The operators '+' and '-' have been replaced with new symbols. Specifically, '+' has been replaced with the symbol '@' and '-' with the symbol '#'. You need to perform the operations in the given equation return the an... | 7613 | 3 | NIv2 | task087_new_operator_addsub_arithmetic | zs_opt | [
0.2797037363052368,
0.5110465884208679,
-1.2244281768798828,
0.3962450325489044,
-0.3721005916595459,
-0.24317288398742676,
0.28614288568496704,
1.3978362083435059,
0.7753040790557861,
0.18213072419166565,
-0.5316983461380005,
-0.60932457447052,
0.3116786479949951,
0.14898541569709778,
-... |
Teacher: This task is about creating an unanswerable question based on a given passage. Construct a question that looks relevant to the given context but is unanswerable. Following are a few suggestions about how to create unanswerable questions:
(i) create questions which require satisfying a constraint that is not me... | What happened after Indonesia cut its pesticide use in half? | 2 | NIv2 | task348_squad2.0_unanswerable_question_generation | fs_opt | [
0.8814529180526733,
0.191961407661438,
-0.5913807153701782,
-0.8395085334777832,
0.21539197862148285,
-0.8217620849609375,
1.3927736282348633,
1.255096197128296,
-0.37858402729034424,
0.2768426537513733,
-0.6237169504165649,
0.2326980084180832,
-0.7603680491447449,
0.3126717805862427,
-0... |
In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story and their positions in the s... | 1a, 2b
| 3 | NIv2 | task222_rocstories_two_chioce_slotting_classification | fs_opt | [
0.31357771158218384,
0.3369765877723694,
-0.1507798284292221,
0.1905350685119629,
0.13225853443145752,
-0.6169260740280151,
0.04134741425514221,
1.0372415781021118,
-0.35368484258651733,
0.29645371437072754,
-0.36187124252319336,
-0.10441503673791885,
0.030119799077510834,
-0.5413189530372... |
Q: Given a sentence, fill out the missing word with a 'no' or a number (between zero and ten). You should write the numbers with english alphabet, like: four instead of 4.
Plants have roots for ____ main reasons.
A: | two | 7 | NIv2 | task1359_numer_sense_answer_generation | zs_opt | [
-0.5969523191452026,
0.728230893611908,
-0.2354981005191803,
-0.5591635704040527,
-0.04726460576057434,
-1.0941886901855469,
0.6997805833816528,
0.07393649220466614,
-0.08321739733219147,
-0.0412629172205925,
-0.09278495609760284,
0.01974896341562271,
-1.1384555101394653,
0.254533112049102... |
In this task, you're given a dialogue between a customer and a flight booking agent with a gap in the conversation. Your job is to find the answer of the previous dialogue. Avoid using irrelevant extra information while creating the answer. The answer should be relevant to the question before the blank. If you fill the... | agent: Sorry to say that Jacob, unfortunately there is no reservation found under your name. Thanks for reaching us. Have a great day.
| 6 | NIv2 | task574_air_dialogue_sentence_generation | fs_opt | [
0.1503867208957672,
-0.14756299555301666,
-0.9922042489051819,
-0.3885177969932556,
0.45880407094955444,
-0.3432352542877197,
0.7694659233093262,
-0.09097392112016678,
0.029848888516426086,
0.1596965193748474,
0.1721704602241516,
-0.3073776960372925,
-0.2135913074016571,
0.2467900812625885... |
In this task, you are given a sentence in the Swedish language and a corresponding English translation of the Swedish sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
Input: Consider Input: Swedish: Jag har kunnat konstatera hur starkt man har bekräftat pri... | Output: Yes
| 2 | NIv2 | task314_europarl_sv-en_classification | fs_opt | [
0.09321557730436325,
0.6867445707321167,
0.4367489814758301,
0.6360974311828613,
0.2657378315925598,
-0.534981369972229,
0.36368808150291443,
0.9690283536911011,
-0.0009226256515830755,
-0.049034297466278076,
0.0026861452497541904,
0.7086641192436218,
-0.4858263432979584,
-0.29699373245239... |
Q: You are given a sentence from a conversation between a human and a virtual assistant. Your task is to identify whether the sentence is a question or not. Answer with Yes or No.
So you want a table for 2 for tomorrow 1:30 pm at All Spice in San Mateo. Is it correct?
A: | No | 7 | NIv2 | task879_schema_guided_dstc8_classification | zs_opt | [
0.09894286841154099,
0.606827437877655,
0.24825583398342133,
0.9770016670227051,
-0.47407427430152893,
-0.504162609577179,
0.5335814356803894,
0.04142684489488602,
0.6121416687965393,
0.4771139621734619,
0.7197895050048828,
-0.18398156762123108,
-0.08088250458240509,
0.03131507337093353,
... |
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 | 4 | NIv2 | task1202_atomic_classification_xneed | zs_opt | [
0.46646440029144287,
0.42345577478408813,
0.46896541118621826,
-0.4046402871608734,
-0.5691354274749756,
-0.8312960863113403,
1.363417387008667,
0.20395991206169128,
-0.24424579739570618,
-0.5748274326324463,
-0.44784092903137207,
-0.23352374136447906,
-0.8041497468948364,
0.53385806083679... |
Detailed Instructions: 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 sentence. Please answer with "Contradiction", "Neutral", or "Entailment".
See one examp... | Neutral | 4 | NIv2 | task1387_anli_r3_entailment | fs_opt | [
0.799889087677002,
1.2783933877944946,
-0.08398754149675369,
-0.2435455024242401,
0.08685886114835739,
-1.109987497329712,
-0.06959542632102966,
1.1919622421264648,
0.015609451569616795,
-0.2625111937522888,
-0.31387943029403687,
0.35799211263656616,
-0.4587970972061157,
-0.565609931945800... |
This task is to identify the language of a sentence correctly by classifying if it is English or Telugu
One example: ఇల్లు అందంగా ఉంది
Solution is here: Telugu
Explanation: The language is Telugu so it is correct.
Now, solve this: Payment Terms: 30% payment in advance or LC
Solution: | English | 6 | NIv2 | task1618_cc_alligned_classify_tel_eng | fs_opt | [
-0.4406667649745941,
1.0575752258300781,
0.28435009717941284,
-0.3717661201953888,
0.13885930180549622,
-0.3755255341529846,
0.2565934658050537,
0.5070083141326904,
-0.2907828986644745,
-0.14379054307937622,
-0.16370651125907898,
0.1282118409872055,
-1.063593864440918,
-0.11131705343723297... |
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 the one that m... | a
| 6 | NIv2 | task214_rocstories_incorrect_ending_classification | fs_opt | [
0.07893683016300201,
-0.10326089709997177,
0.04285883158445358,
-0.11100809276103973,
0.1095251739025116,
-0.3071954846382141,
0.3491365313529968,
1.0059877634048462,
0.19979968667030334,
-0.14083468914031982,
-0.9348565936088562,
-0.05814970284700394,
-0.09619690477848053,
0.1959125697612... |
Given the task definition and input, reply with output. Classify the given comment into 'Hope Speech' or 'Not Hope Speech'. A hope speech is defined as content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion
Wow am studying mechanical engineering and this is motiva... | Hope Speech | 5 | NIv2 | task679_hope_edi_english_text_classification | zs_opt | [
-0.7913716435432434,
0.14861716330051422,
0.5831326246261597,
-0.25589239597320557,
-0.4408029317855835,
-0.5337966680526733,
0.24236200749874115,
0.7934046983718872,
0.47629350423812866,
0.327791690826416,
-0.10356904566287994,
-0.2802063822746277,
0.386719286441803,
-0.191857248544693,
... |
In this task, you are given two strings A,B. You must perform the following operations to generate the required output list: (i) Find the longest common substring in the strings A and B, (ii) Convert this substring to all lowercase and sort it alphabetically, (iii) Replace the substring at its respective positions in t... | Output: yUqdccdfggjjlllmorvvvwUUk, nNgfGXhMMttIyJCOaccdfggjjlllmorvvvwLPrsSlKWPfjUUZVyzf
| 2 | NIv2 | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | fs_opt | [
0.5902006030082703,
0.39556702971458435,
-0.28041136264801025,
0.45570439100265503,
0.44005244970321655,
-0.23852241039276123,
0.1796971559524536,
0.6309051513671875,
-0.2747231721878052,
0.18197596073150635,
-0.6492269039154053,
-0.6503070592880249,
-0.46461862325668335,
-0.04102648049592... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.