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 |
|---|---|---|---|---|---|---|
instruction:
Given a sentence in the Japanese, provide an equivalent translation in Lao that retains the same meaning through the translation. In translation, keep numbers as it is.
question:
特に、合衆国のアップルストアとAT&Tストアおよびカナダにおいて、iPhoneを利用可能にするシステムが、ネットワークの故障および初日の販売に見合うだけのキャパシティに満たずに困難を期した。
answer:
ລະບົບ ທີ່ສາມາດເຮັດໃຫ້ໄອໂ... | Lt. Vernon ໄດ້ເວົ້າວ່າ "ພວກເຮົາໂຊກດີ ທີ່ຫຼາຍຄົນບໍ່ໄດ້ຮັບບາດເຈັບຈາກການຍິງກັນນີ້."
| 9 | NIv2 | task1124_alt_ja_lo_translation | fs_opt | [
-0.10803531110286713,
0.1276698261499405,
-0.3347417712211609,
-0.31673991680145264,
-0.4285493493080139,
-0.6378625631332397,
0.9575212001800537,
0.6896945238113403,
-0.39462241530418396,
-0.4757419228553772,
-0.6904004216194153,
0.9811723232269287,
-0.38397499918937683,
0.403564840555191... |
Teacher:In this task you are given a tweet. You must judge whether the author of the tweet is happy or not. Label the instances as "Happy" or "Not happy" based on your judgment.
Teacher: Now, understand the problem? Solve this instance: @niceoneWern @Alotta_Pain the gleesome threesome
Student: | Not happy | 6 | NIv2 | task398_semeval_2018_task1_tweet_joy_detection | zs_opt | [
-1.0104823112487793,
1.1763465404510498,
0.6126744747161865,
-0.18997541069984436,
0.20171552896499634,
0.19696170091629028,
0.056857749819755554,
-0.22381579875946045,
-0.06857771426439285,
0.8130018711090088,
-0.3282344341278076,
-0.10653102397918701,
-0.3494732975959778,
-1.000333547592... |
The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent dialogue context containing past 3 utterances (wherever available), output Ye... | No
| 7 | NIv2 | task356_casino_classification_negotiation_self_need | fs_opt | [
0.5171597003936768,
0.2611294984817505,
-0.3728834390640259,
0.046059925109148026,
-0.2907959818840027,
-1.6748573780059814,
0.7589245438575745,
0.990581750869751,
-0.9918708205223083,
0.30647149682044983,
0.6510535478591919,
-0.41145268082618713,
-1.0744693279266357,
-0.19076064229011536,... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that contradict each other. Your job is to alter sentence 2 so that the pair agree with each other. Generated sentences must be short, with less than 15 words. New info... | A man is in the ocean and his hair is wet | 1 | NIv2 | task186_snli_contradiction_to_entailment_text_modification | fs_opt | [
-0.19337746500968933,
0.5202143788337708,
0.23831027746200562,
-0.18022942543029785,
0.632861316204071,
-0.2375471293926239,
-0.398470938205719,
0.7244300246238708,
0.3207989037036896,
0.04136303439736366,
-0.5601354837417603,
-0.37207669019699097,
-0.139169842004776,
-0.43864527344703674,... |
Detailed Instructions: In medical studies, the efficacy of medical treatments (called interventions) is evaluated within a group of study participants. You will be given a sentence of a study report in which your task is to list the phrases that describe the intervention(s) of the study. You should list the phrase in t... | not found | 8 | NIv2 | task180_intervention_extraction | zs_opt | [
0.0032998272217810154,
0.2729766070842743,
-0.4988439381122589,
-0.5800917148590088,
0.20853455364704132,
-0.44766509532928467,
0.9336475133895874,
0.5402337312698364,
0.17451655864715576,
0.6479519605636597,
-0.4354790449142456,
-0.07498957961797714,
0.10504868626594543,
0.033964559435844... |
Given the task definition and input, reply with output. Given a math problem with context and a question and 5 answer choices, the task is to provide the correct answer choice based on the problem. You must choose one of the given answer choices by letter: a, b, c, d, or e; anything else is invalid.
Problem: if a spea... | a | 5 | NIv2 | task1678_mathqa_answer_selection | zs_opt | [
0.09709383547306061,
0.3976548910140991,
-0.025568420067429543,
0.038799986243247986,
-0.25940853357315063,
-0.3723105788230896,
0.5570106506347656,
0.6431955099105835,
0.3613051176071167,
-0.20868337154388428,
-0.8876668214797974,
0.29237693548202515,
0.36221933364868164,
-0.3457435667514... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a question, along with a context passage. The passage will not have a direct answer to the question, but can include some information and a clue for the answer. Assuming you can only obtain information about one enti... | b | 1 | NIv2 | task233_iirc_link_exists_classification | zs_opt | [
0.6120686531066895,
0.07574225962162018,
-0.21295951306819916,
0.5730032920837402,
-0.24166372418403625,
-0.12005162239074707,
0.38947418332099915,
1.0209217071533203,
0.8006141185760498,
0.6966317892074585,
0.3455199599266052,
0.500395655632019,
-0.5748500823974609,
-0.033705972135066986,... |
Detailed Instructions: In this task, you are given an input stream, and your task is to produce a grammatically correct version of the input sentence. 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 grammatically correct version of the input ... | ['so', 'they', 'tell', 'us', 'that', 'Alexander', 'has', 'nine', 'marbles,', 'Emily', 'has', 'five', 'marbles.', 'And', 'then', "we're", 'asked,', 'how', 'many', 'more', 'marbles', 'does', 'Alexander', 'have', 'than', 'Emily?', 'So', 'pause', 'the', 'video', 'and', 'try', 'to', 'see', 'if', 'you', 'could', 'figure', 't... | 9 | NIv2 | task1415_youtube_caption_corrections_grammar_correction | zs_opt | [
0.680801272392273,
0.44939279556274414,
0.08301761746406555,
-0.4312041699886322,
0.4859751760959625,
-1.4468687772750854,
0.12798430025577545,
1.1268913745880127,
-0.5565172433853149,
0.30509382486343384,
0.10625927150249481,
-0.4611086845397949,
0.0005054050125181675,
-0.5134375691413879... |
Part 1. Definition
In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given two options and you need to select the one that best connects the first sentence with the rest of the story. Indicate your answer by 'Option 1' if the first option is correc... | Option 1 | 7 | NIv2 | task065_timetravel_consistent_sentence_classification | fs_opt | [
-0.025593852624297142,
-0.04512082785367966,
-0.20159763097763062,
-0.005849181208759546,
0.21151131391525269,
0.2776569426059723,
-0.0017353687435388565,
0.7748609781265259,
0.32584479451179504,
-0.2856123149394989,
-0.271668940782547,
-0.7011450529098511,
0.07107922434806824,
-0.36397501... |
In this task you are given a statement and an explanation giving you further knowledge about an entity in the statement. You must judge whether the statement is true or false based on the explanation. Label an instance as "True" if the explanation confirms the statement or doesn't disprove it. Label an instance as "Fal... | False
| 6 | NIv2 | task403_creak_commonsense_inference | fs_opt | [
-0.4681171774864197,
-0.18872949481010437,
-0.12130257487297058,
-0.02146010473370552,
-0.18693271279335022,
-0.7885251045227051,
0.677600085735321,
0.4420471489429474,
0.35809698700904846,
0.12103582918643951,
-0.2758520245552063,
-0.2708280384540558,
-0.6295410394668579,
-0.0657880902290... |
Teacher:You are given a sentence in Polish. Your job is to translate the Polish sentence into Japanese.
Teacher: Now, understand the problem? Solve this instance: (aplauz) Rodzice byli radykałami (śmiech) którzy stali się cóż, dorosłymi.
Student: | (歓声) わたしの両親は急進主義者が、 (笑い) 成長して大人になった人たちでした。 | 6 | NIv2 | task1257_ted_translation_pl_ja | zs_opt | [
-0.11112271249294281,
1.0320786237716675,
0.168315127491951,
-0.5305293202400208,
-0.9561681747436523,
-0.3735499382019043,
1.3596559762954712,
0.07749949395656586,
0.8775155544281006,
-1.1939221620559692,
0.013246813789010048,
-0.23718459904193878,
-0.7802624702453613,
-0.6608561873435974... |
Teacher: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 write the character's motivation by doing a specific job, which is given in the sen... | None | 6 | NIv2 | task294_storycommonsense_motiv_text_generation | zs_opt | [
-0.5433669686317444,
-0.3171997368335724,
-0.19613240659236908,
-0.7446557283401489,
-0.05956544727087021,
-0.2676209807395935,
0.5311253070831299,
1.0670998096466064,
0.2886822819709778,
-0.6477037668228149,
-0.2015335112810135,
-0.12067259103059769,
-0.4160301089286804,
-0.34335613250732... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Italian.
One example: "" אף אדם אינו אי העומד בפני עצמו.
Solution is here: "" Nessun uomo è un'isola completamente a sé.
Explanation: The Hebrew sentence is correctly translated into Italian, because the meaning is preserved.
Now, so... | La ragione per cui davvero amo questi obiettivi è che sono otto. | 6 | NIv2 | task1111_ted_translation_he_it | fs_opt | [
0.2945481538772583,
0.231220543384552,
-0.21782952547073364,
-0.3590790629386902,
-0.5606831908226013,
-0.7970485091209412,
1.191631555557251,
0.054215557873249054,
0.01597319170832634,
-0.9718422293663025,
-0.6382781863212585,
0.08432331681251526,
-1.4309569597244263,
0.13610735535621643,... |
You will be given a definition of a task first, then some input of the task.
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... | DET | 1 | NIv2 | task1167_penn_treebank_coarse_pos_tagging | zs_opt | [
0.39462125301361084,
-0.01582343876361847,
-0.14441047608852386,
0.08553630113601685,
-0.0431850403547287,
-0.462258517742157,
0.6975152492523193,
0.7187981605529785,
-0.13286873698234558,
-0.13339251279830933,
-0.5645534992218018,
0.056684158742427826,
-0.40841227769851685,
0.159009948372... |
Definition: This task is to translate a news commentary given in Arabic language into Czech language. Translate the input statement into the output language while preserving the numberical values, special characters and context of the commentary done.
Input: بهذا فقط يصبح من الممكن أن يؤخذ المواطنون على محمل الجد باعت... | Právě tak můžeme občany brát vážně – a oni sami sebe – jako dokumentaristy a investigativní zpravodaje naší společné situace. V\xa0době lží z\xa0oficiálních míst by zdravý investigativní elán měl přinášet světlo, ne jen stupňovat dusné horko. | 2 | NIv2 | task1374_newscomm_translation | zs_opt | [
-0.5433865785598755,
-0.29474112391471863,
-0.04847168177366257,
0.1145942285656929,
0.02645587921142578,
0.07325828075408936,
0.9739702939987183,
-0.37855368852615356,
0.7330094575881958,
-0.515153706073761,
-0.5946335792541504,
0.3069724440574646,
-0.4572448432445526,
0.1663084179162979,... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the alphabetical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no alphabetical element is in the list.
Ex Input:
[... | 1, 2, 4, 7, 10, 13, 20, 24
| 1 | NIv2 | task506_position_of_all_alphabetical_elements_in_list | fs_opt | [
-0.060171060264110565,
0.13669024407863617,
-0.010718518868088722,
-0.6888420581817627,
0.28375115990638733,
-0.5344971418380737,
0.653469443321228,
0.4583711624145508,
-0.5655224323272705,
0.20815284550189972,
-0.6063780188560486,
-0.20361177623271942,
-0.1762179136276245,
-0.408187836408... |
Given the task definition and input, reply with output. In this task you will be given two dialogues. You need to determine if both dialogues have the same underlying emotion. The possible emotions are happy, sad, angry, or other. If they do output 'yes', if not output 'no'.
Dialogue 1: 'what did you share clients ha... | no | 5 | NIv2 | task518_emo_different_dialogue_emotions | zs_opt | [
-1.2829900979995728,
0.36493223905563354,
0.2945883572101593,
-0.23065118491649628,
-0.3169993460178375,
0.4265337288379669,
0.528027355670929,
0.04202525317668915,
0.23988977074623108,
-0.3923669457435608,
0.14540977776050568,
-0.4140852689743042,
-0.10165949165821075,
0.24672362208366394... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the alphabetical elements in the given list. Return 0 if no alphabetical element in the list
... | 10 | 1 | NIv2 | task504_count_all_alphabetical_elements_in_list | zs_opt | [
0.10816900432109833,
0.6653106212615967,
-0.024831535294651985,
0.25378936529159546,
0.404676616191864,
-0.5165973901748657,
0.8479887247085571,
-0.21304766833782196,
-0.20945921540260315,
0.3650023341178894,
-0.6481107473373413,
0.045360784977674484,
0.7073303461074829,
-0.318910777568817... |
In this task, you're given a short article. Your job is to classify the article based on its category. Use the following classification labels, 0. World, 1. Sports, 2. Business, 3. Science or Technical. Label the text "0" if it contains information related to world. Label the text "1" if it contains information related... | Output: 0
| 2 | NIv2 | task1541_agnews_classification | fs_opt | [
-0.4815831780433655,
0.6851810216903687,
-0.4034577012062073,
0.34926384687423706,
-0.29463621973991394,
-0.9019279479980469,
-0.999707043170929,
0.41224682331085205,
0.014794716611504555,
-0.16161009669303894,
-0.24280254542827606,
0.582288920879364,
-0.026781123131513596,
-0.008670870214... |
In this task, you are given a sentence in the Bulgarian language. Here, your job is to convert bulgarian sentence into the english language.
Ex Input:
Второ, особено в случаите на трансгранични сливания на фондове все още се наблюдава разлика при облагането на трансграничните и националните сливания.
Ex Output:
Secon... | While Mr Posselt is attacking the Czech Republic, there are thousands of German citizens living and working there happily and there are large numbers of former Sudeten Germans who have retired there.
| 1 | NIv2 | task271_europarl_translation | fs_opt | [
-0.38351932168006897,
-0.17608655989170074,
0.0050565460696816444,
0.20139381289482117,
0.22765475511550903,
0.28300711512565613,
-0.02448190376162529,
0.7661266922950745,
0.2184305489063263,
0.1152457743883133,
-0.26274627447128296,
0.3510277271270752,
-0.2041875571012497,
-0.174353435635... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in English. Your job is to translate the English sentence into Hebrew.
Can you imagine going to your closet, pulling out a mothball, and chewing on it if you're feeling depressed?
Output: | תארו לעצמכם שאתם הולכים לארון, לוקחים כדור נפטלין ולועסים אותו כשאתם בדכאון. | 1 | NIv2 | task1221_ted_translation_en_he | zs_opt | [
-0.17577947676181793,
0.17177657783031464,
0.028436843305826187,
-0.31475216150283813,
0.1323266178369522,
-0.14783519506454468,
0.09040871262550354,
-0.1820794641971588,
0.7144400477409363,
-0.03249991685152054,
-0.453582227230072,
0.12954458594322205,
-0.7833458185195923,
-0.132227912545... |
Q: In this task, you are given a sentence in Persian, and your task is to translate it into English.
چه کسي مسئول خدمه کشتي و محموله ها هست؟
A: | who's responsible for his crew and cargo? | 7 | NIv2 | task659_tep_fa_en_translation | zs_opt | [
-0.3822082281112671,
0.259944349527359,
-0.1311110556125641,
-0.3621665835380554,
-0.03425927460193634,
-0.06686260551214218,
0.35406067967414856,
0.57438063621521,
0.03697078675031662,
-0.2660273313522339,
-0.41448429226875305,
-0.09832179546356201,
-0.165278822183609,
1.1489516496658325,... |
Definition: In this task you will be given a list of integers. You should find the maximum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the largest possible absolute distance.
Input:... | 184 | 2 | NIv2 | task1446_farthest_integers | zs_opt | [
-0.538456916809082,
0.1981181502342224,
-0.13057056069374084,
-0.1530141681432724,
-0.2510928213596344,
-0.2988819479942322,
0.1353287398815155,
-0.08703769743442535,
0.9537652730941772,
-0.20680515468120575,
-0.44041702151298523,
-0.1641497164964676,
-0.7047175168991089,
0.189042702317237... |
Q: You are given a sentence in Galician. Your job is to translate the Galician sentence into English.
De novo, unha dieta baseada en plantas, chea de vexetais de cores.
A: | Once again, a plant-based diet, full of vegetables with lots of color in them. | 7 | NIv2 | task1238_ted_translation_gl_en | zs_opt | [
-0.5429360866546631,
0.6506086587905884,
0.007912827655673027,
-0.7490202188491821,
-0.5749410390853882,
-1.6139134168624878,
0.44965922832489014,
0.38488078117370605,
-0.7650566697120667,
-0.5028355717658997,
0.20297080278396606,
-0.04091069847345352,
-0.7249842882156372,
0.86152154207229... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Spanish.
Input: Consider Input: "" ماتریکس 001 "", در "" دارک مارکت DarkMarket "" یک مدیر بود.
Output: Matrix001, era administrador de DarkMarket.
Input: Consider Input: وقتی اشیاء رو قالب گیری می کنید ، یه اتفاقی میافته که هر بار... | Output: Ahora bien, esta es la perspectiva que aplico a mi trabajo todos los días.
| 2 | NIv2 | task1267_ted_translation_fa_es | fs_opt | [
-0.975596010684967,
0.6830264329910278,
-0.6157410144805908,
0.06161291152238846,
-0.5671356916427612,
0.1859496533870697,
0.41493359208106995,
1.0596182346343994,
0.35734301805496216,
0.36199864745140076,
-0.40910863876342773,
0.09198266267776489,
0.23936563730239868,
0.2418164312839508,
... |
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, find the most appropriate number to replace the blank (indicated with _ ) and express it in words.
A lion has _ legs.
Solution: four
Why? The most logical numeric answer in words is fo... | two | 0 | NIv2 | task672_nummersense | fs_opt | [
0.24532563984394073,
0.5905927419662476,
-0.27055394649505615,
-0.27401891350746155,
-0.24839681386947632,
0.1030576229095459,
0.6460603475570679,
0.2363578975200653,
-0.3515753149986267,
-0.5985934734344482,
-0.08480024337768555,
0.33158397674560547,
-0.5767661333084106,
0.241548478603363... |
Instructions: In this task, you are given an utterance, which is a part of a conversation between a user and an agent. Your job is to detect the speaker. The user usually commands the agent to schedule events, retrieve event information, and check the schedule. While the agent's response is an answer to the user's ques... | agent | 3 | NIv2 | task1599_smcalflow_classification | zs_opt | [
-0.30006512999534607,
0.47696974873542786,
-0.540066123008728,
-0.5820292234420776,
-0.3441573977470398,
0.39828723669052124,
0.3940044343471527,
-0.26708680391311646,
0.7315191030502319,
0.28474682569503784,
-0.045292485505342484,
-0.03990817070007324,
-0.578636884689331,
0.20689879357814... |
Teacher: In this task, you're given context and an answer. Your task is to generate the question for this answer based on the given context with commonsense reasoning about social situations..
Teacher: Now, understand the problem? If you are still confused, see the following example:
Context: Tracy didn't go home that ... | How would Aubrey feel afterwards? | 2 | NIv2 | task581_socialiqa_question_generation | fs_opt | [
0.37334978580474854,
0.5658254027366638,
0.05090224742889404,
-0.02159951627254486,
0.15261128544807434,
-0.6559946537017822,
0.21711324155330658,
-0.0016228649765253067,
0.08145640790462494,
0.25846484303474426,
-0.3469387888908386,
0.2870786190032959,
-0.3923216760158539,
-0.334845423698... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Based on the information present in the given passage, you need to write a correct answer to the given question. A correct answer is one that correctly and completely answers the question. Do not wri... | Willing to immedietaly pay for fence. | 0 | NIv2 | task054_multirc_write_correct_answer | fs_opt | [
0.6172077655792236,
0.10082633048295975,
-0.27077576518058777,
0.07333284616470337,
0.46539306640625,
-0.22651776671409607,
0.4610927999019623,
1.305863380432129,
0.9419686794281006,
0.2296660989522934,
-0.7461518049240112,
1.10758638381958,
-0.37000375986099243,
-0.16652125120162964,
-0... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Hebrew.
Problem:何か見落としてきたのではという疑問が湧いてきます
Solution: | אבל זה גורם לכם לתהות מה עוד פספסנו. | 8 | NIv2 | task1225_ted_translation_ja_he | zs_opt | [
0.14352738857269287,
-0.23273685574531555,
0.10441174358129501,
0.28832513093948364,
0.3376953899860382,
-0.34236451983451843,
0.8502456545829773,
0.5103278160095215,
-0.11049363017082214,
-0.36414480209350586,
-0.4810395836830139,
-0.5443506836891174,
-1.3850414752960205,
0.57934910058975... |
In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by two, if the element is odd you should multiply by three then add one. The output should be a list of integers that is the result of applying that logic to the input list.
Input: Consider Input:... | Output: [29, 82, 124, 358, 20, 466]
| 2 | NIv2 | task206_collatz_conjecture | fs_opt | [
-0.20177853107452393,
0.44839978218078613,
-0.06562195718288422,
-0.7299368977546692,
-0.23972611129283905,
0.10063455998897552,
0.9701288938522339,
0.13683506846427917,
-0.25261324644088745,
0.25603121519088745,
-1.137237548828125,
-0.10754700005054474,
-0.41338175535202026,
-0.4495274722... |
In this task you are given a small conversation between two persons and 4 options on how the conversation should continue. Your job is to choose the most reasonable option. The conversation and the options are separated by a newline character. Each dialogue in the conversation are separated by a comma. F and M indicate... | D
| 3 | NIv2 | task611_mutual_multi_turn_dialogue | fs_opt | [
0.5714345574378967,
-0.15431654453277588,
0.24135813117027283,
-0.6663204431533813,
0.949714183807373,
-0.49860846996307373,
0.8769292831420898,
0.555982232093811,
-0.15493156015872955,
0.1356492042541504,
0.10442312061786652,
-0.05232035368680954,
-0.18100911378860474,
-0.0108427675440907... |
Given a category and a set of five words, find the word from the set that does not belong (i.e. is the least relevant) with the other words in the category. Words are separated by commas.
Q: Category: aesthetic characteristic
Words: medium, well, level, fair, equitable
A: | equitable | 4 | NIv2 | task141_odd-man-out_classification_category | zs_opt | [
-0.1526430994272232,
0.5677357912063599,
0.5723559260368347,
-0.6477110385894775,
-0.16706587374210358,
-0.05355295166373253,
-0.6273095607757568,
0.20369839668273926,
-0.08143933117389679,
-0.28705641627311707,
-0.3955826759338379,
0.6952627301216125,
-0.4367922842502594,
-0.2009431123733... |
instruction:
In this task, you're given a four sentences of story written in natural language. Your job is to complete end part of the story by predicting appropriate last sentence which is coherent with the given sentences.
question:
Sentence1: Danny wanted to learn how to make fried rice. Sentence2: His frien... | The director liked it so much, he agreed to put the play on.
| 9 | NIv2 | task105_story_cloze-rocstories_sentence_generation | fs_opt | [
0.20827296376228333,
0.5904006958007812,
-0.30143776535987854,
-0.8041192889213562,
0.5514934062957764,
-0.9150325059890747,
0.7331517934799194,
0.7238702774047852,
-0.16691531240940094,
0.03179420903325081,
-0.540225088596344,
0.01629354991018772,
0.028519392013549805,
-0.1084027513861656... |
Instructions: Given the prompt and a response, classify the them to "yes" if response is "yes, and" type. Otherwise classify it as "no". "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on tha... | no | 3 | NIv2 | task361_spolin_yesand_prompt_response_classification | zs_opt | [
0.4679589867591858,
0.514786958694458,
0.4263094663619995,
-0.03352510184049606,
0.38733258843421936,
-1.329531192779541,
0.08493499457836151,
0.9103913307189941,
-0.1595405489206314,
-0.17615929245948792,
-0.5083318948745728,
-0.32244807481765747,
-0.4831066131591797,
0.14876237511634827,... |
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 this cor... | ADV | 2 | NIv2 | task583_udeps_eng_coarse_pos_tagging | zs_opt | [
0.74164217710495,
0.03211161866784096,
-0.08133411407470703,
0.12548255920410156,
-0.05750783532857895,
-0.7991002798080444,
0.6220614910125732,
0.7703837752342224,
-0.4220494329929352,
-0.3100116550922394,
-0.5217351913452148,
0.2253827452659607,
-0.47469401359558105,
0.5336971879005432,
... |
Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Spanish.
Input: Todas as pessoas nesta sala, se estiverem vivas, vão ser afectadas pelo que está a acontecer nas cidades com este fenómeno extraordinário.
Output: | Todos los que están en esta sala, si están vivos, van a verse afectados por lo que suceda en las ciudades con este fenómeno extraordinario. | 3 | NIv2 | task1276_ted_translation_pt_es | zs_opt | [
0.23975712060928345,
1.1591644287109375,
-0.06301693618297577,
-0.25764378905296326,
-0.28672194480895996,
-1.0588791370391846,
-0.16730961203575134,
0.9238905906677246,
0.6294434070587158,
-0.10508829355239868,
-0.25452327728271484,
0.7398154735565186,
-0.7983132600784302,
0.1061185598373... |
instruction:
The given sentence contains a typo which could be one of the following four types: (1) swapped letters of a word e.g. 'niec' is a typo of the word 'nice'. (2) missing letter in a word e.g. 'nic' is a typo of the word 'nice'. (3) extra letter in a word e.g. 'nicce' is a typo of the word 'nice'. (4) replaced... | mna
| 9 | NIv2 | task088_identify_typo_verification | fs_opt | [
-0.4007446765899658,
0.6425755023956299,
-0.15867239236831665,
0.613970935344696,
0.03946477174758911,
-1.39862859249115,
0.6431993246078491,
0.10122427344322205,
0.0811939537525177,
0.47534626722335815,
0.15685728192329407,
-0.22248205542564392,
-0.5053932666778564,
-0.2723456621170044,
... |
You will be given a definition of a task first, then some input of the task.
In this task, answer 'Yes' if the frequency of the given word in the two sentences is equal, else answer 'No'.
Sentence1: 'a group of cows facing towards and away from a fence', Sentence2: 'people sitting at tables with computers and papers o... | No | 1 | NIv2 | task159_check_frequency_of_words_in_sentence_pair | zs_opt | [
-0.22329361736774445,
0.31623584032058716,
-0.1350642442703247,
0.5854802131652832,
0.08087426424026489,
-0.4560718834400177,
0.3256494998931885,
1.1218734979629517,
-0.17515267431735992,
0.21476709842681885,
-0.3342345654964447,
-0.2673739194869995,
-0.23281246423721313,
0.300766915082931... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be presented with a question and you have to answer the question based on your knowledge. Your answers should be as short as possible.
What are the colours of the team that the Ghanaian international footballer moved to... | red and white | 1 | NIv2 | task344_hybridqa_answer_generation | zs_opt | [
-0.04692487791180611,
0.5719633102416992,
-0.2794685363769531,
-0.6384602785110474,
-0.1055307537317276,
-0.32218554615974426,
0.5135879516601562,
0.07176420092582703,
-0.05003952234983444,
-0.16571173071861267,
-1.0589519739151,
0.24582019448280334,
-0.9806424379348755,
-0.034936003386974... |
Given a post that is a real-life anecdote of a complex ethical situation and an associated claim about its type, verify if the claim is true or not. The claim asks if the posts are historical or hypothetical. The posts are "HISTORICAL" when the author has already done something and they are "HYPOTHETICAL" when the auth... | no | 9 | NIv2 | task501_scruples_anecdotes_post_type_verification | fs_opt | [
0.6822566986083984,
0.02737176977097988,
-0.03468848019838333,
0.4470638334751129,
0.08203413337469101,
-0.4805237650871277,
0.691419243812561,
1.3603216409683228,
-0.6344294548034668,
-0.27474161982536316,
0.35371679067611694,
0.005706546828150749,
0.005418829154223204,
-0.170786499977111... |
In this task, you are given a set of context paragraphs, some supporting facts and an answer of a question. Your task is to generate question for given answer based on set of context paragraphs, supporting facts and an answer.
Q: Context_1 : Michael "Mick" Connaboy (29 November 1901 – 1948) was a Scottish footballer wh... | Mark Angel played nonleague football for what football club based in Bourne, Lincolnshire, England | 4 | NIv2 | task191_hotpotqa_question_generation | zs_opt | [
1.0369691848754883,
0.32732492685317993,
-1.4402029514312744,
0.0854172483086586,
0.43891891837120056,
-0.6551491022109985,
0.8185606002807617,
0.15850169956684113,
0.040161509066820145,
-0.4536048173904419,
0.0035691147204488516,
0.9434828758239746,
-1.1690146923065186,
0.1390740424394607... |
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 this corpus is -
'.': Period symbol is used f... | VERB | 0 | NIv2 | task1167_penn_treebank_coarse_pos_tagging | zs_opt | [
0.38501259684562683,
0.07641851902008057,
0.0345047265291214,
0.10042349994182587,
-0.1981535106897354,
-0.6774734258651733,
0.5642043948173523,
0.6834168434143066,
-0.44149744510650635,
-0.08934837579727173,
-0.7035947442054749,
0.0724201500415802,
-0.5932337641716003,
0.2464483380317688,... |
In this task, you are given a question. You have to answer the question based on your information.
Input: Consider Input: Where is the lab that is connected to artists by the Human Digital Orchestra located?
Output: Murray Hill, New Jersey
Input: Consider Input: Harald Kloser created the score for the 2004 sci-fi h... | Output: Trade credit
| 2 | NIv2 | task1293_kilt_tasks_hotpotqa_question_answering | fs_opt | [
-0.5641355514526367,
0.534801721572876,
-0.5639293789863586,
-0.030137445777654648,
-0.43449458479881287,
0.7076971530914307,
0.1241292953491211,
-0.06593865156173706,
-0.41103410720825195,
0.649082362651825,
-0.2715044319629669,
-0.29353195428848267,
0.1074591800570488,
-0.578003048896789... |
The input is a sentence. The sentence includes an emotion. The goal of the task is to classify the emotion in the sentence to one of the classes: 'fear', 'joy', 'anger', 'sadness'. The emotion mainly depends on the adverb within the sentence.
Let me give you an example: Alphonse feels anxious.
The answer to this examp... | fear | 8 | NIv2 | task1338_peixian_equity_evaluation_corpus_sentiment_classifier | fs_opt | [
-0.4625585079193115,
0.6517424583435059,
0.8646436929702759,
-0.6152191162109375,
-0.01131872832775116,
-0.2891497015953064,
1.2778241634368896,
0.5835285186767578,
0.1648947298526764,
-0.5058299899101257,
-0.6822925806045532,
-0.32974565029144287,
-0.45121657848358154,
-0.2737486660480499... |
In this task, you are given a text from tweets and a boolean question whether this tweet has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Example: Tweet: @justinchuan Awww! I was thinking about you lot up th... | Solution: no | 5 | NIv2 | task196_sentiment140_answer_generation | fs_opt | [
-1.0326895713806152,
0.03486336022615433,
0.4136369228363037,
0.2579691708087921,
0.3439124822616577,
-1.2629685401916504,
-0.08786016702651978,
0.2909007668495178,
0.13265489041805267,
0.26666682958602905,
-0.4543099105358124,
-0.6516528129577637,
-0.29800164699554443,
-0.3242920637130737... |
Q: 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: (1) when the individual's belief matches reality, (2) when the individual's belief does not match reality, (3) is when an individual has a false belief about another... | green_drawer | 7 | NIv2 | task151_tomqa_find_location_easy_clean | zs_opt | [
0.07829145342111588,
-0.24050113558769226,
-0.34485676884651184,
0.29049497842788696,
-0.23554617166519165,
-0.13315638899803162,
-0.2973094880580902,
1.0806338787078857,
0.3045833110809326,
-0.26791912317276,
0.18714536726474762,
0.11619222164154053,
0.2510775029659271,
0.0687703862786293... |
Given the task definition, example input & output, solve the new input case.
Craft one correct answer to the question given in input. To make it more interesting, try to use non-stereotypical language if possible. Make sure your correct answer is reasonably long, consistent with the context, and requires common sense (... | They lost fifty pounds. | 1 | NIv2 | task024_cosmosqa_answer_generation | fs_opt | [
0.21691152453422546,
0.8489460945129395,
-0.2145642638206482,
0.6328086853027344,
0.39877748489379883,
0.21918143332004547,
0.3610078692436218,
0.8196922540664673,
0.2791498303413391,
-0.3992772400379181,
-0.34795600175857544,
0.16178959608078003,
-0.37914586067199707,
-0.11261875927448273... |
In this task you will be given an arithmetic operation and you have to find its answer. The symbols of operators '+' and '-' has been swapped i.e you need to perform subtraction when you see a '+' symbol and addition in case of '-' symbol.
One example is below.
Q: 5 + 3
A: 2
Rationale: Here, '+' represents subtraction... | 3437 | 9 | NIv2 | task085_unnatural_addsub_arithmetic | fs_opt | [
-0.24394670128822327,
0.21439065039157867,
-0.5809599161148071,
0.22645319998264313,
-0.279984712600708,
-0.18666985630989075,
0.7443608045578003,
1.1513099670410156,
0.520952582359314,
-0.24226179718971252,
-0.5290107727050781,
-0.5028200745582581,
-0.5190755724906921,
0.3072624206542969,... |
Detailed Instructions: In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
Problem:6, 16,... | k, 1201, 1001, 3851, l, 8613, m, 2521, 5513, K, 1879 | 8 | NIv2 | task091_all_elements_from_index_i_to_j | zs_opt | [
-0.16078925132751465,
0.26475831866264343,
-0.3157850503921509,
-1.012222409248352,
-0.6166905760765076,
-0.3020750880241394,
0.6358034610748291,
-0.6393957138061523,
-0.40420350432395935,
-0.263306200504303,
-0.70745849609375,
-0.020159725099802017,
0.0037178872153162956,
-0.1040763705968... |
In this task, you are given a sentence from the Bible in English, and your task is to translate it into Persian.
And the children of Gad and the children of Reuben spake unto Moses, saying, Thy servants will do as my lord commandeth.
واگر ایشان مهیا نشوند و همراه شما عبور ننمایند، پس در میان شما در زمین کنعان ملک بگیر... | و یعقوب، بزها را جداکرد، و روی گلهها را بسوی هر مخطط و سیاه درگله لابان واداشت، و گله های خود را جدا کرد و باگله لابان نگذاشت.
| 0 | NIv2 | task655_bible_en_fa_translation | fs_opt | [
-0.41416847705841064,
0.7298921346664429,
-0.7061541080474854,
-0.9550023674964905,
-0.7927029132843018,
0.0858139842748642,
1.2348906993865967,
0.1101875901222229,
0.5357615351676941,
0.07289271056652069,
-0.8153244256973267,
0.14491237699985504,
-1.120356559753418,
-0.05824480950832367,
... |
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].
Input: Consider Input: "My voice and what I do in my community and what I stand for -- I do n't think that I ... | Output: Flu Season Getting Worse: CDC
| 2 | NIv2 | task418_persent_title_generation | fs_opt | [
0.1854078471660614,
0.42369702458381653,
-0.382581889629364,
0.4110058546066284,
0.3156346380710602,
0.055445633828639984,
0.2633194923400879,
0.4858502745628357,
-0.2949111759662628,
0.2922722101211548,
0.23797482252120972,
1.0398612022399902,
-0.15719175338745117,
-0.17637673020362854,
... |
A question is presented to you in this task, and your job is to write a potentially correct answer.
One example is below.
Q: where did france surrender ww2?
A: Mediterranean Sea
Rationale: This is a good example and the output correctly answers the question.
Q: who plays batman in 2012?
A: | Christian Bale | 9 | NIv2 | task1412_web_questions_question_answering | fs_opt | [
-0.0882493183016777,
0.8026531934738159,
-0.9200829267501831,
-0.5005637407302856,
0.11214672029018402,
0.00036837137304246426,
0.9390884041786194,
-0.681965708732605,
0.8087467551231384,
0.24889257550239563,
0.21210236847400665,
0.5056612491607666,
-0.6400958299636841,
-0.3785436749458313... |
TASK DEFINITION: In this task you are given a short story and a question regarding that story. You must answer the question based on the events of the story. Try to use the same words in the story to answer each question. You should completely answer the question in a short answer. Do not include information that is un... | He got a bad sunburn.
| 8 | NIv2 | task332_tellmewhy_answer_generation | fs_opt | [
0.22660937905311584,
-0.16865116357803345,
-1.1185376644134521,
0.25980043411254883,
-0.6709452867507935,
-0.4098856449127197,
0.9091290831565857,
0.6191431283950806,
-0.1746664047241211,
-0.681776762008667,
-0.5994020700454712,
0.6273225545883179,
-0.5539777278900146,
0.24482916295528412,... |
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: Bölts: B-PER, Dui: B-LOC
| 2 | NIv2 | task1544_conll2002_named_entity_recognition_answer_generation | fs_opt | [
-0.5011129975318909,
0.7351521253585815,
0.17615339159965515,
-0.39707934856414795,
-0.2794862985610962,
0.03500803932547569,
1.12735116481781,
0.044923387467861176,
0.6998113393783569,
-0.5356976985931396,
-0.4703862965106964,
0.20765741169452667,
-0.21135474741458893,
-0.0571229755878448... |
In this task, you are given a hateful post in English from online platforms. You are expected to classify the target being harassed in the post as individual or generic, i.e., single person or a group of people. Note that the URLs in the text have been replaced with [Link].
Q: Post: Everyone hates chelsea - whore skan... | Generic
****
| 4 | NIv2 | task337_hateeval_classification_individual_en | fs_opt | [
-0.5499217510223389,
0.4414374828338623,
-0.03488396108150482,
-0.11125389486551285,
-0.011920949444174767,
-0.8835331797599792,
0.6646166443824768,
0.2831592559814453,
0.38989055156707764,
0.03839939832687378,
-0.2047177255153656,
0.39835232496261597,
-0.2242383062839508,
-0.3143753409385... |
Q: In this task you are given a sentence. You must judge whether subject of the main clause is singular or plural. Label the instances as "Singular" or "Plural" based on your judgment.
Emerging only during a full moon, the wolves stood watch willingly while Undine maidens consummated and gave birth.
A: | Plural | 7 | NIv2 | task430_senteval_subject_count | zs_opt | [
-1.0057733058929443,
1.4213954210281372,
-0.2567636966705322,
0.1948677897453308,
-1.1551480293273926,
0.04119393974542618,
0.5421279668807983,
0.2960125505924225,
-0.2972707152366638,
-0.5223650932312012,
0.4520132541656494,
-0.42156052589416504,
-0.7574689388275146,
0.06469424068927765,
... |
In this task, you will be presented with a question, a word, and a POS tag. You have to determine whether the part-of-speech tag of the given word in the question is equal to the given POS tag or not. Give your answer with True or False. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordi... | False | 6 | NIv2 | task346_hybridqa_classification | fs_opt | [
-0.0030687556136399508,
0.27809399366378784,
-0.31056487560272217,
0.4634462594985962,
-0.3339841961860657,
-0.7465444207191467,
0.96022629737854,
0.7038651704788208,
-0.3734414875507355,
0.03719121962785721,
-0.6500993967056274,
0.4633885324001312,
0.02432630956172943,
-0.2232103645801544... |
Given the task definition and input, reply with output. You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
結果的にそれは社会的評価を脅かすような作業でした他人にマイナス評価される可能性がある自尊心や社会的地位を脅かすものでした
| E concluíron que as tarefas que implican avaliación; ameazas á autoestima ou ao status social nas que outros nos poderían xulgar. | 5 | NIv2 | task1095_ted_translation_ja_gl | zs_opt | [
-0.35347503423690796,
1.0053257942199707,
0.48990577459335327,
-1.0447463989257812,
0.16973379254341125,
-0.6352083683013916,
-0.1487845778465271,
0.6036900877952576,
-0.21245503425598145,
-0.40991371870040894,
-0.41525009274482727,
0.5219289660453796,
-0.6146467924118042,
-0.0992689728736... |
Teacher: You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
Teacher: Now, understand the problem? If you are still confused, see the following example:
Alonzo feels angry.
Solution: male
Reason:... | male | 2 | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | fs_opt | [
-0.7591977119445801,
0.163528710603714,
-0.29136228561401367,
-0.6034746766090393,
-0.28969496488571167,
-0.7230374813079834,
0.5982272624969482,
0.36331406235694885,
0.27688249945640564,
-0.22064080834388733,
-0.4797959327697754,
-0.15390676259994507,
-1.0007679462432861,
-0.3905029892921... |
TASK DEFINITION: Translate from Hindi to English such that it preserves the original meaning Perform complete translation (partially translated sentences are considered incorrect).
PROBLEM: हम एक नया नियम बनाने जा रहे हैं:
SOLUTION: We're going to make a new rule:
PROBLEM: ओह, ग्रेडी.
SOLUTION: Oh, Grady.
PROBLEM:... | And you told her that mama Bengta was dead?
| 8 | NIv2 | task1323_open_subtitles_hi_en_translation | fs_opt | [
-0.2321644425392151,
0.3819839358329773,
0.1737549602985382,
-0.2823377847671509,
-0.24187976121902466,
-1.0599392652511597,
0.23399963974952698,
-0.3621808886528015,
0.08470755815505981,
-0.20466895401477814,
-0.8416442275047302,
0.12954413890838623,
-0.3370499312877655,
0.679392993450164... |
Teacher:In this task, you are given a sentence. You are expected to recognize the name of gene or protein. Although there might be several correct answers, you need to write one of them.
Teacher: Now, understand the problem? Solve this instance: Evidence is presented that if they are to grow , end buds must condition ... | estrogen receptors | 6 | NIv2 | task1480_gene_extraction_jnlpba_dataset | zs_opt | [
-0.13540752232074738,
0.3091961741447449,
0.09713032096624374,
-1.2495598793029785,
-0.5446599721908569,
-0.29342153668403625,
-0.340043842792511,
0.7597593069076538,
-0.17884938418865204,
-0.08589335530996323,
-0.7933844327926636,
-0.3924944996833801,
-0.8263965845108032,
-0.1076246351003... |
You will be given a definition of a task first, then some input of the task.
Read the given sentence and if it is a general advice then indicate via "yes". Otherwise indicate via "no". advice is basically offering suggestions about the best course of action to someone. advice can come in a variety of forms, for example... | yes | 1 | NIv2 | task115_help_advice_classification | zs_opt | [
-0.18514063954353333,
0.7932389974594116,
0.2194502204656601,
0.1329721212387085,
0.23837155103683472,
-1.0730623006820679,
1.0119773149490356,
0.5198047161102295,
0.09322594851255417,
0.19925664365291595,
-0.3646119236946106,
-0.566641092300415,
-0.5543954372406006,
-0.3098409175872803,
... |
In this task, the input is a set of dialogues between a user and an assistant. You need to find the dialogue that is basically a response given to a question or an aspect of the user.
[Q]: What the Economy like?
Western Sahara ( ; ; Spanish and French : Sahara Occidental ) is a disputed territory on the northwest co... | Dorset is one of the few countries in England not to have a motorway. It's connected to London by two main railways.
| 5 | NIv2 | task576_curiosity_dialogs_answer_generation | fs_opt | [
0.6375806331634521,
0.41160306334495544,
0.047753944993019104,
-0.6890783309936523,
-0.13252180814743042,
-0.003331016283482313,
0.7350643873214722,
0.8088046312332153,
0.058155033737421036,
-0.09336110949516296,
-0.2415618598461151,
0.23226390779018402,
-0.37831032276153564,
-0.2242140769... |
Detailed Instructions: In this task, you're given a passage, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
Q: Passage: Uki was born... | Answer: community-owned organisation | 9 | NIv2 | task238_iirc_answer_from_passage_answer_generation | zs_opt | [
0.2868712246417999,
0.23588065803050995,
-1.0620542764663696,
-0.33567583560943604,
0.20213130116462708,
-0.35077032446861267,
0.2276797890663147,
0.19464126229286194,
0.22756998240947723,
0.017116107046604156,
-0.4487657845020294,
0.7278051376342773,
-1.199421763420105,
0.5216027498245239... |
Given the task definition and input, reply with output. You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to classify the conversation either convey 'No emotion' or 'Happiness' by providing '1' and '0', respectively.
Person1: ... | 0 | 5 | NIv2 | task1536_daily_dialog_happiness_classification | zs_opt | [
0.03247419744729996,
0.48695358633995056,
0.23605413734912872,
-0.4080791473388672,
0.11047764122486115,
-0.12315518409013748,
0.8447535634040833,
-0.02760086953639984,
0.09572337567806244,
-0.0838310718536377,
-0.42307838797569275,
-0.3156079649925232,
-0.46821242570877075,
-0.06736807525... |
Teacher: In this task, you are given an abstract of article. Your task is to generate label "True" if abstract is structured, otherwise generate "False". A structured abstract is composed of a topic sentence (or key sentence), relevant supporting sentences, and a closing (or transition) sentence. This structure is key ... | False | 2 | NIv2 | task1589_scifact_classification | fs_opt | [
0.17593666911125183,
0.12108797580003738,
0.3023417294025421,
0.026838768273591995,
0.18194127082824707,
-0.537009060382843,
0.3659309148788452,
0.7889193296432495,
-0.038572169840335846,
0.10921207070350647,
-0.7289903163909912,
-0.033669017255306244,
-1.1737064123153687,
0.25459107756614... |
Detailed Instructions: Classify the input text into either disfluent questions or proper questions. A disfluent question is a question that has some interruptions in it while framing. A proper question is the correct form of the question without any disfluency.
Problem:Building construction instead tell me what infrast... | disfluent | 8 | NIv2 | task1623_disfl_qa_disfluent_question_classification | zs_opt | [
0.0945221409201622,
0.9677700996398926,
0.22058457136154175,
0.13198688626289368,
-0.2224876582622528,
-0.5139042735099792,
0.3797716796398163,
0.42460834980010986,
0.02063889428973198,
0.20161131024360657,
-0.9068594574928284,
-0.8922985196113586,
-0.4011024832725525,
-0.05659453570842743... |
Q: Categorize the comment on the basis of sexual explicitness. If the comment is sexually explicit output Yes, otherwise output No.
the surprising part is that his co-worker ratted him out and that there was an arrest...the part where "drugs are being smuggled into the prison" no surprise there
A: | No | 7 | NIv2 | task1723_civil_comments_sexuallyexplicit_classification | zs_opt | [
-0.5625731945037842,
0.29496052861213684,
-0.06420233845710754,
0.5365047454833984,
-0.4458240568637848,
-0.6030751466751099,
-0.38226747512817383,
0.6425527334213257,
0.7942503094673157,
0.4192180037498474,
-0.14214220643043518,
0.03866936266422272,
-0.7143872976303101,
-0.568147361278533... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
Qui c'è la medusa mortale con le ali ad X.
Solution: Aquí esta la medusa ala-x de la muerte.
Why? The... | Ciertamente, cuando yo estaba en la universidad tenía ciertas expectativas: que mi marido y yo trabajaríamos y que criaríamos a los hijos. | 0 | NIv2 | task1249_ted_translation_it_es | fs_opt | [
-0.35977208614349365,
0.4027661085128784,
-0.7972983717918396,
-0.08701340109109879,
-0.6393522620201111,
0.23268139362335205,
0.5225331783294678,
1.308774471282959,
0.004508585203438997,
-0.31125813722610474,
-0.12374664843082428,
-0.03845702111721039,
-0.20309090614318848,
0.778596222400... |
In this task, you're given a review from Amazon and category of the product based on the review given by the user and your task is classify whether the given category match the review. Generate "True" if given review and its category match, otherwise generate "False".
Ex Input:
Reviews: From the day the toaster arrive... | False
| 1 | NIv2 | task1308_amazonreview_category_classification | fs_opt | [
0.2116919606924057,
0.1622966229915619,
-0.8992851972579956,
0.0145265506580472,
0.13684692978858948,
0.03326534852385521,
0.12009063363075256,
1.0534305572509766,
-0.5374162793159485,
0.3137301206588745,
-0.1831684410572052,
0.4245530962944031,
-0.3405613601207733,
-0.12514835596084595,
... |
In this task you will be given two dialogues. You need to determine if both dialogues have the same underlying emotion. The possible emotions are happy, sad, angry, or other. If they do output 'yes', if not output 'no'.
One example: Dialogue 1: 'when did i called u ugly pony when did you ever call fuck u ur rlly a mad ... | no | 6 | NIv2 | task518_emo_different_dialogue_emotions | fs_opt | [
-0.537006139755249,
0.19460491836071014,
0.5901193618774414,
-0.5460655689239502,
-0.21245981752872467,
1.0722852945327759,
0.9083788394927979,
-0.27603793144226074,
-0.44662240147590637,
-0.6142998933792114,
0.11644910275936127,
-0.451213538646698,
-0.10469978302717209,
0.2695696055889129... |
In this task, you are given two lists A,B. Find the longest common subsequence in the lists A and B.
Example Input: [1533, 'd', 'G', 9307, 'H', 'T', 505, 6437, 1249, 'R', 8573, 's', 6671, 3979, 'z', 'q', 1825, 4533, 'Q', 1053, 'D', 'H', '3855', 'Z', 'A', '3135', '8975', 'C', '7353', '4921', 'G', '7081', 'S', '9035', '... | g, P, r, n, l, w, j, 2133, 1135, M, G, q, 3229, c, 6159, 3331, x
| 3 | NIv2 | task605_find_the_longest_common_subsequence_in_two_lists | fs_opt | [
-0.44436419010162354,
0.24165847897529602,
-0.21073497831821442,
-0.24028021097183228,
-0.4134565591812134,
-0.37862294912338257,
0.743598461151123,
0.6552960276603699,
-0.7002070546150208,
0.31146302819252014,
-0.6412292122840881,
0.2196395993232727,
-0.45312315225601196,
0.16374254226684... |
Definition: In this task, you are given a sentence in the Japanese language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Input: この健康への脅威と戦うために、タバコの規制に関する世界保健機関枠組条約（WHOFCTC)が、ほぼ3年間の交渉の... | To fight this increasing health threat, the World Health Organization Framework Convention on Tobacco Control (WHO FCTC) was unanimously adopted by the 56th World Health Assembly in May 2003 following almost three years of negotiations. | 2 | NIv2 | task436_alt_ja_en_translation | zs_opt | [
0.18888747692108154,
0.21969568729400635,
0.1408892571926117,
-0.7500512599945068,
0.3253328204154968,
-0.1655409336090088,
0.5743736028671265,
-0.005163679830729961,
0.08476906269788742,
-0.002446540631353855,
-0.9665414094924927,
0.26076361536979675,
-0.4694092273712158,
-0.0585360713303... |
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: (1) when the individual's belief matches reality, (2) when the individual's belief does not match reality, (3) is when an individual has a false belief about another in... | red_crate | 3 | NIv2 | task151_tomqa_find_location_easy_clean | fs_opt | [
0.2868403494358063,
0.053975965827703476,
-0.44865429401397705,
-0.07393696904182434,
-0.5681061744689941,
-0.3154257833957672,
-0.05224184691905975,
0.6477830410003662,
0.2201041877269745,
-0.2611047029495239,
0.1661810576915741,
0.4947950839996338,
0.10404026508331299,
0.1895516514778137... |
You're given a fill-in-the-blank question where the answer is PersonX. You need to minimally change the given question so that the answer flips to PersonY. This task typically involves replacing one word i.e., the 'trigger word' with its antonym (e.g., changing from "sympathetic" to "stern"). You should not change any ... | Solution: PersonX was feeling all emotional about PersonY's wedding because _ just got engaged last month. | 5 | NIv2 | task035_winogrande_question_modification_person | fs_opt | [
0.9561173915863037,
0.07275240123271942,
-0.31945669651031494,
-0.007552310824394226,
0.3900180459022522,
-1.0896047353744507,
1.4579954147338867,
0.5932632088661194,
-0.571625292301178,
-0.6638321876525879,
-0.2813960909843445,
0.12325179576873779,
-0.817713737487793,
0.4819464087486267,
... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the numerical elements in the given list. Return 0 if no numerical element in the list.
['v', '1433', 's', 'K', '1859', '6419', '559', '5013', '3843', '5481', 'T', '7575... | 13 | 0 | NIv2 | task505_count_all_numerical_elements_in_list | zs_opt | [
-0.039139274507761,
0.5808907151222229,
-0.3044968843460083,
0.10798859596252441,
0.11342843621969223,
-0.10291070491075516,
0.5813102722167969,
-0.21766969561576843,
-0.32996365427970886,
0.43812644481658936,
-0.5677177906036377,
0.5061861872673035,
-0.11713790893554688,
-0.05697104707360... |
TASK DEFINITION: In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: religious or non-political rel... | non-religious
| 8 | NIv2 | task1492_bengali_religious_hate_speech_binary_classification | fs_opt | [
-0.1774871051311493,
-0.2892287075519562,
-0.04207991808652878,
0.2374984472990036,
-0.1886594593524933,
-0.3263511657714844,
0.4677722454071045,
0.33746853470802307,
0.15503758192062378,
0.20096507668495178,
-0.2667524218559265,
-0.14174675941467285,
-0.4278026223182678,
-0.10478401184082... |
Given the task definition and input, reply with output. In this task, you're given the middle and ending of a three-part story. Your job is to complete the short story by writing a probable beginning of the story. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avo... | Chuck had a big track meet coming up, and wanted to get a medal. | 5 | NIv2 | task072_abductivenli_answer_generation | zs_opt | [
-0.5001389384269714,
0.8930333852767944,
-0.47872525453567505,
-0.38729214668273926,
-0.5931327939033508,
-0.0004353908007033169,
0.32634609937667847,
0.14135301113128662,
0.28495272994041443,
-0.615028977394104,
-1.093782663345337,
0.21988900005817413,
-0.13729643821716309,
-0.09778727591... |
Detailed Instructions: In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
See one example below:
Problem: what is the first event mentioned?, Context: The Russian Revolution is the series of revolutions in Russia in 1917, which destroyed the Tsarist... | 59 | 4 | NIv2 | task1295_adversarial_qa_question_answering | fs_opt | [
0.627045214176178,
-0.17516174912452698,
-0.9585727453231812,
0.26620838046073914,
0.1328645944595337,
0.3707953989505768,
0.06732694804668427,
1.9279578924179077,
0.4369630515575409,
0.05566836893558502,
-0.21120016276836395,
-0.16317462921142578,
-0.44015878438949585,
-0.4965650737285614... |
Given a part of privacy policy text, classify it into one of these categories:
(1) First Party Collection/Use (how and why a service provider collects user information),
(2) Third Party Sharing/Collection (how user information may be shared with or collected by third parties),
(3) User Choice/Control (choices and... | Third Party Sharing/Collection
| 7 | NIv2 | task682_online_privacy_policy_text_classification | fs_opt | [
-0.41310596466064453,
0.053108811378479004,
-0.5702843070030212,
-0.006015940569341183,
-0.023367349058389664,
-0.9431674480438232,
0.2393491119146347,
1.332633137702942,
0.04922264814376831,
0.4272768497467041,
0.1083080843091011,
-0.22612734138965607,
-0.25132083892822266,
-0.75616091489... |
In this task, you're given a review from Amazon and rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good. Your task is to generate whether the rating matches the review or not. Answer with "True" if the sentence belongs to that... | False
| 0 | NIv2 | task1311_amazonreview_rating_classification | fs_opt | [
-0.5373663306236267,
-0.036010488867759705,
-0.022629370912909508,
-0.42463406920433044,
0.4807264804840088,
-0.645252525806427,
0.588161826133728,
0.48063895106315613,
0.042383305728435516,
0.1733970046043396,
-0.6603591442108154,
0.12240374088287354,
-0.7014657258987427,
0.16889055073261... |
Q: 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 ... | None | 7 | NIv2 | task1544_conll2002_named_entity_recognition_answer_generation | zs_opt | [
-0.29505738615989685,
0.3257571756839752,
0.30150365829467773,
0.07087129354476929,
-0.5082538723945618,
0.010928194038569927,
0.5046405792236328,
0.2332843840122223,
0.572593092918396,
-0.37483489513397217,
-0.7916366457939148,
0.3919532299041748,
0.4011823832988739,
-0.22295182943344116,... |
Instructions: In this task, you are given an input list A. If the count of numbers is more than that of alphabets in the list, answer 'Numbers Win'. If the count of alphabets is more than that of numbers in the list, answer 'Alphabets Win'. If the count of numbers is same as that of alphabets in the list, answer 'Numbe... | Alphabets Win | 3 | NIv2 | task523_find_if_numbers_or_alphabets_are_more_in_list | zs_opt | [
-0.3440735936164856,
0.9073394536972046,
-0.8998852372169495,
-0.45147505402565,
-0.38199692964553833,
-0.561897873878479,
0.6892226338386536,
-0.31054678559303284,
0.13067804276943207,
0.6136908531188965,
-1.1846799850463867,
0.3260039985179901,
-0.045290540903806686,
0.27732935547828674,... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: insult and non-insult. Insult is any lanugage or act that is disrespectful or scornfully abusive.
Ex Input:
Comment: Since the NFL has c-----d the bed, I find it very unlikely they will outper... | Non-insult
| 1 | NIv2 | task328_jigsaw_classification_insult | fs_opt | [
-0.7063377499580383,
0.04679238796234131,
0.26613497734069824,
0.401841938495636,
0.06791330873966217,
-0.0985228568315506,
0.33093416690826416,
0.789270281791687,
0.4191220998764038,
0.34658491611480713,
-0.08082422614097595,
-0.11954598873853683,
-0.3529648780822754,
-0.40995490550994873... |
This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) its answer is a continuous text span from the paragraph. Avoid creati... | Do people look forward to Cinderella matches? | 6 | NIv2 | task074_squad1.1_question_generation | fs_opt | [
0.9600625038146973,
0.5104841589927673,
-0.10507425665855408,
0.3204384446144104,
0.29325899481773376,
-0.35402077436447144,
0.6464084982872009,
0.6887168884277344,
0.2580031752586365,
-0.279588520526886,
-0.43856948614120483,
0.11593462526798248,
-1.1251660585403442,
0.0668409913778305,
... |
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 of numbers. A list is shown by two brackets and comma-separated numbers inside, like: [1,2,3]. You should remove all of the even numbers from the list. If every number in the input list is even an empty li... | [153, 79] | 1 | NIv2 | task205_remove_even_elements | zs_opt | [
-0.46919670701026917,
0.5586572885513306,
-0.31583207845687866,
-0.44441330432891846,
0.4420921802520752,
-0.3997197449207306,
0.9072709083557129,
0.060023874044418335,
-0.06051676720380783,
0.4789121150970459,
-0.6732484102249146,
0.18891002237796783,
-0.2550773024559021,
-0.3457556366920... |
Definition: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that contradict each other. Your job is to alter sentence 2 so that the pair agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the su... | Some men are chipping at some tiles with hammers. | 2 | NIv2 | task186_snli_contradiction_to_entailment_text_modification | zs_opt | [
-0.7682905197143555,
0.7141990065574646,
0.18435272574424744,
-0.5179301500320435,
0.14293217658996582,
-0.21668368577957153,
-0.31524133682250977,
0.6630908250808716,
0.5177408456802368,
-0.6585890054702759,
-0.9703679084777832,
-0.40805456042289734,
-0.46364694833755493,
0.24173933267593... |
Teacher:In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that ... | SELECT document_id FROM Paragraphs GROUP BY document_id ORDER BY count(*) ASC LIMIT 1 | 6 | NIv2 | task107_splash_question_to_sql | zs_opt | [
0.5699988603591919,
0.4207667112350464,
-0.6397847533226013,
0.5852760076522827,
-0.41860753297805786,
-0.397286593914032,
0.7762683033943176,
1.1497387886047363,
-0.6624354124069214,
0.45824748277664185,
-0.028732044622302055,
-0.07680711150169373,
0.0031343125738203526,
0.309978067874908... |
Detailed Instructions: In this task, you are given two facts, and a multiple-choice question. Based on the given facts, answer the question with index of the correct option (e.g, "A").
Problem:Fact1: a warm front causes cloudy and rainy weather, Fact2: Stratus clouds are associated with a warm front., Question: Stratus... | C | 8 | NIv2 | task1297_qasc_question_answering | zs_opt | [
0.2223144918680191,
0.5004343390464783,
-0.5591853857040405,
-0.45396941900253296,
-0.8557186722755432,
-1.1003519296646118,
-0.3128493130207062,
0.752668023109436,
0.5843167304992676,
-0.275102436542511,
-0.572429895401001,
-0.4517707824707031,
-0.06434699892997742,
-0.041832055896520615,... |
In this task, you are given two strings A,B. Find the longer of the two lists, convert it to lowercase, and return all the unique alphabets used in it. The two input strings are never equal.
sDjLggUwKwdrtfrnY, TTspUcjLggUwKjCQ | d, f, g, j, k, l, n, r, s, t, u, w, y | 0 | NIv2 | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | zs_opt | [
-0.42778658866882324,
1.9762091636657715,
-0.03345309570431709,
-0.40930095314979553,
-0.11296920478343964,
0.12821459770202637,
1.0174380540847778,
-0.3609446883201599,
0.01601124182343483,
0.03519672527909279,
-0.016390690580010414,
0.21920983493328094,
-0.012638771906495094,
-0.01975633... |
Part 1. Definition
You are given an elementary science question along with a few answer options. List all the words from the question that are essential and sufficient for choosing the correct answer option. Keep in mind that essential words are necessary to understand the meaning of the given question. However, non-es... | electrically, charged, wire, change, direction, compass, points, electricity, moving, wire | 7 | NIv2 | task044_essential_terms_identifying_essential_words | fs_opt | [
0.8157047629356384,
0.4773079752922058,
-0.7275724411010742,
-0.28933969140052795,
-0.2704522907733917,
-1.315987467765808,
1.4375859498977661,
0.4736376106739044,
0.12405907362699509,
-0.2920704483985901,
-0.39812278747558594,
0.5930386185646057,
-0.16954004764556885,
-0.42803341150283813... |
Detailed Instructions: In this task, you're given a four sentences of story written in natural language. Your job is to complete end part of the story by predicting appropriate last sentence which is coherent with the given sentences.
Q: Sentence1: Tuesdays are laundry days at my apartment. Sentence2: We have been too ... | I will do laundry right now. | 9 | NIv2 | task105_story_cloze-rocstories_sentence_generation | zs_opt | [
-0.6520745158195496,
1.467535376548767,
-0.08501715958118439,
-0.7174160480499268,
-0.49376586079597473,
-0.8597115278244019,
0.19434385001659393,
0.126729816198349,
-0.07164736837148666,
0.13698825240135193,
-0.5138150453567505,
0.04213457554578781,
-0.1403728872537613,
0.0086808884516358... |
Instructions: In this task, you are given an article. Your task is to summarize the article in a sentence.
Input: Nigel Rhodes was fined for driving on Coppergate in York which, along with Lendal Bridge, is barred to general traffic at certain times of day.
But a tribunal found neither road was a bus lane, the signage ... | A council which has raised £1.3m from drivers breaking a traffic ban has "no power" to issue penalties, an adjudicator has ruled. | 3 | NIv2 | task1290_xsum_summarization | zs_opt | [
-0.2422095239162445,
0.5022908449172974,
0.3446497321128845,
0.36811500787734985,
0.06399285793304443,
-0.47083187103271484,
-0.03009796142578125,
0.676364541053772,
-0.270671010017395,
0.07550886273384094,
-0.17099031805992126,
0.24675700068473816,
0.19134695827960968,
-0.0060639898292720... |
Given the task definition, example input & output, solve the new input case.
In this task, you need to count the number of times the given letter appears in the given sentence.
Example: Sentence: 'a large group of bananas proped up on several bicycles'. Find frequency of the letter 'e'
Output: 5
The letter 'e' appears ... | 3 | 1 | NIv2 | task113_count_frequency_of_letter | fs_opt | [
-0.4725545644760132,
-0.07257179915904999,
-0.12887558341026306,
0.7372913360595703,
0.33816996216773987,
-0.09676907956600189,
0.2855250835418701,
0.7783204317092896,
-0.6165220737457275,
-0.1874384880065918,
-0.692772388458252,
-0.22366908192634583,
0.5363531112670898,
-0.051095698028802... |
Q: You will be given a text in Russian language which contain different emotion labels from the list - ['joy', ' sadness', 'surprise', 'fear', 'anger']. You need to output the incorrect emotion label, which is irrelevant to the input text. Your answer (i) should contain only one emotion label (ii) should be unambiguous... | surprise | 7 | NIv2 | task1663_cedr_ru_incorrect_classification | zs_opt | [
-0.5981705188751221,
0.20801100134849548,
0.33027100563049316,
-0.3453335464000702,
-0.6998811364173889,
-0.8962492942810059,
0.414422869682312,
0.9531152844429016,
-0.29873067140579224,
0.043238185346126556,
-0.9153610467910767,
-0.3074325621128082,
-0.23538851737976074,
0.280533760786056... |
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_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_RUN I_RUN I_RUN | 8 | NIv2 | task128_scan_structured_text_generation_command_action_short | zs_opt | [
-0.006580612622201443,
0.7783201932907104,
-0.5504384636878967,
0.18376171588897705,
-0.16830894351005554,
-0.023738034069538116,
0.09143346548080444,
0.10409925878047943,
-0.19637484848499298,
-0.19669121503829956,
-0.7244036197662354,
-0.15562930703163147,
-0.5934920907020569,
-0.0824525... |
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.
62 कोटी रुपयांचा प्रकल्प 5 वर्षात पूर्ण होणार
62 കോടി രൂപ ചെലവുവരുന്ന പദ്ധതി അഞ്ചുവര്ഷം കൊണ്ട് നടപ്പാക്കും
यामुळे शहरात किफायतशीर, विश्वासार्ह, सु... | ശിവാംഗി മോള്ക്കും അനേകം ആശംസകള്.
| 0 | NIv2 | task1072_pib_translation_marathi_malayalam | fs_opt | [
0.3176034688949585,
0.42472830414772034,
0.17643705010414124,
-0.24413220584392548,
0.1358141303062439,
-0.21513304114341736,
-0.3484010398387909,
0.825965940952301,
0.2185322493314743,
-0.14681819081306458,
-0.3454577326774597,
0.13348060846328735,
-0.030837010592222214,
-0.32277697324752... |
Given a sentence in the Japanese and Central Khmer language. Your task is check if the Khamer sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
[EX Q]: Japanese: トルクメニスタンにおける彼の支配は、ソ連の共産党での奉仕の後にきた。
Khamer: ការកាន់អំណាចរបស់គាត់ក្នុងប្រទេស Turkm... | Yes
| 6 | NIv2 | task1123_alt_ja_khm_answer_generation | fs_opt | [
-0.45290642976760864,
-0.5242652893066406,
-0.05910206958651543,
-0.015341931022703648,
-0.02569226734340191,
-0.9977946877479553,
1.002715826034546,
0.6218793392181396,
-0.20888376235961914,
-0.23766689002513885,
-0.3359439969062805,
-0.12582483887672424,
-0.680600106716156,
0.55171406269... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | No | 6 | NIv2 | task1208_atomic_classification_xreason | fs_opt | [
0.15159451961517334,
0.25795871019363403,
0.15508781373500824,
-0.028772691264748573,
-0.4235980808734894,
-0.5695871114730835,
1.1073654890060425,
0.2694022059440613,
-0.22348909080028534,
-0.3157994747161865,
-0.49772006273269653,
-0.34281396865844727,
-0.714470386505127,
0.1259872019290... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.