inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
Detailed Instructions: In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_) and their corresponding answer. The sentence pair should look similar, and should be about two related but different objects; for example "trophy" and "suitcase". Additionally, t... | Sentence 1: By any measure the opera was a disaster compared to the symphony, as the _ was so stingily funded.
Answer1: opera.
Sentence 2: By any measure the opera was a disaster compared to the symphony, as the _ was so lavishly funded.
Answer2: symphony. | 4 | NIv2 | task029_winogrande_full_object | fs_opt | [
0.4996618628501892,
0.21993903815746307,
0.07621754705905914,
-0.5303164124488831,
0.6932520866394043,
-0.8018595576286316,
0.39642488956451416,
1.2867107391357422,
-0.6464533805847168,
-0.1537502110004425,
-0.37053102254867554,
-0.0075261713936924934,
-0.40376991033554077,
-0.122493095695... |
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.
Input: Consider Input: ['z', '9173', 's', '8937', 'h', '1881', '7929', 'b', '2441']
Output: 30361
Input: Consider Input: ['6347', '5495', '169', '9503', 'H', '571', '6105', 'X', 'r', ... | Output: 33412
| 2 | NIv2 | task499_extract_and_add_all_numbers_from_list | fs_opt | [
0.1439027041196823,
0.5279450416564941,
-0.6336262226104736,
-0.8584206104278564,
-0.18721044063568115,
-0.213462695479393,
0.09777158498764038,
-0.304743230342865,
-0.3742551803588867,
0.13777941465377808,
-1.1631650924682617,
0.2479127198457718,
0.2345925271511078,
-0.43931424617767334,
... |
Given the task definition and input, reply with output. In this task, you are given a sentence in the Japanese language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
「それは、絵入りラベルによる効果を... | "That was confirmed by research in New Zealand which supported the effectiveness of pictorial labelling." | 5 | NIv2 | task436_alt_ja_en_translation | zs_opt | [
-0.8955739736557007,
0.5538046956062317,
0.6454263925552368,
-0.47797995805740356,
0.01961217261850834,
-0.31534144282341003,
0.5050010681152344,
0.16305792331695557,
-0.11509694904088974,
-0.41051146388053894,
-0.2955905795097351,
0.49181121587753296,
-1.010063886642456,
0.082195609807968... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. Once you create a question you also need to provide the correct answer for it. Write your an... | Question: What was color of truck?, Answer: Mint-green | 1 | NIv2 | task182_duorc_question_generation | zs_opt | [
0.44365108013153076,
-0.014892732724547386,
-0.7623875141143799,
0.11104010790586472,
0.4317724108695984,
-0.20707523822784424,
0.44534510374069214,
0.6712188124656677,
-0.43043264746665955,
-0.2107343077659607,
0.6890115737915039,
0.6379562616348267,
-0.26726579666137695,
0.42748138308525... |
Detailed Instructions: 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 \*yes\* or \*no\*.
See one example b... | July 15, 2017 | 4 | NIv2 | task582_naturalquestion_answer_generation | fs_opt | [
-0.23313479125499725,
0.18882782757282257,
-0.17493531107902527,
0.31950315833091736,
-0.48478829860687256,
-0.816826581954956,
0.62093186378479,
-0.06413964927196503,
0.02798360213637352,
-0.8381609916687012,
-0.4006403982639313,
-0.061421722173690796,
-0.17807285487651825,
0.234421908855... |
instruction:
You are given a statement written in Malayalam. 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 .
question:
Statement: എ.ഡി. 1174-ൽ മുഹമ്മദ് ഗോറി അഫ്ഗാനിസ്ഥാന്റെ ഭരണാധികാരിയായി. കേവലം ഗോത്രവർഗ്ഗ നേ... | ഫാഹിയാന്റേയും
| 9 | NIv2 | task949_wiki_cloze_ml_multiple_choice_question_answering | fs_opt | [
0.44700688123703003,
0.5009579658508301,
-0.6752743721008301,
-0.15519483387470245,
-0.19805845618247986,
-0.7677668333053589,
0.6098273396492004,
1.0922210216522217,
0.0004558674991130829,
0.41310036182403564,
-0.5738008618354797,
0.1141463965177536,
-0.19840574264526367,
-0.4229436516761... |
Part 1. Definition
In this task, you are given a post in Spanish from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, it s... | Non-hateful | 7 | NIv2 | task334_hateeval_classification_hate_es | fs_opt | [
-0.3554946780204773,
0.22378411889076233,
0.6008550524711609,
0.5930212736129761,
-0.504828929901123,
-0.821786105632782,
0.2893832325935364,
1.1991938352584839,
0.47883379459381104,
0.010212592780590057,
-0.379672646522522,
-0.04089711606502533,
-0.47511404752731323,
-0.5754594802856445,
... |
In this task, you have to generate the title of the recipe given its required ingredients and directions.
Q: ingredients: 'Smoky Pork Burgers:', '1 pound ground pork sirloin', '1 cup finely chopped bacon, from about 2-3 rashers', '1/2 cup finely diced onion', '2-3 garlic cloves, minced', '2 tablespoons fennel seed', '... | Smoky Pork Burgers With Fennel And Red Cabbage Slaw | 4 | NIv2 | task569_recipe_nlg_text_generation | zs_opt | [
0.2155943512916565,
0.4009537994861603,
-0.480331152677536,
0.37424784898757935,
0.24492329359054565,
0.19533690810203552,
1.0910611152648926,
0.8018780946731567,
-0.3559182286262512,
0.10114900022745132,
0.3303782045841217,
0.35666972398757935,
-0.38076260685920715,
0.08358494192361832,
... |
Given an Amazon customer review, write a title for the review. The preferred titles are under fifteen words.
[Q]: This was just what I was looking for. Does all the things I need a notebook to do Love it
[A]: Perrrrfect
[Q]: Purchased one of these enclosures in order to be able to recover files from a dead laptop dr... | Four Stars
| 5 | NIv2 | task1342_amazon_us_reviews_title | fs_opt | [
-0.10522949695587158,
0.2218606173992157,
-0.1517464518547058,
-0.17690417170524597,
-0.15812070667743683,
-0.6892974376678467,
0.6037521362304688,
0.5701209306716919,
0.13696742057800293,
0.568657636642456,
0.43577054142951965,
0.42972826957702637,
-0.44867920875549316,
0.1239273846149444... |
Given the task definition and input, reply with output. You are given a sentence in English. Your job is to translate the English sentence into Japanese.
So what did we do?
| そこでどうしたか | 5 | NIv2 | task1218_ted_translation_en_ja | zs_opt | [
-0.5782507658004761,
0.48419883847236633,
0.6282095909118652,
0.16152316331863403,
0.5701375603675842,
-0.4758039116859436,
0.17972898483276367,
-0.2311435341835022,
0.5976831316947937,
-0.4598223567008972,
-0.04546244442462921,
0.43869900703430176,
-0.5158916711807251,
0.2642894387245178,... |
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 hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how w... | weakener | 0 | NIv2 | task937_defeasible_nli_social_classification | fs_opt | [
0.055928632616996765,
0.43054550886154175,
-0.13378728926181793,
0.16373710334300995,
0.12106733024120331,
-1.0562092065811157,
0.9760043025016785,
1.026058316230774,
0.24726644158363342,
-0.409858763217926,
-0.890110969543457,
-0.1439705193042755,
-0.3261494040489197,
0.1724553406238556,
... |
In this task, you are given two simple actions (associated with "A", "B"). You must identify which action is considered less ethical. Do not generate anything else apart from one of the following characters: 'A', 'B'.
Let me give you an example: (A) trying to be a decent parent
(B) remaining Friendly with my racist co... | B | 8 | NIv2 | task106_scruples_ethical_judgment | fs_opt | [
-0.07264737784862518,
0.0448729433119297,
0.39109113812446594,
-0.217296302318573,
-0.38788917660713196,
-0.20275910198688507,
0.21103793382644653,
0.6665149927139282,
0.22351661324501038,
0.6328245401382446,
0.09047377109527588,
-0.37032002210617065,
0.26600897312164307,
-1.03263354301452... |
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 | 3 | NIv2 | task1209_atomic_classification_objectuse | fs_opt | [
0.9197741746902466,
0.3946562111377716,
-0.04404504969716072,
0.35405898094177246,
-0.7570016980171204,
-1.3988221883773804,
0.6264933347702026,
0.9173383116722107,
-0.6488879323005676,
-0.03034055419266224,
-0.6596367955207825,
-0.29187583923339844,
-0.46575164794921875,
-0.15747299790382... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be given a list. The list is several integers and letters separated with a comma, written within a []. You can create new lists by dropping one of the items in the input list. Your task is to write a list containing all... | [['H', '6', '3', '1', '9'], ['H', '6', '3', '1', 's'], ['H', '6', '3', '9', 's'], ['H', '6', '1', '9', 's'], ['H', '3', '1', '9', 's'], ['6', '3', '1', '9', 's']] | 1 | NIv2 | task208_combinations_of_list | zs_opt | [
-0.05070968717336655,
0.4450299143791199,
-0.5173636674880981,
0.397782564163208,
0.45758065581321716,
-0.20887133479118347,
0.27719515562057495,
0.25796374678611755,
0.3577403426170349,
-0.11772625148296356,
-0.5812163949012756,
-0.24944251775741577,
0.1714078187942505,
0.0403877943754196... |
In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about that situation having read the premise. The update provides additional inform... | weakener
****
| 4 | NIv2 | task935_defeasible_nli_atomic_classification | fs_opt | [
0.4789310097694397,
0.40959498286247253,
-0.3128318786621094,
0.058453671634197235,
-0.3153281807899475,
-1.2133562564849854,
1.0139402151107788,
1.2002346515655518,
0.3858143389225006,
-0.7660678625106812,
-0.8593645691871643,
-0.30422544479370117,
-1.3121349811553955,
0.00958395749330520... |
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".
Example Input: My dogs are decidedly not "new age" or impressed by the fact that these dog treats "are high in protein, naturally preserved with ... | False
| 3 | NIv2 | task590_amazonfood_summary_correction_classification | fs_opt | [
0.015790140256285667,
-0.5922744274139404,
-0.34020042419433594,
0.05997660011053085,
0.4013649821281433,
0.010983649641275406,
0.7086702585220337,
0.936569094657898,
-0.6487919688224792,
0.08184778690338135,
-0.04267042130231857,
0.9089722633361816,
-0.41022494435310364,
0.050757993012666... |
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to... | Solution: Yes | 5 | NIv2 | task1198_atomic_classification_owant | fs_opt | [
0.3182143568992615,
-0.10699939727783203,
0.4081990122795105,
0.10827518999576569,
-0.04373942315578461,
-0.9471527934074402,
0.8848094940185547,
0.6560523509979248,
-1.0416698455810547,
-0.43202221393585205,
-0.28218990564346313,
-0.40449947118759155,
-0.5065346956253052,
0.06886830180883... |
Given the task definition, example input & output, solve the new input case.
In this task, you need to replace a letter in the sentence with another given letter.
Example: Sentence: 'group of motorcycle motorists trying to merge into traffic'. Replace the letter 'o' with 'n' in the sentence.
Output: grnup nf mntnrcycle... | three zebras framed by the legs sf an elephant | 1 | NIv2 | task160_replace_letter_in_a_sentence | fs_opt | [
-0.6739678382873535,
0.7408495545387268,
-0.47939586639404297,
0.030891623347997665,
0.01639094017446041,
0.20944097638130188,
-0.19595234096050262,
0.4683057367801666,
0.06316971778869629,
-0.4721199870109558,
-0.162466898560524,
-0.00634191557765007,
0.21928909420967102,
-0.6811410188674... |
instruction:
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You h... | No
| 9 | NIv2 | task1213_atomic_classification_desires | fs_opt | [
0.2130720317363739,
0.19145163893699646,
0.25665223598480225,
-0.21504291892051697,
-0.5382845401763916,
-0.6990959048271179,
1.291016936302185,
0.31631842255592346,
-0.3198467493057251,
-0.39665693044662476,
-0.6196939945220947,
-0.22547930479049683,
-0.7927173972129822,
0.144806191325187... |
In this task, you will be presented with an English sentence, and you have to translate it into Arabic.
Draft report
مشروع تقرير
Where's Jil-poong?
أين الكلب
The sixth victim only survived because of an anatomic anomaly.
| الضحية السادسة نجا بسبب شذوذ تشريحي
| 0 | NIv2 | task651_opus100_en_ar_translation | fs_opt | [
0.18243539333343506,
0.29517197608947754,
0.3005388677120209,
-0.3943410813808441,
-0.08764779567718506,
0.12067090719938278,
0.7610692381858826,
-0.10162442922592163,
0.051567964255809784,
-0.28442656993865967,
-0.1416717767715454,
0.4963724613189697,
-0.7739673256874084,
0.23952141404151... |
Detailed Instructions: 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.
Problem:I was shocked to see that the bulk versi... | 3 | 8 | NIv2 | task588_amazonfood_rating_classification | zs_opt | [
0.17418912053108215,
0.23199139535427094,
-0.27178797125816345,
-0.35745400190353394,
0.05253778025507927,
-0.361408531665802,
0.44115933775901794,
0.7497819066047668,
-0.5120177268981934,
-0.22855639457702637,
-0.15680965781211853,
-0.2613808214664459,
-0.7603189945220947,
0.1677760481834... |
You will be given a definition of a task first, then some input of the task.
Given news headlines, an edited word and funniness labels. The original sentence has word with the given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Your task is to generate answer "Yes" if ... | No | 1 | NIv2 | task496_semeval_answer_generation | zs_opt | [
-0.5368354320526123,
0.39319145679473877,
0.1458519995212555,
0.20290037989616394,
-0.21905973553657532,
-0.0399416908621788,
-0.10874722898006439,
0.5272612571716309,
0.3965556025505066,
-0.06669747829437256,
-0.5669900178909302,
-0.14001411199569702,
-0.6944823265075684,
-0.3089538812637... |
In this task, you are given a text of article and corresponding title of an article. Your task is to generate label "yes" if headline (title) is right for article, otherwise generate "no".
Let me give you an example: Article: australia 's current account deficit shrunk by a record #.## billion dollars -lrb- #.## billi... | no | 8 | NIv2 | task289_gigaword_summarization | fs_opt | [
-0.24535846710205078,
0.12176072597503662,
-0.00558794429525733,
0.2228071689605713,
-0.38166481256484985,
-0.45436298847198486,
0.26734888553619385,
0.448045551776886,
-0.2863451838493347,
0.06453321874141693,
-0.3445742130279541,
0.1579054892063141,
-0.7853877544403076,
0.298578977584838... |
A text is given in English. Translate it from the English language to the Urdu language. The translation must not omit or add information to the original sentence.
Let me give you an example: نئی دلّی ،23 مئیحکومت ہند کی جانب سے موجودہ انکم ٹیکس ایکٹ ، 1961 پر نظر ثانی اور ملک کی اقتصادی ضروریات کے عین مطابق نئی براہ ... | (ii) To improve post-harvest management through establishment of innovative primary processing units, treatment and seasoning plants, primary treatment and seasoning plants, preservation technologies and market infrastructure. | 8 | NIv2 | task1058_pib_translation_urdu_english | fs_opt | [
0.42309367656707764,
0.05476896092295647,
-0.2414194941520691,
0.6983529329299927,
0.5126240849494934,
-1.2568347454071045,
0.011989924125373363,
1.1761319637298584,
-0.29382574558258057,
0.9019131660461426,
-0.4693982005119324,
-0.16825798153877258,
-0.2198048233985901,
0.7270442247390747... |
Given a passage with a context and an answer, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating... | Does shaoYao decoction ameliorate colitis-associated colorectal cancer by downregulating proinflammatory cytokines and promoting epithelial-mesenchymal transition?
| 1 | NIv2 | task845_pubmedqa_question_generation | fs_opt | [
0.38477352261543274,
-0.1806870698928833,
-0.3698832392692566,
-0.487521231174469,
0.7381926774978638,
0.007863916456699371,
0.43887901306152344,
0.6884123086929321,
0.048971012234687805,
0.05531538650393486,
-0.36589550971984863,
-0.1791122555732727,
-0.3117811679840088,
0.299589812755584... |
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.
Example: The first two were found unreliable and the prosecution case rested mainly on the evidence of the remaining five approvers .
Example solution: पहले दो को... | Solution: जबकि सबसे पहली मिल को कोई विशेष सफलता नहीं मिली , दूसरी मिल ने 13 वर्षों में ही अपनी पूंजी को दुगुनी कर लिया और बाद की दो मिलों ने केवल पैसा ही कमाया । | 5 | NIv2 | task425_hindienglish_corpora_en_hi_translation | fs_opt | [
0.37928467988967896,
0.4520132541656494,
0.6864273548126221,
0.2353643774986267,
0.2826107144355774,
-0.673755407333374,
-0.22556734085083008,
0.7942579984664917,
-0.3004811704158783,
-0.11909553408622742,
-1.019824743270874,
-0.30547067523002625,
-0.38478171825408936,
0.0648544654250145,
... |
A text is given in Gujarati. Translate it from the Gujarati language to the Tamil language. The translation must not omit or add information to the original sentence.
રસાયણ અને ખાતર મંત્રાલય | குறு சிறு மற்றும் நடுத்தர தொழில் துறை அமைச்சகம் | 0 | NIv2 | task1063_pib_translation_gujarati_tamil | zs_opt | [
-0.2983301281929016,
0.7342578172683716,
0.38235998153686523,
0.051316037774086,
-0.12410645931959152,
-0.6109585165977478,
0.42221784591674805,
-0.5319529175758362,
-0.6557742357254028,
-0.2746152877807617,
-0.2630916237831116,
-0.5475872755050659,
-0.6591135859489441,
0.5567153692245483,... |
Combine the given two facts to write a concluding fact. Note that there should be some parts of the first and second facts that are not mentioned in this conclusion fact. Your combined fact should be the result of a chain between the two facts. Chains form when two facts connect together to produce a concluding fact. A... | Flowers come from roots emerging from a seed's coat. | 0 | NIv2 | task038_qasc_combined_fact | zs_opt | [
0.432115763425827,
1.0843689441680908,
-0.47805559635162354,
0.3140541911125183,
-0.19473977386951447,
-1.1393547058105469,
-0.3674406409263611,
1.311285138130188,
-0.4337316155433655,
0.2909318506717682,
-1.0500619411468506,
0.48094817996025085,
-0.7901602983474731,
-0.01839067041873932,
... |
Detailed Instructions: 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... | [154, 210, 85, 10, -177, -58, -167, 48] | 8 | NIv2 | task122_conala_list_index_addition | zs_opt | [
0.07922066003084183,
-0.22030936181545258,
-0.7362809181213379,
-0.5223885178565979,
0.008271971717476845,
0.24371865391731262,
0.6312907934188843,
0.4819909930229187,
-0.5320658683776855,
0.08851945400238037,
-0.4065542221069336,
-0.2923535108566284,
-0.0916178822517395,
-0.29928833246231... |
In this task, you are given a short passage that conveys a stereotype. A stereotype is an over-generalized belief about a particular group of people. You are expected to classify the passage into nine types of stereotype: race-color, socioeconomic, gender, disability, nationality, sexual-orientation, physical-appearanc... | nationality
| 7 | NIv2 | task317_crows-pairs_classification_stereotype_type | fs_opt | [
0.0034582458902150393,
-0.30625849962234497,
0.016545388847589493,
0.32421791553497314,
-0.19941020011901855,
0.030050618574023247,
0.3021910786628723,
0.7917624711990356,
0.15666528046131134,
0.20443668961524963,
-0.9408137798309326,
-0.23614799976348877,
-0.012195458635687828,
-0.2111857... |
Q: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pron... | The women are outdoors. | 7 | NIv2 | task188_snli_neutral_to_entailment_text_modification | zs_opt | [
-0.6144084930419922,
0.7609438896179199,
-0.2516862750053406,
-0.799345850944519,
0.40536805987358093,
-0.7522861361503601,
-0.13349735736846924,
0.5329489707946777,
0.2616150677204132,
-0.25450924038887024,
-0.6808866262435913,
-0.44781044125556946,
-0.47407102584838867,
-0.13576374948024... |
instruction:
Given a real-life anecdote of a complex ethical situation, judge whether or not a specific person is wrong here. Answer 'not answerable' if more information is required and 'answerable' if all the information is sufficient to answer who is wrong in this situation.
question:
Before you say something, hear m... | answerable
| 9 | NIv2 | task503_scruples_anecdotes_isanswerable | fs_opt | [
0.7595534920692444,
0.060885556042194366,
-0.1522277593612671,
-0.48466217517852783,
0.48241204023361206,
-0.6398550868034363,
1.1668007373809814,
0.9462010860443115,
0.2188459038734436,
0.07918952405452728,
-0.28023016452789307,
0.2623079717159271,
-0.7287294268608093,
-0.4260743856430053... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Farsi.
Q: Mas o que acontece com este gato?
A: ولی این یکی گربه چطور ؟
****
Q: Não há qualquer adulto envolvido nisto.
A: در مقیاس بزرگ تر انجام بدیم ؟
****
Q: E se a combinássemos com isto?
A: | اگر ما این را با این ترکیب کنم چه میشود ؟ اگر ما این را با این ترکیب کنم چه میشود ؟
****
| 4 | NIv2 | task1282_ted_translation_pt_fa | fs_opt | [
-0.45652443170547485,
0.9382022023200989,
-0.04151241481304169,
-0.25106266140937805,
-0.7343816161155701,
0.3159688115119934,
0.11480468511581421,
0.7005796432495117,
0.7987866401672363,
-0.5269239544868469,
-0.9322772026062012,
0.8659557104110718,
-0.8173855543136597,
0.1593853235244751,... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence which is either in the Hindi language or English language. You task is to identify the language of input sentence. Input sentence can be in Hindi or English language only and also it cannot have two langu... | Hindi | 1 | NIv2 | task427_hindienglish_corpora_hi-en_language_identification | zs_opt | [
-0.06008881330490112,
0.27822422981262207,
0.5233153700828552,
0.18484815955162048,
0.13536983728408813,
-0.5865066051483154,
0.32310590147972107,
0.29764384031295776,
-0.06989740580320358,
-0.4207792282104492,
-0.20809876918792725,
0.06710977107286453,
-0.0014217039570212364,
0.1375042945... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Farsi.
Q: E, para encerrar, quando vocês tiverem um momento de paz ou tranquilidade nesses dias bastante atribulados ou talvez mais tarde, reflitam sobre aquela pessoa que pensaram a respeito que tem uma doença mental ou pesso... | و در پایان ، زمانی که یک لحظه از صلح و آرامش در این روزهای شلوغ یا پس از آن به دست آوردید ، به فرد یا افرادی بیندیشید که در نظر شما بیماری روانی دارد یا دارند و به خود جرئت دهید که از آنها مراقبت کنید. متشکرم. (تشویق) (تشویق) | 4 | NIv2 | task1282_ted_translation_pt_fa | zs_opt | [
-0.631074070930481,
0.6083900332450867,
0.1198732852935791,
-0.5963431596755981,
-0.7569754123687744,
-1.58949875831604,
0.3744927644729614,
0.5686178207397461,
0.6894664764404297,
-0.12813980877399445,
-0.18110984563827515,
0.9653239846229553,
-0.14778366684913635,
0.20580139756202698,
... |
Detailed Instructions: In this task you are given a sentence. You must judge whether there exist two consecutive words within the sentence with flipped orders, that is, whether the sentence will make sense and be correct if the order of two consecutive words changes. Label the instances as "Inversion" or "Original" bas... | Inversion | 4 | NIv2 | task428_senteval_inversion | fs_opt | [
-0.4764575958251953,
0.3018231689929962,
0.4310873746871948,
-0.02839023247361183,
-0.10338667035102844,
-0.4185406565666199,
0.7886048555374146,
0.4143431782722473,
0.18898364901542664,
-0.3585832118988037,
-0.8925424218177795,
-0.6500977277755737,
-0.7167857885360718,
-0.3070152699947357... |
Given a document, generate a short title of the document. The title should convey the main idea/event/topic about which the document is being written. Note that URLs in the text have been replaced with [Link].
[Q]: In what has been dubbed the biggest loan fraud in India’s history the No. 2 state-run lender PNB (PNBK.... | Amazon should be worried about Walmart former JC Penney CEO says
| 5 | NIv2 | task418_persent_title_generation | fs_opt | [
0.5538364052772522,
0.491705983877182,
-0.41360336542129517,
0.2556709349155426,
0.1651628613471985,
0.6546541452407837,
0.4581977128982544,
0.7744601964950562,
-0.4427427053451538,
0.27621567249298096,
-0.38123619556427,
0.4032309651374817,
-1.1152148246765137,
0.3950701951980591,
-0.45... |
Teacher:You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Farsi.
Teacher: Now, understand the problem? Solve this instance: אז אנחנו מדברים על סופה של עבודת הפרך האנושית.
Student: | پس درباره به پایان رسیدن جان کندن بشر صحبت می کنیم. | 6 | NIv2 | task1113_ted_translation_he_fa | zs_opt | [
-0.8244255781173706,
0.4927976131439209,
0.059715814888477325,
-0.6337900757789612,
-0.6424592733383179,
0.6863378286361694,
0.8607757091522217,
-0.07681973278522491,
0.6183891296386719,
-0.31927168369293213,
-0.6043887138366699,
0.08410239219665527,
0.3260856568813324,
0.20078328251838684... |
Given the task definition and input, reply with output. In this task, you will be shown an English sentence. You need to classify the sentence as either a representation of an anaphor number agreement or as an incorrect representation. An anaphor is an expression whose interpretation depends upon another expression. An... | bad | 5 | NIv2 | task1560_blimp_binary_classification | zs_opt | [
-0.4292362928390503,
0.5134968757629395,
0.3980206251144409,
-0.21613949537277222,
-0.7863572835922241,
-0.5540090799331665,
0.7475523948669434,
-0.015317166224122047,
0.3270384669303894,
-0.42943793535232544,
-0.8295316696166992,
-0.14141391217708588,
-0.8066950440406799,
0.45084649324417... |
Definition: In this task you will be given a text passage from a trivia quiz. You should choose the category this question belongs to from these categories: History, Science, Social Science, Fine Arts, Literature. You can only choose one category, so if in doubt, please choose the closest match.
Input: In one of this a... | Fine Arts | 2 | NIv2 | task521_trivia_question_classification | zs_opt | [
-1.1488556861877441,
0.5524002313613892,
-0.19913911819458008,
0.5260181427001953,
-0.054281122982501984,
-0.3340321183204651,
0.12810105085372925,
0.6708047389984131,
0.21452616155147552,
-0.00598914735019207,
-0.5543965101242065,
0.4192836284637451,
-0.10376162827014923,
0.32291132211685... |
Detailed Instructions: A text is given in English. Translate it from the English language to the Hindi language. The translation must not omit or add information to the original sentence.
Q: वी.वी. गिरी राष्ट्रीय संस्थान श्रमिक वर्ग सामाजिक सुरक्षा की चुनौतियों पर नया प्रकाशन जारी करेगा।
A: | I) will be releasing a new Publication on the challenges of Social security to the working class. | 9 | NIv2 | task1024_pib_translation_hindi_english | zs_opt | [
-0.4604513943195343,
0.277019202709198,
0.6206107139587402,
0.34855544567108154,
0.14130929112434387,
-0.5231175422668457,
0.6799315810203552,
0.048668213188648224,
0.004202009178698063,
-0.2024076282978058,
-0.5624188184738159,
-0.02984415553510189,
-0.6673154234886169,
0.4667175710201263... |
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 context tweet, a question and corresponding answer of given question. Your task is to classify given passage into two categories: (1) "yes" if the given context is usefu... | no | 0 | NIv2 | task242_tweetqa_classification | fs_opt | [
-0.5233606696128845,
0.4281901717185974,
0.3450247049331665,
0.43796998262405396,
0.12346325069665909,
-0.16919058561325073,
0.22480079531669617,
0.1955324411392212,
-0.029694557189941406,
-0.0442429780960083,
-0.21329937875270844,
-0.08777077496051788,
0.10617731511592865,
-0.032070215791... |
Definition: 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.
Input: It said workers in Britain will design, engineer and build the new model and the £192m project will safeguard 6,000 jobs directly a... | Sunderland Nissan plant to build new version of Qashqai | 2 | NIv2 | task1356_xlsum_title_generation | zs_opt | [
-0.2952638864517212,
0.07485910505056381,
0.22919020056724548,
-0.20092275738716125,
0.08541499823331833,
-0.6727975606918335,
-0.014660758897662163,
0.9283256530761719,
0.06340126693248749,
0.7764638066291809,
-0.09342798590660095,
0.7896731495857239,
-0.12149303406476974,
0.3430143892765... |
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
| 3 | NIv2 | task214_rocstories_incorrect_ending_classification | fs_opt | [
0.24692070484161377,
-0.43773186206817627,
-0.23093268275260925,
0.02629214897751808,
0.2623612880706787,
-0.08808135986328125,
0.32131844758987427,
1.1288840770721436,
-0.2319929003715515,
0.1687236726284027,
-0.2938098907470703,
-0.10594438016414642,
0.20474369823932648,
-0.0053887772373... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence and a question in the input. The information provided in the sentence should be enough to answer the question. You're expected to write the correct answer. Do not use any facts other than those provided in the sentence... | Dillon gets into bread. | 1 | NIv2 | task051_multirc_correct_answer_single_sentence | zs_opt | [
0.17432622611522675,
0.9153624773025513,
-0.20433633029460907,
0.07956066727638245,
-0.07798340916633606,
-0.3537280857563019,
0.13213706016540527,
0.24390184879302979,
-0.12346037477254868,
-0.34775811433792114,
-0.4155559837818146,
-0.07603368908166885,
-0.23224392533302307,
-0.409627556... |
Definition: You are given two sentences(Sentence1 and Sentence2). Answer "Yes" if these sentences are a paraphrase of one another, otherwise answer "No".
Input: Sentence1: " Apple is working with Oxford Semiconductor and affected drive manufacturers to resolve this issue , which resides in the Oxford 922 chipset , " th... | Yes | 2 | NIv2 | task1288_glue_mrpc_paraphrasing | zs_opt | [
-0.5580645203590393,
0.3016278147697449,
-0.5247216820716858,
-0.2923315465450287,
-0.40697401762008667,
-1.109490156173706,
-0.04818212613463402,
0.5930962562561035,
0.5383456945419312,
0.17900791764259338,
-0.25932595133781433,
-0.2443021982908249,
0.3943515419960022,
0.00455225957557559... |
Given a sentence in English language, translate the sentence to Tagalog language keeping the meaning of the original sentence intact.
Input: Consider Input: English sentence: Re: my pic
Output: Re: Nakakapagtaka
Input: Consider Input: English sentence: "Only Speak a Word" (Matthew 8:5-10)
Output: "Sabihin Mo Laman... | Output: Hindi natin madadamang nakumbinsi tayo ayon sa nararapat na ang ating kaligtasan ay dumadaloy mula sa walang bayad na awa ng Diyos bilang bukal nito, malibang maipakilala sa atin sa pamamagitan ng Kanyang walang hanggang paghirang, ang biyaya ng Diyos na inilalarawan sa pagsasalungatan – alalaong baga’y hindi n... | 2 | NIv2 | task448_opus_paracrawl_en_tl_translation | fs_opt | [
-0.3068857789039612,
0.5047869682312012,
0.2504110336303711,
0.33547770977020264,
-0.22149595618247986,
-1.825825572013855,
0.12829282879829407,
-0.025017857551574707,
0.12458449602127075,
0.17537714540958405,
-0.4402041435241699,
-0.34058117866516113,
-0.6433610320091248,
-0.4377191066741... |
Teacher:Write an incorrect answer to the given question based on the associated fact. You are also provided with the correct answer to the given question. Make sure that your incorrect answer is relevant and similar to the associated fact. Also, try to make the incorrect answer similar to the correct answer so that dis... | cell movement. | 6 | NIv2 | task042_qasc_incorrect_option_generation | zs_opt | [
1.2988141775131226,
0.2508757710456848,
-0.5283293724060059,
0.4266596734523773,
0.09103070944547653,
-1.5068320035934448,
-0.4850355386734009,
1.0649709701538086,
0.14981654286384583,
-0.2974625825881958,
-0.2670179009437561,
0.2969591021537781,
0.028001494705677032,
0.33784806728363037,
... |
In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.
--------
Question: passage: In the United States, although the legality of headlight flashing varies from state to state, a federal court ruled that flashing headli... | Yes
| 7 | NIv2 | task380_boolq_yes_no_question | fs_opt | [
0.48526597023010254,
0.4293854236602783,
0.2804640233516693,
-0.12625759840011597,
-0.20826232433319092,
-0.0341876819729805,
0.006364776752889156,
0.6992388963699341,
-0.6224216818809509,
-0.10284845530986786,
0.2954566478729248,
0.1511489599943161,
-0.5290265083312988,
0.2484515011310577... |
Q: Given a phrase describing the relationship between two words, extract the words and the lexical relationship between them. The relation has to be of the type 'MemberOf', 'MadeOf', 'Synonym', 'Entails', 'HasA', 'HasProperty', 'PartOf', 'Antonym' or 'IsA'. The output should have the format: word1 relation word2.
newsp... | newspaper HasProperty fun | 7 | NIv2 | task1510_evalution_relation_extraction | zs_opt | [
-0.12069214880466461,
1.0825082063674927,
0.3061429560184479,
-0.6211196184158325,
-0.29497623443603516,
-0.1565942019224167,
0.6672790050506592,
0.05583006143569946,
0.5357731580734253,
-0.6535038948059082,
-0.7766793370246887,
0.3199330270290375,
-1.004594326019287,
0.25589072704315186,
... |
In this task, you will be given a list. The list is several integers and letters separated with a comma, written within a []. You can create new lists by dropping one of the items in the input list. Your task is to write a list containing all the possible lists you can make by dropping one item from the input list. Fo... | [['8', '8', 'w'], ['8', '8', 'o'], ['8', 'w', 'o'], ['8', 'w', 'o']]
| 5 | NIv2 | task208_combinations_of_list | fs_opt | [
-0.15714846551418304,
0.7026309967041016,
-0.36948931217193604,
-0.0948372408747673,
0.21693497896194458,
-0.33504459261894226,
0.5963999032974243,
0.49225151538848877,
-0.010111730545759201,
-0.2314000278711319,
-0.6807315945625305,
0.0673762708902359,
0.08982191979885101,
0.0396328344941... |
Detailed Instructions: In this task, you will be given a passage, a question and a list of single-word events identified from the passage. The goal is to point out all events from the given event list that can answer the question. If a question is unanswerable or none of the events answer the question, output should be... | talks | 9 | NIv2 | task390_torque_text_span_selection | zs_opt | [
0.8669047355651855,
0.35521799325942993,
-0.13945463299751282,
-0.034884266555309296,
-0.5318646430969238,
-0.42126739025115967,
0.8410224914550781,
0.601219117641449,
-0.31178876757621765,
1.1419155597686768,
-0.5076769590377808,
0.4201207160949707,
-0.38507506251335144,
0.162763997912406... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions of the participants in the sentence and those affected by it. Is any of these emotions caused by the sentence? You should write your answer in the form " A >Causes> B". Try to use phrases and sentences fro... | Thomas won't stop smoking >Causes> Thomas' family feel(s) worried | 6 | NIv2 | task749_glucose_reverse_cause_emotion_detection | fs_opt | [
0.47303831577301025,
0.358184814453125,
0.25021082162857056,
-0.4826127290725708,
0.03501371294260025,
-1.3559479713439941,
0.21578986942768097,
0.49253565073013306,
-0.45978856086730957,
0.3206952214241028,
-0.42388835549354553,
0.6000562310218811,
-0.014053890481591225,
-0.26812356710433... |
instruction:
In this task, you're given reviews from Amazon's products. Your task is to generate the Summary of the review.
question:
I don’t want to return this as it would be too expensive. I want you to stop selling them.
answer:
It doesn’t stick to the tile. It keeps falling off.
question:
Does not fit correctly ... | Cheap! Handle tore away when I tried to move the container
| 9 | NIv2 | task618_amazonreview_summary_text_generation | fs_opt | [
-0.056474629789590836,
0.37093639373779297,
-0.42483481764793396,
0.06827142834663391,
0.11963397264480591,
-0.21252524852752686,
0.319221168756485,
0.45067906379699707,
-0.3805977404117584,
0.626191258430481,
0.1335371732711792,
0.4441373348236084,
-0.8088659048080444,
0.09966358542442322... |
Given a pair of words, deduce the type of relationship between them. The various types of relations are: 'HYPER', 'COORD' and 'RANDOM'. Let's denote the first word by X and the second word by Y. A COORD relationship holds when X and Y belong to the same semantic class. A HYPER relationship applies when X is a specific ... | RANDOM | 0 | NIv2 | task1505_root09_semantic_relation_classification | zs_opt | [
0.02823420614004135,
0.30821844935417175,
0.13423562049865723,
0.025802966207265854,
-0.44312554597854614,
-0.009408117271959782,
0.23114925622940063,
0.7201242446899414,
0.2792184054851532,
-0.518343985080719,
-1.16136634349823,
-0.4411543905735016,
-0.14124299585819244,
0.025728520005941... |
In this task, you will be given a food review and a question about the reviewer's sentiment toward one aspect of the food in Persian. You have to infer the answer to the question from the review and classify it. Classify the reviewer's sentiment into: "no sentiment expressed", "negative", "neutral", "positive", and "mi... | no sentiment expressed
| 3 | NIv2 | task524_parsinlu_food_aspect_classification | fs_opt | [
-0.9158122539520264,
-0.04243670403957367,
0.061257943511009216,
-0.0993543341755867,
0.2200620025396347,
0.5757445693016052,
1.1548256874084473,
0.6530537605285645,
0.4078490138053894,
-0.11622890830039978,
0.1587797999382019,
-0.13935616612434387,
-0.3067493736743927,
0.26097041368484497... |
In this task, you are given a sentence in either Spanish or English. Your task is to determine the language of the input sentence. Input sentences can only be in Spanish or English, and they cannot be in two languages at the same time.
--------
Question: Señor Presidente, quisiera felicitar a mi colega, el Sr. Belder... | Spanish
| 7 | NIv2 | task533_europarl_es-en_language_identification | fs_opt | [
0.24363018572330475,
0.745087206363678,
0.7514186501502991,
0.08767706155776978,
0.15597081184387207,
-0.33001869916915894,
0.007353257387876511,
0.9204786419868469,
0.5311689972877502,
-0.21559110283851624,
-0.18442824482917786,
0.2988271713256836,
-0.20217683911323547,
-0.699909627437591... |
In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Try to find the best answer that is most likely to fill in "_". Note that the URLs in the text have been replaced with [Link].
Q: Lagos, Nigeria (CNN) The father of one ... | Camilla Lawrence
****
| 4 | NIv2 | task339_record_answer_generation | fs_opt | [
0.6087193489074707,
0.058594875037670135,
-0.5954676270484924,
-0.15713995695114136,
0.7626004815101624,
0.07521362602710724,
0.8167203664779663,
1.0965945720672607,
-0.24570226669311523,
0.03542204201221466,
-0.4708254933357239,
0.7801065444946289,
-0.8006741404533386,
0.3046778440475464,... |
Q: You are given a sentence and a question. You're expected to write the correct answer based on the sentence.
Sentence: Kevin holds the NCAA record for the disc throw. Larry holds the middle school record for the disc throw as well. Question: Who's record is longer?
A: | Kevin | 7 | NIv2 | task1382_quarel_write_correct_answer | zs_opt | [
-0.24757930636405945,
0.0039057391695678234,
-0.4163348972797394,
-0.7871953248977661,
-0.4185304045677185,
0.138333261013031,
-0.509120762348175,
0.7739355564117432,
0.5587906837463379,
-0.5186458230018616,
0.23455123603343964,
0.5256524085998535,
-0.9427105784416199,
1.1853264570236206,
... |
In this task, you will be presented with a passage, and you need to write an **implausible** answer to to fill in the place of "_". Your answer should be incorrect, but should not be out of context. Try using words that are related to the context of the passage, but are not the correct answer. Even though there exist ... | Israel | 0 | NIv2 | task303_record_incorrect_answer_generation | zs_opt | [
-0.05979809910058975,
0.7172821164131165,
0.42304831743240356,
0.22706565260887146,
0.15069261193275452,
-0.016563832759857178,
0.33741188049316406,
0.9224748611450195,
0.638201892375946,
0.45152267813682556,
-0.16691532731056213,
0.5729332566261292,
-0.7075690627098083,
0.1251628249883651... |
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 be found ... | deciding on a time with guests | 8 | NIv2 | task164_mcscript_question_answering_text | fs_opt | [
0.9672035574913025,
0.7624670267105103,
-0.2779761552810669,
0.4975919723510742,
-0.2590538263320923,
0.023489397019147873,
1.047385811805725,
1.0345135927200317,
-0.4553496539592743,
-0.35902664065361023,
-0.13552230596542358,
-0.13724201917648315,
-0.49405723810195923,
0.0737143084406852... |
In this task, you will be presented with a question in Dutch language, and you have to write the named entities from the question if present. B denotes the first item of a phrase and an I any non-initial word. Here is the list of terms used: person names (PER), organizations (ORG), locations (LOC) and miscellaneous nam... | Output: Audi: B-ORG
| 2 | NIv2 | task1544_conll2002_named_entity_recognition_answer_generation | fs_opt | [
-0.24859148263931274,
0.5452916026115417,
0.3228604197502136,
-0.0697733536362648,
-0.36845386028289795,
-0.13906414806842804,
1.1617789268493652,
0.3342444598674774,
0.557239294052124,
-0.19564026594161987,
-0.6758538484573364,
0.4928005635738373,
0.002731814980506897,
-0.0526274666190147... |
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
Q: The media and crooked politicians whipped this up. We have to get rid of the lot of them with the ballot.
A: ... | Not Hope Speech
****
| 4 | NIv2 | task679_hope_edi_english_text_classification | fs_opt | [
0.25207898020744324,
0.26765722036361694,
0.4294096827507019,
-0.01481112651526928,
-0.44473952054977417,
-0.9884279370307922,
0.46215492486953735,
1.082273006439209,
0.19920115172863007,
-0.014375822618603706,
-0.21855100989341736,
0.20040419697761536,
-0.05754770338535309,
-0.48999214172... |
Detailed Instructions: Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the buildin... | I_TURN_RIGHT I_WALK I_TURN_RIGHT I_WALK I_TURN_RIGHT I_TURN_RIGHT | 4 | NIv2 | task126_scan_structured_text_generation_command_action_all | fs_opt | [
0.1273481845855713,
0.5550053715705872,
-0.4045165777206421,
-0.12743575870990753,
0.12387718260288239,
0.16444632411003113,
0.49156469106674194,
0.015592011623084545,
-0.33201226592063904,
-0.3809915781021118,
-0.7480154037475586,
-0.24816133081912994,
-0.851534366607666,
-0.0272988490760... |
Given the task definition, example input & output, solve the new input case.
You will be given a text in Russian language which contain different emotion labels from the list - ['joy', ' sadness', 'surprise', 'fear', 'anger']. You need to output the incorrect emotion label, which is irrelevant to the input text. Your a... | sadness | 1 | NIv2 | task1663_cedr_ru_incorrect_classification | fs_opt | [
-0.7262781858444214,
0.16708046197891235,
0.3653671443462372,
-0.42852354049682617,
-0.2804824709892273,
-0.0878717452287674,
0.4563322365283966,
0.5600931644439697,
-0.19473354518413544,
-0.5004855394363403,
-0.6490598320960999,
-0.11723725497722626,
-0.07163628935813904,
0.18400558829307... |
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
| 3 | NIv2 | task1211_atomic_classification_hassubevent | fs_opt | [
0.1579030305147171,
0.09942984580993652,
0.3127099871635437,
0.07673609256744385,
-0.34128645062446594,
-0.6166235208511353,
0.9501636028289795,
0.8922938108444214,
-0.5330170392990112,
-0.31777116656303406,
-0.6254925727844238,
-0.4148660898208618,
-0.5227890610694885,
-0.1743972450494766... |
In this task you will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10.
Q: [226, -705, 910, 828, -486, 418, 641, 58, -417, 492, 640, 177, 186, -180, 95]
A: [230, -700, 910, 830, -490, 420, 640, 60, -420, 490, 640... | [-760, 780, -740]
****
| 4 | NIv2 | task373_synthetic_round_tens_place | fs_opt | [
-0.7640008330345154,
0.8543461561203003,
-0.11532299965620041,
-0.34843629598617554,
-0.6201592683792114,
-0.34344568848609924,
0.45339709520339966,
-0.25696954131126404,
-0.5713997483253479,
-0.04596583545207977,
-0.8250711560249329,
0.4097508192062378,
-0.7983723282814026,
0.250744819641... |
Part 1. Definition
You will be given two pieces of text with the same meaning. One of them is simpler and easier to understand for non-native English speakers. Complex texts may contain more difficult words, have unnecessary phrases or contain long sentences. Your task is to choose the simpler piece of text. You are ex... | Text one | 7 | NIv2 | task112_asset_simple_sentence_identification | fs_opt | [
0.27406710386276245,
0.6049397587776184,
0.26256054639816284,
-0.23593351244926453,
0.4724303185939789,
-1.0854313373565674,
0.2657705545425415,
0.6617972254753113,
-0.10067595541477203,
0.5105700492858887,
-0.05941157042980194,
-0.23927687108516693,
-0.5145074725151062,
-0.375605285167694... |
Detailed Instructions: In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that does not connect with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausib... | b | 8 | NIv2 | task214_rocstories_incorrect_ending_classification | zs_opt | [
0.15226730704307556,
0.3240531384944916,
0.17073911428451538,
-0.0338631235063076,
0.10227557271718979,
-0.28426074981689453,
0.6670485734939575,
1.1698729991912842,
0.37133368849754333,
0.3635423183441162,
-0.4994310736656189,
0.08811230957508087,
0.08002327382564545,
-0.2876627743244171,... |
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: Consider Input: Terrible! Artificial lemon taste, like Pledge Lemon Furniture Polish. Don't do this to y... | Output: Great!
| 2 | NIv2 | task589_amazonfood_summary_text_generation | fs_opt | [
0.15576454997062683,
0.061542071402072906,
-0.4719249904155731,
-0.43900036811828613,
0.2178940325975418,
-0.407900333404541,
0.3519737720489502,
0.8820527791976929,
-0.4683258533477783,
0.4571644067764282,
0.3696753978729248,
-0.4860948920249939,
-0.47526252269744873,
-0.5659998655319214,... |
Instructions: 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 intentionally offensive, 2) no, otherwise. Also, generate label 'no' for offensive statements that appear to be unintentional, or non-offensive statements t... | Yes | 3 | NIv2 | task607_sbic_intentional_offense_binary_classification | zs_opt | [
-1.014252781867981,
-0.0011534621007740498,
0.8527923226356506,
0.5968833565711975,
0.27359262108802795,
-0.08679094910621643,
-0.00551353907212615,
0.1440170407295227,
0.246921569108963,
0.2308889627456665,
0.26662877202033997,
-0.33218276500701904,
-0.4390159845352173,
-0.725898623466491... |
Detailed Instructions: You need to create a question containing a blank (_), based on the given context word. Your question must contain two persons --PersonX and PersonY. The expected answer to your question must be PersonX. PersonX and PersonY should not be equally likely to fill the blank. There should be an agreed ... | PersonX is good at assembling a soccer team _ because/although he is more socially connected than PersonY. | 9 | NIv2 | task032_winogrande_question_generation_person | zs_opt | [
0.6725218296051025,
0.6665257215499878,
-0.1923723816871643,
0.4285755157470703,
0.0830124020576477,
-0.5039182901382446,
0.4763089418411255,
0.18142950534820557,
0.006445272359997034,
-0.8181904554367065,
-0.2193095088005066,
-0.052163511514663696,
-0.19935591518878937,
0.0358295589685440... |
Teacher:This task is about translating a given French language sentence to English.
Teacher: Now, understand the problem? Solve this instance: Et vous pourriez dire : " Qu'est-ce que ça donne si l'on rajoute un mètre au balcon ? "
Student: | And you would might say, what about more 3 feet on that balcony? | 6 | NIv2 | task1690_qed_amara_translation | zs_opt | [
-0.03725213557481766,
1.1256017684936523,
-0.12324979901313782,
-0.48567694425582886,
0.3520027995109558,
-0.5071292519569397,
0.3897494077682495,
0.7745343446731567,
0.5662715435028076,
-0.4311431646347046,
-0.12290872633457184,
0.6503140926361084,
-1.0753886699676514,
-0.0353150181472301... |
In this task you will be given a string that only contains single digit numbers spelled out. The input string will not contain spaces between the different numbers. Your task is to return the number that the string spells out. The string will spell out each digit of the number for example '1726' will be 'oneseventwosix... | 515558306709
| 0 | NIv2 | task1443_string_to_number | fs_opt | [
-0.8623810410499573,
0.9657160043716431,
-0.6634458303451538,
-0.7811248302459717,
-0.4270479381084442,
0.024286581203341484,
0.6394940614700317,
0.0742567777633667,
-0.12165308743715286,
-0.3576187789440155,
-1.1316618919372559,
0.00965800415724516,
-1.1651833057403564,
-0.142831921577453... |
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the ev... | Yes | 9 | NIv2 | task1205_atomic_classification_isafter | zs_opt | [
0.40029579401016235,
0.5966875553131104,
0.5339159965515137,
-0.19996324181556702,
-0.6680504679679871,
-1.026167631149292,
0.8917659521102905,
0.5881307125091553,
-0.5769914388656616,
-0.5356179475784302,
-0.18815433979034424,
-0.5670105814933777,
-0.7516461610794067,
0.16173192858695984,... |
instruction:
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".
question:
Swedish: De som måste hantera dessa risker måste därför uppfylla hög... | Yes
| 9 | NIv2 | task314_europarl_sv-en_classification | fs_opt | [
0.286626935005188,
0.017371874302625656,
-0.13035047054290771,
-0.22249284386634827,
0.45963266491889954,
-0.4319536089897156,
0.2832769751548767,
0.8244396448135376,
0.17890258133411407,
0.14404886960983276,
0.4166017770767212,
0.882230281829834,
-0.3272651731967926,
0.8116973042488098,
... |
Detailed Instructions: Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's belief does not match reality, and the third is wh... | blue_bathtub | 8 | NIv2 | task152_tomqa_find_location_easy_noise | zs_opt | [
-0.241904616355896,
0.2420891970396042,
-0.09113451838493347,
-0.2062983214855194,
-0.3315427899360657,
-0.28783637285232544,
0.34036552906036377,
0.48727887868881226,
0.39240562915802,
-0.14171503484249115,
-0.43095383048057556,
0.3928447961807251,
-0.39100635051727295,
0.0706554353237152... |
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 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 sexu... | non-geopolitical | 0 | NIv2 | task1493_bengali_geopolitical_hate_speech_binary_classification | fs_opt | [
-0.8529425859451294,
0.047495096921920776,
0.3556370735168457,
-0.11435237526893616,
-0.7894923686981201,
-0.09706290066242218,
0.7357800602912903,
0.3267408311367035,
0.24552400410175323,
-0.03977256640791893,
-0.4979640245437622,
-0.5009084939956665,
0.01412283070385456,
0.00107414252124... |
Detailed Instructions: In this task, you are given a sentence in the english language. Here, your job is to convert english sentence into the bulgarian language.
Q: The Western Balkans, as a region, is a key and valuable partner for the EU.
A: | Западните Балкани като регион са ключов и ценен партньор за Европейския съюз. | 9 | NIv2 | task272_europarl_translation | zs_opt | [
0.47806960344314575,
1.2202908992767334,
0.2112407088279724,
-0.06353405863046646,
0.4708902835845947,
-0.7393987774848938,
1.3551812171936035,
-0.21648886799812317,
0.6665617227554321,
-0.2800517678260803,
0.2064957320690155,
1.0310343503952026,
-0.26309943199157715,
-0.5308115482330322,
... |
In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to arrange the sentences in order to make a story that makes complete sense and is apt for the title. Indicate your answer using the number of the sentences in order, such as '34152'.
Ex Input:
Title: wallet... | 25413
| 1 | NIv2 | task217_rocstories_ordering_answer_generation | fs_opt | [
0.3527756929397583,
-0.11314953863620758,
-0.6219066381454468,
-0.0041403211653232574,
-0.00970291718840599,
0.007249052636325359,
0.09365049004554749,
0.8881927132606506,
-0.16374251246452332,
-0.25169506669044495,
-0.676885724067688,
-0.21091720461845398,
-0.6170037388801575,
-0.22475488... |
In this task you will be given some text dialogue and you need to infer the underlying emotion of the text. The possible emotions are happy, sad, angry, or other.
[Q]: don't waste my time ya you speak in riddles don't irritate me
[A]: angry
[Q]: you are not my friend okay oh what happened i am upset with you
[A]: sa... | angry
| 5 | NIv2 | task517_emo_classify_emotion_of_dialogue | fs_opt | [
-0.41601651906967163,
0.7612577676773071,
0.7740355730056763,
-1.1673446893692017,
-0.4766424000263214,
-0.9417283535003662,
0.7084029316902161,
-0.33583611249923706,
0.5968766808509827,
-0.35699620842933655,
0.43003585934638977,
-0.07059639692306519,
-0.5148658752441406,
-0.21570417284965... |
In this task, you need to count the number of words in a sentence that start with the given letter. Answer with numbers and not words.
Sentence: 'a room filled with a stove and surrounded by cabinets'. How many words start with the letter 'w' in the sentence.
1
Sentence: 'a woman is standing in the kitchen using her ... | 5
| 0 | NIv2 | task162_count_words_starting_with_letter | fs_opt | [
0.25743937492370605,
1.0602376461029053,
-0.6624711751937866,
-0.3852892518043518,
-0.03154382109642029,
-0.10797695815563202,
0.22022666037082672,
0.40104687213897705,
0.6057655811309814,
-0.4772360622882843,
0.15441808104515076,
-0.155129536986351,
-0.2062540352344513,
-0.217432230710983... |
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 text from a post. Your task is to find all of the proper nouns and label them. The labels are <B-PER>, <I-PER> for persons; <B-ORG>, <I-ORG> for organizations; <B-LOC>, ... | " I do n't want to go into more details than that but there are more details and they are bitter . | 0 | NIv2 | task610_conllpp_ner | fs_opt | [
0.3680914044380188,
-0.2884417474269867,
0.14146268367767334,
0.6528955698013306,
0.33602049946784973,
-0.18824951350688934,
0.0403624065220356,
0.8384122848510742,
-0.6813105344772339,
0.34148508310317993,
-0.2527281641960144,
0.1953820139169693,
-0.190107524394989,
0.7125422954559326,
... |
Given the task definition and input, reply with output. In this task, you are given books product reviews in French language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Une arnaque ! . Une arnaque ! Une ... | NEG | 5 | NIv2 | task482_cls_french_books_classification | zs_opt | [
-0.45419996976852417,
0.7038568258285522,
0.18875834345817566,
-0.3707224726676941,
0.3105399012565613,
0.6086256504058838,
0.8718787431716919,
0.02113823965191841,
0.4996754825115204,
0.004865731578320265,
-0.72728431224823,
-0.8159792423248291,
-0.4766193926334381,
-0.3748645782470703,
... |
Instructions: In this task, you're given a context passage, an answer, and a question. Your task is to classify whether the question for this answer is correct or not, based on the given context with commonsense reasoning about social situations. If its correct ,return "True" else "False".
Input: Context: Skylar goes t... | True | 3 | NIv2 | task384_socialiqa_question_classification | zs_opt | [
-0.4553869962692261,
0.47060197591781616,
-0.45537567138671875,
-0.05715275928378105,
-0.5946186184883118,
-0.23272645473480225,
0.3288201093673706,
0.4086187183856964,
0.7065330743789673,
-0.14099611341953278,
-0.34031349420547485,
0.16397413611412048,
-0.5364260077476501,
-0.436040908098... |
In this task, you're given reviews from Amazon's products. Your task is to generate the Summary of the review.
Input: Consider Input: I just received this phone case last week and it already has a tear on one of the corners. However, I do really like the overall look of the case and the color (yellow) is just how its ... | Output: Not comfortable. Notice ridges in front of seat -- they ...
| 2 | NIv2 | task618_amazonreview_summary_text_generation | fs_opt | [
0.2710350751876831,
0.6695598363876343,
-0.5634275674819946,
-0.4699956774711609,
0.19297002255916595,
0.08516420423984528,
0.41867753863334656,
0.938896656036377,
0.12267491966485977,
0.5936383008956909,
-0.03085249476134777,
0.7188275456428528,
-0.26998621225357056,
-0.2672988176345825,
... |
Translate from English to Hindi.
[EX Q]: How's that?
[EX A]: कैसी रही?
[EX Q]: You look like a baby.
[EX A]: तुम बच्चे की तरह लग रही हो.
[EX Q]: I'll go on show ... at tivolis.
[EX A]: | मैं इसे शो पर ले जाऊंगा... ऐट्टिवोलिस.
| 6 | NIv2 | task1329_open_subtitles_en_hi_translation | fs_opt | [
0.11606243997812271,
0.032771654427051544,
-0.6609151363372803,
0.21521778404712677,
-0.39339375495910645,
-0.4611484706401825,
0.32674989104270935,
0.7809548377990723,
0.714647114276886,
0.35722145438194275,
0.4339280426502228,
0.5327870845794678,
-0.05729009211063385,
0.4711178243160248,... |
Teacher:In this task, you're given a fill-in-the-blank question that contains two object names. Additionally, you're given one answer which is one of the objects present in the question. In this task, you need to minimally change the given question so that the answer flips to another object in the question. Remember th... | She decided to throw away the couch and not the chair because the _ had no scratches. | 6 | NIv2 | task034_winogrande_question_modification_object | zs_opt | [
0.5201406478881836,
0.11247605830430984,
0.09670116007328033,
-0.3472248613834381,
0.6390007138252258,
-0.7707725763320923,
0.8399155139923096,
1.1677742004394531,
-0.827986478805542,
-0.3548359274864197,
-0.20965075492858887,
0.2338683009147644,
-0.48825323581695557,
0.08314599096775055,
... |
instruction:
You are given a news article headline from BBC Yoruba and your task is to classify it into one of the following categories: Africa, Entertainment, Health, Nigeria, Politics, Sport, or World.
question:
Africa Free Trade Zone: Kò sí ìdènà láti kó ọjà láti orílẹ̀èdè kan sí òmíràn
answer:
Africa
question:
L... | Nigeria
| 9 | NIv2 | task612_yorubabbc_classification | fs_opt | [
0.007882842794060707,
-0.16969811916351318,
-0.2516880929470062,
0.5269700884819031,
0.1037648618221283,
-0.19861936569213867,
0.26379624009132385,
0.3317604660987854,
0.11123259365558624,
0.18407674133777618,
-0.5191020965576172,
-0.3058745861053467,
-0.9257991313934326,
0.046132929623126... |
In this task, positions of two consecutive words have been swapped. You need to output the position of the swaped words. e.g. in the sentence 'Seattle has nice a weather', the word 'a' and 'nice' have been swapped. These words are at 3rd and 4th position respectively. So, the output should be (3, 4). Note that the inde... | (2, 3) | 0 | NIv2 | task089_swap_words_verification | zs_opt | [
-0.36304160952568054,
0.8773846626281738,
-0.019767941907048225,
-0.5043355226516724,
0.1857587695121765,
-0.4124561548233032,
0.45857536792755127,
0.3603665828704834,
-0.10727746039628983,
-0.14818792045116425,
-0.23045006394386292,
-0.5341660976409912,
-0.13848575949668884,
0.35188251733... |
Detailed Instructions: Evaluate the similarity between them and classify them into classes from 0-5 as follows:
0 : The two sentences are completely dissimilar.
1 : The two sentences are not equivalent, but are on the same topic.
2 : The two sentences are not equivalent, but share some details.
3 : The two sentences ar... | 0 | 8 | NIv2 | task1347_glue_sts-b_similarity_classification | zs_opt | [
-0.78094482421875,
0.18011415004730225,
-0.04417320340871811,
0.5877535343170166,
0.5250542163848877,
-1.1388535499572754,
0.35535359382629395,
1.1514052152633667,
-0.06326976418495178,
0.27486640214920044,
-0.48994946479797363,
-0.8432927131652832,
-0.3065605163574219,
-0.0288655348122119... |
Detailed Instructions: You will be given two questions. You should decide whether the second question is a good paraphrase of the first one. If you are able to tell that the two questions are the same without any other information, answer "Yes", otherwise answer "No".
See one example below:
Problem: original question: ... | No | 4 | NIv2 | task404_grailqa_paraphrase_validation | fs_opt | [
-0.164698988199234,
0.3882332444190979,
0.3130165934562683,
0.4878949522972107,
-0.10521445423364639,
-0.5575404167175293,
0.6803590059280396,
0.810084342956543,
0.6992080211639404,
0.48379215598106384,
-0.17805638909339905,
-0.043156348168849945,
-0.2821211814880371,
0.28547564148902893,
... |
Definition: 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 se... | embarrassed | 2 | NIv2 | task293_storycommonsense_emotion_text_generation | zs_opt | [
0.09005531668663025,
0.13709259033203125,
-0.07139003276824951,
-0.37465810775756836,
0.2556682229042053,
-0.21048259735107422,
0.7518945932388306,
0.6103185415267944,
0.10377034544944763,
-0.07138153910636902,
-0.1006673276424408,
-0.3081595301628113,
-0.30381083488464355,
0.4092997908592... |
Teacher: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
Teacher: Now, understand the problem? Solve this instance: WHAT ABOUT THOUSAND LIVES KILLED IN THE MIDDLE ... | Not Hope Speech | 6 | NIv2 | task679_hope_edi_english_text_classification | zs_opt | [
-0.035452306270599365,
-0.1778164803981781,
0.2909395098686218,
-0.24056923389434814,
-0.6134980320930481,
-0.9477116465568542,
0.11496192216873169,
0.5200866460800171,
-0.08487796038389206,
0.515855073928833,
-0.2176375538110733,
0.06014416739344597,
-0.6749013066291809,
-0.16072517633438... |
You are given a set of queries separated by '
', and your job is to find out the query which is not a well-formed or well-structured query in terms of grammar, punctuations, or spelling errors.
Let me give you an example: How many miles is 43560 ?
What is the national currency of Albania ?
What is the status of the dr... | Age of natasha bedingfeild ? | 8 | NIv2 | task674_google_wellformed_query_sentence_generation | fs_opt | [
0.38726428151130676,
0.3244751989841461,
-0.27314096689224243,
-0.44664889574050903,
-0.482441782951355,
0.0769399031996727,
0.876090943813324,
-0.7130049467086792,
-0.46733224391937256,
-0.42405351996421814,
-0.673782229423523,
-0.26153814792633057,
-0.4248729944229126,
-0.518404722213745... |
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.
--------
Question: Mathilda Pinkham C... | Not paraphrase
| 7 | NIv2 | task400_paws_paraphrase_classification | fs_opt | [
0.002164591336622834,
0.6806581020355225,
-0.21799145638942719,
-0.5937399864196777,
-0.24921660125255585,
-0.06254693865776062,
0.9375492334365845,
0.34042370319366455,
0.6305468082427979,
0.11780770123004913,
-0.6804174184799194,
0.8607220649719238,
-1.0086274147033691,
0.125306695699691... |
Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish.
Input: כמותרפיה, אחת מהדרכים הכי יעילות שמשתמשים בהן לטיפול בסרטן כיום, מערבת מינונים ממש גבוהים של כימיקלים כדי לנסות להרוג תאים סרטניים.
Output: | La quimioterapia, una de las maneras más eficaces para tratar el cáncer hoy en día, consiste en suministrar altas dosis de químicos a los pacientes para tratar de matar las células cancerígenas. | 3 | NIv2 | task1236_ted_translation_he_es | zs_opt | [
-0.2215016484260559,
1.0221431255340576,
0.10931256413459778,
-0.10556995868682861,
-0.1722937524318695,
-0.3079374432563782,
0.7823512554168701,
0.7161678075790405,
0.7204805612564087,
-0.3443605303764343,
0.1578788161277771,
-0.05759493261575699,
0.25306016206741333,
0.35962384939193726,... |
Definition: A text is given in Hindi. Translate it from the Hindi language to the Tamil language. The translation must not omit or add information to the original sentence.
Input: साथियों, ये भी एक संकल्प है जो एक भारत-श्रेष्ठ भारत को सिद्ध करता है।
Output: | நண்பர்களே, “ஒரே இந்தியா! மகத்தான இந்தியா” என்ற இலக்கை எட்டுவதற்கு உதவி செய்யும் உறுதிமொழியாகவும் இந்த விழா விளங்கும். | 2 | NIv2 | task993_pib_translation_hindi_tamil | zs_opt | [
-0.2831987738609314,
0.2851194739341736,
0.18180802464485168,
0.255398690700531,
0.0554887130856514,
-0.8369536399841309,
0.5002103447914124,
0.6188288331031799,
-0.3598383069038391,
0.05967722088098526,
-0.5161183476448059,
-0.22801661491394043,
-0.4242023825645447,
0.3503841757774353,
... |
TASK DEFINITION: You are given a sentence in Galician. Your job is to translate the Galician sentence into Farsi.
PROBLEM: Chegou a 28 Bar. O amoníaco era tóxico. Se asperxía por todas partes.
SOLUTION: می توان یک یخچال کم فشار و غیر سمی ساخت.
PROBLEM: E fixemos exactamente iso, empregando dúas estratexias.
SOLUTION... | و شبانه روز در حد توانمان تلاش می کردیم ، در تلاش برای کمک به آدمها ، تلاش برای جلب توجه & البته یک کار ساده دیگر را نیز خوب انجام دادیم.
| 8 | NIv2 | task1245_ted_translation_gl_fa | fs_opt | [
0.14686845242977142,
0.878832221031189,
0.35167041420936584,
-0.6639546751976013,
-0.2659609913825989,
-1.0739004611968994,
0.8811062574386597,
0.5305376648902893,
-0.14474345743656158,
-0.36581987142562866,
-0.75850510597229,
0.5931935906410217,
-0.9610283374786377,
0.08991159498691559,
... |
Detailed Instructions: You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to label each of the continuous conversations done by one speaker with the emotion detected in that particular part. Your labels can be one among the following:... | No emotion,happiness,No emotion,happiness,No emotion,No emotion | 9 | NIv2 | task1532_daily_dialog_emotion_classification | zs_opt | [
-0.4923829138278961,
0.7145141363143921,
0.11757922172546387,
-0.659599781036377,
0.12300567328929901,
-0.30656808614730835,
0.7414109110832214,
-0.5884281992912292,
0.583669900894165,
-0.393912672996521,
-0.27367955446243286,
-0.4946432113647461,
-0.5296097993850708,
0.7362960577011108,
... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.