inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
Given a sentence in the Japanese and Thai language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Q: Japanese: サファロフは、サファロフとマルガリャンが2人ともNATOの平和のためのパートナーシップに参加していた時に、2004年にブダペストで起きた、アメリカの役人であるガーゲン・マルガリャン殺人事件で... | No | 4 | NIv2 | task1129_alt_ja_th_answer_generation | zs_opt | [
-0.763866662979126,
-0.42584866285324097,
0.05185611918568611,
-0.0711369514465332,
0.4420749545097351,
-0.8643864989280701,
0.7706668376922607,
0.7918894290924072,
-0.3695661723613739,
0.12629537284374237,
-0.06681126356124878,
0.616930365562439,
-0.3199194073677063,
0.3440859913825989,
... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Arabic.
Input: Consider Input: É un pastor. Pasou toda a súa vida usando un tirapedras para defender o seu rabaño contra leóns e lobos.
Output: إنه راع. أمضى عمره كراعي مستعملا سرجه في صد هجمات الأسود والذئاب عن قطيعه.
Input: ... | Output: منذ ذلك الوقت ، لقد فهمنا الكثير عن هذه الخلايا.
| 2 | NIv2 | task1241_ted_translation_gl_ar | fs_opt | [
-0.4146488606929779,
0.8336299657821655,
-0.5237457156181335,
-0.6731531620025635,
-0.7645705938339233,
-0.3981174826622009,
0.9040558338165283,
0.49125295877456665,
-0.21024343371391296,
0.2117002308368683,
-0.9403391480445862,
0.49260425567626953,
-0.7114275693893433,
-0.0135462237522006... |
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 review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that ... | no | 0 | NIv2 | task285_imdb_answer_generation | fs_opt | [
-0.15646494925022125,
0.1848430335521698,
-0.37342748045921326,
0.24801714718341827,
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0.8528675436973572,
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0.11324185132980347,
0.0406394898891449,
-0.476182758808136,
0.02616720087826252,
-0.2980460226535797,
0.065634585916996,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
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 hypo... | no | 0 | NIv2 | task501_scruples_anecdotes_post_type_verification | fs_opt | [
0.3145179748535156,
0.49214762449264526,
0.006771774496883154,
0.1426938772201538,
0.09899948537349701,
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1.328298568725586,
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0.1569267213344574,
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-0.006169596686959267,
0.05145907402038... |
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 did not follow the instructions correctly . | 1 | NIv2 | task024_cosmosqa_answer_generation | fs_opt | [
0.530571699142456,
0.9894021153450012,
0.10304554551839828,
0.8087471127510071,
0.31874358654022217,
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0.922265887260437,
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0.14430446922779083,
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-0.4888345003128052,
... |
Instructions: You are given a background paragraph that describes one or more causal or qualitative relationships such as a relationship in economics or a scientific law and a story that makes use of the concepts or the relationship described in the provided paragraph. You are also given a question about the story that... | Small. | 3 | NIv2 | task061_ropes_answer_generation | zs_opt | [
0.3296571969985962,
1.0453739166259766,
-0.6937700510025024,
-0.47164279222488403,
-0.07854852080345154,
-0.7182216644287109,
0.22629135847091675,
0.5120641589164734,
-0.42267829179763794,
-0.07125288248062134,
-0.7953067421913147,
-0.3629206418991089,
-0.5336344242095947,
-0.0143448198214... |
Detailed Instructions: Rewrite each original sentence in order to make it easier to understand by non-native speakers of English. You can do so by replacing complex words with simpler synonyms (i.e. paraphrasing), deleting unimportant information (i.e. compression), and/or splitting a long complex sentence into several... | Some people guess that he was also in Paris between 1308 and 1310. | 8 | NIv2 | task111_asset_sentence_simplification | zs_opt | [
-0.3530465364456177,
0.7292644381523132,
0.07031416147947311,
-0.38690876960754395,
-0.21751800179481506,
0.249808669090271,
1.0227055549621582,
0.08081134408712387,
0.19453346729278564,
0.2994205057621002,
-0.5664269924163818,
0.6300341486930847,
-0.8054091930389404,
0.32529690861701965,
... |
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... | 1998706478
| 0 | NIv2 | task1443_string_to_number | fs_opt | [
-0.6285684704780579,
1.362267255783081,
-0.608720064163208,
-1.204949140548706,
-0.5278522968292236,
-0.29473137855529785,
0.6101232767105103,
0.03073919750750065,
0.10983394086360931,
-0.48114532232284546,
-0.9051816463470459,
0.16429656744003296,
-0.9406169652938843,
-0.22165724635124207... |
Teacher: You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to choose the correct answer to the question based on the passage. Answer of the question cannot be found directly from the passage, it is indirectly indicated in the passage. Do not answer wit... | regina | 2 | NIv2 | task165_mcscript_question_answering_commonsense | fs_opt | [
0.9623369574546814,
0.47441262006759644,
-0.5662358403205872,
0.29857611656188965,
-0.45226943492889404,
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1.061157464981079,
1.1887494325637817,
-0.029631806537508965,
-0.2061643749475479,
-0.3073101043701172,
0.14477641880512238,
-0.03901217132806778,
-0.1047736555337... |
Instructions: Given a sentence and an entity, the task is to select the authors sentiment towards the enity. Sentiments can be Positive, Neutral and Negative. Select Positive if the sentence expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the sentence expresses no ... | Neutral | 3 | NIv2 | task421_persent_sentence_sentiment_classification | zs_opt | [
-0.7235333919525146,
0.5312097072601318,
-0.034279145300388336,
0.3377584218978882,
0.1338542401790619,
-0.3675369620323181,
0.5227778553962708,
1.0387091636657715,
-0.019703153520822525,
0.03752855584025383,
-0.10776083171367645,
-0.10702569782733917,
0.283977210521698,
-0.156493782997131... |
Detailed Instructions: 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: date status
Words: data sets, dastards, water, do tests, current
A: | water | 9 | NIv2 | task141_odd-man-out_classification_category | zs_opt | [
0.08991685509681702,
0.18901365995407104,
-0.3598549962043762,
-0.377794086933136,
0.2725783586502075,
-0.7018066644668579,
0.17353887856006622,
0.7972487211227417,
0.41606438159942627,
0.44076573848724365,
-0.49583035707473755,
-0.4981609582901001,
-0.21679487824440002,
0.0251394119113683... |
Q: In this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Spanish language.
The activation of the complement system originates molecules with different biological activity, among which C3b and C4b
A: | La activación del sistema del complemento origina moléculas con distinta actividad biológica, entre las que C3b y C4b | 7 | NIv2 | task1432_head_qa_language_translation_en_to_es | zs_opt | [
0.5453256368637085,
0.7280277013778687,
-1.0985641479492188,
-0.08669094741344452,
-0.049326248466968536,
-0.6449390649795532,
0.45311039686203003,
1.5097661018371582,
-0.43418002128601074,
-0.49349191784858704,
-1.0180723667144775,
-0.5461657047271729,
-1.0954087972640991,
-0.181192234158... |
A text is given in Malayalam. Translate it from the Malayalam language to the Panjabi language. The translation must not omit or add information to the original sentence.
Let me give you an example: ਪੱਛਮ ਤੋਂ ਪੂਰਬ ਤੱਕ ਊਰਜਾ ਖਪਤ ਵਿੱਚ ਇੱਕ ਤਬਦੀਲੀ ਆਈ ਹੈ।
The answer to this example can be: പടിഞ്ഞാറ് നിന്ന് കിഴക്കോട്ട് energy... | പുതുതായി രൂപകല്പ്പനചെയ്ത ഡൈനാമിക് വെബ്സൈറ്റ്: സംയോജിത പേയ്മെന്റ് ഗേറ്റ്വേയുള്ള പുതുതായി നവീകരിച്ച ഡൈനാമിക് വെബ്സൈറ്റ് (www. | 8 | NIv2 | task1006_pib_translation_punjabi_malayalam | fs_opt | [
0.5478380918502808,
0.8141099810600281,
-0.12994199991226196,
-0.7794973850250244,
-0.49743568897247314,
-1.354783535003662,
0.19412818551063538,
0.2787420451641083,
-0.33147695660591125,
0.06431755423545837,
-0.30109119415283203,
-0.1747632622718811,
-0.8119044303894043,
-0.32804083824157... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Spanish.
Example: Podem assim exprimir tudo desde admiração e desejo até ansiedade e angústia.
Example solution: Y puede expresar desde admiración y codicia, hasta ansiedad y angustia.
Example explanation: The Portugese senten... | Solution: Ahora miremos a los niños pequeños. | 5 | NIv2 | task1276_ted_translation_pt_es | fs_opt | [
0.01698608137667179,
1.1425976753234863,
0.3865022361278534,
-0.4193227291107178,
-0.3647874593734741,
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0.4805009961128235,
0.7871851921081543,
0.5733109712600708,
-0.5385348796844482,
-0.9107446670532227,
0.18621155619621277,
-0.7679332494735718,
0.406985342502594,
0... |
Teacher: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".
Teacher: Now, understand the problem? Solve this instance: Japanese: これは現在の13億の喫煙者のうち、6億5千万人が... | No | 6 | NIv2 | task1123_alt_ja_khm_answer_generation | zs_opt | [
0.17962035536766052,
-0.43545258045196533,
0.017475498840212822,
-0.8151018619537354,
0.004920943174511194,
-0.8829943537712097,
0.5678507089614868,
0.5352416634559631,
0.0358518622815609,
-0.06888795644044876,
-0.13373512029647827,
0.17976528406143188,
-0.6499310731887817,
0.1986431181430... |
You are given a sentence in English. Your job is to translate the English sentence into Portugese.
One example: Astronomers now believe that every star in the galaxy has a planet, and they speculate that up to one fifth of them have an Earth-like planet that might be able to harbor life, but we haven't seen any of them... | Todas as crianças têm direito a uma família, merecem e precisam de uma família e as crianças são espantosamente resilientes. | 6 | NIv2 | task1094_ted_translation_en_pt | fs_opt | [
0.007183918263763189,
0.6947339773178101,
0.09631341695785522,
-0.7112370133399963,
-0.29870203137397766,
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0.16166739165782928,
0.401641845703125,
0.4748162627220154,
-0.6745507121086121,
-0.03526236116886139,
0.5781732201576233,
-0.8254704475402832,
-0.1512645184993744... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Japanese.
Let me give you an example: ما آواز خوندیم ، و خوندیم ، آواز خونديم ، و بطور شگفت انگیزی اعتماد جدید رشد کرد ، و درواقع دوستی شکوفه زد.
The answer to this example can be: 私たちはただひたすら歌い続けましたすると驚くことに信頼が芽生え友情が花開いたのです
Here is wh... | 私達は実は自分が考えているほど物事を分かっていないことをご説明しようと思います | 8 | NIv2 | task1266_ted_translation_fa_ja | fs_opt | [
0.39937904477119446,
1.36326003074646,
-0.2663921117782593,
0.23713980615139008,
-0.7074538469314575,
-0.508674144744873,
0.9339940547943115,
0.24006648361682892,
0.14217330515384674,
-0.47845929861068726,
-0.8902144432067871,
0.2968977689743042,
-1.2832682132720947,
0.4425583779811859,
... |
In this task, you will be given text in English. You need to translate the text into the Sinhali language.
Q: In the wall of the right atrium is an oval-shaped depression known as the fossa ovalis
A: | දකුණු කර්ණිකා බිත්තියේ අණ්ඩාකාර නිඛාතය නැමැති ඕවලාකාර - හැඩැති අවපාතනයක් පිහිටයි. | 4 | NIv2 | task604_flores_translation_entosn | zs_opt | [
1.2952008247375488,
0.5311830639839172,
-0.7054586410522461,
0.028134269639849663,
-0.6416138410568237,
-1.409330129623413,
-0.4817698001861572,
0.5947021245956421,
0.73764967918396,
0.4360126554965973,
0.2706219553947449,
-0.2392059564590454,
0.2401449978351593,
0.6226929426193237,
0.90... |
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.
... | joy | 0 | NIv2 | task1663_cedr_ru_incorrect_classification | zs_opt | [
-0.3094276189804077,
-0.16365298628807068,
0.27532607316970825,
-0.29800111055374146,
-0.4795619547367096,
-0.6962828636169434,
0.3695114254951477,
0.6820654273033142,
-0.05817069113254547,
-0.1046779602766037,
-0.3641301989555359,
-0.11401818692684174,
-0.17180681228637695,
0.262156695127... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into English.
Q: واقعیت این است که در سال ۱۷۳۸ یک دانشمند هلندی به نام دانیل برنولی این نعمت را به جهانیان هدیه کرده است.
A: | It turns out that, in fact, the world was given this gift in 1738 by a Dutch polymath named Daniel Bernoulli. | 4 | NIv2 | task1265_ted_translation_fa_en | zs_opt | [
-0.564301609992981,
1.021316647529602,
0.006375491619110107,
-0.07820480316877365,
-0.8853325247764587,
-0.30255523324012756,
0.20299825072288513,
0.17486177384853363,
1.0371735095977783,
-0.9076341390609741,
-0.5632538795471191,
1.4582862854003906,
-0.2528432309627533,
0.19817709922790527... |
Given a sentence in Tagalog language, translate the sentence to English language keeping the meaning of the original sentence intact.
Q: Tagalog sentence: Ipinahayag ng Bagong Tipan na ang lahat ng mga mananampalataya ay mga tagapagmana ng mga pangako na ibinigay ng Diyos kay Abraham.
A: | The New Testament reveals that all believers are heirs to the promises God gave Abraham. | 4 | NIv2 | task451_opus_paracrawl_tl_en_translation | zs_opt | [
0.8345291614532471,
0.29994267225265503,
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0.2511023283004761,
0.9708470106124878,
0.1797005832195282,
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0.14130929112434387,
-0.23354533314704895,
-0.5652183294296265,
0.2575833201408386,
... |
Given the task definition and input, reply with output. 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.
8月6日、武器を持った強盗が、警察いわくイギリスで2番目に大きい強盗を行い、ロンドンの宝石店から約4000万ポンド相当を盗んだ。
| ສິ່ງທີ່ຕຳຫຼວດເຊື່ອແມ່ນ ການປຸ້ນທີ່ໃຫຍ່ເປັນອັນດັບສອງໃນ ອັງກິດ ກຸ່ມໂຈນໄດ້ປຸ້ນກວ່າ €40 ລ້ານ ຈາກຮ້ານຂາຍເພັດ ລອນດອນ ໃນວັນທີ 6 ເດືອນສິງຫາ. | 5 | NIv2 | task1124_alt_ja_lo_translation | zs_opt | [
0.010392124764621258,
0.741521954536438,
-0.17848670482635498,
-0.5490937232971191,
-0.2757130265235901,
-0.08401098847389221,
-0.4278934895992279,
0.08350345492362976,
-0.4666082262992859,
-0.7899978160858154,
-0.3033996522426605,
0.5991725921630859,
-1.0526360273361206,
0.117608457803726... |
Teacher:You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Galician.
Teacher: Now, understand the problem? Solve this instance: Liquidsore29 ، حقاً ؟ حقاً ؟ حسنا.
Student: | ¿Liquidstore29, non? ¿Si? Ben. | 6 | NIv2 | task1105_ted_translation_ar_gl | zs_opt | [
-0.11843906342983246,
0.5144146680831909,
0.6702252626419067,
-1.7601830959320068,
-0.33956271409988403,
-1.4827206134796143,
0.13308078050613403,
0.2984820604324341,
-0.11464448273181915,
-0.043731626123189926,
-0.2555291950702667,
0.12483741343021393,
-1.2039151191711426,
-0.483262598514... |
Q: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.
a ballet class wants to divide its 90 members in... | 12.857142857142858 | 7 | NIv2 | task862_asdiv_multidiv_question_answering | zs_opt | [
0.3725014925003052,
1.4081380367279053,
-0.39538753032684326,
0.1611064225435257,
-0.15798574686050415,
0.4373719394207001,
0.9969123601913452,
-0.04497092217206955,
0.18636555969715118,
-0.37911415100097656,
0.18229003250598907,
0.2085725963115692,
-0.6404969692230225,
0.26710134744644165... |
instruction:
Given a sentence in Igbo language, translate the sentence to English language keeping the meaning of the original sentence intact
question:
Igbo sentence: Onye ọrụ omenala a tụrụ anya na ogologo oge gara aga ka ọ nụ okwu sitere na Chineke maka ya.
answer:
This customs official expected long ago to hear a w... | For where there was Sid, there was Daniel.
| 9 | NIv2 | task449_opus_paracrawl_ig_en_translation | fs_opt | [
-1.235341191291809,
0.4835554361343384,
0.008630283176898956,
-1.1538152694702148,
-0.4223296642303467,
-0.7302690744400024,
0.4265088737010956,
0.15584123134613037,
-0.33727115392684937,
-0.13195540010929108,
-0.2602895498275757,
0.6631497144699097,
-0.385383278131485,
0.6483627557754517,... |
In this task, you are given product reviews about dvds. The goal is to classify the review as "POS" if the overall sentiment of the review is positive(the reviewer is satisfied) or as "NEG" if the overall sentiment of the review is negative(the reviewer is not satisfied).
The Last Picture Show Meets Von Ryan's Express... | NEG | 0 | NIv2 | task477_cls_english_dvd_classification | zs_opt | [
-0.026475802063941956,
-0.17659029364585876,
-0.07127324491739273,
-0.10752743482589722,
0.07161277532577515,
0.2824276387691498,
0.6381916999816895,
-0.04369552433490753,
0.032487452030181885,
0.6037588119506836,
-0.15488116443157196,
-0.754758358001709,
-0.4264009892940521,
-0.0912369042... |
Teacher:You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Portugese.
Teacher: Now, understand the problem? Solve this instance: الفتاة: حسنا. (المرأة: هل قمت باختبار تقبيل من قبل ؟) الفتاة: لا
Student: | Rapariga: Está bem. (Mulher: Alguma vez fez o teste do beijo, anteriormente? Rapariga: Não. | 6 | NIv2 | task1109_ted_translation_ar_pt | zs_opt | [
-0.7033165693283081,
0.6342687606811523,
0.26374220848083496,
-1.0757250785827637,
-0.22984114289283752,
-0.5561975240707397,
0.22150620818138123,
0.9228766560554504,
0.26890677213668823,
0.22860808670520782,
-0.3818426728248596,
-0.4790881276130676,
-0.3707476258277893,
-0.397161006927490... |
Teacher:Given a sentence in Dutch, generate a new Dutch sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of ... | Een bed is een mooie plek om uit te rusten of te slapen. | 6 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | zs_opt | [
-0.5162231922149658,
0.8379276394844055,
-0.23339137434959412,
-1.070570707321167,
-0.23541589081287384,
-0.7873587608337402,
0.7407796382904053,
0.3790053725242615,
0.1183980405330658,
-1.0420812368392944,
-0.578326940536499,
0.9609919190406799,
-0.9370315074920654,
-0.39923131465911865,
... |
Detailed Instructions: 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 -
'.': ... | NOUN | 9 | NIv2 | task1167_penn_treebank_coarse_pos_tagging | zs_opt | [
0.3514145016670227,
-0.054076794534921646,
-0.33170658349990845,
0.09785258024930954,
-0.12280190736055374,
-0.6700219511985779,
0.6399619579315186,
0.7610893249511719,
-0.4424131512641907,
0.045795660465955734,
-0.7023429870605469,
0.2152421921491623,
-0.6390870213508606,
0.24921128153800... |
Given the task definition and input, reply with output. Given a sentence and two mentions from the text (arguments), indicate a phrase (a verb or noun phrase) that describes the relationship between the provided arguments.
Sentence: 'Actor and director Clint Eastwood was born Clinton Eastwood , Jr. on this day in San ... | be bear in | 5 | NIv2 | task676_ollie_relationship_answer_generation | zs_opt | [
0.03523978218436241,
0.7870084047317505,
0.27017050981521606,
0.19569139182567596,
0.017053119838237762,
-1.0460929870605469,
-1.1486234664916992,
-0.07019369304180145,
0.05629998445510864,
-0.029990699142217636,
0.6877847909927368,
0.12199411541223526,
-1.1382232904434204,
0.3292067050933... |
Given a sentence in Hindi, generate a new Hindi sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being... | आप इंजन आदेश कर सकते हैं जब डायल पर आता है।
| 0 | NIv2 | task407_mickey_hi_sentence_perturbation_generation | fs_opt | [
-0.27477601170539856,
0.14434894919395447,
0.5121010541915894,
-0.2979523539543152,
0.10815481841564178,
-0.724463939666748,
-0.03888946771621704,
0.7722647786140442,
-0.19407105445861816,
-0.4467446208000183,
-1.0041396617889404,
-0.3145568370819092,
-0.17131535708904266,
0.45747464895248... |
Teacher: In this task, you're given a question, along with three passages, 1, 2, and 3. Your job is to determine which passage can be used to answer the question by searching for further information using terms from the passage. Indicate your choice as 1, 2, or 3.
Teacher: Now, understand the problem? If you are still ... | 2 | 2 | NIv2 | task230_iirc_passage_classification | fs_opt | [
0.13366132974624634,
0.46883711218833923,
-0.570671796798706,
0.0064276219345629215,
0.5795246362686157,
-0.23226772248744965,
0.8043994307518005,
1.2313437461853027,
-0.01728963851928711,
0.18354448676109314,
0.06044045835733414,
0.26677417755126953,
-0.32487601041793823,
-0.0279950723052... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Galician.
Input: Consider Input: (خنده) گفتگو ها فرصت های تبلیغاتی نیستند.
Output: (Risos) As conversacións non son unha oportunidade para a promoción.
Input: Consider Input: ودراین راه من موفق به یافتن نور یا چراغ پنهان افغان... | Output: Son dous ciclos de mellora para o millo.
| 2 | NIv2 | task1270_ted_translation_fa_gl | fs_opt | [
-1.0653127431869507,
0.6704903841018677,
-0.19068528711795807,
-0.17414575815200806,
-1.1319565773010254,
-0.1436018943786621,
0.4779292345046997,
0.4207996428012848,
0.09677460044622421,
-0.06934766471385956,
-0.957409143447876,
0.1282055377960205,
-0.10840676724910736,
0.3554007411003113... |
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..
Context: Kendall had Skylar's back and Skylar returned the affection without question.
Answer: loved
How would Skylar feel as a resul... | What will Carson want to do next?
| 0 | NIv2 | task581_socialiqa_question_generation | fs_opt | [
-0.35032567381858826,
1.1391377449035645,
-0.016431691125035286,
-0.6415228247642517,
-0.27016425132751465,
0.005525180138647556,
0.3505014181137085,
0.10699492692947388,
0.6428322792053223,
0.08747972548007965,
-0.14588387310504913,
0.4081478714942932,
-1.1170077323913574,
0.4029790759086... |
You will be given a definition of a task first, then some input of the task.
In this task, given 2 input sentences, you must classify the relation between them. If the second sentence has a similar meaning to that of the first sentence then the output is ' B_entails_A', if the second sentence has the opposite meaning t... | B_neutral_A | 1 | NIv2 | task1615_sick_tclassify_b_relation_a | zs_opt | [
-0.7275412082672119,
0.23922216892242432,
0.036068595945835114,
-0.13808979094028473,
-0.37720438838005066,
0.0696353167295456,
0.16384147107601166,
0.3627340793609619,
0.5708965063095093,
-0.28910309076309204,
-0.8125250935554504,
0.10940220952033997,
0.303027480840683,
-0.110924623906612... |
Given the task definition and input, reply with output. 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).... | Yes | 5 | NIv2 | task1196_atomic_classification_oeffect | zs_opt | [
0.12390962243080139,
0.6835623383522034,
0.4099220037460327,
-0.1349097490310669,
-0.5488784313201904,
-0.47796499729156494,
1.0283336639404297,
0.34319454431533813,
-0.2746116518974304,
-0.21675074100494385,
-0.5312283635139465,
-0.11727628111839294,
-0.6731834411621094,
0.077455796301364... |
Instructions: Write a fact related to the given fact, based on the given topic word. Note that, your fact should have at least one word in common with the given fact. All facts in this task refer to scientific facts. Your related fact must form a chain with the given fact. Chains form when two facts connect together to... | Tree age, scion, nutrition and other factors that affect the overall health of the tree could affect rootstock resistance or susceptibility to Phytophthora. | 3 | NIv2 | task037_qasc_generate_related_fact | zs_opt | [
-0.042568206787109375,
1.001387119293213,
-0.6885436773300171,
-0.48417115211486816,
-0.5803026556968689,
-0.9989317655563354,
-0.08120279759168625,
0.7955998182296753,
-0.7649716734886169,
0.12163743376731873,
-1.328134536743164,
0.5583227872848511,
-0.5656658411026001,
0.1118617877364158... |
TASK DEFINITION: In this task, you are given a Reddit post as a text. Your task is to generate a short summary for this text. The summary must include a situation which caused humor. The summary should be one or two sentences long.
PROBLEM: Text: so i had a day off today, woke up nice and late, had nothing to do or any... | googled 90s trivia, spoiled twin peaks
| 8 | NIv2 | task511_reddit_tifu_long_text_summarization | fs_opt | [
0.433486670255661,
-0.10358786582946777,
-0.4384533762931824,
-0.1949433982372284,
0.18560320138931274,
-0.6253820657730103,
0.8866584300994873,
0.980076253414154,
-0.3771652579307556,
0.16780467331409454,
-0.3038603961467743,
-0.31745031476020813,
-0.278643399477005,
0.02811000496149063,
... |
Given the task definition and input, reply with output. Given a set of four words, generate the category that the words belong to. Words are separated by commas. The possible categories are social gathering, accomodation, physical property, measurement unit, corporate, nutritional value, boats, police punishment, locat... | physical activity | 5 | NIv2 | task143_odd-man-out_classification_generate_category | zs_opt | [
0.07661309838294983,
0.3465571999549866,
-0.5119246244430542,
-0.057542748749256134,
0.06611164659261703,
0.2600398063659668,
-0.38282227516174316,
0.33078479766845703,
0.19221961498260498,
-0.16723836958408356,
-0.3571242690086365,
-0.11168088018894196,
-0.2805900573730469,
-0.34749644994... |
Definition: In this task, you are given a multiple-choice question and you have to pick the correct option. Answer with option indexes (i.e., "A", "B", "C", and "D").
Input: Scrubbing a toilet is (A) predestined (B) innate (C) genetic (D) learned
Output: | D | 2 | NIv2 | task1286_openbookqa_question_answering | zs_opt | [
-0.3332841396331787,
0.6602877974510193,
-0.6494200229644775,
0.10870935022830963,
-0.45849478244781494,
-0.25074607133865356,
-0.46309858560562134,
0.7757592797279358,
0.09637092798948288,
0.21437758207321167,
-0.4756911098957062,
0.021410943940281868,
0.4446873068809509,
-0.8164622187614... |
In this task, you're given an article and an answer. Your task is to generate the fill-in-the-blank question for this answer based on the given article. The blanks are always at the end of the question, and can be filled with more than one word or phrase.
One example is below.
Q: Article: Homework can put you in a badm... | English farmers began to hire children to get away birds since _ . | 9 | NIv2 | task649_race_blank_question_generation | fs_opt | [
0.16640862822532654,
0.27644065022468567,
-0.106842041015625,
-0.4460902810096741,
0.33552348613739014,
-0.6693888306617737,
0.3511163294315338,
0.9965654015541077,
-0.10981367528438568,
-0.10879379510879517,
-0.24707213044166565,
0.3350069224834442,
-0.8201797008514404,
0.1721948236227035... |
You will be given a definition of a task first, then some input of the task.
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, Pers... | No | 1 | NIv2 | task1213_atomic_classification_desires | zs_opt | [
-0.09111252427101135,
0.294564813375473,
0.44178617000579834,
-0.06646091490983963,
-0.3933057487010956,
-0.5362178087234497,
1.076019525527954,
-0.11906816065311432,
-0.8204694986343384,
-0.4604707360267639,
-0.3453064560890198,
-0.7279678583145142,
-0.26034867763519287,
0.373327165842056... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: toxic and non-toxic. Toxicity is defiend as anything that is rude, disrespectful, or unreasonable that would make someone want to leave a converation.
Q: Comment: Many bishops running the churc... | Toxic | 4 | NIv2 | task327_jigsaw_classification_toxic | zs_opt | [
-0.5135221481323242,
0.5941810607910156,
0.5948067903518677,
0.06676983833312988,
-0.40078675746917725,
-0.814420759677887,
0.787080705165863,
0.10167157649993896,
0.5447078347206116,
0.664251446723938,
-0.04061669111251831,
0.6381462812423706,
-0.6409391164779663,
-0.40891554951667786,
... |
In this task, you're given a context passage, a question, and three answer options. Your task is to return an incorrect answer option to the question from the choices given. For all questions, only one of the three answer options is correct. Pick one of the two incorrect answer options as the output.
Q: Context: Jordan... | B | 4 | NIv2 | task385_socialiqa_incorrect_answer_generation | zs_opt | [
-0.5873286724090576,
0.37754273414611816,
0.09185559302568436,
-0.3025672435760498,
-0.6070069670677185,
-0.2696845233440399,
1.2459981441497803,
0.749927818775177,
-0.18635517358779907,
-0.09940850734710693,
0.041766226291656494,
-0.25828152894973755,
-0.4444669485092163,
-0.0026572300121... |
Definition: 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.... | No | 2 | NIv2 | task1197_atomic_classification_oreact | zs_opt | [
0.031417228281497955,
-0.10374341905117035,
0.5142385959625244,
0.20493805408477783,
-0.1333201825618744,
-1.0886493921279907,
0.900063157081604,
0.23394858837127686,
-0.5770045518875122,
-0.5885838866233826,
-0.05143361911177635,
-0.35756510496139526,
-0.5776751041412354,
0.34701314568519... |
Instructions: In this task, you're given a passage, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both passage and link information t... | What other animals inhabited South America during the Cenozoic? | 3 | NIv2 | task236_iirc_question_from_passage_answer_generation | zs_opt | [
0.33330315351486206,
0.5127860307693481,
-0.37650495767593384,
0.10315801948308945,
-0.30921995639801025,
0.20344780385494232,
0.7274373769760132,
0.5945687294006348,
0.2690730094909668,
-0.24214109778404236,
-0.17420929670333862,
0.25773659348487854,
-0.9224156141281128,
0.133385524153709... |
In this task, you need to output 'Yes' if the given number is a prime number otherwise output 'No'. A 'prime number' is a a whole number above 1 that can not be made by multiplying other whole numbers.
Q: 65179
A: | Yes | 4 | NIv2 | task092_check_prime_classification | zs_opt | [
0.10192924737930298,
0.6698137521743774,
0.13466104865074158,
-0.2814660966396332,
-0.3081100583076477,
-0.33020883798599243,
0.6357823610305786,
0.8704313039779663,
0.012525885365903378,
0.20402292907238007,
-0.9760671854019165,
-0.11060569435358047,
-0.46135544776916504,
-0.2692264914512... |
Detailed Instructions: The task is to write a full sentence or two using all of the information given. The sentence(s) will be a brief review of a restaurant. Use all of the information provided.
See one example below:
Problem: name[xname], cuisine[Fast Food], rating[average], familyFriendly[yes], near[xnear]
Solution:... | xname is an adults only pub located on the Thames which serves English food. | 4 | NIv2 | task1598_nyc_long_text_generation | fs_opt | [
-0.4398649036884308,
0.7639919519424438,
-0.9140172004699707,
-0.6601979732513428,
-0.7368148565292358,
-0.06601034104824066,
0.8266696929931641,
0.5367937684059143,
0.27756327390670776,
-0.5660382509231567,
0.5326380729675293,
-0.25599905848503113,
-0.4428676962852478,
-0.0536331087350845... |
Teacher:Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individua... | green_basket | 6 | NIv2 | task153_tomqa_find_location_hard_clean | zs_opt | [
0.3683322072029114,
-0.20309123396873474,
-0.27453500032424927,
-0.11495056003332138,
-0.40887829661369324,
-0.4895109534263611,
-0.06870214641094208,
0.8183238506317139,
0.30644428730010986,
-0.37346866726875305,
-0.13191024959087372,
0.40204691886901855,
0.21074458956718445,
-0.126885443... |
Detailed Instructions: 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 ... | What continues to grow along with stealth technology? | 8 | NIv2 | task074_squad1.1_question_generation | zs_opt | [
0.11108814179897308,
0.35925745964050293,
-0.16731074452400208,
0.016944099217653275,
0.43263304233551025,
0.5367298126220703,
0.6604511737823486,
0.9498791694641113,
0.21679961681365967,
0.28632086515426636,
-0.5256862640380859,
0.21705347299575806,
-0.28531426191329956,
-0.03978330269455... |
In this task your given two statements in Swahili. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
[Q]: Msichana alibadilisha skuli.
Alihamia mji mpya.
[A]: cause
... | effect
| 5 | NIv2 | task1175_xcopa_commonsense_cause_effect_sw | fs_opt | [
-0.373497873544693,
1.0341365337371826,
-0.12391901016235352,
-1.1313802003860474,
-0.795392632484436,
-0.4131569564342499,
0.25961214303970337,
1.228702187538147,
0.35197913646698,
-0.8060908317565918,
-0.49465930461883545,
0.3615496754646301,
-0.9272931218147278,
0.0965103730559349,
-0... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into English.
حسنا ، على حسب ما قمنا به في الولايات المتحدة وأماكن أخرى ، فإننا نعلم أن هناك ثلاث أشياء أساسية علينا القيام بها لنعيد إحياء المزارع السمكية ، وهي... | Well, based on our work in the United States and elsewhere, we know that there are three key things we have to do to bring fisheries back, and they are: We need to set quotas or limits on how much we take; we need to reduce bycatch, which is the accidental catching and killing of fish that we're not targeting, and it's... | 1 | NIv2 | task1230_ted_translation_ar_en | zs_opt | [
-0.4811553955078125,
0.14690443873405457,
-0.06008338928222656,
-0.5962262749671936,
-0.2279706597328186,
0.3462561070919037,
1.1966735124588013,
0.8622948527336121,
-0.30105578899383545,
0.1380271166563034,
-0.5761656761169434,
0.20819665491580963,
-1.0337821245193481,
0.12959912419319153... |
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
****
| 4 | NIv2 | task403_creak_commonsense_inference | fs_opt | [
-0.26571041345596313,
0.3323208689689636,
-0.43656280636787415,
-0.09558016806840897,
-0.33989158272743225,
-1.3592474460601807,
0.8970184326171875,
0.8594354391098022,
0.13816462457180023,
-0.19430607557296753,
-0.6115583181381226,
-0.2875475585460663,
-0.2391495257616043,
0.1597474515438... |
Detailed Instructions: Given a sentence in the Japanese, provide an equivalent translation in Thai that retains the same meaning through the translation. In translation, keep numbers as it is.
Q: 「私は、ただ私のチームに逃げるように勧めただけだ」と、サウスウエスト・インダストリアルのすぐ横で作業するエアガスのエディ・パーカーは言った。
A: | เอดดี้ ปาร์กเกอร์ จากบริษัท Airgas ซึ่งมีสำนักงานตั้งอยู่ติดกับนิคมอุตสาหกรรมภาคตะวันตกเฉียงใต้กล่าวว่า "ผมเพิ่งแนะนำให้เพื่อนร่วมงานของผมออกมา" | 9 | NIv2 | task1127_alt_ja_th_translation | zs_opt | [
-0.28440722823143005,
-0.008775120601058006,
-0.7371028661727905,
-1.0529042482376099,
-0.1493956595659256,
-1.5651767253875732,
0.10364307463169098,
0.1751493215560913,
-0.39791056513786316,
0.2847811281681061,
-0.20119017362594604,
0.15785722434520721,
0.04927986115217209,
0.081121720373... |
TASK DEFINITION: Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve... | jump left thrice and jump right twice
| 8 | NIv2 | task127_scan_long_text_generation_action_command_all | fs_opt | [
0.23193871974945068,
0.49315670132637024,
-0.5220972299575806,
-0.07022495567798615,
-0.020973850041627884,
0.7172073125839233,
0.5520583391189575,
0.4835450351238251,
-0.25903773307800293,
-0.3315015733242035,
-0.743188738822937,
-0.10510741174221039,
-0.5678781270980835,
0.13585254549980... |
A text is given in Bengali. Translate it from the Bengali language to the Marathi language. The translation must not omit or add information to the original sentence.
Let me give you an example: 20% हून कमी शेतकऱ्यांना याचा लाभ झाला
The answer to this example can be: কম কৃষক ২0% থেকে উপকৃত
Here is why: Correct transla... | আমার প্রিয় দেশবাসী, সংস্কৃতে একটা কথা আছে, "ন্যায়মূলং স্বরাজ্যং স্যাত" অর্থাৎ স্বরাজের মূলে থাকে ন্যায়। যখন ন্যায়ের বিষয়ে আলোচনা হয়, তখন মানবাধিকারের চিন্তাভাবনা সেখানে সম্পূর্ণরূপে অন্তর্নিহিত থাকে। | 8 | NIv2 | task1062_pib_translation_marathi_bengali | fs_opt | [
-0.16045108437538147,
0.5874138474464417,
0.2607991695404053,
0.08626396954059601,
-0.08345020562410355,
-0.7826396822929382,
0.2897084951400757,
0.46964597702026367,
-0.8686385154724121,
0.17796945571899414,
-1.2997934818267822,
0.17067782580852509,
-0.4326021671295166,
-0.039445608854293... |
Teacher: In this task, you are given a Reddit post as a text. Your task is to generate a short summary for this text. The summary must include a situation which caused humor. The summary should be one or two sentences long.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Text... | go to make gift for the girlfriend a little better but was lied to by a teenager, and now the gift is a little worse. | 2 | NIv2 | task511_reddit_tifu_long_text_summarization | fs_opt | [
-0.027834676206111908,
-0.3852701783180237,
-0.5777201056480408,
-0.3576192855834961,
0.3641371726989746,
-0.3215913772583008,
0.8177998065948486,
0.6700305938720703,
0.038794390857219696,
-0.3449774980545044,
0.3310379385948181,
0.480638712644577,
-0.5558621883392334,
0.03238993138074875,... |
In this task, you're given five sentences, numbered 1 through 5, and two options a and b for possible titles for the story. Your job is to choose the title that better fits the story. Indicate your choice by 'a' or 'b'.
Example input: Sentence 1: Marcus needed clothing for a business casual event. Sentence 2: All of h... | b | 3 | NIv2 | task220_rocstories_title_classification | fs_opt | [
0.22058023512363434,
0.18601462244987488,
-0.5258325338363647,
0.024406850337982178,
0.025536414235830307,
-0.7351261973381042,
0.20640097558498383,
0.7690926790237427,
0.4928593635559082,
0.3021462559700012,
-0.6295228004455566,
0.3583794832229614,
-0.24104350805282593,
-0.015133963897824... |
In this task, you are given a question containing a blank (_) and two options. You should pick the best option to answer the question. Please answer with "A" or "B".
Ex Input:
Neil's cat was terrified of thunderstorms but Kyle's wasn't bothered by them. _ found their cat hiding under the bed after the loud crackle of ... | B
| 1 | NIv2 | task1391_winogrande_easy_answer_generation | fs_opt | [
-0.17614300549030304,
0.9833297729492188,
-0.25644397735595703,
0.12015432119369507,
-0.3696829676628113,
-1.2734732627868652,
0.6652563810348511,
0.9596176147460938,
0.27772006392478943,
0.14973486959934235,
0.09690640866756439,
0.37151050567626953,
0.08769221603870392,
-0.270016491413116... |
Definition: In this task, you're given a paragraph and title from the research paper. Your task is to classify whether the given title is suitable or not for the research paper based on the given paragraph. Return "True" if title is proper according to paragraph else "False".
Input: Paragraph: undergo RNA recombination... | True | 2 | NIv2 | task1162_coda19_title_classification | zs_opt | [
0.06321794539690018,
0.5263208746910095,
-0.6433993577957153,
0.03118039108812809,
-0.38641124963760376,
0.019880754873156548,
0.41452789306640625,
-0.06601133942604065,
0.19503113627433777,
0.15015985071659088,
-1.168555736541748,
0.5291818380355835,
-0.6106964945793152,
0.736222863197326... |
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.
--------
Question: વિવિધ પાસાઓઃ
Answer: முக்கிய கூறுகள்:
Question: તમિલનાડુમાં રાજમાર્ગ માળખાને મોટું પ્રોત્સાહન આપવા પ્રધાનમંત્રી રાષ્ટ્રીય રાજમાર્ગ ... | குரு கோவிந்த் சிங் மருத்துவமனையில் 750 படுக்கை வசதிகள் கொண்ட கூடுதல் பகுதியை பிரதமர் நாட்டுக்கு அர்ப்பணிக்கிறார்.
| 7 | NIv2 | task1063_pib_translation_gujarati_tamil | fs_opt | [
-0.4976489543914795,
0.26382312178611755,
0.49793148040771484,
0.3269965946674347,
0.16418755054473877,
0.08874480426311493,
0.769142210483551,
0.6105219125747681,
-0.20139950513839722,
-0.3282684087753296,
-0.3186512589454651,
0.18468229472637177,
0.21103113889694214,
0.2621650993824005,
... |
Given the task definition and input, reply with output. In this task, you are given an impractical statement. You are also given three reasons (associated with "A", "B", "C") explaining why this statement doesn't make sense. You must choose the most corresponding reason explaining why this statement doesn't make sense.... | B | 5 | NIv2 | task295_semeval_2020_task4_commonsense_reasoning | zs_opt | [
-0.9894912242889404,
0.8606038093566895,
-0.0783236101269722,
-0.22268672287464142,
-0.3048451542854309,
-0.4908488988876343,
0.4080970585346222,
0.7256640195846558,
0.23755282163619995,
-0.04493999481201172,
-0.2962642014026642,
0.4221043586730957,
-0.2050124704837799,
-0.0179579108953475... |
Q: In this task, you are given a text which is the body of a document. You are given a question and options. Pick the correct number. Don't generate anything else apart from the numbers provided in options.
Context: Dr. Antonia Pantoja Community School of Excellence is a Community School located in the West Side of Buf... | 1 | 7 | NIv2 | task633_dbpedia_14_answer_generation | zs_opt | [
0.0034689626190811396,
0.5411360859870911,
0.5870939493179321,
0.4428940415382385,
0.05884814262390137,
-0.24109016358852386,
-0.25281843543052673,
0.35706719756126404,
0.38183051347732544,
0.16228872537612915,
0.42287492752075195,
0.4099871814250946,
-0.2812209129333496,
-0.79256409406661... |
In this task you will be given a list of integers. You should find the minimum 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 smallest possible absolute distance.
Example Input: [... | 25
| 3 | NIv2 | task1445_closest_integers | fs_opt | [
-0.41910237073898315,
0.4587724208831787,
0.1287747323513031,
-0.05622950941324234,
-0.05035608261823654,
-0.34269052743911743,
0.8637003898620605,
0.04717174917459488,
0.5374155640602112,
-0.3120344877243042,
-0.5204542875289917,
-0.5280433893203735,
-0.5865278244018555,
-0.24897329509258... |
Detailed Instructions: In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
See one example below:
Problem: Italy have defeated Po... | एक घंटे से अधिक समय तक चर्चा हुई, इससे पहले कि दोनों दलों ने फैसला किया कि एक गुप्त मतदान स्वीकार्य है, दोनों पक्षों के राजनेताओं ने चर्चा में भाग लिया, जहां पर खुलकर गुस्सा जाहिर किया गया। | 4 | NIv2 | task432_alt_en_hi_translation | fs_opt | [
0.22208932042121887,
1.0298386812210083,
-0.14032690227031708,
0.6605571508407593,
-0.36113736033439636,
-0.7684469223022461,
0.40118348598480225,
0.4584953784942627,
0.14432498812675476,
-0.3762134611606598,
-0.676439642906189,
0.664359450340271,
-0.023675937205553055,
0.4820234179496765,... |
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.
Ex Input:
Category: moral characteristic
Words: unprejudiced, warm, fair, ok, balanced
Ex Output:
warm
Ex Input:
Category: ocea... | prepare
| 1 | NIv2 | task141_odd-man-out_classification_category | fs_opt | [
-0.3377711772918701,
0.48724427819252014,
-0.16334004700183868,
-0.33083152770996094,
-0.25840669870376587,
-0.23105444014072418,
0.27082300186157227,
-0.3598865270614624,
0.21419048309326172,
-0.29056769609451294,
-0.03989753872156143,
-0.15841960906982422,
-0.8222789764404297,
0.01557993... |
Teacher: In this task you will be given a string and you should find the longest substring that is a palindrome. A palindrome is a string that is the same backwards as it is forwards. If the shortest possible palindrome is length 1 you should return the first character.
Teacher: Now, understand the problem? If you are ... | rkr | 2 | NIv2 | task850_synthetic_longest_palindrome | fs_opt | [
-0.41867905855178833,
0.7942570447921753,
0.4217252731323242,
-0.38638919591903687,
-0.2173888385295868,
-0.3256509006023407,
0.88273024559021,
-0.3853145241737366,
-0.3662850558757782,
-0.3460877537727356,
-0.5246130228042603,
-0.10627371072769165,
-0.4611414074897766,
0.16964669525623322... |
Q: In this task, you will be shown a conversation and a question. You need to write an implausible answer to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. "W" and "M" in the conversations stand for "woman" and "man".
M: Janet, do you know anything about this author's ... | Fashion. | 7 | NIv2 | task283_dream_incorrect_answer_generation | zs_opt | [
-0.11046165227890015,
0.8654258847236633,
-0.04254315048456192,
-0.5959903597831726,
0.37304240465164185,
-0.15567296743392944,
0.2411014884710312,
0.026424864307045937,
0.6687161922454834,
-0.3275689482688904,
-1.0367422103881836,
-0.02052539587020874,
-0.3859707713127136,
-0.376420319080... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
Example input: Ao longo do livro, George chama a atenção de que a sua tecnologia, a tecnologia da biologia sintética, está atualmente a acelerar a uma taxa 4 vezes superior à Lei de Moore.
Example output: Ora, lungo ... | Due giorni dopo, fui trasferito in un altro posto. | 3 | NIv2 | task1280_ted_translation_pt_it | fs_opt | [
-0.6346893310546875,
1.009420394897461,
-0.02620886079967022,
-0.14910146594047546,
-0.23062030971050262,
-0.951086163520813,
-1.3714289665222168,
1.5995019674301147,
-0.41748398542404175,
-0.04099886491894722,
-0.6119338274002075,
0.3316735029220581,
-0.35168519616127014,
-0.1646197438240... |
Detailed Instructions: In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
Q: I am quite healthy.
A: | Do you have diabetes? | 9 | NIv2 | task568_circa_question_generation | zs_opt | [
0.18146085739135742,
1.314976453781128,
-0.4601677358150482,
-0.36596572399139404,
-0.0560610368847847,
-1.83616042137146,
-0.400593101978302,
0.27347368001937866,
0.2709588408470154,
-0.38338547945022583,
0.11061754822731018,
0.3181915283203125,
-1.1877708435058594,
0.1535816192626953,
... |
In this task, you will be presented with a question, and you have to write the part-of-speech tag for each word in the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposi... | WP NN VBD NNP VB IN DT JJ NN NN IN NNP CD .
| 5 | NIv2 | task345_hybridqa_answer_generation | fs_opt | [
0.11526991426944733,
0.3216109871864319,
-0.652898907661438,
0.32462620735168457,
-0.09421885013580322,
-0.3115449547767639,
1.1626616716384888,
0.3262695074081421,
0.17886510491371155,
-0.34237056970596313,
-0.3119192123413086,
0.8904823064804077,
-0.6380100250244141,
-0.13815656304359436... |
Detailed Instructions: Given a document, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link].
See one example below:
Problem: Verify if the sentiment of the following document towa... | no | 4 | NIv2 | task423_persent_document_sentiment_verification | fs_opt | [
-0.7130060195922852,
0.4381170868873596,
0.06896604597568512,
-0.06784085929393768,
0.2273222804069519,
-0.29063665866851807,
0.5753692388534546,
0.5741541385650635,
-0.12236933410167694,
0.20460093021392822,
-0.07892107963562012,
0.803281307220459,
0.05126107484102249,
0.02511820755898952... |
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 passage and a question regarding that passage. You must determine whether or not the question is answerable from the given passage. If a question is answerable, output s... | True | 0 | NIv2 | task349_squad2.0_answerable_unanswerable_question_classification | fs_opt | [
0.621647834777832,
0.14580246806144714,
-1.1826478242874146,
0.34088754653930664,
-0.06402574479579926,
-0.7149950265884399,
0.00459261005744338,
0.840012788772583,
0.1662195920944214,
0.3552539348602295,
-0.4530785083770752,
0.6465302109718323,
-0.6250832080841064,
-0.21951496601104736,
... |
Instructions: Given a premise, an initial context, an original ending, and a new ending, the task is to generate the counterfactual context that is aligned with the new ending. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and the second sentence, which is the initial co... | was excited to be new, she was rather nervous. | 3 | NIv2 | task270_csrg_counterfactual_context_generation | zs_opt | [
-0.07403448224067688,
0.24672159552574158,
0.15335369110107422,
0.12355123460292816,
0.06707538664340973,
-1.2339081764221191,
-0.6301617622375488,
0.9731665849685669,
-0.4143269658088684,
-0.17797493934631348,
-0.39186370372772217,
-0.5857968926429749,
0.18211877346038818,
-0.091733910143... |
Detailed Instructions: In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given a candidate for the second sentence and you need to identify if the given sentence connects the first sentence with the rest of the story. Indicate your answer by "Yes" ... | Yes | 9 | NIv2 | task066_timetravel_binary_consistency_classification | zs_opt | [
-0.39353513717651367,
0.6458291411399841,
0.02954437956213951,
-0.2365635484457016,
-0.045535363256931305,
-0.28103742003440857,
0.30917659401893616,
1.0391026735305786,
0.14600981771945953,
0.5899449586868286,
-0.451987087726593,
-0.12999004125595093,
-0.14982375502586365,
-0.168116554617... |
Part 1. Definition
In this task, you are given one French sentence. The major part of the sentences talk about health-related topics, but some of the them describe an organization and its activities. Your job is to translate the given sentences into English.
Part 2. Example
La LGV est très rare en Europe.
Answer: LGV i... | Babies less than six months old do not cough, but they manifest shortness of breath and severely deficient supply of oxygen to the body (asphyxia) and are the most likely to die of the disease unless they receive suitable treatment. | 7 | NIv2 | task1397_europa_ecdc_tm_fr_en_translation | fs_opt | [
-0.5051628351211548,
0.4670935273170471,
0.07310941815376282,
-0.5679025650024414,
0.0065217395313084126,
-0.07545500993728638,
0.8344805240631104,
-0.0170222669839859,
0.053926482796669006,
-0.4007309675216675,
-0.6170237064361572,
0.1198769360780716,
-0.5740823745727539,
0.61986744403839... |
In this task, you are given a question and an answer, you would be asked to create the sentence based on the Question-Answer provided. It should be contained within the Question-Answer provided.
Q: Question: Of the nine classes of vertebrates, how many are fish? Answer: five
A: Of the nine classes of vertebrates, fiv... | One of the properties of an air mass is that an air mass has similar temperature and moisture properties throughout it.
****
| 4 | NIv2 | task1556_scitail_passage_generation | fs_opt | [
0.18259090185165405,
0.09511872380971909,
-0.7269293069839478,
-0.507942795753479,
-0.2802441716194153,
-0.8251513242721558,
0.9306285977363586,
0.09526753425598145,
-0.5973738431930542,
0.038668736815452576,
-0.1718387007713318,
-0.5800915956497192,
-1.2405022382736206,
0.4675439596176147... |
Q: In this task, you're given an article and an answer. Your task is to generate the question for the answer based on the given article.
Article: I happened to think about IQ and EQ on my way home this afternoon. So, I'd like to try to say something about them. Due to the nation's family planning policy, usua... | Which of the following is NOT a characteristic of a high EQ? | 7 | NIv2 | task311_race_question_generation | zs_opt | [
-0.48774904012680054,
0.3920272886753082,
0.3474491238594055,
-0.18875321745872498,
0.37727880477905273,
-0.1179349422454834,
0.015733474865555763,
0.8033486008644104,
0.48483020067214966,
-0.34547173976898193,
-0.20191723108291626,
0.740699052810669,
-1.3098156452178955,
0.433767616748809... |
Teacher:Given a sentence and two mentions from the text (arguments), indicate a phrase (a verb or noun phrase) that describes the relationship between the provided arguments.
Teacher: Now, understand the problem? Solve this instance: Sentence: 'But Vancouver is not Canada 's wettest major city .', Argument/Subject 1: '... | be city of | 6 | NIv2 | task676_ollie_relationship_answer_generation | zs_opt | [
-0.5832408666610718,
0.4579557478427887,
0.17541533708572388,
-1.0217230319976807,
-0.5492153167724609,
-1.0333633422851562,
0.15110643208026886,
1.381870150566101,
0.23967023193836212,
-0.25986912846565247,
0.08541757613420486,
0.1454293429851532,
-0.41465872526168823,
0.07783552259206772... |
instruction:
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" based on your... | Inversion
| 9 | NIv2 | task428_senteval_inversion | fs_opt | [
-0.16699716448783875,
0.2672591209411621,
0.06982417404651642,
-0.2074609100818634,
-0.20084549486637115,
-0.09695806354284286,
0.5232685804367065,
0.37915417551994324,
0.6114261150360107,
-0.3931407630443573,
-1.257746696472168,
-0.8390368223190308,
-0.3049657344818115,
-0.150922581553459... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence or phrase in English. You must translate it to Xhosa in a way that is equivalent in terms of meaning and grammatically correct.
There are a number of methods which can be used when trying to locate an ob... | Kukho iindlela ezininzi ezinokusetyenziswa xa kuzanywa ukufunyanwa into esentseleni yolwandle. | 1 | NIv2 | task872_opus_xhosanavy_translation_eng_xhosa | zs_opt | [
-0.1263217031955719,
0.1989317238330841,
-0.4868205785751343,
-0.453969269990921,
-0.1941896677017212,
-0.21778786182403564,
1.145727276802063,
0.2298162430524826,
0.1532782018184662,
-0.2649114727973938,
0.05127035826444626,
-0.5650138854980469,
-0.22816677391529083,
0.05250085890293121,
... |
Teacher:In this task you will break down a question into the basic steps required to answer it.
A question decomposition is a numbered list of operations that must be performed to answer the original question. Imagine explaining your question to a friendly droid by listing each action it should take in order for the q... | #1 return flights
#2 return #1 from boston
#3 return #2 to san francisco | 6 | NIv2 | task176_break_decompose_questions | zs_opt | [
0.9951237440109253,
-0.21495981514453888,
-0.7396578192710876,
0.5042032599449158,
-0.005460810847580433,
-0.5261549353599548,
1.134903073310852,
0.2641863226890564,
-0.3123522996902466,
0.3918505907058716,
-0.3535497188568115,
0.4577568471431732,
0.025532063096761703,
0.25471946597099304,... |
Teacher: Given a sentence in Bulgarian, generate a new Bulgarian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probab... | Ефектът от определянето на истината е разкриването на фактите. | 2 | NIv2 | task415_mickey_bg_sentence_perturbation_generation | fs_opt | [
0.21951410174369812,
0.23854321241378784,
-0.33050334453582764,
-0.6433663368225098,
-0.30132293701171875,
-0.8492466807365417,
0.9391248226165771,
1.2269034385681152,
0.835489809513092,
-0.1336514949798584,
0.035576194524765015,
0.5704243183135986,
-0.34797388315200806,
-0.32565838098526,... |
Teacher: 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 corpus ... | . | 2 | NIv2 | task1168_brown_coarse_pos_tagging | fs_opt | [
0.6739356517791748,
-0.06195087730884552,
-0.26269757747650146,
0.12584275007247925,
0.07620869576931,
-0.5848830342292786,
0.76268470287323,
1.1218029260635376,
-0.3338244557380676,
0.08714129775762558,
-0.5205100178718567,
0.1579899787902832,
-0.6547704935073853,
0.34559041261672974,
0... |
Definition: In this task, you are given dialogue, and you have to find the most critical location in the given conversation.
Input: Hi, can you tell me about Minneapolis and the Media
Minneapolis is a city in Minnesota. It is located next to St. Paul.
Great to know can you tell me more about the media of Minneapoli... | Minneapolis | 2 | NIv2 | task578_curiosity_dialogs_answer_generation | zs_opt | [
0.20622268319129944,
0.18369793891906738,
0.36595261096954346,
0.15653300285339355,
0.5112256407737732,
0.58712238073349,
-0.1153571754693985,
1.2393896579742432,
-0.13306032121181488,
0.09511375427246094,
0.05476098507642746,
0.08574584126472473,
-0.5967260599136353,
-0.10867688804864883,... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | Solution: Yes | 5 | NIv2 | task1202_atomic_classification_xneed | fs_opt | [
1.5031611919403076,
0.1419813632965088,
0.1365608125925064,
0.08371642231941223,
-0.16172635555267334,
-1.0835720300674438,
1.3941510915756226,
0.7778110504150391,
-1.0341978073120117,
-0.4240519106388092,
-0.5210527181625366,
-0.17245888710021973,
-0.7519999146461487,
0.32163724303245544,... |
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... | Yes
| 1 | NIv2 | task357_casino_classification_negotiation_small_talk | fs_opt | [
0.35039132833480835,
0.43488773703575134,
-0.7437834739685059,
0.1511840969324112,
-0.5824637413024902,
-1.1845695972442627,
0.6650571823120117,
0.7622894048690796,
-0.37756478786468506,
0.2180345356464386,
0.09312852472066879,
0.31586477160453796,
-0.9807127714157104,
0.04625387862324715,... |
Instructions: In this task, you are provided with an article of the legal acts. Your task is to classify it into three categories (Regulation, Decision and Directive) based on its content: 1) Regulation is a binding legislative act that must be applied in its entirety on a set date across all the member states (Europea... | Regulation | 3 | NIv2 | task744_eurlex_classification | zs_opt | [
-0.044589608907699585,
0.2992256283760071,
0.18521469831466675,
0.18033814430236816,
0.11510670930147171,
0.09267203509807587,
0.01966973952949047,
1.116204023361206,
-0.4865378439426422,
0.2772061228752136,
-0.6847882866859436,
0.23380181193351746,
0.19422605633735657,
-0.3463771939277649... |
Given the task definition and input, reply with output. In this task, you're given five sentences, numbered 1 through 5. Your job is to generate a title for the story that makes complete sense. The title must be short, with less than three words, use simple language, and include the main topic of the story.
Sentence 1... | Reuniting | 5 | NIv2 | task219_rocstories_title_answer_generation | zs_opt | [
-0.45750391483306885,
0.7821075916290283,
0.5379152297973633,
-0.4777079224586487,
0.16284571588039398,
0.18547064065933228,
0.36218535900115967,
0.36008408665657043,
0.12155655026435852,
0.11512305587530136,
-0.9329885840415955,
-0.3915015459060669,
-0.43364331126213074,
0.117157243192195... |
Detailed Instructions: Given a sentence in Igbo language, translate the sentence to English language keeping the meaning of the original sentence intact
Problem:Igbo sentence: 2 M'gākpọku Chineke Onye kachasi ihe nile elu; M'gākpọku Chineke Onye nēmezurum ihe.
Solution: | 2 I will cry unto God most high; unto God that performeth all things for me. | 8 | NIv2 | task449_opus_paracrawl_ig_en_translation | zs_opt | [
-0.10957978665828705,
0.2531827688217163,
0.18076026439666748,
-0.5867525339126587,
-0.12770046293735504,
-1.3065359592437744,
0.038846705108881,
0.22561390697956085,
0.4467974901199341,
-0.5565004348754883,
-0.5940663814544678,
-0.32847481966018677,
-1.0971989631652832,
-0.077267818152904... |
Teacher:The task is to generate text based of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons emotional reaction to the event, i.e. how that person feels after doing the action.
Teacher: Now, understand the problem? Solve this ... | weird | 6 | NIv2 | task1595_event2mind_text_generation_1 | zs_opt | [
-0.5792162418365479,
0.28585007786750793,
0.32379600405693054,
-0.966452956199646,
-0.6789489388465881,
-0.662712037563324,
0.5935013890266418,
0.9145256280899048,
-0.10892990231513977,
-0.13372986018657684,
0.020929694175720215,
0.1824781745672226,
-0.6156895756721497,
-0.2887507081031799... |
Q: This task is to translate a news commentary given in English language into French language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
Moreover, the alternatives to nuclear energy – and to foss... | De plus, les alternatives à l’énergie nucléaire – et aux combustibles fossiles – sont aujourd’hui mieux maîtrisées et plus durables. | 7 | NIv2 | task1371_newscomm_translation | zs_opt | [
-0.6249335408210754,
0.6249800324440002,
0.9036211967468262,
-0.11874908953905106,
0.009318424388766289,
-1.1175436973571777,
0.3934658169746399,
0.3742932081222534,
0.767929196357727,
0.20330744981765747,
0.14295269548892975,
-0.07418996095657349,
-0.46460044384002686,
-0.1756526827812194... |
Detailed Instructions: In this task, you're given a review from Amazon and your task is to generate the name of the category of the product based on the review given by the user. The categories are: kitchen, office product, watch, wireless, other, toy, digital video download, camera, jewelry, pet products, sports, indu... | shoes | 9 | NIv2 | task617_amazonreview_category_text_generation | zs_opt | [
-0.00879167765378952,
-0.18506455421447754,
-0.8140915036201477,
0.3847872018814087,
0.07084652036428452,
0.31457802653312683,
0.005672096740454435,
0.24006707966327667,
-0.05786525458097458,
0.19883981347084045,
-0.05294831097126007,
0.6719207763671875,
-0.034659501165151596,
-0.358307451... |
Detailed Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Farsi.
Q: Como sei que consegues ver, está uma fantástica ovação de pé no TED.
A: | همانطور که میدانم می توانی ببینی ، تحسین و تشویق بسیار جذابی در TED (برای توست) | 9 | NIv2 | task1282_ted_translation_pt_fa | zs_opt | [
-0.2173207402229309,
0.9907538890838623,
0.2391149401664734,
0.390167236328125,
-0.02001422457396984,
-0.4749268889427185,
-0.3244932293891907,
0.744187593460083,
0.6770374774932861,
0.3106754422187805,
-0.1536622792482376,
-0.6739498972892761,
-0.3738744258880615,
0.383491575717926,
0.0... |
Definition: 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 t... | (2, 3) | 2 | NIv2 | task089_swap_words_verification | zs_opt | [
-0.2917390763759613,
0.6630751490592957,
-0.17195306718349457,
-0.5755701661109924,
-0.024023329839110374,
-0.23395207524299622,
0.49017927050590515,
0.3719477951526642,
0.25741785764694214,
-0.2539343535900116,
-0.17960402369499207,
-0.2577991485595703,
-0.2945818305015564,
0.308375000953... |
Teacher: In this task, you are given a sentence from the research paper and the category to which it belongs. Your task is to classify whether the given category is correct or not by providing "True" and "False", respectively. Here are the definitions for the categories: Background (Why is this problem important? What ... | False | 2 | NIv2 | task1164_coda19_section_correction_classification | fs_opt | [
-0.014892393723130226,
0.307058185338974,
-0.032598234713077545,
-0.1727742701768875,
0.349589467048645,
-0.3899220824241638,
-0.38961637020111084,
1.3206287622451782,
-0.04847180098295212,
0.24803601205348969,
-0.9551015496253967,
0.17395825684070587,
-0.09205281734466553,
0.1040288954973... |
Q: You are given a concept, and a list of answers. You should generate a question about the concept that leads to the given answer(s).
concept: Padme Amidala answers: ['Catherine Taber']
A: | who plays princess padme in star wars? | 7 | NIv2 | task1602_webquestion_question_genreation | zs_opt | [
0.4957733154296875,
0.6368774771690369,
-0.798819899559021,
-0.2725120484828949,
0.24843673408031464,
-1.4508461952209473,
0.839729905128479,
0.4013041853904724,
0.6173863410949707,
-0.31806573271751404,
-0.039900876581668854,
0.03594530373811722,
-1.2379618883132935,
-0.37835919857025146,... |
Given the task definition and input, reply with output. In this task, you will be shown a passage. You need to write a fill-in-the-gap question based on your understanding of the events that might be inferred from the passage. Your question should be answerable based on the passage and only have one correct answer. Sho... | However, a judge at Manchester Magistrates’ _ has now cleared him of any wrongdoing, saying it was not certain that Mr Anderson 'went on not caring whether she was hurt or not'. | 5 | NIv2 | task301_record_question_generation | zs_opt | [
0.14008624851703644,
0.6393187046051025,
-0.4693153202533722,
-0.025936530902981758,
0.4654281735420227,
0.5846399068832397,
0.31707000732421875,
0.4651099443435669,
0.30145949125289917,
0.08368349820375443,
-0.04358074814081192,
0.36923134326934814,
-1.1935598850250244,
0.0538788586854934... |
You are given a statement written in Panjabi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Statement: ਜ਼ਾਮੇਨਹੋਫ <MASK> ਦੇ ਸ਼ਹਿਰ ਪੈਰਿਸ ਵਿੱਚ ਸਨ ਜੱਦ 1914 ਵਿੱਚ ਪਹਿਲੀ ਆਲਮੀ ਜੰਗ ਸ਼ੁਰੂ ਹੋ ਗਈ। ਕਿਉਂ ਕਿ ਜਰਮਨੀ ਅਤੇ ਰੂ... | ਤੇਲੰਗਾਨਾ
| 0 | NIv2 | task952_wiki_cloze_pa_multiple_choice_question_answering | fs_opt | [
1.0923720598220825,
0.4414532780647278,
-0.04303303360939026,
-0.05913779139518738,
0.3324313461780548,
0.024478666484355927,
0.5752859115600586,
0.46971794962882996,
0.7306107878684998,
0.9480075836181641,
-0.3846345841884613,
0.14252981543540955,
-0.8563148379325867,
-0.540345311164856,
... |
In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: personal or non-personal depending on the topic... | personal | 0 | NIv2 | task1490_bengali_personal_hate_speech_binary_classification | zs_opt | [
-0.6200155019760132,
0.0565854050219059,
0.15418973565101624,
0.2829477787017822,
-0.3864750266075134,
-0.20122495293617249,
-0.05324118956923485,
0.07614998519420624,
-0.5120804905891418,
-0.0749342292547226,
-0.5392082929611206,
-0.4996090531349182,
-0.1410738229751587,
-0.49030634760856... |
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