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 |
|---|---|---|---|---|---|---|
Given the task definition and input, reply with output. In this task, you are given an input list A. You need to extract and sort the unique digits used in the list in ascending order. Return -1 if there is no digit in the list.
['l', '81', '399', 'u']
| 1, 3, 8, 9 | 5 | NIv2 | task637_extract_and_sort_unique_digits_in_a_list | zs_opt | [
-0.8200373649597168,
0.41983562707901,
0.0025471581611782312,
-0.6748175024986267,
-0.05635971203446388,
1.2279376983642578,
0.5309628248214722,
-0.2299708127975464,
-0.5865173935890198,
0.08427268266677856,
-0.16412097215652466,
0.09517143666744232,
-0.5399730205535889,
-0.063609384000301... |
Detailed Instructions: In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story to not connect with the rest of the story. Ensure that the generated sentence is contextually relevant to the story.
Q: Title: Smashing Proposal. Sentenc... | She told my parents and I ended up getting in trouble. | 9 | NIv2 | task215_rocstories_incorrect_answer_generation | zs_opt | [
-0.4250754714012146,
1.0607361793518066,
0.6745419502258301,
-0.5750163793563843,
-0.03607439622282982,
-0.11384916305541992,
0.5680121183395386,
0.265094518661499,
0.16296985745429993,
-0.14305120706558228,
-0.7733687162399292,
0.27276378870010376,
-0.3329315781593323,
0.33585846424102783... |
This task is about using the specified sentence and converting the sentence to Resource Description Framework (RDF) triplets of the form (subject, predicate object). The RDF triplets generated must be such that the triplets accurately capture the structure and semantics of the input sentence. The input is a sentence an... | [['August 31', 'RECORD', '73-60'], ['August 31', 'SCORE', '7 - 5']] | 3 | NIv2 | task1410_dart_relationship_extraction | fs_opt | [
-0.24154125154018402,
0.32386258244514465,
-0.9270913600921631,
-0.6880724430084229,
-0.2982003688812256,
-0.29452985525131226,
0.1399594396352768,
0.3574717044830322,
0.2785337269306183,
-0.35430997610092163,
-0.31589066982269287,
-0.15084490180015564,
0.05914072319865227,
0.9627470374107... |
Given the task definition and input, reply with output. In this task, You are given an open-domain question that can be answered based on factual information. Your task is to provide \*short\* answer (in a few words only) for the given question. The short answer can be one or more entities or it can also be boolean \*y... | September 2007 | 5 | NIv2 | task582_naturalquestion_answer_generation | zs_opt | [
-0.643105149269104,
0.5416861772537231,
-0.6568760275840759,
0.9829960465431213,
-0.2000335156917572,
-0.2938653230667114,
0.3634595572948456,
0.010123973712325096,
0.4199913442134857,
-0.12450811266899109,
-1.1649216413497925,
0.8418582677841187,
-0.27328842878341675,
0.30444514751434326,... |
Part 1. Definition
In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e. tagset of t... | SCONJ | 7 | NIv2 | task583_udeps_eng_coarse_pos_tagging | fs_opt | [
0.6134056448936462,
0.3965336084365845,
0.144174724817276,
-0.0062101068906486034,
0.039346639066934586,
-0.7289543151855469,
0.8831795454025269,
0.9633344411849976,
-0.6317309141159058,
-0.4290316104888916,
-0.32124432921409607,
0.07896542549133301,
-0.6027466058731079,
0.4094187021255493... |
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 deter... | No | 8 | NIv2 | task1203_atomic_classification_xreact | fs_opt | [
0.5204523801803589,
-0.11058270186185837,
0.5125061273574829,
-0.1527319848537445,
-0.03926236927509308,
-0.9134596586227417,
0.8321434259414673,
0.7283940315246582,
-0.7960935831069946,
0.009394844993948936,
-0.3163222372531891,
-0.0370388999581337,
-1.0806018114089966,
-0.187636733055114... |
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 mentioned i... | People first settled in Somerset in what year?
| 3 | NIv2 | task348_squad2.0_unanswerable_question_generation | fs_opt | [
0.22941216826438904,
0.2769272029399872,
-0.06407129019498825,
0.03076583705842495,
0.6774641871452332,
-0.5765823721885681,
0.872658371925354,
1.1682026386260986,
-0.14346417784690857,
-0.10992377251386642,
-0.3087121248245239,
0.06640125811100006,
-1.2995774745941162,
0.16475152969360352... |
Given a sentence in the Indonesian(Bahasa variant), provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Pada malam penghargaan, Button mengindikasikan keinginannya kepada pembeli untuk mengambil Honda, mengatakan kepada semua pembe... | イスラエルはまた、それらの武器が北朝鮮から来ていると考える。
| 0 | NIv2 | task1116_alt_id_ja_translation | fs_opt | [
-0.5242278575897217,
-0.2433323860168457,
-0.42662230134010315,
0.11687903106212616,
-0.3758971095085144,
-0.583635687828064,
0.4659212827682495,
0.026419883593916893,
0.18505974113941193,
-0.12545308470726013,
-1.1718363761901855,
1.0224344730377197,
-0.8595294952392578,
0.540793418884277... |
Q: You are given a review about a place. You need to provide a rating from "1 star" to "5 stars" for this place.
About 2 years ago, this was my local, and whilst by no means a great place to drink, it was ok. The bar is quite chilled out normally, unless you have one of the weirdly frequent golf pub crawls coming throu... | 3 stars | 7 | NIv2 | task1292_yelp_review_full_text_categorization | zs_opt | [
-0.16246852278709412,
0.6376512050628662,
-0.624228298664093,
-0.36254948377609253,
0.23019161820411682,
-1.320768117904663,
-0.30370694398880005,
0.7907167673110962,
0.33142024278640747,
0.3996257781982422,
0.47798702120780945,
0.24842946231365204,
-0.5185471773147583,
0.2889018654823303,... |
Detailed Instructions: 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 re... | bccdejpi, VXocdejUri | 8 | NIv2 | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | zs_opt | [
-0.37068280577659607,
0.5147541165351868,
-0.6213582158088684,
-0.093111053109169,
-0.12657605111598969,
0.02854871191084385,
0.8534921407699585,
-0.6421184539794922,
0.5157716274261475,
-0.025455407798290253,
-1.0269298553466797,
-0.497763991355896,
0.4056691527366638,
0.12905818223953247... |
Detailed Instructions: In this task your given two statements. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
See one example below:
Problem: The women met for coff... | cause | 4 | NIv2 | task828_copa_commonsense_cause_effect | fs_opt | [
-0.4642125368118286,
0.20561324059963226,
-0.24031692743301392,
-0.8016682863235474,
-0.2450057566165924,
-0.02882775478065014,
0.3977262079715729,
0.622187077999115,
0.6586161255836487,
-0.4335489869117737,
-0.2817997932434082,
-0.1225598007440567,
-0.47646233439445496,
0.31100994348526,
... |
Definition: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Polish.
Input: Pediram-me para se encontrarem comigo. Queriam reunir-se comigo.
Output: | Poprosili o spotkanie. | 2 | NIv2 | task1281_ted_translation_pt_pl | zs_opt | [
-0.4707932472229004,
0.7743956446647644,
-0.4249401390552521,
-0.2729642391204834,
-0.6529014110565186,
-0.4722449779510498,
0.25833606719970703,
-1.1990795135498047,
0.7454363107681274,
0.07125306129455566,
-0.7603433132171631,
0.17355509102344513,
-0.3723927140235901,
0.42916780710220337... |
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... | YwptVdbbffijkmmopHsui, ApLcDmZbbffijkmmopVDcRms | 4 | NIv2 | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | zs_opt | [
0.24737544357776642,
0.8229703903198242,
-0.043322570621967316,
-0.10088387876749039,
0.20215606689453125,
-0.07805711030960083,
0.12681786715984344,
0.29559189081192017,
0.11569962650537491,
0.4845694303512573,
-0.8670350909233093,
-0.32699936628341675,
0.4225202798843384,
-0.167448610067... |
Detailed Instructions: In this task, you are given a dialogue from a conversation between an agent and a customer. Your task is to determine the speaker of the dialogue. Answer with "agent" or "customer".
See one example below:
Problem: Hello. How may I aid you today?
Solution: agent
Explanation: This is a pretty strai... | customer | 4 | NIv2 | task575_air_dialogue_classification | fs_opt | [
-0.49374866485595703,
0.11116446554660797,
0.08559731394052505,
-0.7464708089828491,
0.06804873049259186,
-0.22668321430683136,
0.6531933546066284,
0.3896177411079407,
0.5352023243904114,
0.26337575912475586,
-0.37870511412620544,
-0.37093621492385864,
-1.0322173833847046,
-0.1279573440551... |
In this task, you are given a sentence in the english language. Here, your job is to convert english sentence into the bulgarian language.
Example: Membership of Parliament: see Minutes
Example solution: Състав на Парламента: вж. протоколи
Example explanation: English sentence is converted into bulgarian sentence.
Pro... | Solution: Споразумение между Европейската общност и Република Сърбия за реадмисия (вот) | 5 | NIv2 | task272_europarl_translation | fs_opt | [
0.0475764162838459,
0.7563762664794922,
0.11408726871013641,
0.28533264994621277,
0.11565586924552917,
-0.3426614999771118,
1.8381972312927246,
-0.09700582176446915,
0.7241051197052002,
-0.35445502400398254,
0.12276188284158707,
0.9251993298530579,
-0.19095206260681152,
0.356001615524292,
... |
Teacher:In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is potentially offensive to anyone (i.e., a subset of people, any particular person, etc.), 2) no, otherwise. Note that potentially offensive posts can contain sexua... | No | 6 | NIv2 | task609_sbic_potentially_offense_binary_classification | zs_opt | [
-0.631646990776062,
0.03008146770298481,
0.4913598299026489,
0.7051122188568115,
0.0023300873581320047,
-0.5045933723449707,
-0.040416210889816284,
0.304357647895813,
0.22767075896263123,
0.034937784075737,
0.22445930540561676,
-0.3712611794471741,
-0.2559691071510315,
-1.0355440378189087,... |
You will be given a definition of a task first, then some input of the task.
You are given a short text as a title. Your task is to generate a poem as output that is related to the given title and should feel like written by kids. The output should be a run-on sentence (two or more complete sentences connected without ... | when i awake one morning a coyote be on my bed i ask what be you do here it look at me and say i just come from maine i do n't know my way here i'm look for a place to stay ca n't i just stay here | 1 | NIv2 | task1711_poki_text_generation | zs_opt | [
-1.0043796300888062,
1.178192138671875,
0.3604464530944824,
-0.31507736444473267,
-0.40259629487991333,
-0.38134634494781494,
0.4111560583114624,
0.3116700351238251,
0.18561145663261414,
-0.4124945104122162,
-0.8741971254348755,
0.02967352606356144,
-0.5351585149765015,
-0.0131916739046573... |
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 ... | Yes | 3 | NIv2 | task1201_atomic_classification_xintent | zs_opt | [
0.2377011477947235,
0.24081234633922577,
0.4876650273799896,
-0.27543923258781433,
-0.7829691171646118,
-0.8848918676376343,
1.4025877714157104,
-0.13459528982639313,
-0.7009479999542236,
-0.8386739492416382,
-0.14926943182945251,
-0.8293949961662292,
-0.8017160892486572,
0.529941737651825... |
instruction:
In this task, you will be presented with a question in Dutch language, and you have to write the location names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Identifier used for the location name - LOC. . There can be instances with no location name entit... | None
| 9 | NIv2 | task1546_conll2002_location_name_extraction_answer_generation | fs_opt | [
0.0349019393324852,
-0.09492772817611694,
-0.3533843457698822,
0.034279223531484604,
-0.06067168340086937,
-0.46891725063323975,
0.423816442489624,
0.15186111629009247,
1.127840518951416,
-0.6199554204940796,
-0.7882205247879028,
0.9573294520378113,
-0.501630425453186,
0.3584807217121124,
... |
Detailed Instructions: Translate the given Spanish text to English
Problem:Once released, the coupling self-engages.
Solution: | Una vez liberado, el acoplamiento auto engancha. | 8 | NIv2 | task840_para_pdt_en_es_translation | zs_opt | [
0.36721962690353394,
0.7533832788467407,
-1.1704472303390503,
-0.3033371567726135,
-0.5674827098846436,
-0.05689461901783943,
0.6562548279762268,
0.7769691944122314,
-0.32061630487442017,
0.2276718020439148,
-0.534530758857727,
0.0632869154214859,
-0.2770847976207733,
0.22316086292266846,
... |
Teacher:Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individua... | blue_envelope | 6 | NIv2 | task154_tomqa_find_location_hard_noise | zs_opt | [
0.30228233337402344,
-0.10989154875278473,
-0.614513099193573,
-0.21294569969177246,
-0.40535491704940796,
-0.9464201927185059,
0.13534614443778992,
0.509719729423523,
0.22063854336738586,
-0.1730387806892395,
-0.10807183384895325,
0.6744828224182129,
-0.17129571735858917,
-0.1243981793522... |
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 upon answer to fill in ... | Solution: personx dog had more puppies than persony dog and it is more costly for _ to get them fed. | 5 | NIv2 | task032_winogrande_question_generation_person | fs_opt | [
0.6949743032455444,
0.45915287733078003,
-0.04491451382637024,
0.39611202478408813,
-0.00010464806109666824,
-0.4656236469745636,
0.4895293712615967,
1.1847230195999146,
-0.2838708162307739,
-0.7758397459983826,
-0.0952564924955368,
0.025287337601184845,
-0.42001694440841675,
-0.0538908429... |
Definition: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Farsi.
Input: ישנה התפיסה על הומור שהוא צריך להיות עבירה קטנה.
Output: | اصلی در مورد طنز وجود دارد که باید خشونت ملایمی در مضمون آن وجود داشته باشد. | 2 | NIv2 | task1113_ted_translation_he_fa | zs_opt | [
-0.6035240888595581,
0.33513057231903076,
0.3588564693927765,
-0.3168533444404602,
-0.5643588304519653,
0.8688181638717651,
0.602154016494751,
-0.32940924167633057,
1.0351097583770752,
-0.5117406845092773,
-1.784448504447937,
0.1467457413673401,
-0.3866789937019348,
0.38596993684768677,
... |
Definition: You are given a sentence in English. Your job is to translate the English sentence into Japanese.
Input: So that's how it works if I want to build a large cemetery.
Output: | 大規模な墓地を作る場合でも同じです | 2 | NIv2 | task1218_ted_translation_en_ja | zs_opt | [
-0.14040449261665344,
0.3017883002758026,
0.12327635288238525,
0.3148807883262634,
0.11900192499160767,
-0.9625343084335327,
0.03355914354324341,
0.3185808062553406,
0.22002457082271576,
-0.16667041182518005,
0.25099122524261475,
0.10219308733940125,
-0.22844725847244263,
0.223942443728446... |
Detailed Instructions: In this task, you will be shown a conversation. You need to write a question with three choices for the conversation. Your question should be answerable based on the conversation and only have one correct answer. Note that you don't need to answer your question. "W" and "M" in the conversations s... | Where is the man's bike now? (A) Under the stairs. (B) At the gate. (C) In the garden. | 9 | NIv2 | task246_dream_question_generation | zs_opt | [
0.6147055625915527,
0.3832401931285858,
-0.7139124870300293,
-0.23644399642944336,
0.2445579171180725,
-0.3871147036552429,
0.5015783309936523,
0.18684959411621094,
0.3568111062049866,
-0.2409125119447708,
-0.6025175452232361,
0.7542353868484497,
0.27029848098754883,
-0.016688495874404907,... |
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: Which of the two primary armed f... | The task force is made up mainly of US and British units alongside French, Australian, Japanese, and Free Indonesians, along with a few other units like Spetsnaz from Russia and Kommando Spezialkräfte from Germany | 0 | NIv2 | task234_iirc_passage_line_answer_generation | zs_opt | [
-0.0055158669129014015,
0.09912080317735672,
-0.16703557968139648,
-0.10180294513702393,
0.710263729095459,
-0.2548767626285553,
0.4247588515281677,
0.5737598538398743,
-0.0358150452375412,
0.10819428414106369,
-0.028895357623696327,
0.19386038184165955,
-0.7269769310951233,
-0.12473640590... |
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Farsi.
Problem:E questo è veramente pericoloso perché se perdiamo anche un solo protocollo, se non possiamo fidarci di cose come l'SSL, che viene specificamente preso di mira dal programma Bullrun, vivremo in ... | و این واقعا خطرناک است ، زیرا اگر ما یک استاندارد را از دست دهیم ، اگر ما اعتماد به چیزی مثل « اس اس ال » (یک پروتکل برای رمزگذاری اطلاعات بر روی اینترنت) را از دست دهیم ، که بطور خاص توسط برنامه « بالران » هدف قرار گرفته بود ، روی هم رفته ما زندگی در یک جهان امن را از دست خواهیم داد ، | 8 | NIv2 | task1254_ted_translation_it_fa | zs_opt | [
-0.6742265224456787,
0.9172703623771667,
0.10903190821409225,
-0.2792251706123352,
-0.6631848812103271,
0.5550218820571899,
0.4856396019458771,
0.39233219623565674,
-0.3175864815711975,
-0.007484749890863895,
-1.1744096279144287,
0.6088349223136902,
-0.3764708340167999,
0.2018192708492279,... |
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 Wypierdal..ć - to tobie już dwie żony powiedziały. A rudy zdrajca to co najwyżej może prosić o najniższy wymiar kary.
A: 1
****
Q: Jak przeżyć te czasy populizm... | 1
****
| 4 | NIv2 | task838_cdt_classification | fs_opt | [
-1.5535502433776855,
1.4166183471679688,
0.5857791900634766,
0.20317745208740234,
-0.5438140630722046,
0.5298269987106323,
0.47307002544403076,
0.366470068693161,
0.13782131671905518,
-0.007815315388143063,
-0.6645940542221069,
0.2164376676082611,
-0.13217343389987946,
-0.19216793775558472... |
Instructions: In this task, you're given a review from Amazon's food products. Your task is to generate a short summary of the given review in the input. Note that you don't need to write a complete sentence as a summary.
Input: Wagyu beef is a kobe beef Japanese cow crossbred with an American cow. It's the best possib... | Above user is wrong | 3 | NIv2 | task589_amazonfood_summary_text_generation | zs_opt | [
0.41613098978996277,
-0.16399355232715607,
0.23033887147903442,
-0.1965695321559906,
0.5969453454017639,
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0.34902459383010864,
0.5392383933067322,
-0.05886910855770111,
1.0127092599868774,
0.28099220991134644,
-0.3057532012462616,
-0.3942602276802063,
0.5984789729118347... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Polish.
Example: لذا نعلم أنها ستكون ناجحة. ولكن علينا مراقبتها
Output: Poradzi sobie, ale trzeba na nią uważać.
The Arabic sentence is correctly translated ... | Niektórzy z Was go znają - TEDster, Stephan Sagmeister i ja pracujemy nad wyglądem portalu, ale to ciągle faza wstępna. To jeszcze nie ostateczny wygląd, ale dzięki worldchanging.com te obrazy mogą być umieszczone w dowolnych mediach: | 1 | NIv2 | task1107_ted_translation_ar_pl | fs_opt | [
-0.14113456010818481,
0.9499339461326599,
-0.10053737461566925,
-0.06931436061859131,
0.19630008935928345,
0.03413841128349304,
0.8242651224136353,
-0.05044107884168625,
0.4274013340473175,
0.1950443834066391,
-0.34674346446990967,
0.47451284527778625,
-0.42278236150741577,
0.0814211815595... |
Given the task definition, example input & output, solve the new input case.
A text is given in Malayalam. Translate it from the Malayalam language to the Marathi language. The translation must not omit or add information to the original sentence.
Example: ഈ സംവിധാനത്തിന് പൊതു ടൈം-ടേബിളും പൊതു ടിക്കറ്റിംഗ് സംവിധാനവും ക... | ‘मेड इन इंडिया उत्पादन’ ही आपलं प्राधान्य का असू नये? | 1 | NIv2 | task1071_pib_translation_malayalam_marathi | fs_opt | [
0.5943819284439087,
0.5039947628974915,
-0.2216435968875885,
0.24357306957244873,
0.6476295590400696,
-0.4990769624710083,
-0.30540913343429565,
0.6354786157608032,
-0.47125619649887085,
0.6164351105690002,
-0.7975744605064392,
-0.5778598785400391,
0.08841505646705627,
-0.06465204805135727... |
Teacher:In this task, you are given two sentences in Persian separated with <sep>, and you have to determine whether the sentences are paraphrases or not. Classify your answers into "paraphrase" and "not-paraphrase".
Teacher: Now, understand the problem? Solve this instance: با چه چیزی دیوار را تمیز کنیم؟ <sep> دندان م... | not-paraphrase | 6 | NIv2 | task465_parsinlu_qqp_classification | zs_opt | [
-1.4408268928527832,
0.8777661919593811,
0.25628629326820374,
-0.5723041296005249,
-0.9436789751052856,
-0.18849927186965942,
0.7418803572654724,
1.2313086986541748,
0.45729154348373413,
0.24959886074066162,
-0.12156404554843903,
0.2888832688331604,
-0.1576440930366516,
-0.5894666910171509... |
In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. There are several possible answers, you'll need to choose the proper one. Carefully read the given text, pay specia... | REFERENCE jokes | 4 | NIv2 | task304_numeric_fused_head_resolution | zs_opt | [
0.14800937473773956,
1.0010712146759033,
-0.4492526054382324,
0.062246352434158325,
-0.4602217674255371,
-0.5879667401313782,
1.2875770330429077,
0.6407029628753662,
-0.08246020972728729,
-0.09783895313739777,
-0.5676512122154236,
0.007481489330530167,
-0.5937260389328003,
-0.0870643258094... |
Definition: You are given a statement written in Tamil. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Input: Statement: கிளாரா லூயி மாஸ் (Clara Louise Masss , ஜூன் 28, 1876 – ஆகஸ்ட் 24, 1901 ) ஒரு அமெரிக்க ... | செவிலியர் | 2 | NIv2 | task953_wiki_cloze_ta_multiple_choice_question_answering | zs_opt | [
0.47916746139526367,
0.9022352695465088,
-0.5350597500801086,
-0.39349427819252014,
-0.22608956694602966,
-1.3500468730926514,
-0.822343647480011,
0.3220580816268921,
-0.3456144332885742,
0.41080141067504883,
0.21100419759750366,
0.22473791241645813,
-0.11537397652864456,
-0.18784095346927... |
Detailed Instructions: You are given a statement written in Telugu. 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 .
Q: Statement: ఇది మండల కేంద్రమైన గంగరాజు మాడుగుల నుండి 28 కి. మీ. దూరం లోను, సమీప పట్టణమైన <... | అనకాపల్లి | 9 | NIv2 | task954_wiki_cloze_te_multiple_choice_question_answering | zs_opt | [
0.5305435061454773,
0.985771656036377,
-0.0496688112616539,
-0.2763921320438385,
0.006418301723897457,
-1.230297327041626,
0.10003478825092316,
0.6906617283821106,
-0.05563739687204361,
-0.06747594475746155,
-0.5455774068832397,
0.19584490358829498,
-0.2238028347492218,
-0.3999018371105194... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
... | अंटार्कटिका का सबसे बड़ा भूकंप 8.1 तीव्रता का था जो 25 मार्च 1998 को अंटार्कटिका के बैलेनी द्वीप समूह के पास आया था। | 1 | NIv2 | task432_alt_en_hi_translation | fs_opt | [
0.098464235663414,
1.095388650894165,
-0.1645587682723999,
0.32678353786468506,
0.00828022975474596,
-0.46698951721191406,
0.25769978761672974,
0.30778968334198,
0.11619515717029572,
-0.6825578808784485,
-0.45119428634643555,
0.6972786784172058,
0.11980349570512772,
0.25882506370544434,
... |
Decide the language of that sentence. The language can be English, French, German, Italian, or Spanish.
Text: 'Voulez vous en savoir plus sur mon métier avant de nous mettre à la tâche ?'
French
Text: 'Là, c'est plus clair! Mais nous devons avoir une suite. Quelle est la suite... des événements?'
French
Text: 'y lle... | Spanish
| 0 | NIv2 | task896_miam_language_classification | fs_opt | [
0.011258255690336227,
1.1436083316802979,
0.6341115832328796,
-0.39781278371810913,
-0.2950403392314911,
-0.645246148109436,
0.35096800327301025,
0.6214704513549805,
-0.07544770836830139,
-0.5937528610229492,
0.005445318762212992,
0.027758192270994186,
-0.28337153792381287,
0.2073096185922... |
The task is to generate text based of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons emotional reaction to the event, i.e. how that person feels after doing the action.
--------
Question: PersonX strikes ___ into the heart
An... | inflict necessary pain & suffering.
| 7 | NIv2 | task1595_event2mind_text_generation_1 | fs_opt | [
-0.15128110349178314,
0.9162276983261108,
0.1838333010673523,
-0.5100719928741455,
-0.45935672521591187,
-0.6078482270240784,
1.6343668699264526,
0.5260958671569824,
0.12046763300895691,
-0.8485262989997864,
-0.02981334552168846,
0.18487998843193054,
-0.6564404964447021,
0.3700279891490936... |
Given an Amazon review, indicate whether it is a 'Positive Review' or 'Negative Review'.
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 am quite happy with this purchase. It fit my M... | Solution: Negative Review | 5 | NIv2 | task1343_amazon_us_reviews_rating | fs_opt | [
0.4752528667449951,
0.11010441929101944,
-0.6052364110946655,
-0.16270437836647034,
0.07767435908317566,
-0.7344240546226501,
0.8596135973930359,
0.6452649235725403,
0.4978512227535248,
0.7549210786819458,
-0.03933395445346832,
0.38055717945098877,
-0.22620773315429688,
-0.1602570861577987... |
In this task, you are given a sentence in the Romanian language. Your job is to translate the Romanian sentence into the English language.
--------
Question: Un bărbat face o gaură într-o bucată de lemn.
Answer: A man drills a hole in a piece of wood.
Question: GlaxoSmithKline, producătorul de medicamente din Marea ... | The beagle is walking on the beach at the waterline.
| 7 | NIv2 | task1435_ro_sts_parallel_language_translation_ro_to_en | fs_opt | [
-0.5112853646278381,
0.7386429309844971,
-0.04922552406787872,
-1.9589742422103882,
0.1930263489484787,
-0.5755698680877686,
0.22392697632312775,
0.5201863050460815,
-0.24319016933441162,
0.20214076340198517,
-0.30481523275375366,
0.3812429904937744,
-0.6073545813560486,
-0.336454272270202... |
Given a prompt and two completions from a language model, select the completion that is more topical with respect to continuing the prompt. A prompt-completion pair is defined to be topical if the completion maintains relevance and logical succession (i.e. stays on topic) with the prompt. The flow from the prompt to th... | Completion A
| 7 | NIv2 | task139_detoxifying-lms_classification_topicality | fs_opt | [
0.5052606463432312,
-0.18032360076904297,
0.15662847459316254,
0.0800035297870636,
-0.5397013425827026,
-0.7996916770935059,
0.6450768113136292,
0.3258812427520752,
-0.26079094409942627,
0.008887628093361855,
-0.3046698570251465,
0.28911837935447693,
-0.24842357635498047,
-0.01842908188700... |
Teacher:In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to ... | A man walks into the colorful building. | 6 | NIv2 | task184_snli_entailment_to_neutral_text_modification | zs_opt | [
-0.4009793996810913,
0.6887573003768921,
0.1733841598033905,
-0.7321300506591797,
0.21866156160831451,
-0.3521779775619507,
-0.5024232268333435,
0.47290268540382385,
0.06201539933681488,
-0.11427915096282959,
-0.8266589641571045,
-0.716566801071167,
-0.6069785952568054,
-0.1264042407274246... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Polish.
(拍手) クリス・アンダーソン ： ありがとう
Output: | (Brawa) Chris Anderson: Dziękuję. | 1 | NIv2 | task1097_ted_translation_ja_pl | zs_opt | [
0.3795892000198364,
0.23077377676963806,
-0.15709474682807922,
-0.4492419362068176,
0.1485656350851059,
-0.32978498935699463,
0.2712596356868744,
-0.7936359643936157,
0.602904200553894,
-0.028609996661543846,
-0.25062182545661926,
0.24988636374473572,
-0.23560550808906555,
0.30490189790725... |
Teacher:You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to find the correct answer (and return the string of the correct option, not option1/2) for the given question from the given options and based on the given passage. Answer of the question can b... | 8:30 PM | 6 | NIv2 | task164_mcscript_question_answering_text | zs_opt | [
0.4722375273704529,
0.8461318612098694,
0.21480455994606018,
0.22641123831272125,
-0.3088335394859314,
-0.0775507315993309,
0.5150620937347412,
0.49067166447639465,
0.16139265894889832,
-0.024553800001740456,
0.36385220289230347,
0.1951560080051422,
-0.18526944518089294,
-0.277688950300216... |
Part 1. Definition
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Galician.
Part 2. Example
Gracias.
Answer: Grazas.
Explanation: The Spanish sentence is correctly translated into Galician, because the meaning is preserved.
Part 3. Exercise
¿Saben por qué? Porque el significado ... | Sabedes por que? Porque o sentido de melodía era a dor. | 7 | NIv2 | task1100_ted_translation_es_gl | fs_opt | [
-0.6273990869522095,
1.003639817237854,
0.09637993574142456,
-0.6272127628326416,
0.28564006090164185,
-1.5492995977401733,
0.5634036064147949,
0.4306039810180664,
-0.1545339822769165,
-0.14817044138908386,
-0.45849502086639404,
0.17961162328720093,
-0.94754958152771,
-0.16846635937690735,... |
Teacher:In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story to not connect with the rest of the story. Ensure that the generated sentence is contextually relevant to the story.
Teacher: Now, understand the problem? Solve this in... | Many people commented that it was very good. | 6 | NIv2 | task215_rocstories_incorrect_answer_generation | zs_opt | [
-0.7498437166213989,
1.1453627347946167,
0.051931820809841156,
-0.9683648347854614,
-0.3078191876411438,
-0.24934567511081696,
0.26985296607017517,
0.881078839302063,
-0.29112324118614197,
-0.43942731618881226,
-0.6236867904663086,
0.38824373483657837,
-0.15081752836704254,
-0.271740287542... |
You will be given a definition of a task first, then some input of the task.
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 a... | 0 | 1 | NIv2 | task956_leetcode_420_strong_password_check | zs_opt | [
0.4535457491874695,
1.0043725967407227,
-0.21036817133426666,
-0.5628195405006409,
-0.06130671501159668,
-0.3376381993293762,
1.3852663040161133,
-0.09569448232650757,
0.3740656077861786,
-0.7275037169456482,
0.00427872221916914,
-0.03410757705569267,
-0.8127349019050598,
-0.45071640610694... |
Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Hebrew.
Input: 近くすらありません
Output: | זה לא מאוזן בשום אופן. אפילו לא מתקרב לכך. | 3 | NIv2 | task1225_ted_translation_ja_he | zs_opt | [
0.10198238492012024,
0.5043953061103821,
-0.2881554365158081,
0.0263568926602602,
-0.29196035861968994,
0.4399610161781311,
0.06228475645184517,
-0.40108537673950195,
0.8199349641799927,
-0.2574854791164398,
-0.6274915933609009,
0.18262097239494324,
-1.003233551979065,
-0.6347836256027222,... |
Given two noun phrases (arguments) and relationship between them, form a sentence that expresses theses arguments with the given relationship.
Input: Consider Input: Relationship: 'be convert to', Argument/Subject 1: 'lombard', Argument/Subject 2: 'christianity'
Output: Not long after it had been sacked by Totila and... | Output: Woodrow Wilson had been president of Princeton University , governor of New Jersey , and America 's finest political scientist .
| 2 | NIv2 | task677_ollie_sentence_answer_generation | fs_opt | [
-0.057415276765823364,
0.9817559123039246,
-0.048921551555395126,
-0.04605282470583916,
-0.4482306241989136,
-0.9024372100830078,
-0.08739076554775238,
0.7642048001289368,
0.17325367033481598,
-0.9167458415031433,
-0.24475252628326416,
0.22651737928390503,
-0.5647656917572021,
-0.490236014... |
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the e... | Yes | 9 | NIv2 | task1203_atomic_classification_xreact | zs_opt | [
0.10686267912387848,
0.4160614013671875,
0.4165147542953491,
-0.40835025906562805,
-0.3928069770336151,
-1.1651954650878906,
1.1815485954284668,
0.6133052110671997,
-0.4154626727104187,
-0.48710840940475464,
-0.38669225573539734,
-0.09851561486721039,
-0.9512389898300171,
0.451061487197876... |
Instructions: Given news headlines and an edited word. The original sentence has word within given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Classify news headlines into "Funny" and "Not Funny" that have been modified by humans using an edit word to make them funny... | Funny | 3 | NIv2 | task495_semeval_headline_classification | zs_opt | [
0.12596268951892853,
0.6586894392967224,
0.14233073592185974,
-0.18512311577796936,
-0.28748542070388794,
-0.3182688355445862,
-0.4091832637786865,
0.8662267923355103,
0.11079944670200348,
-0.1501830518245697,
-0.4749164879322052,
-0.3311041593551636,
-0.37913551926612854,
0.11472879350185... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Hebrew.
Nella fisica classica, c'è sempre una qualche frizione, una perdita di energia. | בפיזיקה קלאסית, תמיד יש איזה שהוא חיכוך, איבוד אנרגיה כלשהוא. | 0 | NIv2 | task1251_ted_translation_it_he | zs_opt | [
-0.9049950242042542,
0.5184310674667358,
-0.5009984970092773,
-0.43275806307792664,
-0.3903079330921173,
-0.3463762104511261,
0.6456937789916992,
0.504547119140625,
0.5745545029640198,
-0.5422497391700745,
-0.431868314743042,
-0.20493215322494507,
-0.7483751177787781,
0.7212616801261902,
... |
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].
[EX Q]: Verify if the sentiment of the following document towards the entity Frederica Wilson is Neutral . A... | no
| 6 | NIv2 | task423_persent_document_sentiment_verification | fs_opt | [
0.11073515564203262,
0.17945285141468048,
-0.4670059084892273,
0.0741705447435379,
0.6252844929695129,
-0.1946946084499359,
0.3029564619064331,
1.095410943031311,
0.09197443723678589,
0.05624125525355339,
0.42985203862190247,
0.33438247442245483,
0.2974923849105835,
-0.14418905973434448,
... |
instruction:
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Spanish.
question:
Mas contaram-me que era a história dos seres humanos, apesar de ter apenas duas mulheres.
answer:
Pero se me dijo que esta era la historia sobre los seres humanos, a pesar de que sólo había dos ... | Podemos hacer una diferencia, y hacer una diferencia, no sólo para las mujeres, sino para la economía global que desesperadamente necesita sus contribuciones.
| 9 | NIv2 | task1276_ted_translation_pt_es | fs_opt | [
-0.22208262979984283,
0.4545563757419586,
-0.5387250185012817,
-0.10767816752195358,
-0.11253851652145386,
-0.8186205625534058,
-0.27570483088493347,
1.2498281002044678,
-0.2709907591342926,
-0.06937611103057861,
-0.6020869016647339,
-0.0018112114630639553,
-0.14935040473937988,
-0.1569902... |
Detailed Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to con... | A man wearing a dress with a flower in hand, walks home. | 4 | NIv2 | task187_snli_entailment_to_contradiction_text_modification | fs_opt | [
-0.10424576699733734,
0.27977699041366577,
0.5506712198257446,
-0.5010562539100647,
0.1791251003742218,
-0.4474882483482361,
-0.8098186254501343,
0.7633558511734009,
0.20796456933021545,
0.17713114619255066,
-0.9074387550354004,
-0.46420955657958984,
-0.4145754277706146,
-0.273203939199447... |
Q: In this task, you're given a statement, and three sentences as choices. Your job is to determine which sentence clearly disagrees with the statement. Indicate your answer as '1', '2', or '3' corresponding to the choice number of the selected sentence.
Statement: But it wouldn't have made any difference if they'd bee... | 1 | 7 | NIv2 | task202_mnli_contradiction_classification | zs_opt | [
0.19790640473365784,
0.438306987285614,
-0.042713478207588196,
0.20995193719863892,
-0.042388785630464554,
-0.8857301473617554,
0.32252293825149536,
0.6453066468238831,
0.2955830693244934,
0.1761159598827362,
-0.17518800497055054,
0.020363040268421173,
-0.4991207718849182,
-0.4589827358722... |
You will be given a definition of a task first, then some input of the task.
In this task your given a passage and a question in Catalan, you must answer the question based on the passage. The answer to the question can be extracted directly from the passage. The question will have a single correct answer. The answer w... | per segellar la reconciliació entre les dues famílies enemistades des de fa temps | 1 | NIv2 | task837_viquiquad_answer_generation | zs_opt | [
1.0018234252929688,
0.8145064115524292,
-0.7553856372833252,
0.1387663632631302,
-0.5739892721176147,
-0.8590527772903442,
0.9770497679710388,
0.8240972757339478,
0.37846046686172485,
0.09641065448522568,
-0.10369434952735901,
0.2783467173576355,
-0.5575965046882629,
0.6556506752967834,
... |
Instructions: 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.
Input: Sailing into and tying up in strange locks is particularly touchy when the lock is also being used by commercial shipping.
Output: | Ukuhamba ngesikhephe nokubophelele kwizitshixo ezingaqhelekanga icaphu-caphu ngakumbi xa isitshixo naso sisetyenziswe zinqanawa zoshishino. | 3 | NIv2 | task872_opus_xhosanavy_translation_eng_xhosa | zs_opt | [
0.02164508029818535,
0.5117436647415161,
-0.2586591839790344,
-0.16031578183174133,
-0.19552966952323914,
-0.33811482787132263,
0.39369240403175354,
0.01669904589653015,
-0.25533896684646606,
0.25021424889564514,
-0.10831724107265472,
-0.10284546762704849,
-0.3849107623100281,
-0.239180058... |
Detailed Instructions: Generate an appropriate title for the given text. The generated title must be short and include the main topic of the text. The preferred titles are under fifteen words.
Q: The art school is in talks to purchase the former Stow College building in nearby West Campbell Street. The heart of the exp... | Glasgow School of Art to expand its Garnethill campus | 9 | NIv2 | task1356_xlsum_title_generation | zs_opt | [
0.0431428924202919,
0.41270673274993896,
0.3938472270965576,
-0.7298513650894165,
0.6456918120384216,
-0.5174132585525513,
-0.09088076651096344,
0.5029899477958679,
-0.5224577784538269,
0.4765907824039459,
0.6071978807449341,
0.5513713955879211,
-0.9619714617729187,
0.3326161503791809,
-... |
In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Ex Input:
We apply attention probes to the task of identifying the existence and type of dependency relation between two words. Our first experiment is an e... | Yes
| 1 | NIv2 | task460_qasper_answer_generation | fs_opt | [
-0.1461123526096344,
0.18178603053092957,
-0.7113479375839233,
0.7821173667907715,
-0.11304172873497009,
-0.4656120538711548,
0.9105355739593506,
0.6462754011154175,
0.45581042766571045,
0.05606595426797867,
-0.6312385201454163,
0.06490228325128555,
-0.6341742277145386,
-0.1019157767295837... |
In this task, you're given a review from Amazon and your task is to generate the name of the category of the product based on the review given by the user. The categories are: kitchen, office product, watch, wireless, other, toy, digital video download, camera, jewelry, pet products, sports, industrial supplies, baby p... | automotive | 6 | NIv2 | task617_amazonreview_category_text_generation | fs_opt | [
0.07639582455158234,
0.1884104609489441,
-0.6652995347976685,
0.3316567540168762,
0.49002110958099365,
0.057382140308618546,
0.5525972247123718,
0.9813077449798584,
-0.5748745203018188,
0.35089993476867676,
0.6337531208992004,
0.40179306268692017,
-0.4069518744945526,
0.24086423218250275,
... |
Definition: In this task, you will be presented with a question in Dutch language, and you have to write the named entities from the question if present. B denotes the first item of a phrase and an I any non-initial word. Here is the list of terms used: person names (PER), organizations (ORG), locations (LOC) and misce... | Ethiopië: B-LOC, Eritrese: B-MISC | 2 | NIv2 | task1544_conll2002_named_entity_recognition_answer_generation | zs_opt | [
-0.0744985044002533,
0.10070504248142242,
0.28197377920150757,
-0.2911992073059082,
-0.34494349360466003,
-0.1810227632522583,
1.1001803874969482,
-0.035277269780635834,
0.68992018699646,
-0.2884993553161621,
-0.8191747665405273,
0.44145941734313965,
-0.21922747790813446,
-0.21147903800010... |
Teacher:In this task, you're given a text which is the body of a document and a title which is the title of the document. Here the title is present in the document and it is the entity which is referred in the document. The title might have some text in parentheses, for example: "HMS Mallow (K81)", or be slightly diffe... | No | 6 | NIv2 | task630_dbpedia_14_classification | zs_opt | [
-0.743107795715332,
0.905274510383606,
0.15799182653427124,
-0.2949528098106384,
0.10270358622074127,
-0.8376861810684204,
0.8744692206382751,
0.7153838276863098,
0.12037140130996704,
-0.037011951208114624,
0.02791626937687397,
0.09607493877410889,
-0.3536697030067444,
-0.12712633609771729... |
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 deter... | No | 3 | NIv2 | task1203_atomic_classification_xreact | fs_opt | [
0.3335022032260895,
0.12076764553785324,
0.4823678731918335,
-0.09477008134126663,
-0.17705503106117249,
-1.2134824991226196,
1.2483916282653809,
0.43576163053512573,
-0.8245691061019897,
-0.5307685732841492,
-0.4727168083190918,
-0.07421915233135223,
-1.0748810768127441,
0.782015442848205... |
Given news headlines and an edited word. The original sentence has word within given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Classify news headlines into "Funny" and "Not Funny" that have been modified by humans using an edit word to make them funny.
--------
Qu... | Funny
| 7 | NIv2 | task495_semeval_headline_classification | fs_opt | [
0.28491491079330444,
0.13642707467079163,
-0.20358827710151672,
0.14136886596679688,
-0.3747590184211731,
-0.6349886655807495,
-0.19063830375671387,
1.3377363681793213,
0.14642110466957092,
0.2211737185716629,
-1.0977723598480225,
-0.05086439475417137,
-0.4288020133972168,
0.15493887662887... |
Given a paragraph about cooking, and a set of conversational questions and answers about the paragraph, say whether the passage contains sufficient information to answer the follow-up question. Say Yes if it is answerable; otherwise, say No. The paragraph has the prefix 'CONTEXT:'. Each conversation question has a pref... | Yes
| 7 | NIv2 | task1439_doqa_cooking_isanswerable | fs_opt | [
0.45975595712661743,
-0.12461419403553009,
0.22735832631587982,
0.3312394917011261,
-0.2227417379617691,
-0.896263837814331,
0.9531940221786499,
0.425068199634552,
-0.5098707675933838,
0.15845125913619995,
0.6461304426193237,
0.31204450130462646,
-0.7659305334091187,
0.7462106943130493,
... |
Teacher: The task is about translation from Telugu to English. While performing the translation you must preserve the original meaning. Do not include any words which are only limited to your native place.
Teacher: Now, understand the problem? If you are still confused, see the following example:
అనేకవింతపురాణములు భారత... | Police suspect a rival gang in the Algiers area of committing the vicious murders and say it looked like an invasion of at least five assailants. | 2 | NIv2 | task1324_open_subtitles_te_en_translation | fs_opt | [
-0.09573996067047119,
0.9404464960098267,
0.3477601706981659,
-0.010502618737518787,
-0.16856935620307922,
-1.2065932750701904,
-0.17776618897914886,
0.35357213020324707,
-0.4037894308567047,
-0.6113723516464233,
-0.5091971158981323,
-0.26353520154953003,
-0.4208488166332245,
-0.4603084921... |
instruction:
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 i... | yes
| 9 | NIv2 | task108_contextualabusedetection_classification | fs_opt | [
0.14502498507499695,
0.41510075330734253,
0.5942382216453552,
-0.021705565974116325,
0.009788290597498417,
-0.6618942022323608,
1.1705615520477295,
0.4844511151313782,
-0.0515148900449276,
0.7196974158287048,
-0.014126203954219818,
-0.087882399559021,
-0.5897220373153687,
-0.23567697405815... |
Detailed Instructions: This task is reading a paragraph and determining if it has proper nouns in it or not. A proper noun is a noun that designates a particular being or thing, does not take a limiting modifier, and is usually capitalized in English. The answer is true if at least one proper noun is present in the sen... | True | 8 | NIv2 | task1705_ljspeech_classification | zs_opt | [
-0.4038676917552948,
0.42647024989128113,
0.17375847697257996,
0.31676578521728516,
-0.10986114293336868,
-0.13973034918308258,
0.49421292543411255,
0.16526074707508087,
0.020227044820785522,
-0.18419885635375977,
-0.4163559675216675,
-0.1728442907333374,
-0.637230634689331,
-0.28719937801... |
Q: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
The words are represented as fixed length vectors INLINEFORM0 resulting from the concatenation of GloVe pre-trained embeddings and DepecheMood BIBREF19 le... | concatenation of GloVe pre-trained embeddings and DepecheMood BIBREF19 lexicon representation cannot directly concatenate re-build the latter in token-based form | 7 | NIv2 | task460_qasper_answer_generation | zs_opt | [
-0.18010614812374115,
0.36127084493637085,
0.5120699405670166,
-0.5513554215431213,
-0.05806271731853485,
-0.5304399728775024,
0.7217852473258972,
0.38996246457099915,
0.10001954436302185,
0.13786424696445465,
-0.9791783094406128,
0.3142147660255432,
-0.31418734788894653,
0.231475383043289... |
In this task, you are given a question. You have to answer the question based on your information.
Ex Input:
Richard Fisk is the son of what fictional supervillain that was created by Stan Lee and John Romita Sr.?
Ex Output:
Kingpin
Ex Input:
Which coach of a Pac-12 Conference team was also head coach of the Texas ... | no
| 1 | NIv2 | task1293_kilt_tasks_hotpotqa_question_answering | fs_opt | [
-0.933699369430542,
0.19786593317985535,
-0.996118426322937,
-0.2921895384788513,
-0.5469001531600952,
0.0322846956551075,
1.0763580799102783,
-0.22470329701900482,
0.4188288450241089,
-0.10050748288631439,
-0.324057400226593,
0.4893338680267334,
-1.0645020008087158,
0.609134316444397,
-... |
instruction:
Given an Amazon review, indicate whether it is a 'Positive Review' or 'Negative Review'.
question:
There is not much to say in this review except that everything reported in this item's description is accurate. Have not had any problems with it.
answer:
Positive Review
question:
Excellent charger with t... | Positive Review
| 9 | NIv2 | task1343_amazon_us_reviews_rating | fs_opt | [
0.5829852819442749,
-0.1485825926065445,
-0.9330551624298096,
-0.024524059146642685,
0.31000205874443054,
-0.9543763399124146,
1.208146572113037,
0.1022978127002716,
0.675169825553894,
0.47360846400260925,
0.516575813293457,
0.4320027828216553,
-0.4700694680213928,
-0.2822316884994507,
0... |
Q: You are given a statement written in Marathi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Statement: ह्या 'खास' अंकांच्या क्षेत्रातील ‘मनोरंजन’ची वाङ्मयाच्या व समाजेतिहासाच्या दृष्टीने उल्लेखनीय कामगिर... | आगरकर | 7 | NIv2 | task950_wiki_cloze_mr_multiple_choice_question_answering | zs_opt | [
0.4216248691082001,
0.37265676259994507,
0.25366103649139404,
0.3060376048088074,
-0.32649093866348267,
-0.863408625125885,
0.5806395411491394,
0.02680937387049198,
-0.1252589225769043,
-0.21095559000968933,
-0.8353838920593262,
-0.2861258387565613,
-0.3873964250087738,
0.04589108377695083... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Spanish.
[EX Q]: آنها در بهره برداری کردن از توانایی کارآفرینی محلی موفق هستند.
[EX A]: es en aprovechar ese talento emprendedor local.
[EX Q]: حالا چطور می تونه این اتفاق رخ بده ؟
[EX A]: ¿Cómo ha podido ocurrir esto?
[EX Q]: هر ب... | Y lo que sea que pueda hacer para ese fin, lo haré con gusto a pesar de los riesgos.
| 6 | NIv2 | task1267_ted_translation_fa_es | fs_opt | [
-0.7370113134384155,
1.2343206405639648,
0.04733869433403015,
-0.046153828501701355,
-0.6706566214561462,
0.3627423644065857,
0.7141023278236389,
0.6546587944030762,
1.0375392436981201,
-0.6666717529296875,
-0.9166523218154907,
0.8489304780960083,
-0.27891969680786133,
0.04854646325111389,... |
This task is about translating a given English language sentence to French.
[Q]: Plus we're going over 45.
[A]: Plus nous devons aller sur 45.
[Q]: Like in western countries - lucky number 7.
[A]: Comme en occident - le chiffre 7.
[Q]: That's really the main question before us today.
[A]: | Ceci est vraiment la question principale qui se présente à nous aujourd'hui.
| 5 | NIv2 | task1689_qed_amara_translation | fs_opt | [
0.12024129927158356,
1.337453007698059,
0.29866117238998413,
-0.6354345083236694,
-0.014014983549714088,
-0.17050161957740784,
0.4683714509010315,
0.27258628606796265,
0.47329849004745483,
-0.4272739887237549,
-0.523532509803772,
0.24111947417259216,
-0.6652815341949463,
0.4913303256034851... |
instruction:
You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
question:
E non siamo stati in grado di farlo con un robot.
answer:
E non fomos quen de facelo nun robot.
question:
E noi li stiamo dragando molto più velocemente di quanto i sistemi della natura riescano a ... | Por exemplo, están as chamadas tartarugas de Blanding.
| 9 | NIv2 | task1252_ted_translation_it_gl | fs_opt | [
-0.4933761954307556,
1.0802886486053467,
0.3016508221626282,
-0.27604764699935913,
-0.26641035079956055,
-1.090510368347168,
0.029510919004678726,
0.6664982438087463,
-0.584011435508728,
-0.12085239589214325,
-0.6357194185256958,
0.3145567774772644,
-0.6547460556030273,
0.5874322652816772,... |
Given a sentence in Igbo language, translate the sentence to English language keeping the meaning of the original sentence intact
Q: Igbo sentence: Ọ bụghị mgbe niile.
A: | Not always. | 4 | NIv2 | task449_opus_paracrawl_ig_en_translation | zs_opt | [
-1.019272804260254,
0.5543321371078491,
-0.15994229912757874,
-0.039538994431495667,
-0.2113654762506485,
-1.4566220045089722,
0.0030009285546839237,
0.819139838218689,
0.07052694261074066,
-0.28308504819869995,
0.7270195484161377,
-0.5866467952728271,
-0.7356751561164856,
0.25764289498329... |
Teacher:In this task, you are given a dialogue between a user and an assistant, where users and assistants converse about geographic topics like geopolitical entities and locations. The task here is to find if the dialogue is by the user or assistant. Classify your answers into user and assistant.
Teacher: Now, underst... | user | 6 | NIv2 | task577_curiosity_dialogs_classification | zs_opt | [
-0.04943061247467995,
0.22841045260429382,
0.01463412120938301,
-0.701583981513977,
-0.3762819766998291,
0.05386211723089218,
0.9633891582489014,
-0.3982951045036316,
0.7315018177032471,
-0.37942469120025635,
-0.5798476934432983,
-0.34209275245666504,
-0.4416663348674774,
-0.15888613462448... |
The input contains a debate topic, an argument on the topic and a keypoint, separated by "<sep>". Your task is to answer if the keypoint matches the argument and summarizes exactly what the argument means, in the context of the given topic.
[Q]: Topic: We should ban private military companies<sep>Argument: The fact th... | False
| 5 | NIv2 | task1285_kpa_keypoint_matching | fs_opt | [
0.06085790693759918,
0.6738852858543396,
-0.6516728401184082,
-0.5879125595092773,
-0.7485288381576538,
-0.5899848937988281,
0.6588996648788452,
0.6462111473083496,
0.5144082307815552,
0.38098466396331787,
-0.5793397426605225,
0.26594775915145874,
-0.6787939667701721,
-0.40362051129341125,... |
TASK DEFINITION: In this task, you are given a hateful post in Bengali that expresses hate or encourages violence in a geopolitical context based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: geopolitical or non-geopolitical... | non-geopolitical
| 8 | NIv2 | task1493_bengali_geopolitical_hate_speech_binary_classification | fs_opt | [
-0.4747963547706604,
-0.21534991264343262,
0.6885952949523926,
0.24829275906085968,
-0.5580466985702515,
-0.6355783343315125,
0.24516114592552185,
0.5073413848876953,
0.2801893651485443,
0.1372620165348053,
-0.39533865451812744,
-0.2358500063419342,
-0.3529233932495117,
-0.3674480319023132... |
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... | a | 3 | NIv2 | task213_rocstories_correct_ending_classification | fs_opt | [
0.036460015922784805,
0.24756401777267456,
0.0618709959089756,
0.2675885558128357,
0.05029376596212387,
0.03118455410003662,
0.7242138981819153,
1.064591407775879,
-0.2027330845594406,
0.5127166509628296,
-0.657400906085968,
-0.20198872685432434,
-0.09929804503917694,
-0.14505238831043243,... |
Detailed Instructions: Given the Target and Argument texts detect the stance that the argument has towards the topic. There are three types of stances "in favor", "against", and "neutral".
Q: Topic: Tidal energy
Argument: Repairing tidal energy is difficult and expensive.
A: | against | 9 | NIv2 | task209_stancedetection_classification | zs_opt | [
0.10955943167209625,
0.16426315903663635,
0.15778636932373047,
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-1.7202988862991333,
0.8628688454627991,
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0.457605242729187,
0.29369914531707764,
0.3235241770744324,
-0.040736496448516846,
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-0.0440605059266090... |
Part 1. Definition
Given an entity, a before event, an after event, and an attribute related to the entity, generate a sentence as output. Your sentence should show the changes in the attribute of the entity.
Part 2. Example
entity: arm
before: free
after: grasped
attr: state
Answer: state of arm was free before an... | state of concentration was slight before and intense afterwards | 7 | NIv2 | task1631_openpi_answer_generation | fs_opt | [
0.314439058303833,
0.4005837142467499,
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0.38747549057006836,
0.7995345592498779,
0.46783775091171265,
-0.27128100395202637,
-0.20830683410167694,
0.01575625129044056,
-0.9224400520324707,
-0.438543498516082... |
This task involves creating questions from a given passage that involve some kind of complex reasoning (including numerical reasoning).
The generated questions must require looking at more than one part of the passage to answer. Try to use a variety of reasoning types in your questions (some of the sample reasoning ty... | How many field goals did Matt Prater kick in the first half? | 8 | NIv2 | task026_drop_question_generation | fs_opt | [
1.025786280632019,
0.2901986837387085,
-0.4393767714500427,
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0.5837585926055908,
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0.8877195119857788,
0.5745900869369507,
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0.6218923330307007,
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0.21952715516090393,
... |
Definition: Given a prompt and two completions from a language model, select the completion that is the least toxic with respect to continuing the prompt. Toxicity is defined as a rude, disrespectful, or unreasonable statement that is likely to make you leave a discussion. Generate either Completion A or Completion B.
... | Completion B | 2 | NIv2 | task137_detoxifying-lms_classification_toxicity | zs_opt | [
0.5936164259910583,
0.0957307517528534,
0.3364489674568176,
-0.1225157231092453,
0.04968582093715668,
-0.5973941683769226,
0.5735026597976685,
0.01952204294502735,
-0.18343305587768555,
0.47307732701301575,
-1.0337932109832764,
-0.14308738708496094,
-0.11241621524095535,
-0.350043833255767... |
Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a classification of each word from the labels (reason) = [NO_DIFF (co... | ['CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', '... | 4 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | zs_opt | [
0.5368926525115967,
-0.17736589908599854,
0.009595739655196667,
-0.21701131761074066,
0.46304237842559814,
-0.5897234678268433,
0.5525041818618774,
0.8967360854148865,
-0.39327386021614075,
0.29808932542800903,
0.27206695079803467,
-0.15608547627925873,
-0.20904836058616638,
-0.25055783987... |
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.
Q: Beginning: Stacy boug... | 1 | 4 | NIv2 | task070_abductivenli_incorrect_classification | zs_opt | [
-0.05348598212003708,
0.20392856001853943,
0.5658746957778931,
-0.21991482377052307,
-0.4621692895889282,
-0.16270102560520172,
0.22441598773002625,
0.635539710521698,
0.322138249874115,
-0.08897857367992401,
-0.26831796765327454,
-0.04317871481180191,
0.00670420378446579,
-0.0694167464971... |
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 specified in the triples and (b) is a well-formed sentence easily understandable b... | Solution: When michele pirro is the pole position 21 june is the date. | 5 | NIv2 | task1409_dart_text_generation | fs_opt | [
-0.3235820233821869,
0.3774266541004181,
-0.5887417793273926,
-0.43367743492126465,
-0.26423051953315735,
-0.24126029014587402,
0.028253166005015373,
1.0477559566497803,
-0.26012176275253296,
0.012236070819199085,
-0.23689992725849152,
-0.09133739024400711,
-0.19056251645088196,
-0.6782003... |
The input is a conversation between an automated system and a user looking for suggestions for pubs, restaurants and coffee shops in Cambridge. In the dialogue, the user may provide some criteria for the type of place they want such as price range, cuisine, etc. Given such a dialogue, output the price range the user if... | Moderate | 8 | NIv2 | task1500_dstc3_classification | fs_opt | [
0.8249856233596802,
0.09940825402736664,
-0.45405885577201843,
0.025801334530115128,
0.26292771100997925,
-0.7542508840560913,
0.308898389339447,
0.4238016605377197,
-0.38884544372558594,
0.2972417175769806,
0.7408897876739502,
0.04433630034327507,
-0.30575570464134216,
-0.2429142743349075... |
Given the task definition and input, reply with output. 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, outp... | Answer: 2 | 5 | NIv2 | task237_iirc_answer_from_subtext_answer_generation | zs_opt | [
-0.664036750793457,
0.33775946497917175,
0.19079431891441345,
0.5432488918304443,
-0.31827014684677124,
0.21336254477500916,
0.5694953203201294,
0.13701383769512177,
0.13154509663581848,
0.23733606934547424,
-0.6344290971755981,
-0.16063977777957916,
-0.8380911350250244,
-0.082271076738834... |
Instructions: A text is given in English. Translate it from the English language to the Telugu language. The translation must not omit or add information to the original sentence.
Input: The present 11 TRCA slabs will be merged into only three TRCA Slabs with two levels each for BPMs and other than BPMs.
Output: | ప్రస్తుతం ఉన్న 11 టి ఆర్ సి ఏ స్లాబులను కేవలం మూడు టి ఆర్ సి ఏ స్లాబులుగా కుదించడం జరిగింది. బిపిఎమ్ లకు, బిపిఎమ్ లు మినహా మిగిలిన వారికీ - ఒక్కొక్కరికీ రెండేసి స్థాయిలు నిర్ణయించారు. | 3 | NIv2 | task1047_pib_translation_english_telugu | zs_opt | [
0.20276951789855957,
1.1003152132034302,
0.036308884620666504,
0.31056278944015503,
0.3588716387748718,
-0.8147603273391724,
0.04097010940313339,
0.15319839119911194,
-0.14342394471168518,
0.3486796021461487,
-0.1841190904378891,
0.2412940263748169,
-0.5478032231330872,
0.22871416807174683... |
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... | Solution: No | 5 | NIv2 | task1213_atomic_classification_desires | fs_opt | [
0.3726212978363037,
0.14290642738342285,
0.5146448016166687,
-0.10915155708789825,
-0.48637935519218445,
-0.428829163312912,
0.8108581900596619,
0.7420700192451477,
-0.8698610067367554,
-0.2310289442539215,
-0.32281094789505005,
-0.6511456966400146,
-0.5646962523460388,
-0.0638627484440803... |
Given the task definition and input, reply with output. You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish.
אנו מקבלים זאת ממפקד האוכלוסין
| Los obtenemos de los datos de censos. | 5 | NIv2 | task1236_ted_translation_he_es | zs_opt | [
-0.5809213519096375,
0.6058541536331177,
0.0990687906742096,
-0.41606491804122925,
-0.4315264821052551,
-0.6206645369529724,
0.30015021562576294,
0.39629483222961426,
0.8039596080780029,
-0.7136826515197754,
-0.6946055889129639,
0.44274190068244934,
-0.5202772617340088,
0.4418395161628723,... |
In this task, you are given a sentence and a question, you would be asked to create the answer which is contained in the sentence provided.
Sentence: Age causes reduction of elasticity in all organs. Question: What causes reduction of elasticity in all organs? | age | 0 | NIv2 | task1555_scitail_answer_generation | zs_opt | [
0.27239859104156494,
1.7266205549240112,
-1.131279706954956,
-0.4242873787879944,
-0.527724027633667,
0.025116119533777237,
-0.19999486207962036,
1.0534149408340454,
0.4871048927307129,
-0.39653754234313965,
-0.37830138206481934,
-0.486400842666626,
-1.7485157251358032,
0.45854276418685913... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.
Example input: Dzisiaj, w Szwecji i innych bogatych krajach ludzie używają mnóstwo najróżniejszych urządzeń.
Example output: Hoxe, en Suecia e outros países ricos, a xente usa moitas máquinas diferentes.
Example explanation... | É importante para agora, para o antes posible. | 3 | NIv2 | task1261_ted_translation_pl_gl | fs_opt | [
-0.6824222803115845,
1.4569356441497803,
0.1566096842288971,
-0.6019247770309448,
-0.3647889792919159,
-0.8630540370941162,
1.333444595336914,
0.08315897732973099,
-0.12935024499893188,
0.02518034167587757,
-0.5546788573265076,
0.9219387769699097,
-0.021225888282060623,
-0.0886493772268295... |
Teacher: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
Teacher: Now, understand the problem? If you are still confused, see the following example:
מה מייחד את המוח האנושי?
Solution: 人の脳の何がそんなに特別なのでしょうか ？
Reason: The Hebrew sentence is correctly translated into Japanese.... | ジョンはふと思い出し「忘れないうちにナンシーにあの文書の送付を頼まなきゃ」 | 2 | NIv2 | task1235_ted_translation_he_ja | fs_opt | [
-0.4537314176559448,
0.05100414156913757,
0.630277156829834,
-0.7328983545303345,
-0.34348464012145996,
-0.7796154022216797,
0.7972222566604614,
-0.5020599961280823,
0.7173035144805908,
-1.0213189125061035,
-0.6884911060333252,
-0.06888910382986069,
-0.8925454616546631,
0.6584532260894775,... |
A text is given in English. Translate it from the English language to the Panjabi language. The translation must not omit or add information to the original sentence.
Input: Consider Input: In respect of housing for EWS and LIG beneficiaries, the houses to be built are required to be in the name of adult female member... | Output: ਰਾਸ਼ਟਰੀ ਯੁਵਾ ਸਸ਼ਕਤੀਕਰਣ ਕਾਰਯਕ੍ਰਮ (ਆਰਵਾਈਐੱਸਕੇ)
| 2 | NIv2 | task1007_pib_translation_english_punjabi | fs_opt | [
-0.516046404838562,
0.33201104402542114,
0.21841716766357422,
0.21347081661224365,
0.5166836977005005,
-0.7209203243255615,
1.0744540691375732,
0.7624902725219727,
-0.08706626296043396,
0.31517988443374634,
-0.22958090901374817,
0.6941229701042175,
-0.7235824465751648,
-0.5073854923248291,... |
Given a scientific question and its correct answer, generate supporting facts for the answer. This supporting fact can be an explanation for the answer to the given question.
Input: Consider Input: Question: What is lava called before it reaches the surface of the earth? Answer: magma
Output: Minerals form as magma o... | Output: How high or low a sound seems to a listener is its pitch. Pitch, in turn, depends on the frequency of sound waves.
| 2 | NIv2 | task593_sciq_explanation_generation | fs_opt | [
0.5188894271850586,
0.997694730758667,
-0.6730647683143616,
-0.10655717551708221,
-0.3040092885494232,
-0.5906429290771484,
-0.04095986485481262,
0.46480032801628113,
-0.008528162725269794,
0.2838534116744995,
-0.23537957668304443,
0.3294695019721985,
-0.6444970369338989,
-0.03227793797850... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Galician.
Q: هذا لأن الحكومة هي مثل محيط كبير والسياسة هي طبقة الست إنشات فوقها.
A: Iso é porque o goberno é un amplo océano e a política é o recheo da cima.
****
Q: باستخدام الرأس الأولى وهو الليزر ، سنقوم بعمل ثقب في المنطقة المصا... | Así aínda que sexas cego, podes colocar a túa man enriba del e imaxinar como son os carrís da carreteira e os obstáculos.
****
| 4 | NIv2 | task1105_ted_translation_ar_gl | fs_opt | [
-0.3638384938240051,
0.6885107159614563,
0.5484651923179626,
-1.2052502632141113,
-0.32710257172584534,
-0.23234927654266357,
0.8876248002052307,
0.5485772490501404,
-0.3745308220386505,
-0.022894293069839478,
-0.48960548639297485,
0.04308314621448517,
-0.377061128616333,
0.649607658386230... |
Q: 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.
I keep Regular bags and Decaf bags in my home at all times. Never ha... | 5 | 7 | NIv2 | task588_amazonfood_rating_classification | zs_opt | [
0.06407767534255981,
-0.7481897473335266,
0.2127843052148819,
0.06340217590332031,
0.5372599363327026,
0.12153179943561554,
0.8350442051887512,
0.44101694226264954,
-0.24693748354911804,
0.24989241361618042,
-0.5591899156570435,
-0.032944053411483765,
-0.7193577289581299,
0.091635227203369... |
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