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 |
|---|---|---|---|---|---|---|
Instructions: Given news headlines, an edited word and funniness labels. The original sentence has word with the given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Your task is to generate answer "Yes" if an edited sentence matches funniness label, otherwise generate ... | No | 3 | NIv2 | task496_semeval_answer_generation | zs_opt | [
-0.7081595659255981,
0.12923943996429443,
0.011528762988746166,
0.2814487814903259,
-0.263805091381073,
-0.803966760635376,
-0.3579229712486267,
0.8837134838104248,
0.29272937774658203,
-0.36679795384407043,
-0.4437638521194458,
-0.4691966772079468,
-0.6505105495452881,
0.01062434911727905... |
Detailed Instructions: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Problem:A total of 27 different genres were scraped.
Question: how many movie genres do they explore?
Solution: | 27 | 8 | NIv2 | task460_qasper_answer_generation | zs_opt | [
-0.4454728364944458,
0.3519774079322815,
-0.06947224587202072,
0.2828094959259033,
-0.1835820972919464,
0.27123844623565674,
-0.3057909905910492,
-0.045953553169965744,
0.12892159819602966,
-0.43854114413261414,
0.19296734035015106,
-0.33352333307266235,
-0.7343939542770386,
0.104420050978... |
Q: You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
which movies are about stupid main character?
A: | Into the Wild, Spider-Man 3, Meet the Parents, West Side Story, The Last Song, The Brothers Bloom | 7 | NIv2 | task615_moviesqa_answer_generation | zs_opt | [
-0.8274677991867065,
1.073188066482544,
0.021638039499521255,
-0.22635556757450104,
-0.43014830350875854,
0.3127363622188568,
0.8123846054077148,
-0.35099220275878906,
-0.05322287976741791,
-0.1780407577753067,
-0.6156713366508484,
-0.48346859216690063,
-0.28387707471847534,
-0.39611756801... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a sentence in the English language and your task is to convert it into the Japanese language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun... | 衡陽市とチン州市の4万人の人は孤立していると伝えられた。 | 1 | NIv2 | task435_alt_en_ja_translation | fs_opt | [
0.018346235156059265,
0.7027627825737,
-0.02561347931623459,
0.2750333249568939,
0.28935182094573975,
0.09772840142250061,
0.20128794014453888,
0.5981905460357666,
0.07423542439937592,
-0.4823526442050934,
-0.4623277187347412,
0.27788692712783813,
-0.09723237156867981,
0.22633683681488037,... |
Part 1. Definition
Generate an appropriate title for the given text. The generated title must be short and include the main topic of the text. The preferred titles are under fifteen words.
Part 2. Example
But Eluned Morgan conceded that it would be "difficult for us to stop" from a legal point of view. Her comments wer... | Lightning strike sets house on fire in Gowerton, Swansea | 7 | NIv2 | task1356_xlsum_title_generation | fs_opt | [
0.7109326720237732,
1.4414522647857666,
0.15713217854499817,
-0.49505382776260376,
0.7663509845733643,
-0.5093607306480408,
0.18617978692054749,
0.5507042407989502,
-0.5451699495315552,
0.3829081952571869,
0.35303962230682373,
0.7773618698120117,
-0.4518221914768219,
0.36722931265830994,
... |
In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of the lists in the input list.
Input: Consider Input: [[27, -16, -10, -15], [-44... | Output: [828, 256, -52500, -10368, 16416, -13160]
| 2 | NIv2 | task371_synthetic_product_of_list | fs_opt | [
0.34607720375061035,
-0.028840115293860435,
-1.0130951404571533,
-0.2141677439212799,
-0.03696967661380768,
-0.43782830238342285,
1.2352694272994995,
0.6754193305969238,
-0.7166339159011841,
-0.14626944065093994,
-1.0186834335327148,
0.21324488520622253,
-0.7724156379699707,
-0.47086751461... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Sentence 2 contradicts sentence 1. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to c... | man got flat tire | 4 | NIv2 | task185_snli_contradiction_to_neutral_text_modification | zs_opt | [
-0.49870049953460693,
0.3409982919692993,
0.44956186413764954,
-0.2972526550292969,
0.10141946375370026,
-0.5978514552116394,
-0.2146228849887848,
0.9038305282592773,
0.20374789834022522,
0.0528445802628994,
-1.387948751449585,
-0.44476786255836487,
-0.30549150705337524,
0.0553232058882713... |
You will be given a definition of a task first, then some input of the task.
In this task, you need to reverse all words of a given length in the sentence. The number of letters in a word determine its length. For example, the length of the word "apple" is 5.
Sentence: 'a red doubledecker bus stopped on the street'. R... | a der doubledecker sub stopped on eht street | 1 | NIv2 | task378_reverse_words_of_given_length | zs_opt | [
-0.45270979404449463,
0.415914922952652,
0.047775428742170334,
-0.5897552371025085,
-0.10348065942525864,
0.37975049018859863,
0.6960412859916687,
0.25921791791915894,
0.317521333694458,
-0.18775030970573425,
-1.464820146560669,
-0.1850869059562683,
-0.009732012636959553,
-0.32210063934326... |
This task is about writing a correct answer for the reading comprehension task. Based on the information provided in a given passage, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justificati... | the Banu Qaynuqa tribe | 0 | NIv2 | task075_squad1.1_answer_generation | zs_opt | [
0.6360317468643188,
1.021970272064209,
-0.4957469403743744,
0.1613914668560028,
-0.4294140934944153,
-0.5862860083580017,
0.1474451720714569,
0.3406519591808319,
0.4692509174346924,
0.17097312211990356,
-0.5566578507423401,
0.5194209814071655,
-1.5492925643920898,
-0.6189124584197998,
1.... |
Given the task definition and input, reply with output. Given a sentence in French, generate a new French 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 plausi... | Nous pouvons nous adoucir du suicide en fermant la porte. | 5 | NIv2 | task406_mickey_fr_sentence_perturbation_generation | zs_opt | [
-0.13464441895484924,
1.4100315570831299,
0.3793395757675171,
-0.21867452561855316,
-0.2002316117286682,
-0.11894826591014862,
0.39115798473358154,
0.8174004554748535,
0.40476250648498535,
-0.11304090917110443,
-1.1142164468765259,
0.14571967720985413,
-0.6080852746963501,
-0.3062874078750... |
Definition: Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
Input: Who took over from Dermot Murnaghan as host of BBC2's Eggheads?
Output: | eggheads | 2 | NIv2 | task899_freebase_qa_topic_generation | zs_opt | [
0.39027974009513855,
0.028530946001410484,
0.24338915944099426,
-0.4258246123790741,
-0.4383930265903473,
-0.8281934261322021,
0.21529828011989594,
-0.19389334321022034,
0.08406762778759003,
-0.7631726264953613,
-1.0475367307662964,
1.038455605506897,
-1.1232247352600098,
0.731523334980011... |
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: According to the english system measurement, how much is equal to 2 pints, 1 quart, and ¼ of a gallon? Answer: ... | In a pedigree chart the squares shape symbolizes males.
****
| 4 | NIv2 | task1556_scitail_passage_generation | fs_opt | [
-0.004205239005386829,
1.8956882953643799,
-0.30828309059143066,
-0.277129203081131,
-0.08748778700828552,
-0.6686060428619385,
0.2128087282180786,
0.12419693171977997,
-0.12574303150177002,
-0.6479179859161377,
-0.29135027527809143,
0.2500447630882263,
-0.3121291995048523,
0.0782746300101... |
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 Italian.
انظروا الى العالم المالي اليوم على سبيل المثال
Output: | Pensate, per esempio, al mondo finanziario. | 1 | NIv2 | task1106_ted_translation_ar_it | zs_opt | [
-0.5274267196655273,
0.9227481484413147,
-0.14816711843013763,
-0.007212117314338684,
-0.464998334646225,
0.11489486694335938,
0.2285071611404419,
1.0153048038482666,
0.19601601362228394,
0.15394997596740723,
-0.6624544262886047,
0.06266818940639496,
-0.23833836615085602,
0.167352750897407... |
In this task if the pronoun is male or gender-neutral you are to replace it with a female pronoun. If there are no pronouns add a female-gendered word to the sentence.
same here, do you like pink cars? | Same here,do you like cars? | 0 | NIv2 | task1670_md_gender_bias_text_modification | zs_opt | [
-1.6682178974151611,
0.44703495502471924,
0.2472052425146103,
-0.04079747200012207,
-0.40284091234207153,
0.3031258285045624,
0.9615887403488159,
0.5226746201515198,
0.7998151779174805,
-0.14923329651355743,
-1.142467737197876,
-0.7251349091529846,
-0.2617620825767517,
-0.2547638416290283,... |
Teacher: A text is given in Gujarati. Translate it from the Gujarati language to the Hindi language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? If you are still confused, see the following example:
તેમણે કહ્યું કે ભિલાઈ સ્ટીલ પ્લાન્ટે દેશના નિર્માણમા... | शिक्षा के क्षेत्र में और अन्य सामाजिक सरोकारों को लेकर भी उनके द्वारा किए गए कार्यों के लिए भी उन्हें याद किया जाता है। | 2 | NIv2 | task1033_pib_translation_gujarati_hindi | fs_opt | [
-0.574439287185669,
0.5471583604812622,
-0.09423612058162689,
-0.3701091408729553,
-0.15275774896144867,
-1.1920086145401,
0.02823304571211338,
0.6519533395767212,
-0.7161269783973694,
-0.042433153837919235,
-0.6222123503684998,
-0.31982970237731934,
-0.03487713634967804,
-0.13598766922950... |
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 ... | PART | 6 | NIv2 | task583_udeps_eng_coarse_pos_tagging | zs_opt | [
0.8971275687217712,
0.3138372302055359,
0.020419541746377945,
-0.06541354954242706,
-0.058939218521118164,
-0.7732547521591187,
0.8503855466842651,
0.9202628135681152,
-0.45572227239608765,
-0.1301121711730957,
-0.2534526586532593,
0.38686490058898926,
-0.743105411529541,
0.543432116508483... |
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 letter in a ... | mab | 8 | NIv2 | task088_identify_typo_verification | fs_opt | [
-0.5137938261032104,
0.3825267255306244,
-0.03446397930383682,
0.40872183442115784,
0.20055970549583435,
-1.1551823616027832,
0.6915414333343506,
0.27250418066978455,
-0.02393769845366478,
0.3007168471813202,
-0.3888282775878906,
-0.6363527774810791,
-0.4835510551929474,
-0.034778200089931... |
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 ... | The sheep belonging to PersonX had shorter fur than those belonging to PersonY because _ never sheared theirs. | 4 | NIv2 | task035_winogrande_question_modification_person | zs_opt | [
0.6818234920501709,
-0.028700225055217743,
-0.20036324858665466,
0.13881489634513855,
0.21439558267593384,
-0.8845441341400146,
1.5218173265457153,
0.7818689346313477,
-0.6378985643386841,
-0.5893552303314209,
-0.37953728437423706,
0.21848297119140625,
-1.013269305229187,
0.538121819496154... |
Translate from English to Hindi.
--------
Question: Take hot water.
Answer: गर्म पानी ले लो.
Question: I could see why some of the boys took him for snobby.
Answer: मैं समझ सकता था क्यों कुछ लड़के उसे नकचढा समझते थे.
Question: Do you think you'll ever get out of here?
Answer: | क्या तुम्हें लगता है कभी यहाँ से निकलोगे?
| 7 | NIv2 | task1329_open_subtitles_en_hi_translation | fs_opt | [
0.24704056978225708,
0.483188658952713,
0.12819983065128326,
-0.27354010939598083,
-0.23539328575134277,
-1.7913097143173218,
0.35798346996307373,
0.06905537843704224,
0.1682719886302948,
0.02672744169831276,
0.029482336714863777,
0.4139266610145569,
-1.5477259159088135,
-0.550447285175323... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Japanese.
Entretanto, o doente continua deitado na mesa de cirurgia. | 患者は手術台の上にいて | 0 | NIv2 | task1275_ted_translation_pt_ja | zs_opt | [
0.028387904167175293,
0.6286017894744873,
-0.6153285503387451,
-0.5793923139572144,
0.21397832036018372,
0.5950639843940735,
0.31722742319107056,
0.5724523067474365,
0.36830756068229675,
-0.3799962103366852,
0.1636771857738495,
0.1518436074256897,
0.33731433749198914,
1.0274081230163574,
... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to classify the genre of the sentences from the 10 options displayed. Indicate your answer by entering the number of the choice as 1-10.
Ex Input:
Sentence 1: Scottish banking has long been held in high regard, and it still plays an... | 5
| 1 | NIv2 | task198_mnli_domain_classification | fs_opt | [
-0.12031916528940201,
-0.05253138765692711,
0.08393882215023041,
-0.44347473978996277,
0.16364407539367676,
-0.32246261835098267,
0.6294479370117188,
0.8709423542022705,
-0.2709518373012543,
-0.20028966665267944,
-0.24993884563446045,
0.31609252095222473,
-0.23164433240890503,
-0.166450113... |
Given a scientific passage and an answer, generate a question for the given answer.
One example is below.
Q: Passage: A frameshift mutation is a deletion or insertion of one or more nucleotides that changes the reading frame of the base sequence. Deletions remove nucleotides, and insertions add nucleotides. Consider th... | What type of bond generally forms between a metal and non-metal? | 9 | NIv2 | task594_sciq_question_generation | fs_opt | [
0.7927630543708801,
0.09383662045001984,
-0.9489210844039917,
0.2618217468261719,
0.15310382843017578,
-0.4229256808757782,
0.5862776041030884,
1.16642427444458,
0.012038697488605976,
0.10160671919584274,
-0.5930611491203308,
0.02554384246468544,
-0.8410300016403198,
-0.18633973598480225,
... |
Given the task definition and input, reply with output. 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".
Laura made a giant caramel sundae for Lindsey because _ loved eating different kinds of desserts.... | B | 5 | NIv2 | task1391_winogrande_easy_answer_generation | zs_opt | [
-0.446697473526001,
1.1401243209838867,
0.7946104407310486,
-0.3164927661418915,
-0.5631316304206848,
0.5293203592300415,
0.1960030198097229,
0.415495902299881,
0.012762216851115227,
-0.46575120091438293,
0.5383131504058838,
0.5891725420951843,
0.13309240341186523,
-0.10572519153356552,
... |
In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.
Example Input: گفتند: «اى لوط، ما فرستادگان پروردگار توییم. آنان هرگز به تو دست نخواهند یافت. پس، پاسى از شب گذشته خانوادهات را حرکت ده -و هیچ کس از شما نباید واپس بنگرد- مگر زنت، که آنچه به ایشان رسد به ا... | We surely tried Solomon, and placed another body on his throne. So he turned to God
| 3 | NIv2 | task657_quran_fa_en_translation | fs_opt | [
-0.6023479104042053,
1.2240318059921265,
-0.20560608804225922,
-0.7044519186019897,
-1.0641121864318848,
-0.20666219294071198,
1.1597881317138672,
0.42479363083839417,
0.12855681777000427,
-0.16849544644355774,
-0.837180495262146,
1.2827327251434326,
-0.7397209405899048,
-0.088103249669075... |
Teacher:Turn the given fact into a question by a simple rearrangement of words. This typically involves replacing some part of the given fact with a WH word. For example, replacing the subject of the provided fact with the word "what" can form a valid question. Don't be creative! You just need to rearrange the words to... | When does the northern hemisphere receive the least amount of direct sunlight? | 6 | NIv2 | task040_qasc_question_generation | zs_opt | [
0.3542393445968628,
0.8216655254364014,
0.2503224015235901,
-0.254244863986969,
-0.9270106554031372,
-0.9236878752708435,
0.7174407243728638,
0.9297162294387817,
0.12732601165771484,
-0.7442613840103149,
-0.8923065066337585,
-0.21678756177425385,
-0.7691918015480042,
-0.10719974339008331,
... |
Part 1. Definition
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Portugese.
Part 2. Example
Y puede expresar desde admiración y codicia, hasta ansiedad y angustia.
Answer: Podem assim exprimir tudo desde admiração e desejo até ansiedade e angústia.
Explanation: The Spanish sent... | Vou trabalhar neste. (Risos) E vou fazer este aqui. "" Ele fez isto até que Sir Robert Peel, Primeiro Ministro na altura, basicamente o expulsou do nº 10 da Downing Street. E, nessa altura, uma expulsão era como dizer: "" Um bom dia para si, Senhor. "" (Risos) O que ele desenhou foi esta monstruosidade aqui, o motor an... | 7 | NIv2 | task1104_ted_translation_es_pt | fs_opt | [
-0.394666850566864,
0.9997492432594299,
0.7039202451705933,
-0.5540938973426819,
0.0051150014623999596,
-0.34024450182914734,
0.18707159161567688,
0.8875411152839661,
0.5900161266326904,
-0.5921149849891663,
-1.1468815803527832,
0.2931087613105774,
-0.2272210717201233,
0.12909504771232605,... |
Instructions: 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.
Input: Comment: its happening more frequently and in the meantime the clueless gu... | Non-insult | 3 | NIv2 | task328_jigsaw_classification_insult | zs_opt | [
-0.6298564672470093,
0.7913601398468018,
0.599593460559845,
0.03526303172111511,
0.08823546767234802,
-0.42394062876701355,
0.9544650316238403,
0.8009961843490601,
0.33410999178886414,
0.439810574054718,
-0.2528991997241974,
-0.1589062213897705,
-0.7854823470115662,
-0.234989196062088,
0... |
In this task, you are given text for US Congressional and California state bills, your task is to generate a summary for this bill.
One example is below.
Q: SECTION 1. LIABILITY OF BUSINESS ENTITIES PROVIDING USE OF FACILITIES
TO NONPROFIT ORGANIZATIONS.
(a) Definitions.--In this section:
(1) Business entity.--The... | (Sec. 4) Modifies CSA provisions regarding endangering human life while illegally manufacturing a controlled substance to: (1) set penalties for harm to the environment, if the controlled substance consists of methamphetamine; (2) provide for imprisonment for up to 40 years, as well as a possible fine, for violations; ... | 9 | NIv2 | task1658_billsum_summarization | fs_opt | [
0.5345765352249146,
0.2333735227584839,
0.11157476156949997,
-0.06645502895116806,
0.44013193249702454,
-0.4709169864654541,
0.8385646939277649,
1.308948278427124,
-0.5057642459869385,
-0.12022438645362854,
-0.22186702489852905,
0.6420955061912537,
0.07860267907381058,
-0.29559576511383057... |
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 clear view tow... | Positive | 0 | NIv2 | task421_persent_sentence_sentiment_classification | zs_opt | [
-0.6520182490348816,
0.8289614915847778,
0.8346074819564819,
0.2667083144187927,
0.48120492696762085,
-1.418159008026123,
0.7169193625450134,
0.3905535936355591,
0.94561767578125,
-0.015721462666988373,
0.09991510212421417,
0.7040791511535645,
-0.39959198236465454,
-0.7996847033500671,
0... |
Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Arabic.
Input: Queríamos saber de dónde venían este tipo de errores.
Output: | أردنا معرفة ما المكان الذي هذا النوع من الأخطاء يأتي منه. | 3 | NIv2 | task1228_ted_translation_es_ar | zs_opt | [
-0.5506422519683838,
0.5834434628486633,
0.12976385653018951,
-0.820904552936554,
0.007847925648093224,
0.32900580763816833,
0.9637969732284546,
0.42323315143585205,
0.31255781650543213,
-0.1238984763622284,
-1.2213056087493896,
-0.631016731262207,
-0.9778191447257996,
0.10636474192142487,... |
You are given a question and some answer options (associated with "A", "B", "C", "D"). You should choose the correct answer based on commonsense knowledge. Avoid answering questions based on associations, the set of answers are chosen deliberately to capture common sense beyond associations. Do not generate anything el... | A | 4 | NIv2 | task073_commonsenseqa_answer_generation | zs_opt | [
0.1951446533203125,
0.6376989483833313,
-0.3866586685180664,
0.25693008303642273,
-0.19808664917945862,
-1.3577489852905273,
0.47112998366355896,
-0.03406791016459465,
-0.5223600268363953,
0.008031920529901981,
-0.06959716230630875,
0.14153316617012024,
-0.4350090026855469,
-0.598785638809... |
In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
Shabelle Media Network was NOT based in what city?, Context: Other radio stations based in Mogadishu include Mustaqbal Media corporation and the Shabelle Media Network, the latter of which was in 2... | 1866
| 0 | NIv2 | task1295_adversarial_qa_question_answering | fs_opt | [
0.6198660135269165,
0.4371575117111206,
-0.7593941688537598,
0.022417956963181496,
0.32752105593681335,
0.07209695875644684,
1.2639336585998535,
0.6391303539276123,
0.2702462673187256,
-0.1069595217704773,
-0.529687225818634,
0.7030805349349976,
-0.5910102128982544,
-0.6556029915809631,
... |
Detailed Instructions: In this task, you are given two sentences. Your task is to classify the given sentences as "Yes" if they have same meaning; otherwise, classify them as "No".
Q: Sentence-1: I'm not keen on mystery tales.<sep>Sentence-2: I like mystery stories .
A: | No | 9 | NIv2 | task566_circa_classification | zs_opt | [
-0.8574963212013245,
-0.21790635585784912,
0.4052507281303406,
-0.16769102215766907,
-0.3998611867427826,
-0.47615504264831543,
0.6821215748786926,
0.21158896386623383,
-0.00304751330986619,
-0.34415268898010254,
-0.33266377449035645,
-0.7790027856826782,
-0.7037476897239685,
-0.2557302117... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given two questions about a domain. Your task is to combine the main subjects of the questions to write a new, natural-sounding question. For example, if the first question is about the tallness of the president and the s... | Where were the places that this president and his wife were born? | 1 | NIv2 | task121_zest_text_modification | fs_opt | [
0.18844586610794067,
0.2573375999927521,
-0.3704840838909149,
0.2983763515949249,
0.39760980010032654,
0.11718966066837311,
0.7343581914901733,
0.9001755118370056,
-0.22106367349624634,
-0.34283655881881714,
-0.7193092107772827,
0.7886539697647095,
-0.35663536190986633,
0.27169573307037354... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Japanese.
--------
Question: آنها را در یک گلدان کوچک در پادری خود بکارید.
Answer: 玄関先の植木鉢や庭の芝生家の前の通りなどに植えてください
Question: برای همين تصميم گرفتم کتابی بنويسم ، از خاطراتم ، درباره اين دهه از زندگانی ام.
Answer: 私はこの10年についての自叙伝を書く決心... | 本当の意味での相互依存関係が存在し鳥の一羽一羽がどうやってか集団の利益が自分の利益だと理解しています鳥の一羽一羽がどうやってか集団の利益が自分の利益だと理解しています
| 7 | NIv2 | task1266_ted_translation_fa_ja | fs_opt | [
-0.312880277633667,
0.7540884613990784,
-0.8950417637825012,
0.3166491389274597,
-0.1958339512348175,
-0.4300921559333801,
1.5083829164505005,
-0.20471356809139252,
0.23528000712394714,
-0.731848955154419,
-0.9271225929260254,
0.8237856030464172,
-0.4300673007965088,
0.7411125302314758,
... |
You will be given a person's personality, and a history of a conversation this person has had. You will be given four candidate sentences to complete the conversation, based on the context. Choose one and answer with the text.
Example input: Personality: I like spending time with my friends and family.
I like listenin... | Can he say his abc? | 3 | NIv2 | task1730_personachat_choose_next | fs_opt | [
0.08391021192073822,
0.196474090218544,
-0.3694453239440918,
-0.2068423330783844,
0.10737547278404236,
-0.026498423889279366,
0.8788082003593445,
0.16602970659732819,
-0.595950722694397,
-0.5261295437812805,
-0.0261942520737648,
0.4217686057090759,
-0.3704642653465271,
0.049265481531620026... |
In this task, you are given an ambiguous question/query (which can be answered in more than one way) and a clarification statement to understand the query more precisely. Your task to classify that if the given clarification accurately clarifies the given query or not and based on that provide 'Yes' or 'No'.
Query: Te... | No
| 0 | NIv2 | task227_clariq_classification | fs_opt | [
-0.14322926104068756,
-0.09801360219717026,
-0.4308556318283081,
0.26084694266319275,
-0.23196998238563538,
-0.2802044749259949,
0.9535132050514221,
0.03253575414419174,
0.7022268772125244,
0.4070245027542114,
0.7036163806915283,
0.3310822546482086,
-1.1026344299316406,
-0.1840567141771316... |
You are provided with an "Event" and it's "Intent" related to PersonX. Determine the sentiment value of the given input as either "Positive", "Negative", and "Unknown".
[EX Q]: Event:PersonX needs to save money. Intent:
[EX A]: Unknown
[EX Q]: Event:PersonX flashes behind PersonY. Intent: 1) to be in control
[EX A]... | Negative
| 6 | NIv2 | task923_event2mind_classifier | fs_opt | [
-0.722563624382019,
0.38241255283355713,
0.3515702188014984,
-0.5532554984092712,
-0.3620758056640625,
-1.1236076354980469,
0.9781891107559204,
0.3319709002971649,
0.4642825424671173,
-0.05338522419333458,
-0.03470276668667793,
0.14344143867492676,
-0.7232011556625366,
-0.18558824062347412... |
Given a sentence, generate a new 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 true.
Example... | You are likely to find a place to recharge in hotel . | 3 | NIv2 | task413_mickey_en_sentence_perturbation_generation | fs_opt | [
0.11339782923460007,
0.04638538137078285,
-0.11248265206813812,
-0.5644329190254211,
-0.2779814600944519,
-1.068497896194458,
0.4826390743255615,
0.3830978274345398,
0.21550628542900085,
-0.4679747223854065,
-0.35187193751335144,
0.2090369462966919,
-1.218077540397644,
-0.09669341146945953... |
Teacher:In this task you will be given a list of integers. A list contains numbers separated by a comma. You need to round every integer to the closest power of 2. A power of 2 is a number in the form '2^n', it is a number that is the result of multiplying by 2 n times. The following are all powers of 2, '2, 4, 8, 16, ... | [32, 2048, 2048, 4096, 8, 64, 2, 128, 256, 2048, 1024, 32, 64, 4] | 6 | NIv2 | task1444_round_power_of_two | zs_opt | [
-0.6957530975341797,
0.921902060508728,
0.14681261777877808,
-0.5191182494163513,
-0.33947086334228516,
-0.066103495657444,
0.5402145385742188,
0.09928968548774719,
-0.16983413696289062,
0.09907196462154388,
-0.9965450167655945,
0.3288736343383789,
-0.1483689248561859,
-0.4928068518638611,... |
Part 1. Definition
The provided file includes inquiries about restaurants in Finnish, and we ask you to translate those to English language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We ar... | show me reviews for " dunkin ' donuts " from the last 8 days . | 7 | NIv2 | task254_spl_translation_fi_en | fs_opt | [
-0.62015700340271,
0.5323517322540283,
0.15856532752513885,
-0.07491803169250488,
-0.051182590425014496,
-0.2660040259361267,
0.6847828030586243,
0.948560357093811,
-0.46684524416923523,
-0.24950340390205383,
0.15918588638305664,
0.8910715579986572,
-0.39711588621139526,
0.7039661407470703... |
Definition: A text is given in Hindi. Translate it from the Hindi language to the Urdu language. The translation must not omit or add information to the original sentence.
Input: भगोड़ा आर्थिक अपराधी अधिनियम 2018 से आर्थिक अपराधियों की सम्पत्ति को जब्त करने में सहायता मिली
Output: | مفرور معاشی مجرمین ایکٹ سے معاشی مجرمین کی املاک کو ضبط کرنے میں مدد ملی ہے۔ | 2 | NIv2 | task1053_pib_translation_hindi_urdu | zs_opt | [
-0.4099752902984619,
0.3585142493247986,
-0.12424573302268982,
-0.3107662796974182,
-0.36421579122543335,
-0.8440794944763184,
0.5606164932250977,
0.5569729804992676,
-0.39157751202583313,
0.10168133676052094,
-1.1982903480529785,
-0.1968541145324707,
-0.2140919417142868,
-0.24891284108161... |
In this task, you're given an article, a question which often contains a blank, four options (associated with "A", "B", "C", "D") and the answer to that question. Your task is to classify whether the given answer is correct or not by providing "Yes" or "No", based on the article.
One example is below.
Q: Article: Homew... | Yes | 9 | NIv2 | task310_race_classification | fs_opt | [
0.4088384509086609,
0.3750876188278198,
-0.1050703153014183,
-0.38788068294525146,
0.5645458698272705,
-0.338112473487854,
1.2055397033691406,
0.7913905382156372,
-0.3661780059337616,
-0.1671609878540039,
-0.2992861270904541,
0.4913509488105774,
0.12596753239631653,
0.04740999639034271,
... |
Detailed Instructions: 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... | No | 4 | NIv2 | task1198_atomic_classification_owant | fs_opt | [
0.3903866112232208,
0.23945583403110504,
0.4430001676082611,
-0.06589929759502411,
-0.07636512815952301,
-0.7328467965126038,
0.6844705939292908,
0.5358705520629883,
-1.1432647705078125,
-0.21539190411567688,
-0.3396289050579071,
-0.5482670068740845,
-0.5393149256706238,
0.0714808553457260... |
Part 1. Definition
In this task, you need to count the occurrences of the given word in the given sentence.
Part 2. Example
Sentence: 'the brown cat sits perched on atop of the bed peering forward'. Count the occurrences of the word 'the' in the given sentence.
Answer: 2
Explanation: The word 'the' appears two times in... | 2 | 7 | NIv2 | task158_count_frequency_of_words | fs_opt | [
0.15621674060821533,
0.917982816696167,
-0.5245057940483093,
-0.4272644519805908,
-0.21179082989692688,
0.060365479439496994,
0.544500470161438,
0.11661438643932343,
0.14787441492080688,
-0.10734483599662781,
-0.8772372007369995,
0.19793614745140076,
-0.6704059839248657,
0.620507001876831,... |
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 Arabic. Your job is to translate the Arabic sentence into Galician.
ويوجد أساسا مرجل دوار.
Solution: É basicamente un caldeiro que rota.
Why? The Arabic sentence is corre... | Tes a historia do auditorio como unha comunidade. | 0 | NIv2 | task1105_ted_translation_ar_gl | fs_opt | [
-0.21371488273143768,
0.3791884779930115,
-0.0022492678835988045,
-0.3762427568435669,
0.16145601868629456,
0.07298959791660309,
1.0167940855026245,
-0.19351127743721008,
0.032638922333717346,
-0.3294646143913269,
-0.22746267914772034,
-0.5294720530509949,
-0.57587069272995,
0.235770016908... |
Instructions: Given a sentence in Igbo language, translate the sentence to English language keeping the meaning of the original sentence intact
Input: Igbo sentence: 13 Ha kutara ndi-Farisi onye ahu nke kpuru ìsì n'oge gara aga.
Output: | 13 They brought to the Pharisees him that aforetime was blind. | 3 | NIv2 | task449_opus_paracrawl_ig_en_translation | zs_opt | [
0.4783022999763489,
0.937690794467926,
0.09473398327827454,
-0.8521054983139038,
-0.3432595729827881,
-0.7747000455856323,
0.20134809613227844,
0.45983490347862244,
0.052503056824207306,
0.41162022948265076,
-0.6160135865211487,
0.20950737595558167,
-0.6035817861557007,
-0.0157070308923721... |
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 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 'Ha... | 0 | 0 | NIv2 | task1536_daily_dialog_happiness_classification | fs_opt | [
-0.06815648078918457,
-0.01053818129003048,
-0.07049382477998734,
0.098702572286129,
0.015956930816173553,
-0.12198887020349503,
1.0894098281860352,
0.12120501697063446,
0.3158086836338043,
-0.3565737009048462,
-0.051353972405195236,
-0.2352294921875,
-0.2699980139732361,
0.029491018503904... |
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... | Which U.S. government agency keeps a large amount of information on genomes?
| 3 | NIv2 | task074_squad1.1_question_generation | fs_opt | [
0.3990648090839386,
1.0767769813537598,
0.11197806894779205,
-0.010990247130393982,
0.24500785768032074,
-0.8512153625488281,
0.8421306014060974,
0.9741621017456055,
0.3427947461605072,
0.379061758518219,
-0.4003097414970398,
0.8713772892951965,
-0.7594237327575684,
0.17506945133209229,
... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Portugese.
Problem:The idea was to bring together some of Britain's greatest institutions, some international ones, and to create a new system of synergies.
Solution: | A ideia era juntar algumas das maiores instituições britânicas, outras internacionais, e criar um novo sistema de sinergias. | 8 | NIv2 | task1094_ted_translation_en_pt | zs_opt | [
0.604590892791748,
1.0392695665359497,
-0.02691640704870224,
-0.8465222716331482,
-0.27974769473075867,
-0.6467772126197815,
-0.22803640365600586,
0.3673247992992401,
0.8468703031539917,
-0.20448818802833557,
-0.08623145520687103,
0.6738768219947815,
-0.9894328117370605,
0.1045832633972168... |
In this task, you need to count the number of words in a sentence that start with the given letter. Answer with numbers and not words.
One example is below.
Q: Sentence: 'a hot dog in a bun with ketchup on a plate with french fries'. How many words start with the letter 'a' in the sentence.
A: 3
Rationale: The word 'a'... | 1 | 9 | NIv2 | task162_count_words_starting_with_letter | fs_opt | [
0.40211740136146545,
0.19756126403808594,
-0.3914705514907837,
-0.6747884750366211,
-0.31742215156555176,
-0.30236494541168213,
0.24858561158180237,
0.4054327607154846,
0.2008700668811798,
-1.2030149698257446,
-0.26168301701545715,
-0.48781394958496094,
-0.032348282635211945,
0.00206130044... |
In this task, a passage will be given and the goal is to generate a question about temporal relations based on that passage. A temporal relation describes the relation between two things with respect to time e.g., something happens/starts/terminates/... immediately/shortly/usually/... before/after/during/... something ... | What event has already finished? | 4 | NIv2 | task389_torque_generate_temporal_question | zs_opt | [
-0.5266067385673523,
0.7540169358253479,
-0.004408601205796003,
0.221492737531662,
-0.15485423803329468,
0.4806615114212036,
0.9142422676086426,
0.5391477346420288,
0.3505091071128845,
0.6359118223190308,
-0.2172233909368515,
0.6649775505065918,
-0.38414496183395386,
0.20404919981956482,
... |
Definition: In this task, you are given two statements. The task is to output whether a given textual premise, i.e. Statement 2, entails or implies a given scientific fact, i.e. Statement 1. The output should be 'entails' if Statement 2 supports Statement 1 and should be 'neutral' otherwise.
Input: Sentence 1: Dynamics... | entails | 2 | NIv2 | task1554_scitail_classification | zs_opt | [
-0.03807835280895233,
-0.19170741736888885,
0.2783677875995636,
0.11734312772750854,
0.012648439966142178,
-0.5683415532112122,
0.2545187175273895,
0.9044403433799744,
0.21372462809085846,
0.12563449144363403,
-1.196068286895752,
-0.4141644537448883,
-0.26157650351524353,
-0.23167553544044... |
You will be given a definition of a task first, then some input of the task.
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. P... | A | 1 | NIv2 | task385_socialiqa_incorrect_answer_generation | zs_opt | [
-0.16470938920974731,
0.04693519324064255,
-0.2707515358924866,
0.1462976187467575,
-0.0625317245721817,
0.4520725607872009,
0.6041717529296875,
0.6639041900634766,
-0.3208006024360657,
0.41644787788391113,
-0.7841421365737915,
0.3339237868785858,
-0.16747748851776123,
-0.3583262264728546,... |
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.
Q: PersonX traces PersonY's fingers
A: | happy to have a reason to touch person | 4 | NIv2 | task1595_event2mind_text_generation_1 | zs_opt | [
-0.3038540482521057,
0.4967152774333954,
-0.32065093517303467,
-0.5631817579269409,
-0.4675934910774231,
-0.32056254148483276,
1.4074945449829102,
0.3147399127483368,
0.25220730900764465,
-0.523351788520813,
0.48879122734069824,
0.5332857370376587,
-0.25081151723861694,
0.5030977129936218,... |
Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Hebrew.
Input: أطلقت بعطف مني على القارب اسم موبي.
Output: | קראתי לה בחיבה מובי. | 3 | NIv2 | task1233_ted_translation_ar_he | zs_opt | [
-0.15268491208553314,
-0.06951442360877991,
-0.5000234246253967,
-0.14640530943870544,
-0.38543200492858887,
0.4340386986732483,
0.8705490231513977,
-0.3498495817184448,
0.38353484869003296,
-0.7099535465240479,
-0.7750622034072876,
-0.41974422335624695,
-0.7547516822814941,
0.197694450616... |
In this task you will be given a list of integers. You should remove any integer that is not prime. A prime integer is an integer that is only divisible by '1' and itself. The output should be the list of prime numbers in the input list. If there are no primes in the input list an empty list ("[]") should be returned.
... | [53, 107, 151, 577, 619, 433] | 0 | NIv2 | task366_synthetic_return_primes | zs_opt | [
-0.557391345500946,
0.3884005546569824,
-0.2998386323451996,
-0.40939995646476746,
0.09806843101978302,
-0.08989519625902176,
1.1255056858062744,
0.7397717833518982,
0.07083819061517715,
0.41767430305480957,
-1.335015058517456,
-0.5971350073814392,
-0.16655750572681427,
-0.5316506624221802... |
Detailed Instructions: Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
Q: イギリスのニュースネットのBBCニュースは、ブンホワイトヘブンのピーター・ワトソンを含む、それぞれの地域で事件に関わった何人かの目撃者にインタビューした。
A: | បណ្ដាញព័ត៌មានអង់គ្លេសBBCញ៉ូវបាននិយាយជាមួយសាក្សីជាច្រើនអ្នកទាក់ទងនឹងឧបត្តិហេតុដែលមកពីតំបន់មួយៗរួមមានផេតថើវត្ដសិននៃវាយហាវេន។ | 9 | NIv2 | task1121_alt_ja_khm_translation | zs_opt | [
0.1885821372270584,
-0.36639052629470825,
-0.1277143955230713,
-0.35115960240364075,
0.2148405760526657,
-0.7661014199256897,
0.19839924573898315,
-0.37407201528549194,
-0.0972728282213211,
0.1283768117427826,
-0.6908420324325562,
0.7614879608154297,
-0.5530127882957458,
0.5423510074615479... |
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 and you need to find the mean (average) of that list. The mean of a list can be found by summing every number in the list then dividing the result by the size of that list. The output should be ... | 179.218 | 1 | NIv2 | task094_conala_calculate_mean | zs_opt | [
-0.4331657886505127,
0.5459574460983276,
-0.9410585165023804,
-1.1024328470230103,
0.060353465378284454,
0.6185783743858337,
0.530020534992218,
0.09424588084220886,
-0.11241155862808228,
0.28170907497406006,
-1.0260156393051147,
0.5204166173934937,
-0.6424527168273926,
-0.11461697518825531... |
You are given a sentence in English. Your job is to translate the English sentence into Galician.
[Q]: Black and Latino patients are twice as likely to receive no pain medication as whites for the same painful long bone fractures because of stereotypes that black and brown people feel less pain, exaggerate their pain,... | Como amosou o vídeo do estudante, podemos chocar e mover.
| 5 | NIv2 | task1090_ted_translation_en_gl | fs_opt | [
0.17775028944015503,
-0.02732616290450096,
-0.06163901463150978,
0.12485113739967346,
-0.45593345165252686,
-0.7235487699508667,
0.06231723353266716,
1.2693158388137817,
-0.03896690160036087,
0.22887060046195984,
0.5515729188919067,
0.7680546045303345,
-0.021349161863327026,
0.024912966415... |
Teacher:In this task you are given a list of triplets of the form [subject, predicate, object] and the output should be a question based on the triplets but with the subject and/or object replaced with blanks (represented using two or more consecutive underscores). Triplet values encompassed in [*] are special tokens t... | Japanese food place, '_____', is located near _____ by the riverside. The customer reviews are average and the place is not family-friendly. | 6 | NIv2 | task1407_dart_question_generation | zs_opt | [
-0.0838293507695198,
-0.2426779419183731,
0.12122432887554169,
-0.46907132863998413,
0.5561776757240295,
-0.6224460601806641,
0.8339939117431641,
0.8803898096084595,
-0.5151726007461548,
-0.016463715583086014,
-0.1849118322134018,
0.08969666063785553,
-0.08695562928915024,
-0.3086991310119... |
In this task, you're given reviews from Amazon's products. Your task is to generate the Summary of the review.
Q: Thank you shipper for throwing in this bottle with another item with no cap. It is supposed to be a gift that I now cannot give because it looks like it was half used. Thank you so much for wasting $5.99 o... | Come for the setting and atmosphere but then leave immediately because it's all pretty disappointing
****
| 4 | NIv2 | task618_amazonreview_summary_text_generation | fs_opt | [
-0.08100823312997818,
0.10603819787502289,
-0.30008429288864136,
-0.1601017862558365,
-0.10479623079299927,
-0.4021536111831665,
0.4653325080871582,
0.8572978973388672,
0.23770195245742798,
0.11799687892198563,
-0.1623651385307312,
0.5487750768661499,
-0.7493468523025513,
-0.07920545339584... |
Given a sentence in the Japanese and Lao language. Your task is check if the Lao sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Q: Japanese: 研究者でしょうか？
Lao: ຜູ້ບັນຊາການທະຫານ ຂອງ ລັດຖະບານ ຟີຈີ ແຟຣັງ ໄບນີມາຣາມາ ໄດ້ຊີ້ແຈງວ່າ ມີການຖະແຫຼງຂອງເຫດສຸ... | No | 4 | NIv2 | task1126_alt_ja_lo_answer_generation | zs_opt | [
-1.022475004196167,
-0.8473960757255554,
-0.11256299167871475,
-0.16788145899772644,
0.46401020884513855,
-0.8566008806228638,
0.44459372758865356,
0.757584810256958,
-0.16123276948928833,
-0.4098682999610901,
-0.7091432809829712,
-0.02419394440948963,
-1.127825379371643,
0.115615561604499... |
In this task, you will be given a movie review and a question about the reviewer's sentiment toward one aspect of the movie in Persian. You have to infer the answer to the question from the review and classify it. Classify the reviewer's sentiment into: "no sentiment expressed", "negative", "neutral", "positive", and "... | negative | 0 | NIv2 | task525_parsinlu_movie_aspect_classification | zs_opt | [
-0.7745959758758545,
0.3634127080440521,
0.007588251959532499,
0.21146810054779053,
-0.13755498826503754,
-0.25739437341690063,
1.076986312866211,
0.7175689339637756,
0.48663267493247986,
-0.275779664516449,
-0.3017369210720062,
-0.10839102417230606,
-0.8845148086547852,
0.6462867259979248... |
instruction:
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Farsi.
question:
אנחנו לא צריכים עוד גאונים כרגע.
answer:
ما در حال حاضر ، به افراد نابغه نیاز نداریم.
question:
אני נוטה לחשוב שיתכן וחלה ירידה בפעולות מסוימות או במוסדות מסוימים ויתכן והיתה עלייה באחרים.
answer:
من ما... | جاش.
| 9 | NIv2 | task1113_ted_translation_he_fa | fs_opt | [
-1.2273921966552734,
0.4573674499988556,
0.19502395391464233,
-0.30466434359550476,
-0.07599460333585739,
-0.06303822994232178,
0.3846884071826935,
-0.1520817130804062,
0.3907073140144348,
-0.5810093879699707,
-0.9743810892105103,
0.14884260296821594,
-0.6392797231674194,
0.110404483973979... |
In this task, you are given a sentence which is either in the Swedish language or English language. You task is to identify the language of input sentence. Input sentence can be in Swedish or English language only and also it cannot have two languages at a time.
Det är klart, men detta är något som bara kommer att få ... | Swedish | 0 | NIv2 | task315_europarl_sv-en_language_identification | zs_opt | [
-0.3820521831512451,
0.9348031282424927,
0.6743903160095215,
-0.31004711985588074,
-0.08478841930627823,
-0.33521196246147156,
0.7299177646636963,
0.47004008293151855,
0.4627235531806946,
-0.37458160519599915,
-0.20044128596782684,
0.2756326496601105,
-0.15982717275619507,
-0.3969573974609... |
TASK DEFINITION: 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. Y... | No
| 8 | NIv2 | task1210_atomic_classification_madeupof | fs_opt | [
0.687261164188385,
0.4795847535133362,
0.3101629614830017,
-0.13747955858707428,
-0.374085396528244,
-0.49333202838897705,
1.3732421398162842,
0.3696637451648712,
-0.4251205325126648,
-0.6000902652740479,
-0.45048630237579346,
-0.47766774892807007,
-0.801497757434845,
0.12194965779781342,
... |
Given a set of five words, generate the word from the set that does not belong (i.e. is the least relevant) with the other words. Words are separated by commas.
One example: excavator, crane, pelican, hoist, upraise
Solution is here: pelican
Explanation: The common category here are words related to construction. A pel... | pie | 6 | NIv2 | task142_odd-man-out_classification_no_category | fs_opt | [
-0.2671240270137787,
0.717581033706665,
-0.03692194074392319,
-0.5337830185890198,
0.14830979704856873,
-0.05771519988775253,
0.29587647318840027,
0.538576602935791,
0.0017344802618026733,
-0.4922184348106384,
-1.3217934370040894,
0.12732866406440735,
-0.7092394828796387,
-0.05795712769031... |
In this task, you are given two statements. The task is to output whether a given textual premise, i.e. Statement 2, entails or implies a given scientific fact, i.e. Statement 1. The output should be 'entails' if Statement 2 supports Statement 1 and should be 'neutral' otherwise.
[Q]: Sentence 1: The most common eleme... | entails
| 5 | NIv2 | task1554_scitail_classification | fs_opt | [
-0.20967482030391693,
0.7607539892196655,
0.2101442962884903,
-0.40069395303726196,
-0.2747817039489746,
-0.8010191917419434,
0.006575011648237705,
0.3669631779193878,
0.3979669213294983,
-0.16739380359649658,
-0.681208074092865,
-0.3711402118206024,
0.15265978872776031,
-0.021303478628396... |
Given the task definition and input, reply with output. Given a simple high-school level math question, you are required to solve it and provide the final answer. The final answer is always a single number. These questions can range from a variety of topics like simple arithmetic, solving equations, converting a quanti... | 1 | 5 | NIv2 | task835_mathdataset_answer_generation | zs_opt | [
-0.4636077284812927,
0.4858183264732361,
-0.03219054639339447,
-0.5384554862976074,
-0.015884876251220703,
0.1925186812877655,
1.1294405460357666,
0.4234893321990967,
-0.048720311373472214,
-0.7873856425285339,
-0.7990865707397461,
0.43178465962409973,
0.026428580284118652,
0.0392594337463... |
In this task, find the most appropriate number to replace the blank (indicated with _ ) and express it in words.
One example is below.
Q: A lion has _ legs.
A: four
Rationale: The most logical numeric answer in words is four.
Q: Snow falls only every two or _ years.
A: | three | 9 | NIv2 | task672_nummersense | fs_opt | [
0.40145063400268555,
0.9184507131576538,
-0.5976117253303528,
-0.34151726961135864,
-0.44702810049057007,
-0.568254828453064,
0.21984513103961945,
0.15284468233585358,
-0.3677021861076355,
-0.6812552213668823,
-0.19002225995063782,
0.7244117856025696,
-0.9901061058044434,
0.362090349197387... |
In this task, you're given a statement and three sentences as choices. Your job is to determine which sentence can be inferred from the statement. Incorrect choices change the meaning in important ways or have details that are not mentioned in the statement. Indicate your answer as 1,2, or 3 corresponding to the choice... | 2 | 0 | NIv2 | task200_mnli_entailment_classification | zs_opt | [
-0.2815357446670532,
1.0029243230819702,
-0.5442440509796143,
-0.2840096950531006,
0.3360550105571747,
-0.3902568817138672,
0.357465922832489,
0.9072521924972534,
-0.5165520906448364,
0.5152370929718018,
-0.4019952416419983,
0.34710922837257385,
-0.6785030961036682,
-0.6390854120254517,
... |
Instructions: You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. If the conversation begins with a question, label it '1' otherwise '0'.
Input: Person1: Sir , here is your curried beef .
Person2: Well . I am afraid you have made a mistake... | 0 | 3 | NIv2 | task1534_daily_dialog_question_classification | zs_opt | [
-0.05628828704357147,
0.8852972388267517,
-0.13607743382453918,
-0.05096689984202385,
0.13961143791675568,
-0.16401638090610504,
1.0674247741699219,
-0.32896822690963745,
-0.1045517846941948,
-0.3874872028827667,
-0.08553528040647507,
-0.5353697538375854,
-0.8441531658172607,
0.35817712545... |
You are given a sentence in English. Your job is to translate the English sentence into Portugese.
Let me give you an 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 ... | Então, vamos fazer uma mudança | 8 | NIv2 | task1094_ted_translation_en_pt | fs_opt | [
-0.11240420490503311,
0.6993794441223145,
0.07127407193183899,
-0.5711988210678101,
-0.24328261613845825,
-1.0333077907562256,
-0.2030789852142334,
0.36664536595344543,
0.6022731065750122,
-0.8280529975891113,
-0.0953361764550209,
0.6425870656967163,
-0.5915788412094116,
0.1408981382846832... |
Given a sentence in the Lao, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Example: ອິຕາລີໄດ້ເສຍໃຫ້ປ໊ອກຕຸຍການ 31 ຕໍ່ 5 ໃນພູລ C ຂອງ ການແຂ່ງຂັນຣັກບີ້ລະດັບໂລກປີ 2007 ທີ່ ປາກເດແພຣັງ ປາຣີ ປະເທດຝຣັ່ງ.
Example solution: フランスのパリ、パルク・デ... | Solution: アルペンスキーで最も人気があるスイスに言及しながら、「私達、スイスが行く道は、単に山にだけではなく、海にあることを発見しました」と。 | 5 | NIv2 | task1125_alt_lo_ja_translation | fs_opt | [
-0.5925734639167786,
0.5743523836135864,
-0.7803609371185303,
0.32636916637420654,
-0.08257115632295609,
-0.3409787118434906,
0.27453944087028503,
0.365847110748291,
0.29002201557159424,
-0.6560596227645874,
-0.8064969778060913,
1.0985345840454102,
-0.547248899936676,
0.8817665576934814,
... |
From the given sentence, extract the phrase (often noun or verb) that carries the given relationship. The generated phrase should be present in the sentence.
[Q]: Given Relationship: 'be county in', Sentence: 'Louth A county of the Republic of Ireland , occupying 307 square miles in the northeast .'
[A]: county
[Q]:... | directed
| 5 | NIv2 | task678_ollie_actual_relationship_answer_generation | fs_opt | [
-0.519406795501709,
1.569955825805664,
0.6027309894561768,
-1.0462195873260498,
-0.19031065702438354,
-0.4505261480808258,
0.21447129547595978,
0.2930471897125244,
0.1507379710674286,
-0.48674383759498596,
0.06936031579971313,
0.45109522342681885,
-0.7615242004394531,
0.22808587551116943,
... |
Teacher: In this task, you are given a sentence in Persian, and your task is to translate it into English.
Teacher: Now, understand the problem? If you are still confused, see the following example:
جناب گرانت خیلی دلش میخواست روز یکشنبه بعد از آن همه خستگی روزانه بنشیند و بوقلمون را بخورد.
Solution: because I know ho... | and the space arranged just as he had heard her describe Roachie Martinez' s bedroom, | 2 | NIv2 | task660_mizan_fa_en_translation | fs_opt | [
-0.8222923278808594,
0.2558038830757141,
-0.25587713718414307,
-0.2428724318742752,
-0.6127372980117798,
-0.9147239327430725,
0.9170575737953186,
0.06553704291582108,
0.08705182373523712,
-0.3972632884979248,
-0.5917779207229614,
1.041603922843933,
-0.5904248952865601,
0.2773996889591217,
... |
You will be given a definition of a task first, then some input of the task.
In this task, You are given an amazon review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False"
Review: The upper cover (used to protect the scree... | True | 1 | NIv2 | task1313_amazonreview_polarity_classification | zs_opt | [
-0.23594748973846436,
0.010471869260072708,
0.14635010063648224,
-0.2693977355957031,
0.31461647152900696,
-0.284717321395874,
0.5876600742340088,
0.43585968017578125,
0.18177197873592377,
0.2073996365070343,
-0.5691741108894348,
-0.26898807287216187,
-0.3513678312301636,
-0.08662809431552... |
Q: In this task, you are given a text of many news articles seperated by special token "|||||". Your task is to summarize them.
The seed for Wide00014 was:
- Slash pages from every domain on the web:
-- a ranking of all URLs that have more than one incoming inter-domain link (rank was determined b... | Michele Bachmann says we're facing "God's end times," and she finds the proof in President Obama's actions in Syria. He recently waived some arms-export rules in order to offer "non-lethal assistance" to the opposition there, according to the National Security Council, the Hill notes. Or, as Bachmann puts it, "the Unit... | 7 | NIv2 | task1291_multi_news_summarization | zs_opt | [
0.35414838790893555,
0.4005967974662781,
-0.8540685772895813,
0.4572604298591614,
0.22881165146827698,
-0.7763185501098633,
1.0943543910980225,
1.1544588804244995,
-0.027958959341049194,
1.2824913263320923,
-0.7605145573616028,
1.044480562210083,
-0.26912057399749756,
0.1967122107744217,
... |
In this task you will be given a process, and a question. The process contains a sequence of steps that happen in order. The question asks about the effect of a certain event on another event. If the first event has a positive effect on the second event, answer with "for", if it has a negative effect, answer with "agai... | against | 6 | NIv2 | task1727_wiqa_what_is_the_effect | fs_opt | [
-0.4180474877357483,
0.30180299282073975,
-0.5698921084403992,
-0.2017059028148651,
-0.4514589309692383,
-1.6137127876281738,
0.12225789576768875,
1.3519067764282227,
-0.5211303234100342,
0.18244419991970062,
-0.36832407116889954,
-0.013956021517515182,
-0.9139770269393921,
0.0043078968301... |
Teacher:In this task, you're given a context passage. Your job is to generate relevant questions that can be answered by directly referring to the passage.
Teacher: Now, understand the problem? Solve this instance: Jordan wore their own clothes instead of the uniform that was required by their school.
Student: | Why did Jordan do this? | 6 | NIv2 | task596_mocha_question_generation | zs_opt | [
0.25739502906799316,
0.7132667899131775,
-0.19999495148658752,
-0.4016004800796509,
-0.54012131690979,
-0.054281752556562424,
0.6291320323944092,
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0.2375907599925995,
-0.1769627183675766,
-0.28342607617378235,
-0.12030018866062164,
-1.5454100370407104,
-0.116110146045684... |
A text is given in Hindi. Translate it from the Hindi language to the Oriya language. The translation must not omit or add information to the original sentence.
ରାଷ୍ଟ୍ରପତି ଶ୍ରୀ ରାମ ନାଥ କୋବିନ୍ଦ ଭାରତୀୟ ବାୟୁସେନାର 223 ସ୍କ୍ୱାର୍ଡନ୍ ଏବଂ 117 ହେଲିକପ୍ଟର ୟୁନିଟକୁ ଆଜି (ନଭେମ୍ବର 16, 2017) ପଞ୍ଜାବର ଆଦମପୁର ବାୟୁସେନା ଘାଟିଠାରେ ମାନକ ପ୍ରଦା... | प्रधानमंत्री ने भारत-फ्रांस के बढ़ते संबंधों के लिए श्री ले ड्रियन द्वारा वर्तमान में और विगत में फ्रांस के रक्षा मंत्री के रूप में दिए गए योगदान के लिए उनकी प्रशंसा की। | 0 | NIv2 | task986_pib_translation_oriya_hindi | zs_opt | [
-0.5731149911880493,
-0.0586736798286438,
-0.48236483335494995,
-0.5015667676925659,
-0.19133049249649048,
-0.4937973618507385,
0.855032205581665,
-0.03525381535291672,
-0.40073177218437195,
0.31172165274620056,
-0.47164660692214966,
0.5278516411781311,
0.205799400806427,
0.328254461288452... |
Detailed Instructions: This is a paraphrasing task. In this task, you're given a sentence and your task is to generate another sentence which express same meaning as the input using different words.
Problem:well , you 've been rocking out on mine ,
Solution: | you played on mine , | 8 | NIv2 | task177_para-nmt_paraphrasing | zs_opt | [
0.6625595688819885,
1.9247782230377197,
-0.5210014581680298,
0.03590719401836395,
-0.4283601939678192,
-0.15104225277900696,
0.5908485651016235,
0.8566111922264099,
0.1890937089920044,
-0.4356577396392822,
-0.5506591796875,
-0.46963441371917725,
-0.8073757886886597,
-0.1118171215057373,
... |
Given the task definition and input, reply with output. In this task, you are given a sentence in the Japanese language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
コロラド州に拠点を置く労働省は、ラ... | Labor based out of Colorado found that activities performed by Landmark Education's "assistants" include: "office, clerical, telephone solicitation and enrollment, as well as greeting customers, setting up chairs, handling microphones during the seminars and making coffee." | 5 | NIv2 | task436_alt_ja_en_translation | zs_opt | [
-0.054195620119571686,
0.42832034826278687,
0.659247100353241,
-0.9212819337844849,
0.010374808683991432,
0.24625059962272644,
0.004939705599099398,
0.4090544581413269,
0.3745192289352417,
-0.26816877722740173,
-0.3446134626865387,
-0.1729939579963684,
-0.6922732591629028,
0.25268644094467... |
TASK DEFINITION: In this task, you're given a statement and three sentences as choices. Your job is to determine the neutral choice based on your inference from the statement and your commonsense knowledge. The neutral choice is a sentence that neither agrees nor disagrees with the statement. Indicate your answer as '1... | 1
| 8 | NIv2 | task201_mnli_neutral_classification | fs_opt | [
0.5187350511550903,
0.16687491536140442,
-0.336225688457489,
0.6000880002975464,
0.8866909742355347,
-0.44482702016830444,
0.6950264573097229,
1.2011233568191528,
0.08245569467544556,
-0.12908828258514404,
-0.04024442657828331,
-0.02343013510107994,
-0.2656349241733551,
-0.1817345321178436... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a short passage that may convey stereotype, anti-stereotype, or is unrelated. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common s... | Unrelated | 1 | NIv2 | task279_stereoset_classification_stereotype | zs_opt | [
0.2537573575973511,
0.06291131675243378,
-0.04997099190950394,
0.48217034339904785,
0.0340685099363327,
-0.13034369051456451,
0.33894962072372437,
1.158893346786499,
0.01954803615808487,
-0.13165628910064697,
0.04736541211605072,
-0.09758615493774414,
-0.6326227188110352,
-0.35886457562446... |
Definition: In this task, you are given a sentence in Persian, and your task is to translate it into English.
Input: . من حتي يه کلمه هم با اون حرف نزدم - . تو سعي خودتو کردي -
Output: | and i never said a single word to her. you tried. | 2 | NIv2 | task659_tep_fa_en_translation | zs_opt | [
0.4214062988758087,
0.7793850898742676,
0.01965433545410633,
-0.059323422610759735,
0.06893593072891235,
0.2895374596118927,
0.8310952186584473,
0.07307448983192444,
0.529431939125061,
-0.34497660398483276,
-0.6984444856643677,
0.07677286118268967,
-0.7649548649787903,
0.10436182469129562,... |
Teacher:A piece of text from one of these 5 languages - French, English, Dutch, Somali, Tagalog is given. Generate the language to which the text belongs.
Teacher: Now, understand the problem? Solve this instance: Text: Praise and Worship: Anyayahan ang presensya ng Espiritu Santo sa inyong mga sesyon ng pagasasanay.
S... | Tagalog | 6 | NIv2 | task447_opus_paracrawl_classification | zs_opt | [
0.11630313098430634,
0.026330359280109406,
0.7185478210449219,
-0.2949709892272949,
0.10699371993541718,
-1.4650778770446777,
0.04717082530260086,
0.0648886114358902,
0.08546341210603714,
0.010028444230556488,
0.5077633857727051,
-0.0019469840917736292,
-0.4877867102622986,
-0.341421008110... |
In this task, you are given an ambiguous question/query (which can be answered in more than one way) and a clarification statement to understand the query more precisely. Your task to classify that if the given clarification accurately clarifies the given query or not and based on that provide 'Yes' or 'No'.
Example: Q... | Solution: Yes | 5 | NIv2 | task227_clariq_classification | fs_opt | [
-0.5980862379074097,
0.1275397092103958,
-0.17965352535247803,
0.31231510639190674,
-0.6449350714683533,
-0.6937305927276611,
0.841813862323761,
0.6572986841201782,
0.545496940612793,
-0.19288218021392822,
0.23321400582790375,
-0.44470030069351196,
-0.682948112487793,
-0.15172143280506134,... |
Teacher:In this task, you're given a review from Amazon's food products. Your task is to generate a short summary of the given review in the input. Note that you don't need to write a complete sentence as a summary.
Teacher: Now, understand the problem? Solve this instance: This sauce is an excellent blend of sweet and... | Yummy sauce! | 6 | NIv2 | task589_amazonfood_summary_text_generation | zs_opt | [
-0.3189980387687683,
0.03270344063639641,
0.47429221868515015,
-0.6124411821365356,
0.2114233374595642,
-0.5090943574905396,
0.30601710081100464,
0.6608861684799194,
-0.23144301772117615,
0.23606473207473755,
0.26319852471351624,
-0.03143174573779106,
-0.48498350381851196,
-0.3120651841163... |
In this task, you're given a context, 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 context and link information to create the q... | Who is the most recent recipient of the award McGraw won for Goodbye Columbus?
| 7 | NIv2 | task235_iirc_question_from_subtext_answer_generation | fs_opt | [
0.23004740476608276,
0.30445629358291626,
-0.3410758078098297,
0.45816415548324585,
-0.05703342705965042,
-0.4148216247558594,
0.13612601161003113,
0.3780149817466736,
-0.20392003655433655,
-0.0813627541065216,
-0.3307969868183136,
0.4028118848800659,
-0.43301934003829956,
0.17966887354850... |
You will be given a text in the Russian language, and you should classify the given input text to one of the emotion labels from this list of emotion labels- ['joy', 'sadness', 'surprise', 'fear', 'anger']. Make sure your output label (i) is strictly present in the given list of emotion labels. (ii) is unambiguous.
То... | surprise | 0 | NIv2 | task1662_cedr_ru_classification | zs_opt | [
-0.5572752356529236,
-0.09387260675430298,
0.1896049976348877,
-0.40268611907958984,
-0.48719149827957153,
-0.1008271723985672,
0.5385642051696777,
0.9867689609527588,
-0.21495765447616577,
-0.28126710653305054,
-0.5887002944946289,
-0.24640366435050964,
-0.21613004803657532,
0.30173313617... |
Detailed Instructions: In this task, you are given a short passage that conveys a stereotype. A stereotype is an over-generalized belief about a particular group of people. You are expected to classify the passage into nine types of stereotype: race-color, socioeconomic, gender, disability, nationality, sexual-orientat... | nationality | 9 | NIv2 | task317_crows-pairs_classification_stereotype_type | zs_opt | [
-0.30697041749954224,
0.6385122537612915,
0.34033331274986267,
0.06616242229938507,
0.40294408798217773,
-0.6645902991294861,
-0.10312006622552872,
0.7746809124946594,
0.055375948548316956,
0.6917336583137512,
-1.0569524765014648,
0.16423296928405762,
-0.3316291272640228,
-0.81415849924087... |
Q: In this task, you're given a story (which contains five sentences only). Your task is to find all the characters which are available in the given story.
Sentence1: Lindsey still had some shopping to complete two days before Christmas. Sentence2: She went to every shopping mall she could think of. Sentence3: The stor... | Lindsey | 7 | NIv2 | task292_storycommonsense_character_text_generation | zs_opt | [
-0.0433516725897789,
0.4773399531841278,
0.1971568614244461,
-0.31155556440353394,
0.23820960521697998,
-0.2789963185787201,
0.5485643148422241,
0.047958970069885254,
0.058498531579971313,
0.20403388142585754,
0.07141732424497604,
0.14360401034355164,
-0.4198489189147949,
0.430306255817413... |
Instructions: This task is about identifying the subject of a given sentence. The subject of a sentence is the person, place, or thing that is performing the action of the sentence. The subject represents what or whom the sentence is about. Each sentence in this task is guaranteed to contain a single subject. The input... | Iraq | 3 | NIv2 | task1411_dart_subject_identification | zs_opt | [
-0.3443964719772339,
0.4920596778392792,
-0.026820316910743713,
-0.7682043313980103,
-0.3227227032184601,
-0.318322092294693,
0.6971506476402283,
0.4393397569656372,
0.344007670879364,
0.07199691236019135,
-1.40485417842865,
-0.021097332239151,
-0.5824339389801025,
0.16650550067424774,
1... |
Q: 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.
[106, 67]
A: | [53, 202] | 7 | NIv2 | task206_collatz_conjecture | zs_opt | [
-0.8714872598648071,
0.7857508659362793,
-0.02237512357532978,
-0.7463995814323425,
-0.30882835388183594,
-0.41672009229660034,
1.1668847799301147,
-0.13514137268066406,
0.1297782063484192,
0.4036317765712738,
-0.5191676616668701,
-0.10080920904874802,
-0.558404803276062,
-0.33565276861190... |
Given a sentence in Chinese, generate a new Chinese 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 b... | 您可能会在岩石日记中找到循环 。 | 9 | NIv2 | task412_mickey_zh_sentence_perturbation_generation | fs_opt | [
0.10081158578395844,
0.0606829896569252,
-0.3015117049217224,
0.26673179864883423,
0.025380142033100128,
-0.6949163675308228,
-0.41839858889579773,
1.0413005352020264,
-0.24120765924453735,
-0.06719090044498444,
-0.5501981973648071,
0.054863277822732925,
-0.057126861065626144,
-0.119149588... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Hebrew.
One example: 人の脳の何がそんなに特別なのでしょうか ？
Solution is here: מה מייחד את המוח האנושי?
Explanation: The Japanese sentence is correctly translated into Hebrew, because they both refer to the human brain.
Now, solve this: 洗濯機を使い終わると... | אז אתם יודעים, שכאשר סיימתם עם זה פשוט הברגתם את זה החוצה. | 6 | NIv2 | task1225_ted_translation_ja_he | fs_opt | [
-0.6329596042633057,
0.21826627850532532,
-0.055011969059705734,
-0.2943015694618225,
-0.8342499732971191,
-0.39827799797058105,
0.9103848934173584,
-0.821075439453125,
0.7883151173591614,
-0.840553879737854,
-1.0696063041687012,
0.3491334915161133,
-0.7569068074226379,
0.5825979113578796,... |
In this task, you will be shown a Persian passage and question. You need to write a answer for the question. Try to keep your answers as short as possible.
[EX Q]: خوب، بد، زشت یک فیلم درژانر وسترن اسپاگتی حماسی است که توسط سرجو لئونه در سال ۱۹۶۶ در ایتالیا ساخته شد. زبانی که بازیگران این فیلم به آن تکلم میکنند مخلوط... | ۲۰ خط و ۲۵۶ ایستگاه
| 6 | NIv2 | task395_persianqa_answer_generation | fs_opt | [
-0.3035001754760742,
0.6748937368392944,
-0.1807691901922226,
0.026301870122551918,
0.5385749340057373,
0.03604188188910484,
0.9125494956970215,
0.8008992671966553,
-0.470794141292572,
-0.3324938118457794,
-0.5562372207641602,
0.7188020348548889,
-0.6428611278533936,
0.008766122162342072,
... |
TASK DEFINITION: In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen after that sentence. Is any of them directly caused by it, or is made possible by it? You should write your answer in the form " A >causes/enables> B". Try to use phrases and sentences ... | Jane gets a kitty >Causes/Enables> The kitty sleeps on Jane's lap
| 8 | NIv2 | task748_glucose_reverse_cause_event_detection | fs_opt | [
0.027325967326760292,
-0.2599387466907501,
-0.03353125602006912,
0.21769678592681885,
0.12180700898170471,
-0.6143046617507935,
-0.3981384336948395,
1.283250093460083,
-0.4189116656780243,
0.1960495412349701,
-0.40093836188316345,
0.41405731439590454,
-0.06271694600582123,
-0.3831036090850... |
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