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Q: In this task, you have to identify the named entities (NER) which are the ingredients required given its directions. Named entities are the names of the items without their quantity.
Preheat the oven to 400°F. Wrap beets in foil. Place in a large roasting pan. Bake for 30 mins. Remove from oven. Cool slightly. Peel ... | beets, acorn squash, onions, vegetable, fresh breadcrumbs, flat-leaf parsley, coarse grain mustard, Parmesan cheese, garlic, beef roast, baby spinach | NIv2 | task571_recipe_nlg_ner_generation | zs_opt |
Detailed Instructions: 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.
Problem:PersonX calls PersonX's wo... | sick. | NIv2 | task1595_event2mind_text_generation_1 | zs_opt |
Teacher: Construct a question that every answer in the list is correct and reasonable for it.
Teacher: Now, understand the problem? If you are still confused, see the following example:
umbrella, sunscreen, sun hat, sunglasses, cover up, shade
Solution: at the beach, name something that might protect you from sun.
Reas... | name a place where you're sometimes bothered by the person behind you. | NIv2 | task821_protoqa_question_generation | fs_opt |
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 The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ).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 | NIv2 | task1198_atomic_classification_owant | zs_opt |
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 plausibility, that is to have reasonable probability of it bei... | Ne pas être sûr des freins d'une voiture vous permettrait de consulter le fournisseur. | NIv2 | task406_mickey_fr_sentence_perturbation_generation | zs_opt |
You will be given a definition of a task first, then some input of the task.
In this task, find the most appropriate number to replace the blank (indicated with _ ) and express it in words.
Concentrations are the mean of replicate samples collected from _ lysimeters.
Output: | three | NIv2 | task672_nummersense | zs_opt |
Given a sentence in Spanish, generate a new Spanish 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... | Si usted desea a la tienda de comestibles entonces usted debe enumerar las necesidades de proteínas. | NIv2 | task417_mickey_es_sentence_perturbation_generation | fs_opt |
For the given English description, write an SQL command such that it accomplishes every step. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies... | SELECT count(*) WHERE {
FILTER ( M0 != M5 ) .
FILTER ( M0 != M6 ) .
FILTER ( M0 != M7 ) .
M0 ns:influence.influence_node.influenced M1 .
M0 ns:influence.influence_node.influenced M2 .
M0 ns:influence.influence_node.influenced M3 .
M0 ns:influence.influence_node.influenced M4 .
M0 ns:people.person.spouse_s/ns:people.mar... | NIv2 | task868_cfq_mcd1_explanation_to_sql | fs_opt |
In this task, you are given a country name and you need to return the abbrevation name of the given country.
Input: Consider Input: Montserrat
Output: MS
Input: Consider Input: Heard Island and McDonald Islands
Output: HM
Input: Consider Input: Lesotho
| Output: LS
| NIv2 | task1314_country_abbreviation | fs_opt |
Definition: You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
Input: The conversation with Stephanie was vexing.
Output: | female | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | zs_opt |
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 consistency, answers should be in all lower cased letters.
Example Input: Category: '70s MUSIC
Clue: This jazz-rock group gave us the songs "25 or 6 to... | silver
| NIv2 | task305_jeopardy_answer_generation_normal | fs_opt |
Instructions: Given a sentence and a label in Croatian, select the correct answer. There are 2 choices given, out of which only one is correct for a given statement and label. The label of the task is either 'cause' or 'effect'. The output will be the choice which matches the label with the given statement. If the labe... | Njegova se osmrtnica pojavila u novinama. | NIv2 | task1626_copa_hr_question_answering | zs_opt |
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.
Q: ຜູ້ຊ່ຽວຊານກ່ຽວກັບພູ ຊາວຝຣັ່ງ ເຣມີ ດີ ເກຣໂງຣີໂອ ຖອນໂຕອອກຈາກທົວ ຫຼັງຈາກທີ່ແຂນສອກຂອງຕົນໄດ້ຫັກໃນດ່ານທີ 4.
A: フランスの山岳スペシャリスト、レミー・ダイ・グレゴリオはステージ4の間に、肘を骨折... | 「これは正しく、これは、オーストラリア国民が負担する必要のない、１年に863ドルの余分な負担であります」
****
| NIv2 | task1125_alt_lo_ja_translation | fs_opt |
In this task, we ask you convert a data table of restaurant descriptions into fluent natural-sounding English sentences. The input is a string of key-value pairs; the output should be a natural and grammatical English sentence containing all the information from the input.
Q: name[Browns Cambridge], priceRange[cheap], ... | Browns Cambridge is fairly cheap in price but has a rating of 5 out of 5. | NIv2 | task957_e2e_nlg_text_generation_generate | zs_opt |
Detailed Instructions: Classify the given hotel review based on the sentiment it expresses into two classes: negative and positive.
See one example below:
Problem: I stayed at the Hilton Chicago for my cousins wedding. The service was impeccable. Not only was the staff attentive, they were respectful and careful not to... | negative | NIv2 | task902_deceptive_opinion_spam_classification | fs_opt |
Given the task definition and input, reply with output. You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Portugese.
אני חושבת שזהו זמן למהלך נועז.
| Acredito que está na hora de um passo arrojado. | NIv2 | task1114_ted_translation_he_pt | zs_opt |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Spanish.
Example: خوب ، من چیزی نمیگم ، اما در واقع یک واحد تحقیقات کوچک در در تورین ، ایتالیا به نام پروژه پروفایل هکرها وجود داره.
Example solution: Bueno, yo digo nada, pero en realidad hay una unidad de investigación muy, muy pequ... | Solution: 1917. Este es el momento cuando todos asumimos que, de algun modo, todo era perfecto, en terminos de lengua escrita. porque la gente en la serie televisiva "" Downton Abbey "" es elocuente, o algo asi. | NIv2 | task1267_ted_translation_fa_es | fs_opt |
The task is to generate text based off 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 intent behind doing the event, i.e. why did the person do that action.
One example: PersonX keeps ___ in mind
Solution is here: to rememb... | to have one less problem | NIv2 | task1596_event2mind_text_generation_2 | fs_opt |
In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every odd number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no odd numbers in an inner list you shoul... | [0, 19, -35, 19499, 7]
| NIv2 | task852_synthetic_multiply_odds | fs_opt |
Teacher:In this task, you are given books product reviews in German 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.
Teacher: Now, understand the problem? Solve this instance: Das etwas andere Rügenbu... | POS | NIv2 | task479_cls_german_books_classification | zs_opt |
Part 1. Definition
You are given a target race, and two sentences. Your task is to determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified notion of a group of people. An anti-stere... | unrelated | NIv2 | task320_stereoset_classification_race | fs_opt |
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.
Let me give you an example: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガルを下した。
The answer to this example can be: អ៊ីតាលីបានឈ្នះល... | សមាជិកគណៈវិនិឆ្ឆ័យនៅរ៉ូដ ប្រាគោជេវិចទៅលើការកាត់ក្តីទាក់ទងអំពើអំពើពុកលួយបានចាប់ផ្តើមការពិភាក្សាថ្ងៃទីប្រាំនៅព្រឹកនេះ ដែលមិនបានផ្ញើរកំនត់ហេតុទៅតុលាការអ្វីឡើយម្សិលម៉ិញនេះ។ | NIv2 | task1121_alt_ja_khm_translation | fs_opt |
In this task, you will be presented with a question in Persian. Based on the knowledge you need to answer the question, classify the question into "math_and_logic", "literature", or "common_knowledge".
One example is below.
Q: عدد 30 را بر نیم تقسیم می کنیم و سپس عدد 10 را به آن اضافه می کنیم. نتیجه کدام گزینه است؟
A: ... | literature | NIv2 | task474_parsinlu_mc_classification | fs_opt |
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 will be given a passage with an enumerated set of facts, a question of form 'Where is <person_name>?', and its answer. The task is to identify a supporting fact that is necessary to answer the qu... | Fact 2 | NIv2 | task084_babi_t1_single_supporting_fact_identify_relevant_fact | fs_opt |
Q: 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 numerical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no numerical element is in the list.
['9211', 'y', '... | 1, 3, 6, 7, 8, 10, 12, 15, 19, 20, 21 | NIv2 | task507_position_of_all_numerical_elements_in_list | zs_opt |
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 turn th... | what do animals find in hot temperatures?
| NIv2 | task040_qasc_question_generation | fs_opt |
Given the task definition, example input & output, solve the new input case.
A text is given in Marathi. Translate it from the Marathi language to the Oriya language. The translation must not omit or add information to the original sentence.
Example: ଯୁବ ଆଇଏଏସ୍ ଅଧିକାରୀଙ୍କୁ ପ୍ରଧାନମନ୍ତ୍ରୀଙ୍କ ଆହ୍ୱାନ : ନୂତନ ଭାରତର ଉତ୍ସାହ ନେ... | जगात अजूनही जे मागे आहेत, ज्यांना संधी मिळाली नाही त्यांच्यासाठी काहीतरी करावे. | NIv2 | task1056_pib_translation_oriya_marathi | fs_opt |
Teacher: In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that seamlessly connects with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick th... | a | NIv2 | task213_rocstories_correct_ending_classification | fs_opt |
Detailed Instructions: Given a sentence in the Indonesian(Bahasa variant), provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Problem:Baru-baru ini, pengurangan visa mengakibatkan efek mendalam bagi AS dan Meksiko.
Solution: | 現在ビザの減少によってメキシコとアメリカ両国に多大な影響が出ている。 | NIv2 | task1116_alt_id_ja_translation | zs_opt |
The input is a tweet which can be Hate Speech or Offensive. Given such a tweet, output a phrase from the tweet that makes it hate speech or offensive. The output should contain only one such phrase. The output has to be from within the tweet itself. Do not generate words or phrases not present in the tweet.
--------
Qu... | mudshark
| NIv2 | task1504_hatexplain_answer_generation | fs_opt |
Given a scientific passage and an answer, generate a question for the given answer.
Example input: 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 the followi... | The breasts contain what to give milk to feed a baby? | NIv2 | task594_sciq_question_generation | fs_opt |
Detailed Instructions: In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Among the entities, try to find the best entity that is most likely to fill in "_" and classify the answers based on options.
See one example below... | (H) | NIv2 | task302_record_classification | fs_opt |
Detailed Instructions: In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.
Q: Context: COR... | where was the speech given? | NIv2 | task240_tweetqa_question_generation | zs_opt |
In this task, you're given a passage, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
Example: Passage: The group was occasionally di... | Solution: Answer: 28 June 1919 | NIv2 | task238_iirc_answer_from_passage_answer_generation | fs_opt |
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".
The date for tonight made Sarah exciting unlike Lindsey, due to the fact that _ was an outgoing person. (A) Sarah (B) Lindsey | A | NIv2 | task1391_winogrande_easy_answer_generation | zs_opt |
TASK DEFINITION: A text is given in English. Translate it from the English language to the Tamil language. The translation must not omit or add information to the original sentence.
PROBLEM: 65 cities have participated in Stage II of the questionnaire.
SOLUTION: புதுமையான பணபரிவர்த்தனை முன்முயற்சிகளை மேற்கொள்ளும் இத்த... | தீபாவளியையொட்டி பிரிச்கஞ்ச் ராணுவ நிலையத்தில் இருந்த வீரர்கள் மற்றும் அவர்களது குடும்பத்தினருடன் பாதுகாப்பு துறை அமைச்சர் திருமதி. நிர்மலா சீதாராமன் கலந்துரையாடினார்.
| NIv2 | task991_pib_translation_english_tamil | fs_opt |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
Ahora bien, es fácil suponer que esos libros, que eran de una biblioteca llamada Al-Hikma eran libros musulmanes, sin embrago no es el caso porqu... | Now it's very easy to assume that those books, because they were from a library called Bait al-Hikma, were Muslim books, but that's not the case because the caliph that built that library, his name was al-Ma'mun — he was Harun al-Rashid's son. | NIv2 | task1226_ted_translation_es_en | zs_opt |
Combine the given two facts to write a concluding fact. Note that there should be some parts of the first and second facts that are not mentioned in this conclusion fact. Your combined fact should be the result of a chain between the two facts. Chains form when two facts connect together to produce a concluding fact. A... | pollution has a negative impact on the population size of a species. | NIv2 | task038_qasc_combined_fact | fs_opt |
instruction:
In this task, you're given a short article. Your job is to classify the article based on its category. Use the following classification labels, 0. World, 1. Sports, 2. Business, 3. Science or Technical. Label the text "0" if it contains information related to world. Label the text "1" if it contains inform... | 2
| NIv2 | task1541_agnews_classification | fs_opt |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: obscene and non-obscene. A comment is obscene if it is considered offensive to the public sense of decency, for example because it too obviously relates to sex or contains language regarded as ... | Non-obscene
| NIv2 | task326_jigsaw_classification_obscene | fs_opt |
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 ... | PersonX sewed the fabric to make a costume for PersonY, so _ got a nice outfit out of the deal.
| NIv2 | task035_winogrande_question_modification_person | fs_opt |
Definition: In this task, you are given books product reviews in English 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.
Input: 2.5 stars, tops. . the reviewer who states this book is a disappointmen... | NEG | NIv2 | task476_cls_english_books_classification | zs_opt |
Instructions: In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A preceding the last i elements. i will always have a value less than the length of A.
Input: 9, ['2013', 'c', '8791', 'u', '9697', 'g', 'Z', 'T', 'G', 'Z', 'v', 'I', '3853', 'Q', '7975'... | 2013, c, 8791, u, 9697, g, Z, T, G, Z, v, I, 3853, Q, 7975, x, 5645 | NIv2 | task078_all_elements_except_last_i | zs_opt |
Part 1. Definition
You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Part 2. Example
I have bought several of the Vitality canned dog food products and have found them all to be of good quality. The product looks... | Negative | NIv2 | task586_amazonfood_polarity_classification | fs_opt |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Farsi.
Input: Consider Input: Dlaczego uczniowie mają jeździć do szkoły tak daleko od domu?
Output: چون چرا بايد دانش آموزان ما مجبور به رفتن به جايى دور از محلى شوند كه زندگى مى كنند ؟
Input: Consider Input: OK, świetnie. Otw... | Output: یک نمونه از قدرت تغییر فن آوری در "" کایبرا "" Kibera است. یک نمونه از قدرت تغییر فن آوری در "" کایبرا "" Kibera است.
| NIv2 | task1263_ted_translation_pl_fa | fs_opt |
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 that can ... | The highest monthly inflation rate experienced by the country was _____, which is equivalent to a daily inflation rate of 98.01%. | NIv2 | task1407_dart_question_generation | zs_opt |
Given the task definition and input, reply with output. You are given a sentence in Italian. Your job is to translate the Italian sentence into Polish.
Una volta che hai la formula giusta puoi replicarla.
| Kiedy już ma się opracowany sposób można go powielać, | NIv2 | task1253_ted_translation_it_pl | zs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Let me give you an example: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be in bus... | positive | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
Teacher:In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story such that it seamlessly connects with the rest of the story.
Teacher: Now, understand the problem? Solve this instance: Title: Policy. Sentence 1: Tim was a CEO for his... | The policy change eradicated the efficiency in Tim's company. | NIv2 | task216_rocstories_correct_answer_generation | zs_opt |
Q: Given a document and an entity the task is to select the author's sentiment towards the entity. Sentiments can be Positive, Neutral and Negative. Select Positive if the article expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the document expresses no clear view ... | Neutral | NIv2 | task420_persent_document_sentiment_classification | zs_opt |
Detailed Instructions: In this task your given a passage in Catalan. you must ask a question in Catalan, that is relevant to the passage. A question that is constructed should be precise and based on factual information from the passage. A constructed question should be: (a) unambiguous (b) be directly answerable from ... | Quan va crear el Centre d'Estudis Històrics Internacionals? | NIv2 | task836_viquiquad_question_generation | zs_opt |
Languages typically provide more than one grammatical construction to express certain types of messages. Your task is to generate a senetence with the same meaning as given sentence, but with different grammatical construction.
One example is below.
Q: Bob took the woman from work a cake
A: Bob took a cake to the woman... | John flicked something to a woman wearing a hat | NIv2 | task132_dais_text_modification | fs_opt |
Given a sentence in Bulgarian, generate a new Bulgarian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of ... | И ще видя Моите знамения публично.
| NIv2 | task415_mickey_bg_sentence_perturbation_generation | fs_opt |
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 not useful.
Q: Context: Pres Obama recited poem on Bra... | yes
****
| NIv2 | task242_tweetqa_classification | fs_opt |
Detailed Instructions: In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A after the first i elements. i will always have a value less than the length of A.
Q: 1, ['2215', '1103', 'I', 'F', 'j']
A: | 1103, I, F, j | NIv2 | task064_all_elements_except_first_i | zs_opt |
The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Swedish Language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and form of each sentence in the Swedish language. 2)... | För den man som spår dåligt väder hyser vi däremot, endast bittra och hämndlystna tankar. | NIv2 | task1648_opus_books_en-sv_translation | zs_opt |
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 review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
I have bought several of the Vitality ca... | Negative | NIv2 | task586_amazonfood_polarity_classification | fs_opt |
Given the task definition, example input & output, solve the new input case.
In this task, you are given an input text which is in one of the 11 languages listed as follows: ['Oriya' 'Malayalam' 'Bengali' 'Gujarati' 'Hindi' 'English' 'Marathi'
'Panjabi' 'Tamil' 'Telugu' 'Urdu']. Identify the language of input text. Th... | Tamil | NIv2 | task976_pib_indian_language_identification | fs_opt |
In this task, you will be presented with a multiple-choice question in Persian, and you should answer the question based on your knowledge. Classify the answers based on options.
[Q]: کاتالیست به چه منظوری تعویض می گردد ؟ <sep> (A) حفظ محیط زیست وسلامت خود و دیگران (B) جلوگیری از مصرف بی رویه بنزین (C) افزاریش سرعت خو... | A
| NIv2 | task473_parsinlu_mc_classification | fs_opt |
Teacher: In this task you are given a sentence pair from wikipedia that have high lexical overlap. If the sentences have the same meaning and are just paraphrases of each other label them as "Paraphrase" , if not label them as "Not paraphrase". The two sentences are seperated by a new line.
Teacher: Now, understand the... | Not paraphrase | NIv2 | task400_paws_paraphrase_classification | fs_opt |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.
[EX Q]: Él me miró y me dijo: "¿Quieres decir que es como cuando hay que taladrar el cráneo de una persona?"
[EX A]: Popatrzył na mnie i powiedział: "Tak samo jak z wierceniem dziury w głowie?"
[EX Q]: Nunca, jamás, se dis... | 11-latkowie pokazują mi, co zbudowali z jego pomocą. Przerażające są możliwości dzieci, jeśli tylko dać im odpowiednie narzędzia.
| NIv2 | task1102_ted_translation_es_pl | fs_opt |
You will be given a definition of a task first, then some input of the task.
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.
what films was Aditya Dhar a writer on?
Output: | Aakrosh | NIv2 | task615_moviesqa_answer_generation | zs_opt |
Definition: Given a post that is a real-life anecdote of a complex ethical situation and a question asks if AUTHOR, NOBODY, EVERYBODY, or OTHER is wrong in the situation. Answer the question and classify your answers into yes or no.
Input: Is AUTHOR wrong in the post ? POST : I yelled bcz I got really annoyed that she ... | yes | NIv2 | task502_scruples_anecdotes_whoiswrong_verification | zs_opt |
In this task, you are given a text of the article. Your task is to generate a headline (title) for this article.
Example input: australia 's current account deficit shrunk by a record #.## billion dollars -lrb- #.## billion us -rrb- in the june quarter due to soaring commodity prices , figures released monday showed .... | party politics undermine german economic defences | NIv2 | task288_gigaword_summarization | fs_opt |
Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Galician.
Input: كنت ناظرا للواجهة الجملية — كان هناك 70 نافذة كبيرة — وعرفت ماذا وجب علي أن أفعل.
Output: | Mirei a fachada enteira (había 70 ventás en total) e souben o que tiña que facer. | NIv2 | task1105_ted_translation_ar_gl | zs_opt |
Detailed Instructions: Given a text, write a compressed version of it in a single sentence.
See one example below:
Problem: Except for this small vocal minority, we have just not gotten a lot of groundswell against this from members, " says APA president Philip G. Zimbardo of Stanford University.
Solution: "Except for ... | FEMA information officer Bill Lindsay announced Wednesday that the relief center will be open seven days a week from 9 a.m.to 6 p.m. | NIv2 | task1340_msr_text_compression_compression | fs_opt |
In this task, you are given inputs k, i, and A, where k and i are integers and A is a list. You need to find every ith element of A starting from the kth element. The process stops when the position of the next ith element exceeds the length of the list.
--------
Question: 1, 3, ['R', '6805', '2137', 'o', 'W', '5213', ... | l, 693
| NIv2 | task1551_every_ith_element_from_kth_element | fs_opt |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
Example: Tra di esse, si annovera il piccolo sistema in arabo detto al-jebr.
Example solution: Isto inclúe un sistema en árabe chamado al-jebra.
Example explanation: The Italian sentence is correctly translated into Galici... | Solution: Pero fiquei cun simple debuxo no chan. | NIv2 | task1252_ted_translation_it_gl | fs_opt |
In this task, you will be presented with a question in Dutch language, and you have to write the part-of-speech tag for each word and punctuation in the question. Here is the list of part-of-speech tags used in this task: Adj: Adjective, Adv: Adverb, Art: Article, Conj: Conjunction, Int: Interjection, N: Noun, V: Verb,... | N Prep N | NIv2 | task1543_conll2002_parts_of_speech_tagging_answer_generation | zs_opt |
Given the task definition and input, reply with output. You need to create a question containing a blank (_), based on the given context word. Your question must contain two persons --PersonX and PersonY. The expected answer to your question must be PersonX. PersonX and PersonY should not be equally likely to fill the ... | PersonX enjoyed welding has a hobby so they took a class from PersonY. _ learned a lot. | NIv2 | task032_winogrande_question_generation_person | zs_opt |
Teacher:Write an incorrect answer to the given question based on the associated fact. You are also provided with the correct answer to the given question. Make sure that your incorrect answer is relevant and similar to the associated fact. Also, try to make the incorrect answer similar to the correct answer so that dis... | human conversation. | NIv2 | task042_qasc_incorrect_option_generation | zs_opt |
Q: Given a pair of words, deduce the type of relationship between them. The various types of relations are: 'HYPER', 'COORD' and 'RANDOM'. Let's denote the first word by X and the second word by Y. A COORD relationship holds when X and Y belong to the same semantic class. A HYPER relationship applies when X is a specif... | HYPER | NIv2 | task1505_root09_semantic_relation_classification | zs_opt |
TASK DEFINITION: You are given a science question (easy-level) and four answer options (associated with "A", "B", "C", "D"). Your task is to find the correct answer based on scientific facts, knowledge, and reasoning. Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D'. There is ... | A
| NIv2 | task228_arc_answer_generation_easy | fs_opt |
Detailed Instructions: In this task you are expected to provide an SQL statement from an english description of what that SQL statement does. The description may include multiple steps but you should only ouput one SQL statement that accomplishes every step. An SQL query works by selecting data from a table where certa... | SELECT custid , name FROM ACCOUNTS WHERE name < "Brown" | NIv2 | task077_splash_explanation_to_sql | zs_opt |
Detailed Instructions: In this task, you're given a dialogue between a customer and a flight booking agent with a gap in the conversation. Your job is to find the answer of the previous dialogue. Avoid using irrelevant extra information while creating the answer. The answer should be relevant to the question before the... | customer: Nothing much to state. | NIv2 | task574_air_dialogue_sentence_generation | zs_opt |
instruction:
Given a real-life anecdote of a complex ethical situation, generate a suitable title that describes the main event/root cause of the situation. Imagine that the given text is a social media post, and you have to write the title of the post, so the users can decide to read the main text or not.
question:
So... | not wanting my dad walking me down the aisle at my wedding
| NIv2 | task500_scruples_anecdotes_title_generation | fs_opt |
In this task, you will be presented with an English sentence, and you have to translate it into Arabic.
One example: But if the shares belong to Geoffrey Charles, well, then George cannot touch them.
Solution is here: لكن لو كانت الأسهم بإسم جوفري تشارلز لن يمكن لجورج المساس بهم.
Explanation: This is a good example. Th... | أنت لم تدفع من اجل هذه الهدية عل الأقل | NIv2 | task651_opus100_en_ar_translation | fs_opt |
Given a sentence in Tagalog language, translate the sentence to English language keeping the meaning of the original sentence intact.
Tagalog sentence: Siya nai-publish ng isang numero ng kamulatan gumagana na kung saan nagkamit siya marami katanyagan.
He published a number of literary works which gained him considera... | He directed Ramanujam to work on some generalisations of the Waring problem to algebraic number fields.
| NIv2 | task451_opus_paracrawl_tl_en_translation | fs_opt |
Given a sentence in the Japanese and Central Khmer language. Your task is check if the Khamer sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Ex Input:
Japanese: 聖職者は、テロリストの攻撃の準備を手助けすると考えられる文書を所持していたことも否定している。
Khamer: អ្នកបួសក៏បដិសេធថាគាត់ក... | No
| NIv2 | task1123_alt_ja_khm_answer_generation | fs_opt |
Part 1. Definition
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Part 2. Example
For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe P... | negative | NIv2 | task284_imdb_classification | fs_opt |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
E la forza di questa cosa è che non lo fanno occasionalmente, bensì ogni settimana per tutta la vita. | E o poder que ten isto non é que se faga de cando en vez, senón que o fan tódalas semanas durante toda a vida. | NIv2 | task1252_ted_translation_it_gl | zs_opt |
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.
لقد كان نسجهم يتم من قبل أفضل النساجين الذين يعملون لساعات طويلة مستخدمين أدوات باهظة الثمن — كالصوف والحرير حتى خيوط الذهب والفضة
Output: | Richiedevano che orde di tessitori esperti lavorassero per lungo tempo con materiali molto costosi — lane, sete, e persino fili d'oro e d'argento. | NIv2 | task1106_ted_translation_ar_it | zs_opt |
Definition: In this task, you are given a context paragraph of the tweet and question. Your task is to generate right answer of given question based on given context tweet paragraph.
Input: Context: So, the three seconds when @RavenGates09 drops a chip in her hair is essentially my entire dating life in one scene. #Bac... | raven gates 09 | NIv2 | task239_tweetqa_answer_generation | zs_opt |
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.
Le... | Yes. | NIv2 | task050_multirc_answerability | fs_opt |
Instructions: Given a question and a context passage, generate the answer having the word or phrase from the context passage. Here, the answer should be a shortest continous span from the passage.
Input: Context: Coming off their win over the Dolphins, the Falcons stayed at home, donned their throwback uniforms, and pr... | falcons | NIv2 | task469_mrqa_answer_generation | zs_opt |
In this task, you are given Yelp reviews. The task is to classify a review as "POSITIVE" if the overall sentiment of the review is positive or as "NEGATIVE" if the overall sentiment of the review is negative.
Q: This was my second visit to Holder, but my first review. The temp outside was a wonderful 18 degrees as we ... | POSITIVE | NIv2 | task475_yelp_polarity_classification | zs_opt |
Given the task definition and input, reply with output. 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 th... | 1 | NIv2 | task069_abductivenli_classification | zs_opt |
Teacher:In this task, you need to generate an appropriate title for the given summary of some paragraph. The generated title must be short and should include the main topic of the given text. Your summary should be less than 20 words long.
Teacher: Now, understand the problem? Solve this instance: A 53-year-old man die... | Police search for driver after pedestrian killed near Torphichen | NIv2 | task1358_xlsum_title_generation | zs_opt |
Q: In this task, you are given a short passage that conveys a stereotype. A stereotype is an over-generalized belief about a particular group of people. You are expected to classify the passage into nine types of stereotype: race-color, socioeconomic, gender, disability, nationality, sexual-orientation, physical-appear... | physical-appearance | NIv2 | task317_crows-pairs_classification_stereotype_type | zs_opt |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | No | NIv2 | task1212_atomic_classification_hasproperty | fs_opt |
Detailed Instructions: In this task, you will be presented with a question in Dutch language, and you have to write the named entities from the question if present. B denotes the first item of a phrase and an I any non-initial word. Here is the list of terms used: person names (PER), organizations (ORG), locations (LOC... | Geert: B-PER, van: I-PER, de: I-PER, Walle: I-PER, Hal: B-PER | NIv2 | task1544_conll2002_named_entity_recognition_answer_generation | zs_opt |
In this task, you're given a review from Amazon. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good.
Input: Consider Input: Good quality and not difficult to install. The instructions state to trim... | Output: 4
| NIv2 | task1310_amazonreview_rating_classification | fs_opt |
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, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced w... | no | NIv2 | task422_persent_sentence_sentiment_verification | fs_opt |
In this task, you will be given a list of integers. You should remove all of the odd integers from the list(consider 0 an even number). If every integer in the input list is odd then an empty list ("[]") should be returned. Otherwise, answer with the list of even numbers separated by comma inside brackets.
Example Inp... | [-50, -80, -8]
| NIv2 | task369_synthetic_remove_odds | fs_opt |
Detailed Instructions: Given a scientific question and its correct answer, generate supporting facts for the answer. This supporting fact can be an explanation for the answer to the given question.
Q: Question: What is the measure of the energy released when an extra electron is added to an atom? Answer: electron affin... | Electron affinity is a measure of the energy released when an extra electron is added to an atom. | NIv2 | task593_sciq_explanation_generation | zs_opt |
You're given a sentence and your task is to classify whether the sentence is acceptable or not. Any sentence which is grammatically correct, has a naturalistic text, is written by a native speaker and which minimizes superfluous content is acceptable, otherwise unacceptable. If the sentence is acceptable then write "ac... | unacceptable
****
| NIv2 | task616_cola_classification | fs_opt |
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