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 |
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TASK DEFINITION: In this task you are given a tweet and you must identify whether the tweet contains any offense or any form of (untargeted) profanity. Label the post as NOT if the post does not contain offense or profanity. Non-offensive posts do not include any form of offense or profanity. label the post as OFFENSI... | NOT
| 8 | NIv2 | task286_olid_offense_judgment | fs_opt | [
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instruction:
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 (European... | Decision
| 9 | NIv2 | task744_eurlex_classification | fs_opt | [
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In this task, you are given a food review in Persian, and you have to extract aspects of the food mentioned in the text. We define aspects as taste/smell(طعم), nutritional value(ارزش غذایی), product quality(کیفیت), delivery(ارسال), packaging(بسته بندی) and purchase value/price(ارزش خرید). Although there might be multip... | کیفیت | 9 | NIv2 | task529_parsinlu_food_aspect_detection | fs_opt | [
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... |
Teacher:In this task you will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10.
Teacher: Now, understand the problem? Solve this instance: [595, 745, 745, 500]
Student: | [600, 740, 740, 500] | 6 | NIv2 | task373_synthetic_round_tens_place | zs_opt | [
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Given a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact
Let me give you an example: English sentence: How is this possible
The answer to this example can be: Olee kwere omume?
Here is why: The Igbo translation means the same as the original sent... | More ma ọ bụ obere otu Chelsea egwuregwu ndị na ndibọhọ Premiership ikpeazụ oge imewo dara ada n'ụzọ a oge. | 8 | NIv2 | task452_opus_paracrawl_en_ig_translation | fs_opt | [
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Given the task definition and input, reply with output. In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify given passage into two categories: (1) "yes" if the given context is useful in answering the question, and (2) "no" if the given context is... | yes | 5 | NIv2 | task242_tweetqa_classification | zs_opt | [
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... |
Teacher:In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with the same order as the internal lists.
Teacher: No... | [41, 50, 21] | 6 | NIv2 | task207_max_element_lists | zs_opt | [
-0.4061323404312134,
0.0012159214820712805,
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Given the task definition, example input & output, solve the new input case.
You are given a sentence in English. Your job is to translate the English sentence into Galician.
Example: Now, it's next door, or in my house.
Output: Agora, está ao lado, ou na miña casa.
The English sentence is correctly translated into Gal... | SB: Moitas grazas. FC: Ben feito, rapaz. | 1 | NIv2 | task1090_ted_translation_en_gl | fs_opt | [
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Teacher:In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is potentially offensive to anyone (i.e., a subset of people, any particular person, etc.), 2) no, otherwise. Note that potentially offensive posts can contain sexua... | Yes | 6 | NIv2 | task609_sbic_potentially_offense_binary_classification | zs_opt | [
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Given the task definition and input, reply with output. In this task you are given a sentence. You must judge whether the main verb of the sentence is in present or past tense. Label the instances as "Present" or "Past" based on your judgment. If there is no verb in the given text, answer "Present".
After taking a cal... | Past | 5 | NIv2 | task429_senteval_tense | zs_opt | [
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0.... |
Detailed Instructions: In this task, you are given a summary for US Congressional and California state bill, your task is to generate a Title for this bill. The preferred titles are under forty words and mention the purpose of the bill.
Q: Nurse Training and Retention Act of 2007 - Directs the Secretary of Labor to est... | A bill to fund comprehensive programs to ensure an adequate supply of nurses. | 9 | NIv2 | task1659_title_generation | zs_opt | [
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... |
Definition: In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger words (e.g., "s... | Sentence 1: Everyone in the stable noticed when PersonX picked a fight with PersonY about who would take care of the horse, and _ appeared very aggressive.
Sentence 2: Everyone in the stable noticed when PersonX picked a fight with PersonY about who would take care of the horse, and _ appeared caught off guard. | 2 | NIv2 | task030_winogrande_full_person | zs_opt | [
0.23616854846477509,
0.14018012583255768,
0.0403410829603672,
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Given the task definition and input, reply with output. Given news headlines and an edited word. The original sentence has word within given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Classify news headlines into "Funny" and "Not Funny" that have been modified by hu... | Funny | 5 | NIv2 | task495_semeval_headline_classification | zs_opt | [
0.003974163439124823,
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0.0221907310187... |
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... | What golf course is the British Ladies Amateur played?
****
| 4 | NIv2 | task235_iirc_question_from_subtext_answer_generation | fs_opt | [
0.3386126458644867,
0.6954469680786133,
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0.3261413276195526,
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... |
In this task you will be given a list of dictionaries. A dictionary is a set of key-value pairs, where each key is unique and has a value associated with that key. You should sort the list of dictionaries from smallest to largest by their 'first' key. If there is two dictionaries with the same 'first' value then sort t... | [{'first': -94, 'second': 84}, {'first': 52, 'second': -68}] | 8 | NIv2 | task123_conala_sort_dictionary | fs_opt | [
0.09281370788812637,
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Detailed Instructions: The task is about translation from Telugu to English. While performing the translation you must preserve the original meaning. Do not include any words which are only limited to your native place.
Q: జస్ట్ 24 గంటల ఈ చుట్టిన ఉంచేందుకు.
A: | Just keep this wrapped for 24 hours. | 9 | NIv2 | task1324_open_subtitles_te_en_translation | zs_opt | [
-0.41083765029907227,
1.2200019359588623,
0.9059516191482544,
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Given the task definition and input, reply with output. Given a paragraph about cooking, and a set of conversational questions and answers about the paragraph, say whether the passage contains sufficient information to answer the follow-up question. Say Yes if it is answerable; otherwise, say No. The paragraph has the ... | Yes | 5 | NIv2 | task1439_doqa_cooking_isanswerable | zs_opt | [
-0.22053875029087067,
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You are given a short poem which is written by a kid. Your task is to predict if the kid is in elementary school or high school. Anyone who is from grade 1st to 6th-grade will be considered as in elementary school, and 7th to 12th-grade kids will be considered as in high school. There are only two possible outputs, i.e... | Solution: elementary | 5 | NIv2 | task1712_poki_classification | fs_opt | [
0.04226846247911453,
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... |
Read the given query and classify it as a 'Good' or 'Bad' query depending on how well the query is formed, 'Bad' being the expected output for a not so well formed query and 'Good' being the expected output for a well formed query. A query may be wrong based on common sense or general facts, but if it is well formed, y... | Bad | 6 | NIv2 | task673_google_wellformed_query_classification | fs_opt | [
-0.8789869546890259,
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Q: You are given a sentence in English. Your job is to translate the English sentence into Arabic.
If I have an art, it's deconstructing things that really scare the living hell out of me.
A: | إذا كان عندي فن ، فهو فن تدمير كل شيء هذا يخيفني جداً. | 7 | NIv2 | task1220_ted_translation_en_ar | zs_opt | [
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Detailed Instructions: In this task, you are given a sentence in Persian, and your task is to translate it into English.
See one example below:
Problem: ۵۲٪ از کاربران رایانه دارای دانش رایانهای هستند.
Solution: 52% of computer users are Internet literate.
Explanation: This is a good example. The above sentence is cor... | The anti-polio campaign started in 1993 in Pakistan under the program of National Immunization Days (NIDs) and has been going on ever since. | 4 | NIv2 | task662_global_voices_fa_en_translation | fs_opt | [
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... |
Instructions: 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 'N... | Yes | 3 | NIv2 | task227_clariq_classification | zs_opt | [
-1.2703578472137451,
0.18840771913528442,
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In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the... | Beauty queen rides on a float in a parade.
| 1 | NIv2 | task187_snli_entailment_to_contradiction_text_modification | fs_opt | [
0.23359781503677368,
0.16360792517662048,
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This task is about translating a given English language sentence to Spanish.
Let me give you an example: It's this amazing wonderful feeling and you know it when you get it.
The answer to this example can be: Es ese sentimiento asombroso e increíble, y lo reconoces cuando lo sientes.
Here is why: This is a good exampl... | Y luego, la relación entre el hecho biológico del sexo y el hecho cultural del género es vuelta un problema por el hecho de que la biología no sea sólo inestable, pero sujeta a la libre voluntad del individuo que tendría tal sexo pero no necesariamente tal género. la ciencia ficción se ha preocupado por esto un largo t... | 8 | NIv2 | task1691_qed_amara_translation | fs_opt | [
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Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: (1) when the individual's belief matches reality, (2) when the individual's belief does not match reality, (3) is when an individual has a false belief about another in... | Solution: green_basket | 5 | NIv2 | task151_tomqa_find_location_easy_clean | fs_opt | [
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0.094083443... |
You will be given a definition of a task first, then some input of the task.
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.
झारखंड में आम चुनाव के पांचवें चरण में दिलचस्प तथ्य यह है कि कोडरमा संसदीय निर्वाच... | جھارکھنڈ کے کوڈرما میں عام انتخابات کے پانچویں مرحلے سے متعلق ایک دلچسپ انکشاف یہ ہوا ہے کہ یہ پارلیمانی حلقہ آبادی (34،05،027) کے اعتبار سے سب سے چھوٹا ہے اور اس میں رائے دہندگان کی تعداد (19،86،808)کے اعتبار سے سب سے چھوٹا ہے اور اس میں رائے دہندگان کی تعداد (11،74،643)بھی سب سے کم ہے۔ | 1 | NIv2 | task1053_pib_translation_hindi_urdu | zs_opt | [
0.12975084781646729,
0.6071619987487793,
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0.022723188623785973,
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Teacher: Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Teacher: Now, understand the problem? If you are still confused, see the following example:
I've read this book with much expectation, it was very boring all through out the book
Solution: Negative
R... | Negative | 2 | NIv2 | task493_review_polarity_classification | fs_opt | [
-0.2586071789264679,
-0.168237566947937,
0.6966239213943481,
-0.5146164298057556,
0.8645145893096924,
-0.27987444400787354,
0.8988746404647827,
0.2881571054458618,
0.6512517929077148,
0.4531257152557373,
0.10380078852176666,
-0.6070225238800049,
-1.07119882106781,
-0.4155403971672058,
-0... |
TASK DEFINITION: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to determine if the two sentences clearly agree/disagree with each other, or if this can't be determined. Indicate your answer as yes or no respectively.
PROBLEM: Sentence 1: There does seem to be a relationship betw... | yes
| 8 | NIv2 | task199_mnli_classification | fs_opt | [
-0.7137349843978882,
0.45592647790908813,
0.1959039568901062,
-0.45147645473480225,
0.2014312446117401,
0.03777333348989487,
0.6886887550354004,
1.1729284524917603,
0.4687034487724304,
-0.11716113239526749,
-0.14143559336662292,
-0.2121216058731079,
-0.9262628555297852,
-0.2897765040397644... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | Solution: No | 5 | NIv2 | task1210_atomic_classification_madeupof | fs_opt | [
0.4468485116958618,
0.49177247285842896,
0.2544844150543213,
-0.21975554525852203,
-0.6516510248184204,
-0.6520145535469055,
1.1191904544830322,
0.6211839914321899,
-0.4584027826786041,
-0.5101436972618103,
-0.6969935297966003,
-0.23081710934638977,
-0.5649373531341553,
0.24880334734916687... |
Instructions: In this task you will be given a list of integers. You should only return an integer if the first digit is the same as the last digit in the number. If an integer has a single digit, then it should be returned. If there are no integers that start and end with the same digit then an empty list ("[]") shoul... | [636, 818, 292] | 3 | NIv2 | task372_synthetic_palindrome_numbers | zs_opt | [
-0.590609073638916,
0.18766310811042786,
-0.7618381977081299,
-0.40028178691864014,
-0.2415553331375122,
0.5057265758514404,
0.9811508059501648,
0.18181592226028442,
-0.90212082862854,
-0.21920576691627502,
-0.6321874856948853,
-0.007160021457821131,
-0.04025670140981674,
-0.34048193693161... |
You are given a sentence, a question and two answer options ('A' and 'B'). Your task is to find the correct answer (return the string of the correct option, not 'A' or 'B') for the given question.
Q: Sentence: Mary is a lot stronger then Jimbo. Question: If each of them were to throw a football, which would throw it a ... | Jimbo | 4 | NIv2 | task1378_quarel_correct_answer_generation | zs_opt | [
0.5868948698043823,
0.255219966173172,
-0.5734806656837463,
-0.2571532726287842,
-0.409129798412323,
-1.4139366149902344,
0.18672503530979156,
0.46153169870376587,
0.877778172492981,
-0.12550225853919983,
-0.37424856424331665,
0.09712858498096466,
0.22860205173492432,
-0.08496825397014618,... |
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 sentence in Russian, generate a new Russian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the in... | Вы можете использовать Finker для визуализации артефактов. | 0 | NIv2 | task410_mickey_ru_sentence_perturbation_generation | fs_opt | [
-0.19912436604499817,
0.33948907256126404,
0.03675847500562668,
-0.44065243005752563,
-0.4496380686759949,
0.17560946941375732,
0.16936877369880676,
0.7701537013053894,
0.5178369283676147,
-0.7243101596832275,
-0.41801196336746216,
-0.2930915057659149,
0.21667146682739258,
0.00192890968173... |
Detailed Instructions: In this task you are given a small conversation between two persons and 4 options on how the conversation should continue. Your job is to choose the most reasonable option. The conversation and the options are separated by a newline character. Each dialogue in the conversation are separated by a ... | B | 9 | NIv2 | task611_mutual_multi_turn_dialogue | zs_opt | [
-0.69357830286026,
0.544464111328125,
0.1894628405570984,
-0.7615673542022705,
-0.10792650282382965,
0.19792795181274414,
1.0713419914245605,
0.2088867425918579,
0.92209792137146,
-0.134195476770401,
0.15169841051101685,
0.027047250419855118,
-0.03327798843383789,
-0.4167725443840027,
0.... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Polish.
Q: Ma se ne prendiamo atto, allora penso che potrà essere assai più morbida.
A: | Ale jeśli weźmiemy ją pod uwagę, to sądzę, że pójdzie znacznie bardziej gładko. | 4 | NIv2 | task1253_ted_translation_it_pl | zs_opt | [
0.40028369426727295,
1.3200430870056152,
0.02978857420384884,
-0.5652022957801819,
-0.19311769306659698,
-1.6299407482147217,
0.23534516990184784,
-0.0713125616312027,
0.34985285997390747,
0.4183259606361389,
-0.2309580147266388,
0.0026009688153862953,
-0.8134300112724304,
0.04832542315125... |
Detailed Instructions: In this task, you will be shown a conversation and a question. You need to answer the question and choose the correct option based on the conversation. "W" and "M" in the conversations stand for "woman" and "man".
Problem:M: Betty, where did you go yesterday? W: I went to visit a friend of mine i... | (A) To see a friend. | 8 | NIv2 | task247_dream_answer_generation | zs_opt | [
0.4910854995250702,
0.6010165214538574,
-0.5150666832923889,
-0.5869048833847046,
0.33384576439857483,
-0.5838929414749146,
0.38055527210235596,
0.21684026718139648,
0.7379319667816162,
-0.14315976202487946,
-0.6212595105171204,
0.46125492453575134,
0.6563054919242859,
0.05093219131231308,... |
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
| 1 | NIv2 | task1490_bengali_personal_hate_speech_binary_classification | fs_opt | [
-0.21745595335960388,
-0.3005543351173401,
0.058065809309482574,
0.761257529258728,
-0.5654631853103638,
-0.2251763939857483,
0.08982383459806442,
0.2928941547870636,
-0.33497369289398193,
-0.3324432969093323,
-0.4160098135471344,
-0.027406256645917892,
0.039806660264730453,
-0.51559358835... |
In this task, you are given music product reviews in French language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Let me give you an example: Le crépuscule du Dieu . Cet enregistrement des années 70 marqu... | NEG | 8 | NIv2 | task484_cls_french_music_classification | fs_opt | [
-0.500685453414917,
-0.02086097002029419,
-0.3533323407173157,
0.1827157437801361,
0.5584700703620911,
-0.7641726732254028,
0.5144621729850769,
0.4377860426902771,
0.09840600192546844,
1.0056631565093994,
-0.3731064200401306,
-0.47666454315185547,
0.492428719997406,
-0.06639344990253448,
... |
Categorize the comment on the basis of sexual explicitness. If the comment is sexually explicit output Yes, otherwise output No.
Ex Input:
I don't know of anyone who tolerates violence. Which happens anywhere you have large numbers of people. Violent people need to be locked up, but we have filled our jails and prison... | Yes
| 1 | NIv2 | task1723_civil_comments_sexuallyexplicit_classification | fs_opt | [
-0.49831804633140564,
0.311184823513031,
-0.25457215309143066,
0.6411252021789551,
-0.0014052545884624124,
-0.9106523990631104,
0.588910698890686,
1.4882168769836426,
0.5200569033622742,
-0.04924549162387848,
-0.38172677159309387,
0.7506148815155029,
-0.7230212092399597,
-0.913496315479278... |
Detailed Instructions: You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
Q: Category: SINGERS
Clue: She belted out "And I Am Telling You I'm Not... | jennifer holliday | 9 | NIv2 | task306_jeopardy_answer_generation_double | zs_opt | [
-0.5431439280509949,
1.1096999645233154,
-0.5837679505348206,
-0.06222977489233017,
-0.07769502699375153,
0.12678366899490356,
0.10062014311552048,
0.021993787959218025,
-0.3255769610404968,
0.19751392304897308,
-0.1995762586593628,
-0.2778661847114563,
-0.04770727828145027,
-0.28395047783... |
You will be given a definition of a task first, then some input of the task.
You are given a question. You need to detect which category better describes the question. A question belongs to the description category if it asks about description and abstract concepts. Entity questions are about entities such as animals, ... | Abbreviation | 1 | NIv2 | task1289_trec_classification | zs_opt | [
0.036129020154476166,
0.3881872296333313,
0.13981051743030548,
0.1928495466709137,
-0.6464182138442993,
-0.3748115301132202,
0.35007262229919434,
-0.08455847203731537,
0.0690312534570694,
-0.2840726971626282,
-0.5723234415054321,
-0.053362201899290085,
-0.19265592098236084,
0.2825980484485... |
A text is given in Bengali. Translate it from the Bengali language to the Telugu language. The translation must not omit or add information to the original sentence.
Q: বর্তমান ওভার ড্রাফট্-এর সীমা ৫ হাজার টাকা থেকে বাড়িয়ে ১০ হাজার টাকা করা হবে।
A: | ఇప్పుడు ఉన్నటువంటి ఓవర్ డ్రాఫ్ట్ (ఓడి) పరిమితి ని 5,000 రూపాయల నుండి 10,000 రూపాయలకు పెంచడానికి; | 4 | NIv2 | task1031_pib_translation_bengali_telugu | zs_opt | [
-0.8777990937232971,
0.6530168056488037,
-0.26195037364959717,
0.7730462551116943,
-0.4038780927658081,
-0.37785378098487854,
0.32753193378448486,
0.8295971155166626,
0.20661109685897827,
-0.6759654879570007,
-0.18017533421516418,
-0.043259695172309875,
-0.7886461019515991,
0.7712755799293... |
TASK 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 e... | Yes
| 8 | NIv2 | task1196_atomic_classification_oeffect | fs_opt | [
0.6128259301185608,
0.09097389131784439,
0.16229861974716187,
-0.10263339430093765,
-0.252257376909256,
-0.903246283531189,
1.208759069442749,
0.9076144099235535,
-0.352205753326416,
-0.16576853394508362,
-0.4225318133831024,
-0.3935181796550751,
-0.8315560221672058,
-0.09464740753173828,
... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write your answer in the form... | Alan feel(s) happy >Motivates> He was saw hip hop concert in front row. | 8 | NIv2 | task747_glucose_cause_emotion_detection | fs_opt | [
0.6801952719688416,
0.1552867889404297,
-0.33927488327026367,
0.7986600995063782,
-0.19794592261314392,
-0.8483904600143433,
0.2840692400932312,
0.266096293926239,
-0.5186513066291809,
-0.04663119465112686,
-0.6754155158996582,
0.06390169262886047,
-0.19644489884376526,
-0.1440389156341552... |
In this task, you're given the beginning and the ending of a three-part story. Your job is to complete the short story by writing a middle sentence that seamlessly connects the first and last sentence. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using an... | Solution: Mary and John decided to seek a counselor. | 5 | NIv2 | task067_abductivenli_answer_generation | fs_opt | [
-0.1666686236858368,
0.6637759208679199,
-0.33315587043762207,
-0.6753851771354675,
-0.4521177411079407,
0.1485343724489212,
0.5269420146942139,
0.7082438468933105,
-0.32251396775245667,
-0.2947443127632141,
-0.5726577043533325,
0.1330445557832718,
0.09672600030899048,
-0.19853809475898743... |
Given the task definition and input, reply with output. Given a sentence, fill out the missing word with a 'no' or a number (between zero and ten). You should write the numbers with english alphabet, like: four instead of 4.
Cockroaches have six legs, ____ antennae and some have wings.
| two | 5 | NIv2 | task1359_numer_sense_answer_generation | zs_opt | [
-0.9265923500061035,
0.5337495803833008,
0.16434431076049805,
-0.2538270056247711,
-0.0037507470697164536,
-0.08487500250339508,
0.8787918090820312,
-0.32982349395751953,
-0.5470650792121887,
-0.3387566804885864,
-0.005482242442667484,
-0.05324549973011017,
-0.7995299100875854,
-0.19618423... |
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 is 'ADJ'... | Output: INTJ
| 2 | NIv2 | task583_udeps_eng_coarse_pos_tagging | fs_opt | [
0.9011836051940918,
0.4098510444164276,
0.092247374355793,
-0.02643819898366928,
0.06034563481807709,
-0.7321712970733643,
0.8843610286712646,
0.8506548404693604,
-0.4773000478744507,
-0.22360801696777344,
-0.36134180426597595,
0.18831059336662292,
-0.5498472452163696,
0.487368106842041,
... |
Q: You have to predict the type of conversation sentence given as input. Your predictions can be one among: 'information' if the input statement states a piece of information, 'question' if the input statement asks for some information, 'directive' if the input sentence involves the management or guidance of operations... | information | 7 | NIv2 | task1531_daily_dialog_type_classification | zs_opt | [
-0.6887266635894775,
0.7674593925476074,
-0.14938120543956757,
-0.08513671159744263,
-0.06536832451820374,
-0.610702633857727,
0.5605284571647644,
-0.11803849041461945,
0.6059664487838745,
-0.043364670127630234,
-0.5343321561813354,
-0.20091930031776428,
-0.3095134198665619,
0.079573690891... |
This task is about classifying the sentiment of tweets in the Arabic language as POSITIVE or NEGATIVE. A positive (negative) sentiment indicates that the expressed opinion in the sentence is positive (negative). The input is a sentence is a sentence in Arabic and the output is the classified sentiment.
[Q]: انا كل يوم... | POSITIVE
| 5 | NIv2 | task1414_ajgt_twitter_ar_classification | fs_opt | [
-1.4496870040893555,
-0.0436980202794075,
0.5832961797714233,
-0.2799801826477051,
-0.5405234098434448,
-0.7545535564422607,
0.7782299518585205,
0.2957283556461334,
0.17707011103630066,
-0.2257959246635437,
-0.9486938714981079,
0.11100360751152039,
-0.31154417991638184,
0.3106895983219147,... |
In this task you are given a list of integers and you need to find the absolute value of the difference between each two consecutive values. The output should be a list of the absolute value of the differences of each two consecutive values.
Let me give you an example: [7, 1, 5, 8, -4]
The answer to this example can b... | [81] | 8 | NIv2 | task125_conala_pair_differences | fs_opt | [
-0.6577624678611755,
0.6020737886428833,
-0.7101945281028748,
-0.06779851764440536,
-0.47115159034729004,
-0.07936270534992218,
1.0335006713867188,
0.5486618280410767,
0.6408214569091797,
-0.402299165725708,
-0.06473739445209503,
-0.1493174284696579,
-0.12593065202236176,
0.175980895757675... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given music product reviews in Japanese language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
「ありがとう」の言葉を... | POS | 1 | NIv2 | task487_cls_japanese_music_classification | zs_opt | [
-0.22603587806224823,
0.008161423727869987,
0.13799208402633667,
0.12731826305389404,
0.6491483449935913,
-0.609488844871521,
0.7516313195228577,
0.020853636786341667,
0.16860973834991455,
0.20175442099571228,
-0.5869151949882507,
-0.4566804766654968,
0.2963677644729614,
0.0278012193739414... |
Detailed Instructions: In this task, you are given a dialogue from a conversation between an agent and a customer. Your task is to determine the speaker of the dialogue. Answer with "agent" or "customer".
Problem:Your patience is greatly appreciated. Margaret, I see that there is no reservation found under your name.
S... | agent | 8 | NIv2 | task575_air_dialogue_classification | zs_opt | [
0.2984495759010315,
0.1633656620979309,
0.019786031916737556,
-0.9449388980865479,
0.009566688910126686,
-0.5199465751647949,
0.4611940383911133,
-0.3005092144012451,
0.730519711971283,
0.0641423687338829,
0.15444764494895935,
-0.391478955745697,
-0.9139156937599182,
-0.25136229395866394,
... |
Teacher:In this task, you will be presented with a question, a word, and a POS tag. You have to determine whether the part-of-speech tag of the given word in the question is equal to the given POS tag or not. Give your answer with True or False. Here is the Alphabetical list of part-of-speech tags used in this task: CC... | False | 6 | NIv2 | task346_hybridqa_classification | zs_opt | [
-0.3075212836265564,
-0.3965807557106018,
-0.3605495095252991,
-0.03239179402589798,
0.11409450322389603,
-0.34070807695388794,
0.5382729768753052,
0.6757993102073669,
-0.19151753187179565,
-0.0063313078135252,
-0.6097977161407471,
0.13454687595367432,
0.13864697515964508,
-0.0396495833992... |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions of the participants in the sentence and those affected by it. Is any of these emotions caused by the sentence? You should write your answer in the form " A >Causes> B". Try to use phrases and sentences fro... | He doesn't know how to pour the cement >Causes> He feel(s) incompetent | 4 | NIv2 | task749_glucose_reverse_cause_emotion_detection | zs_opt | [
-0.30516356229782104,
0.6647166013717651,
0.5146781206130981,
-0.3790256083011627,
0.17737311124801636,
-1.3127087354660034,
0.38183146715164185,
1.4608595371246338,
0.000996618764474988,
0.2555265426635742,
-0.8949254751205444,
0.2008979767560959,
-0.04903777316212654,
-0.3944356143474579... |
In this task, you are given an input list A. You need to find all the elements of the list that are numbers and calculate their sum.
[Q]: ['E', 'v', 'l', 'c', 'g', '3929', 'q', 'j']
[A]: 3929
[Q]: ['1671', 'H', '9271']
[A]: 10942
[Q]: ['2547', 'A', 't', 'j', '9295', 'J', '6285', '321', 'S', '4387', '2123', 'V', 'd... | 36880
| 5 | NIv2 | task499_extract_and_add_all_numbers_from_list | fs_opt | [
-0.40334469079971313,
0.49052008986473083,
-0.3761288523674011,
-0.8934125900268555,
-0.13238205015659332,
-0.2312428057193756,
0.6161176562309265,
-0.33620160818099976,
-0.6433678269386292,
-0.27936843037605286,
-1.0396524667739868,
0.35416167974472046,
0.34147146344184875,
-0.26789152622... |
Definition: You are given a paragraph, with numbered sentences, and a question. Write the numbers of the sentences needed to answer the given question. Separate multiple sentence numbers with a comma (", "). E.g. "1, 2" would be the correct response if Sent 1 and Sent 2 are needed to answer the given question (do not i... | 4, 8. | 2 | NIv2 | task049_multirc_questions_needed_to_answer | zs_opt | [
0.2580259144306183,
0.42289984226226807,
-0.07656979560852051,
-0.11729270219802856,
0.5448548793792725,
-1.0417052507400513,
0.48828303813934326,
0.8027687072753906,
-0.11578471958637238,
0.5642383098602295,
-0.5228593349456787,
0.6446942090988159,
-0.5464181303977966,
-0.6126405596733093... |
In this task, you are given a sentence in the English and Hindi language. Your task is check if the Hindi sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
Input: Consider Input: English: A recent demonstration in Belgium saw farmers dump three ... | Output: No
| 2 | NIv2 | task434_alt_en_hi_answer_generation | fs_opt | [
-0.6217473149299622,
0.08801255375146866,
0.5102550983428955,
0.4323473572731018,
-0.10139546543359756,
-0.13814160227775574,
0.1852547824382782,
0.846636176109314,
-0.058098845183849335,
-0.05960536003112793,
-0.5577540993690491,
0.4679509699344635,
-0.5245686769485474,
-0.099416978657245... |
Teacher: 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 ... | personal | 2 | NIv2 | task1490_bengali_personal_hate_speech_binary_classification | fs_opt | [
-0.7349720001220703,
0.08731712400913239,
0.3225102722644806,
0.030202392488718033,
-0.27697116136550903,
-0.3822435438632965,
1.067402958869934,
0.3909735083580017,
0.17682680487632751,
0.2105882614850998,
-0.5391218662261963,
0.3216856122016907,
-0.13417775928974152,
-0.36347877979278564... |
A text is given in Bengali. Translate it from the Bengali language to the Urdu language. The translation must not omit or add information to the original sentence.
শ্রী দীপক খান্ডেকর তাঁর স্বাগত ভাষণে বলেন, বন ধন কর্মসূচিতে বাঁশ, মধু ও লাক্ষাকে অন্তর্ভুক্ত করার কারণ হল যে এই পণ্যগুলির বাজারে এমনিতেই চাহিদা আছে। | جناب دیپک کھانڈیکر نے اپنے استقبالیہ خطبے میں کہا کہ بانس ،شہد اورلاک کا مقصد ون دھن اسکیم کو آگے بڑھانا ہے ۔ یہ اشیا پہلے ہی بازار میں موجودہیں، جو قبائلی صنعت کاروں کی آمدنی کا بڑا ذریعہ ہیں۔ | 0 | NIv2 | task1069_pib_translation_bengali_urdu | zs_opt | [
-0.046331554651260376,
1.0744118690490723,
-0.8172785639762878,
-1.1980518102645874,
-0.6510806679725647,
-0.6271070837974548,
0.35225358605384827,
0.21132153272628784,
-0.2035164088010788,
0.0061591872945427895,
-0.44169604778289795,
-0.08035185933113098,
-0.7672728300094604,
0.1312770247... |
Q: 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.
Category: animal
Words: fish, raft, horse, bat, cat
A: | raft | 7 | NIv2 | task141_odd-man-out_classification_category | zs_opt | [
0.2890480160713196,
0.2678205668926239,
-0.6281764507293701,
0.4223840832710266,
-0.0686679482460022,
-0.5323218107223511,
0.1226523295044899,
0.3525177836418152,
-0.3882870674133301,
-0.5707563161849976,
-0.30982697010040283,
0.26251518726348877,
-0.999681830406189,
0.26405489444732666,
... |
Part 1. Definition
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 orde... | #1 return brown object
#2 return red object
#3 return shape of #1
#4 return shape of #2
#5 return Is #3 the same as #4 | 7 | NIv2 | task176_break_decompose_questions | fs_opt | [
0.7006359100341797,
-0.2786279022693634,
-0.7206550240516663,
0.4131624400615692,
0.09928406774997711,
-0.06585556268692017,
0.9994305372238159,
0.34417614340782166,
-0.2956138849258423,
0.3839246332645416,
-0.5846922397613525,
-0.03230172023177147,
0.050720807164907455,
0.4335228800773620... |
Definition: You will be given a context, a subject and a relation. Your task is to generate a question based on the subject and relation. The generated question should include the given subject. Try to use a minimum number of words that are not present in either context, subject or relation while generating question.
I... | What award was received by Franz Graf von Bellegarde? | 2 | NIv2 | task1325_qa_zre_question_generation_on_subject_relation | zs_opt | [
-0.028905566781759262,
0.47161149978637695,
-0.3544142246246338,
-0.279662549495697,
-0.19453121721744537,
-0.012327352538704872,
0.6172220706939697,
0.2852575182914734,
0.5766765475273132,
-0.2602761387825012,
-1.1420671939849854,
0.3605402708053589,
-0.6294025182723999,
0.868031978607177... |
Detailed Instructions: Given scientific fact as input, generate the question from this fact such that it can be answered from the input.
See one example below:
Problem: Earth rotates on its axis once times in one day.
Solution: How many times does Earth rotate on its axis in one day?
Explanation: The given output corre... | What is formed when an element gains one or more electrons? | 4 | NIv2 | task1552_scitail_question_generation | fs_opt | [
0.25266942381858826,
0.81468665599823,
-0.07623173296451569,
0.2824275493621826,
-1.2620563507080078,
-1.62855064868927,
0.1572413295507431,
-0.03262617066502571,
-0.596159815788269,
-0.12189681082963943,
-0.6082574725151062,
0.25924792885780334,
-0.9079853296279907,
0.10780724883079529,
... |
Detailed Instructions: In this task, you are given a context and four options. Each option is a suggested ending for the context. You should read the context and pick the best ending for the context. Please answer with "A", "B", "C", and "D".
Q: A woman in track pants and her daughters wash a small dog with soap and w... | A | 9 | NIv2 | task1389_hellaswag_completion | zs_opt | [
-0.6908657550811768,
0.5276287794113159,
-1.0325798988342285,
-0.12346374988555908,
-0.5767805576324463,
-0.5943765044212341,
-0.04953745752573013,
0.4644443392753601,
0.5578503608703613,
0.09125752747058868,
-0.18932893872261047,
0.3147906959056854,
0.8428304195404053,
-0.4947856664657593... |
Detailed Instructions: In this task, you are given a set of context paragraph and some supporting facts to answer a question. Your task is to generate answer for given question based on set of context paragraphs and supporting facts.
Q: Context_1 : The Battle of Jupiter Inlet occurred on January 15, 1838, between the S... | George Gordon Meade | 9 | NIv2 | task170_hotpotqa_answer_generation | zs_opt | [
0.21108266711235046,
-0.13152527809143066,
-0.6840994358062744,
-0.057156626135110855,
0.4654207229614258,
-0.6223201155662537,
0.6447018384933472,
1.0933899879455566,
-0.3657350540161133,
-0.08065399527549744,
0.07208441197872162,
0.07459869980812073,
-0.5083121657371521,
-0.4205392599105... |
Detailed Instructions: In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about that situation having read the premise. The update pro... | strengthener | 9 | NIv2 | task936_defeasible_nli_snli_classification | zs_opt | [
-0.4202144145965576,
0.14509272575378418,
-0.5796403884887695,
-0.12784352898597717,
-0.0783299058675766,
-0.841062605381012,
0.632379949092865,
1.5051418542861938,
0.3908928632736206,
0.09881478548049927,
-0.6704306602478027,
0.37749823927879333,
-0.5339608192443848,
0.2860398292541504,
... |
In this task, you are given one English 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 Swedish.
Q: ECDC role in Public Health Event (PHE)
A: ECDC:s roll vid folkhälsoinciden... | CE:
****
| 4 | NIv2 | task1395_europa_ecdc_tm_en_sv_translation | fs_opt | [
-0.6719527840614319,
-0.1876145601272583,
-0.4277946352958679,
-0.16056755185127258,
0.3540363311767578,
-0.6157509088516235,
0.27872493863105774,
0.1392439603805542,
0.11832601577043533,
0.5485119819641113,
-0.14490792155265808,
0.9691473245620728,
-0.38735687732696533,
0.1086898148059845... |
In this task you are given an anecdote. You must find out whether the anecdote is something the author has done or is considering doing. Label the instances as "HISTORICAL" when the author has already done something and label them as "HYPOTHETICAL" when the author is considering doing something in the future.
Q: 5 yea... | HYPOTHETICAL
****
| 4 | NIv2 | task282_scruples_event_time | fs_opt | [
0.6066494584083557,
0.008919606916606426,
-0.44958317279815674,
0.0919940248131752,
0.32293736934661865,
-0.6422488689422607,
0.9698804616928101,
1.076874017715454,
0.1850217878818512,
-0.2695101499557495,
-0.3253037929534912,
0.43797028064727783,
-0.2138480246067047,
0.2364652156829834,
... |
Teacher:You are given a sentence from a conversation between a human and a virtual assistant. Your task is to identify which one of following five services the sentence is related to - Media, Travel, Flights, Buses, RideSharing
Teacher: Now, understand the problem? Solve this instance: I want to find a good attraction ... | Travel | 6 | NIv2 | task881_schema_guided_dstc8_classification | zs_opt | [
-0.24081897735595703,
-0.04150497168302536,
0.20559629797935486,
-0.13326719403266907,
-0.15794327855110168,
0.5387319922447205,
0.31353646516799927,
0.6206082701683044,
0.47120898962020874,
0.042835574597120285,
-0.0969952642917633,
-0.5892320871353149,
-0.22215673327445984,
-0.2576450407... |
Q: In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story coherent / plausible by writing "1" or "2" in the output. If both sentences are plausible, pick the one that makes most sense.
Beginning: I woke up thi... | 1 | 7 | NIv2 | task069_abductivenli_classification | zs_opt | [
-0.4908945560455322,
0.6402261853218079,
0.533470094203949,
0.05375852435827255,
-0.49570828676223755,
-0.25714290142059326,
0.13338977098464966,
0.6760572195053101,
-0.019262712448835373,
-0.1645628809928894,
-0.5883668065071106,
-0.22443082928657532,
-0.5286980867385864,
-0.5672770738601... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence in Persian, and your task is to translate it into English.
دب ، خوشحال باش .
Output: | deb , cheer up . | 1 | NIv2 | task659_tep_fa_en_translation | zs_opt | [
0.19331848621368408,
0.37908464670181274,
-0.3208502531051636,
-0.5941287279129028,
-0.24393481016159058,
0.763549268245697,
1.2272602319717407,
-0.20809504389762878,
1.0632010698318481,
-0.14454999566078186,
-0.8203710317611694,
0.26666727662086487,
0.1887059509754181,
0.18565693497657776... |
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... | 一张卡可以用来追踪现金。
| 0 | NIv2 | task412_mickey_zh_sentence_perturbation_generation | fs_opt | [
-0.4001428484916687,
0.3217071294784546,
-0.06825017184019089,
-0.2024562656879425,
-0.15340597927570343,
-0.2533641457557678,
-0.6820666790008545,
0.730687141418457,
0.18451005220413208,
-0.35899829864501953,
0.01970827206969261,
-0.11744654178619385,
-0.06874805688858032,
0.4432701468467... |
Given the task definition and input, reply with output. You are given a sentence in Galician. Your job is to translate the Galician sentence into Arabic.
Será máis grande ca este escenario — - case ata a cuarta fila do público.
| لذا فهو يصغر هذا المسرح ربما للصف الرابع من الجمهور. | 5 | NIv2 | task1241_ted_translation_gl_ar | zs_opt | [
-0.07191595435142517,
1.129887342453003,
0.15754756331443787,
-0.7680873870849609,
0.4452416002750397,
-0.3146674335002899,
0.3947616517543793,
-0.05861422047019005,
0.29477977752685547,
0.5526670217514038,
-0.3037422001361847,
0.17329026758670807,
-0.671032190322876,
0.6354732513427734,
... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
Example: (Śmiech) Opublikował wiele filmów o przyrodzie.
Example solution: (Risate) E infatti aveva già pubblicato tanti video sulla natura.
Example explanation: The Polish sentence is correctly translated into Italian, becau... | Solution: E non vuole nemmeno che vada a trovarla. | 5 | NIv2 | task1262_ted_translation_pl_it | fs_opt | [
-1.0042800903320312,
0.861826479434967,
-0.1313469558954239,
0.06415708363056183,
-0.7291073799133301,
-0.19582417607307434,
0.3543802797794342,
-0.21639883518218994,
-0.1220690906047821,
-0.5089806914329529,
-0.6349221467971802,
0.4394225776195526,
-0.5495985746383667,
0.24168936908245087... |
Given the task definition and input, reply with output. Given a sentence in German, generate a new German 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... | Mail wird auf eine Art und Weise überprüft. | 5 | NIv2 | task416_mickey_de_sentence_perturbation_generation | zs_opt | [
-1.151477575302124,
0.8633474111557007,
0.5678576827049255,
-0.5181946754455566,
-0.07668039202690125,
0.06591638922691345,
0.7768827080726624,
0.7566715478897095,
0.5363150835037231,
-0.7172027826309204,
-0.5382301211357117,
0.2917439937591553,
-1.018608570098877,
0.0774630606174469,
-0... |
Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a classification of each word from the labels (reason) = [NO_DIFF (co... | ['NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'UNKNOWN_TYPE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'STEM_BASED_DIFF... | 8 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | fs_opt | [
0.3498329818248749,
0.02334924042224884,
-0.16792145371437073,
0.05654584616422653,
0.33420130610466003,
-0.16649723052978516,
0.31729811429977417,
1.0288320779800415,
-0.6443924307823181,
0.36401689052581787,
-0.1193753331899643,
-0.4594848155975342,
-0.31189489364624023,
-0.0561017058789... |
In this task, you are given a sentence in English and your task is to translate it into Spanish. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
One example is below.
Q: I declare resumed the session of the European Parliament adjourned on Friday 17 Decemb... | A nadie se le oculta que ello es indispensable para garantizar la seguridad en la zona y aportar cooperación al desarrollo que sirva para paliar las graves diferencias sociales existentes. | 9 | NIv2 | task530_europarl_en_es_translation | fs_opt | [
-0.13311560451984406,
0.8385629653930664,
-0.15183180570602417,
0.01582372561097145,
0.10847774893045425,
-0.49632710218429565,
0.5557057857513428,
0.7897862195968628,
-0.23394790291786194,
0.010760718025267124,
0.03619302809238434,
0.7856858968734741,
-0.760945737361908,
0.212624117732048... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the numerical elements in the given list. Return 0 if no numerical element in the list.
Let me give you an example: ['238', 'h', '92', 'U', '2799']
The answer to this ex... | 6 | 8 | NIv2 | task505_count_all_numerical_elements_in_list | fs_opt | [
-0.40271684527397156,
0.5049946904182434,
-0.2397761046886444,
-0.5357915163040161,
0.31680166721343994,
-0.6247045993804932,
0.4827861487865448,
-0.18257826566696167,
-0.5819948315620422,
0.5442585349082947,
-0.7333863377571106,
0.3698456585407257,
0.19626593589782715,
-0.3865457475185394... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the alphabetical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no alphabetical element is in the list.
['8177', '3... | 2
| 0 | NIv2 | task506_position_of_all_alphabetical_elements_in_list | fs_opt | [
0.3281620144844055,
0.0060266852378845215,
-0.46242856979370117,
-0.6334958076477051,
0.01648079976439476,
-0.4073697328567505,
0.8435384631156921,
0.5028637051582336,
-0.7006052732467651,
0.39739543199539185,
-0.467515230178833,
-0.06780797988176346,
-0.37984928488731384,
0.29588991403579... |
Given a scientific passage and an answer, generate a question for the given answer.
Passage: Carbohydrates include sugars, starches, and fiber. Sugars and starches are used by the body for energy. One gram of sugar or starch provides 4 Calories of energy. Fiber doesn’t provide energy, but it is needed for other uses. ... | The smallest part of an element that maintains the identity of that element is called what?
| 0 | NIv2 | task594_sciq_question_generation | fs_opt | [
1.029239296913147,
0.44967782497406006,
0.2633664309978485,
-0.897088348865509,
0.2311248779296875,
-0.8739712834358215,
-0.5867404937744141,
0.8814607262611389,
-0.25383543968200684,
-0.48083025217056274,
-0.2530421316623688,
-0.43929189443588257,
-0.3189743757247925,
-0.3030080199241638,... |
Given the task definition and input, reply with output. In this task, you need to answer the given multiple-choice question on geometry. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Problem: two isosceles triangles have equal vertical angles and their areas are in the ratio 9 : 25 . find the ratio of their ... | e | 5 | NIv2 | task1423_mathqa_geometry | zs_opt | [
-0.6159830093383789,
1.0913951396942139,
-0.03879449516534805,
-0.6127392053604126,
-0.2564454674720764,
0.5636441111564636,
1.0787615776062012,
0.3095504939556122,
-0.32991117238998413,
0.041639335453510284,
-0.827404260635376,
0.3243761658668518,
0.06293587386608124,
0.11777053028345108,... |
Detailed Instructions: You are given a piece of text. You should find out if there are any gender specific criticized comments. Label the text as 'gender criticism' or 'not gender criticism'
Q: transgenders need help...they are sick in the head. Civilization has messed up the world. Soon enough, people will claim to ha... | not gender criticism | 9 | NIv2 | task1606_ethos_text_classification | zs_opt | [
-0.9361974000930786,
0.19416430592536926,
0.6893624067306519,
0.3495398759841919,
-0.16700854897499084,
-0.9340484738349915,
-0.5332329869270325,
0.6398463845252991,
-0.12005637586116791,
-0.0328986793756485,
-0.08599920570850372,
-0.6574198603630066,
0.204321026802063,
-0.4079490900039673... |
Teacher: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 as the b... | jump opposite right twice and walk | 6 | NIv2 | task127_scan_long_text_generation_action_command_all | zs_opt | [
0.15472763776779175,
0.9750949740409851,
-0.46471789479255676,
-0.048396311700344086,
-0.2846415638923645,
0.4730609655380249,
0.24735158681869507,
0.641170859336853,
-0.45711174607276917,
-0.5243595242500305,
-0.7720202207565308,
-0.30377376079559326,
-0.8172646760940552,
-0.1895974278450... |
Q: You are given a sentence and a question in the input. If the information provided in the sentence is enough to answer the question, label "Yes", otherwise label "No". Do not use any facts other than those provided in the sentence while labeling "Yes" or "No". There are only two types of valid responses: Yes and No.
... | No. | 7 | NIv2 | task050_multirc_answerability | zs_opt | [
-0.5960996150970459,
0.8508467674255371,
0.4898821711540222,
0.5794711112976074,
-0.4867408573627472,
-1.2263524532318115,
0.34132713079452515,
1.2436354160308838,
0.5752682089805603,
-0.2261543869972229,
-0.28329792618751526,
0.5226632356643677,
0.25556012988090515,
-0.06416400521993637,
... |
In this task, you will be presented with the directions of a recipe separated by "," and have to fill in the "___" which is a step that is missing from the recipe.
Ex Input:
Brown hamburger in skillet.,Drain off any grease.,Place hamburger in soup kettle.,Add water.,Bring to a boil.,Boil on low heat for 15 minutes.,Ad... | Brown sugar and sour cream is mine.
| 1 | NIv2 | task572_recipe_nlg_text_generation | fs_opt | [
0.0248494204133749,
0.5092787146568298,
-0.05350765585899353,
1.3530540466308594,
-0.03254418075084686,
0.2893761396408081,
0.8919979333877563,
0.8274925351142883,
-0.4565759003162384,
-0.36435383558273315,
0.39070236682891846,
-0.033173635601997375,
0.19119064509868622,
-0.411605060100555... |
Given a passage classify if the passage has a definite objective/aim/goal or not. Output '1' if the passage has a defininte objective/aim/goal and output '0' if the passage does not have a definite objective/aim/goal.
Example Input: Genetic variants in DLG5, which encodes a scaffolding protein on chromosome 10q23, and... | 1
| 3 | NIv2 | task848_pubmedqa_classification | fs_opt | [
-0.21700972318649292,
0.02769497223198414,
-0.32772812247276306,
0.2866460680961609,
0.4781929850578308,
-0.16466638445854187,
0.17186161875724792,
0.7404254674911499,
0.6045539975166321,
0.4621325135231018,
-0.3949868679046631,
0.061076030135154724,
-0.4448298215866089,
0.1918820738792419... |
You will be given a definition of a task first, then some input of the task.
Given a paragraph, generate a claim that is supported by the given paragraph. 1) The claim must contain information from within the paragraph. 2) A sentence within the paragraph can be used as a claim. 3) The claim should not have contradictio... | Heavy drinking may raise abnormal heart rhythm risk. | 1 | NIv2 | task1368_healthfact_sentence_generation | zs_opt | [
1.0537700653076172,
0.14973436295986176,
-0.3312574625015259,
-0.1073935255408287,
0.4747636318206787,
-0.5230655670166016,
0.4265739917755127,
0.7105176448822021,
-0.17029085755348206,
0.38646018505096436,
0.009992435574531555,
0.02234206534922123,
-0.9942962527275085,
0.1359318196773529,... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to write a question that clarifies the given question in such a way that the generated question has one unique answer.
Example: Lucifer... | Who has the nfl record most tackles in a career? | 1 | NIv2 | task670_ambigqa_question_generation | fs_opt | [
-0.42981958389282227,
0.20039302110671997,
-0.1681579351425171,
0.32309234142303467,
0.4309813976287842,
0.07597564905881882,
0.11639164388179779,
0.6194472312927246,
-0.05885273590683937,
-0.29956749081611633,
-0.09217137098312378,
0.14768348634243011,
-0.1902962625026703,
0.1243496537208... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
Tamén nos levamos algunhas sorpresas. Botemos unha ollada.
Tuvimos algunas sorpresas. Veamos.
Pero foi unha idea interesante.
Pero fue un pensamiento interesante.
Jody Williams chamouno: É bo meditar.
| Jody Williams lo dijo: "" Es bueno meditar "".
| 0 | NIv2 | task1240_ted_translation_gl_es | fs_opt | [
-0.5607180595397949,
0.890159547328949,
-0.3749018907546997,
-0.49171024560928345,
-0.12030811607837677,
-1.8526015281677246,
1.05941903591156,
0.33106136322021484,
0.39272329211235046,
-0.04006277769804001,
-0.4267866313457489,
0.1515340507030487,
-0.7022761106491089,
0.5039534568786621,
... |
Detailed Instructions: In this task, you have given an input which is user's command or question, based on that you have to return what will be Agent's response/reply for that particular user's command or question
See one example below:
Problem: Hi Does R House have a full bar?
Solution: I'm unable to find whether R. H... | I've put that on your calendar. Your status is set to Unknown. | 4 | NIv2 | task1603_smcalflow_sentence_generation | fs_opt | [
0.22277973592281342,
0.7618462443351746,
0.04673365131020546,
0.5726416110992432,
-0.33908864855766296,
-1.5163216590881348,
1.2212332487106323,
0.02077014371752739,
0.10547478497028351,
-0.09258562326431274,
-0.3788752257823944,
0.1162763237953186,
-0.7316694855690002,
0.583372950553894,
... |
Detailed Instructions: In this task, you need to answer the given multiple-choice question on the general math. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Q: Problem: the average age of students of a class is 15.8 years . the average age of boys in the class is 16.4 years and that of the girls is 15.3 year... | e | 9 | NIv2 | task1420_mathqa_general | zs_opt | [
0.5121716260910034,
0.28711453080177307,
-0.5726010203361511,
-1.107602596282959,
-0.06836701184511185,
-0.24349206686019897,
0.6342673897743225,
0.9182910919189453,
0.06548463553190231,
0.19199678301811218,
-0.6285504698753357,
0.3563891053199768,
-0.2581326961517334,
-0.8198984861373901,... |
Given the task definition and input, reply with output. In this task, you are given a statement spoken by a politician in natural language. Your task is to generate the subject of the discussion for the given statement. The subject generated is not necessarily a part of the given input. Your answer should contain one o... | health-care | 5 | NIv2 | task613_politifact_text_generation | zs_opt | [
-0.40207386016845703,
0.8969106674194336,
0.10960674285888672,
-0.02057037502527237,
0.05791356414556503,
-0.3764341473579407,
0.2676231265068054,
0.10416962206363678,
0.6268948316574097,
-0.13006630539894104,
-0.2291506826877594,
0.47225049138069153,
-0.1772409826517105,
0.067485608160495... |
Detailed Instructions: Given a passage in simplified Chinese, generate a reading comprehension question. The question should be unambiguous and the answer to this question should be in the passage.
See one example below:
Problem: Passage: 《战国无双3》（）是由光荣和ω-force开发的战国无双系列的正统第三续作。本作以三大故事为主轴，分别是以武田信玄等人为主的《关东三国志》，织田信长等人为主的《战... | 张学友的哪些碟片成为当年台湾销量的冠军？ | 4 | NIv2 | task1402_clue_question_generation | fs_opt | [
0.6233537197113037,
0.2695251703262329,
-0.7570973038673401,
0.12310784310102463,
0.35461780428886414,
-0.2805783152580261,
0.7587324380874634,
1.2081305980682373,
-0.5805327892303467,
0.49036741256713867,
-0.032920483499765396,
0.291537880897522,
-0.7012600898742676,
-0.306453675031662,
... |
Teacher: 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. Show the gap in your question with a _ .
Teacher: ... | _ has blasted United for seeming to be comfortable with fourth after spending £220m on players. | 2 | NIv2 | task301_record_question_generation | fs_opt | [
-0.2860093116760254,
0.47573336958885193,
-0.8050550222396851,
-0.07978074252605438,
0.0945189893245697,
0.06744574010372162,
0.35596251487731934,
0.7153581976890564,
-0.19273698329925537,
0.26353710889816284,
-0.08581950515508652,
0.4195467233657837,
-0.8911612033843994,
-0.01099671609699... |
Translate from English to Hindi.
One example: Go to the employment office.
Solution is here: रोजगार कार्यालय जाओ.
Explanation: The translation is accurate.
Now, solve this: I do not care of it.
Solution: | कोइ बात नहीं. | 6 | NIv2 | task1329_open_subtitles_en_hi_translation | fs_opt | [
-0.17234134674072266,
0.0692560225725174,
0.03904510289430618,
0.5791429281234741,
-0.08539395034313202,
-0.5416586995124817,
-0.03762359917163849,
0.20838120579719543,
0.49612343311309814,
-0.1116565689444542,
-0.19549718499183655,
-0.1913091391324997,
-0.20635855197906494,
0.327040791511... |
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.
how popular is Creature?
A: | well known | 7 | NIv2 | task615_moviesqa_answer_generation | zs_opt | [
-0.5676804184913635,
0.2984689474105835,
-0.04454745352268219,
0.20894482731819153,
-0.7699331641197205,
-0.5543223023414612,
0.029097218066453934,
-0.6089906692504883,
0.043683845549821854,
-0.5356629490852356,
0.024718131870031357,
-0.08262195438146591,
-0.2848854064941406,
-0.0806038305... |
Detailed Instructions: In this task, you are given reviews written about the books in Bengali. You are expected to classify the sentiment of the reviews into two classes: positive or negative.
Q: বইটার শুরুতে সোহাগ ভাইয়ার কথা গুলো অসাধারণ লেগেছে। বইটির অনুবাদ সব কিছুকে ছাপিয়ে গেছে । অনুবাদকের সাবলীল ছন্দ চমৎকার । গল্পে... | positive | 9 | NIv2 | task1497_bengali_book_reviews_sentiment_classification | zs_opt | [
-0.7420457601547241,
0.24311508238315582,
0.38560616970062256,
-0.44682490825653076,
0.8426285982131958,
-0.35579848289489746,
1.1508424282073975,
0.05326612666249275,
0.40199556946754456,
-0.282975971698761,
-0.8033504486083984,
-0.44117775559425354,
-0.4073438048362732,
-0.07701684534549... |
Part 1. Definition
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... | for | 7 | NIv2 | task1727_wiqa_what_is_the_effect | fs_opt | [
-0.042690739035606384,
0.3787715435028076,
-0.8569654226303101,
-0.3708305358886719,
-0.5568020343780518,
-1.136017084121704,
0.5348392724990845,
0.820832371711731,
-0.18551084399223328,
0.17211152613162994,
-0.04746983200311661,
0.19935819506645203,
-1.1460819244384766,
0.2076419144868850... |
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 sentence or phrase in English. You must translate it to Xhosa in a way that is equivalent in terms of meaning and grammatically correct.
Rope and its Usage
Solution: In... | La mandla agqithisiweyo anokuba nesiphumo esinye okanye ezibini. | 0 | NIv2 | task872_opus_xhosanavy_translation_eng_xhosa | fs_opt | [
0.40361425280570984,
0.9453471899032593,
0.2251463085412979,
0.06607674062252045,
-0.5633804798126221,
-0.6355820894241333,
1.1117260456085205,
0.7460274696350098,
-0.2595556676387787,
-0.28089994192123413,
-0.2957531809806824,
-0.285823255777359,
-0.6652646064758301,
0.024282867088913918,... |
You are given an original reference as well as a system reference. Your task is to judge the quality of the system reference. If the utterance is grammatically correct and fluent output 1, else output 0.
[Q]: System Reference: where would you like it to be near to?
Original Reference: in which area are you looking for... | 0
| 5 | NIv2 | task1283_hrngo_quality_classification | fs_opt | [
-0.8314032554626465,
1.2394421100616455,
-0.20242996513843536,
-0.1298111081123352,
-0.41402000188827515,
-0.7958090901374817,
1.0535650253295898,
0.4336477220058441,
-0.14687904715538025,
-0.0525125116109848,
-0.2724944055080414,
0.020770225673913956,
-0.44726645946502686,
-0.322517693042... |
In this task, You are given an amazon food product review and its summary. Your task is to Generate "True" if given review and its summary match, otherwise generate "False".
Let me give you an example: I have bought several of the Vitality canned dog food products and have found them all to be of good quality. The pro... | True | 8 | NIv2 | task590_amazonfood_summary_correction_classification | fs_opt | [
-0.04467710852622986,
-0.3653247356414795,
-0.2343176305294037,
0.4877597689628601,
-0.20500774681568146,
-0.11910269409418106,
0.13443568348884583,
0.9754608869552612,
-0.8241194486618042,
0.02483299933373928,
0.10043835639953613,
0.4456261396408081,
-1.1205933094024658,
-0.17677944898605... |
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