inputs stringlengths 38 19.1k | targets stringlengths 0 8.28k | task_source stringclasses 1
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Teacher: In this task, you will be given two sentences sentence1 and sentence2. You should decide whether the second sentence is entailed(agreed) by the first sentence. If it does entail, answer "yes", else answer "no".
Teacher: Now, understand the problem? If you are still confused, see the following example:
sentence... | no | NIv2 | 1,529task970_sherliic_causal_relationship | fs_opt |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
Example: what is the first event mentioned?, Context: The Russian Revolution is the series of revolutions in Russia in 19... | Native | NIv2 | 421task1295_adversarial_qa_question_answering | fs_opt |
Definition: This task is about writing a correct answer for the reading comprehension task. Based on the information provided in a given passage, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete... | Sina Weibo | NIv2 | 74task075_squad1.1_answer_generation | zs_opt |
Teacher:In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how they appe... | If in at least one image there is a single brown front door under blue signage. | NIv2 | 811task184_break_generate_question | zs_opt |
Given a sentence in English language, translate the sentence to Somali language keeping the meaning of the original sentence intact
--------
Question: English sentence: Webpage load speed: Google take this very seriously.
Answer: xawaaraha load webpage: Google waxay qaadan kuwo aad u culus.
Question: English sentenc... | 21:3 Oo haddana waxaan maqlay cod weyn oo ka yimid carshiga, oo wuxuu ku yidhi: "Bal eeg rugta Ilaah waxay la jiro ragga. Oo isna wuxuu la degganaan doonaa iyaga, oo iyana waxay ahaan doonaan dadkiisa.
| NIv2 | 1,073task446_opus_paracrawl_en_so_translation | fs_opt |
In this task you are given a sentence. You must judge whether there exist two consecutive words within the sentence with flipped orders, that is, whether the sentence will make sense and be correct if the order of two consecutive words changes. Label the instances as "Inversion" or "Original" based on your judgment.
On... | Inversion | NIv2 | 1,056task428_senteval_inversion | fs_opt |
Teacher: 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 certain conditions ... | SELECT T1.first_name FROM employees AS T1 JOIN customers AS T2 ON T1.id = T2.support_rep_id WHERE T2.first_name = "Nancy" AND T2.last_name = "Edwards" | NIv2 | 76task077_splash_explanation_to_sql | fs_opt |
Detailed Instructions: In this task, you are given a sentence in Spanish and your task is to translate it into English. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
Problem:Lamento que el Parlamento no haya sido informado de la evolución del programa an... | I regret that Parliament was not informed about the appraisal of the previous programme, which would have enabled the new measures implemented to reach optimum efficiency, but I acknowledge that this was not an easy operation. | NIv2 | 1,158task531_europarl_es_en_translation | zs_opt |
Definition: You will be given a text in Russian language which contain different emotion labels from the list - ['joy', ' sadness', 'surprise', 'fear', 'anger']. You need to output the incorrect emotion label, which is irrelevant to the input text. Your answer (i) should contain only one emotion label (ii) should be un... | surprise | NIv2 | 757task1663_cedr_ru_incorrect_classification | zs_opt |
Detailed Instructions: In this task, given 2 input sentences, you must classify the relation between them. If the second sentence has a similar meaning to that of the first sentence then the output is ' B_entails_A', if the second sentence has the opposite meaning to the first sentence then it is classified as ' B_cont... | B_entails_A | NIv2 | 714task1615_sick_tclassify_b_relation_a | zs_opt |
Given the task definition and input, reply with output. 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.
Context: Rick Riker (Drake Bell) is an unpopular student at Empire High with his... | the dragonfly | NIv2 | 1,096task469_mrqa_answer_generation | 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.
In this task, you are given a sentence in either Spanish or English. Your task is to determine the language of the input sentence. Input sentences can only be in Spanish or English, and they cannot b... | Spanish | NIv2 | 1,160task533_europarl_es-en_language_identification | fs_opt |
Detailed Instructions: In this task, you are given sentences from movie reviews. The task is to classify a sentence as "POS" if the sentiment of the sentence is positive or as "NEG" if the sentiment of the sentence is negative
Q: The movie 's major and most devastating flaw is its reliance on formula , though , and it ... | NEG | NIv2 | 991task363_sst2_polarity_classification | zs_opt |
instruction:
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.
question:
name[The Waterman], foo... | Near Express by Holiday Inn, is Fitzbillies, with a family friendly environment average customer rating and reasonable pricing.
| NIv2 | 1,516task957_e2e_nlg_text_generation_generate | fs_opt |
Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.
Example: 1968 winter olympics
Example solution: Which Frenchman won the Alpine triple-crown at the 1968 Winter Olympics?
Example explanation: Both these questions ask a specific fact as the answer. So t... | Solution: Black Cat gave who their second No.1 of the 1990s? | NIv2 | 1,459task897_freebase_qa_topic_question_generation | fs_opt |
Q: You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.
Bardzo ważne jest dla mnie to, że nie wspieramy się żadną marką, czy wielkim sponsorem.
A: | Un punto realmente importante para min é que non uso ningunha marca nin empresas patrocinadoras. | NIv2 | 384task1261_ted_translation_pl_gl | zs_opt |
Detailed Instructions: In this task, you are given inputs 'i', 'j', and A, where 'i' and 'j' are integers and A is a list. A list is shown by two brackets and comma-separated numbers and characters inside, like ['1', '12', 'l']. You need to concatenate all elements of A from the ith element to the jth element, and then... | qJ7097 | NIv2 | 895task267_concatenate_and_reverse_all_elements_from_index_i_to_j | zs_opt |
In this task you will be given a process, and a question. The process contains a sequence of steps that happen in order. The question asks about the effect of a certain event on another event. If the first event has a positive effect on the second event, answer with "for", if it has a negative effect, answer with "agai... | Solution: for | NIv2 | 794task1727_wiqa_what_is_the_effect | fs_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 | 324task1207_atomic_classification_atlocation | zs_opt |
Given the task definition and input, reply with output. 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... | [-1269, -799, 49, 0, -17, -46305, 0, 0] | NIv2 | 1,419task852_synthetic_multiply_odds | zs_opt |
In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how they appear in th... | How many objects in the image? | NIv2 | 811task184_break_generate_question | fs_opt |
Definition: Indicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'.
Input: Tweet: @anonymized_account Najwyższa pora na blokadę. Następny krok delegalizacja. , Question: Is the tweet free of any cyberbullying (harmful) content?
Output: | Yes | NIv2 | 1,406task839_cdt_classification | zs_opt |
You are given a statement written in Assamese. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Statement: ১৯৪২ চনৰ ৰেল মানচিত্ৰ অনুসৰি ডিব্ৰু-শদিয়া ৰেলৱেৰ মুখ্য পথটো ডিবৰুমুখৰ পৰা আৰম্ভ হৈ লিডুত শেষ হৈছিল। ... | তিনিচুকীয়া | NIv2 | 1,503task944_wiki_cloze_as_multiple_choice_question_answering | zs_opt |
You will be given a definition of a task first, then some input of the task.
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... | no | NIv2 | 870task242_tweetqa_classification | zs_opt |
You will be given a definition of a task first, then some input of the task.
Given the sentence, generate "yes, and" response. "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of ... | Russets are for a 30th anniversary. 50th anniversary would be fingerlings. | NIv2 | 988task360_spolin_yesand_response_generation | zs_opt |
Teacher:In this task, you are given a sentence in either Spanish or English. Your task is to determine the language of the input sentence. Input sentences can only be in Spanish or English, and they cannot be in two languages at the same time.
Teacher: Now, understand the problem? Solve this instance: ¿Son mejores lo... | Spanish | NIv2 | 1,160task533_europarl_es-en_language_identification | zs_opt |
In this task, you are given an ambiguous question/query (which can be answered in more than one way) and a clarification statement to understand the query more precisely. Your task to classify that if the given clarification accurately clarifies the given query or not and based on that provide 'Yes' or 'No'.
Ex Input:... | Yes
| NIv2 | 855task227_clariq_classification | fs_opt |
Given a passage with a context and an answer, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating... | Are endometrial receptivity and implantation affected by the presence of uterine intramural leiomyomas : a clinical and functional genomics analysis? | NIv2 | 1,412task845_pubmedqa_question_generation | zs_opt |
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 humans using an edit word to make them funny.
Example in... | Not Funny | NIv2 | 1,122task495_semeval_headline_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.
In this task, you get an English sentence and a corresponding Spanish translation of the English sentence. Your task is to return a "Yes" if the translation is correct, otherwise return "No"
English... | No | NIv2 | 1,159task532_europarl_en-es_classification | fs_opt |
Q: In this task, you are given a sentence in English language and its corresponding French translation. Here, your job is to output "yes" if the translation is correct, otherwise output "no".
English: Why should we be concerned about KT in the health domain?
French: Au cours des trois dernières années, quel a été vot... | no | NIv2 | 1,398task831_giga_fren_classification | zs_opt |
Part 1. Definition
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.
Part 2. Example
Con... | who doesn't have the right mindset to lead the country? | NIv2 | 868task240_tweetqa_question_generation | fs_opt |
Part 1. Definition
You are given a sentence in English. Your job is to translate the English sentence into Hebrew.
Part 2. Example
Monterey is one of those.
Answer: מונטריי היא אחת מהם.
Explanation: The English sentence is correctly translated into Hebrew. The city `Monterey` is correctly translated as `מונטריי`.
Part ... | אפילו את נגרום לכולם לעבוד על זה, עלינו לפתח איסטרטגיה. | NIv2 | 340task1221_ted_translation_en_he | fs_opt |
Instructions: Given a sentence and an entity, the task is to select the authors sentiment towards the enity. Sentiments can be Positive, Neutral and Negative. Select Positive if the sentence expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the sentence expresses no ... | Neutral | NIv2 | 1,049task421_persent_sentence_sentiment_classification | zs_opt |
Part 1. Definition
In this task, you are given a sentence and a gender. The sentence mentions two professions: one's gender is unknown and the other's gender can be identified using the gendered pronouns that refer to them in the text. You are expected to return the profession with the given gender.
Part 2. Example
Sen... | Ceo | NIv2 | 971task343_winomt_classification_profession_anti | fs_opt |
You will be given a definition of a task first, then some input of the task.
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".
Monica was able to afford a luxury vacation, but Laura stayed home, because ... | A | NIv2 | 511task1391_winogrande_easy_answer_generation | zs_opt |
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 | NIv2 | 1,297task673_google_wellformed_query_classification | fs_opt |
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-appearanc... | gender
| NIv2 | 945task317_crows-pairs_classification_stereotype_type | fs_opt |
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... | Good
| NIv2 | 1,297task673_google_wellformed_query_classification | fs_opt |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to classify the conversation either convey 'No emotion' or 'Happiness' by providing '1' and '0', respectively.
Example Input: Person1: Are you still on your summer vacation ? ... | 1
| NIv2 | 631task1536_daily_dialog_happiness_classification | fs_opt |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
Problem:Ha contruído escuelas para enseñar a los niños a cuidar el bosque.
Solution: | Ha costruito scuole per insegnare ai bambini a curarsi della foresta. | NIv2 | 210task1101_ted_translation_es_it | zs_opt |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Polish.
Input: Consider Input: Trata-se de abertura, no sentido de os limites das organizações se tornarem mais porosos, mais fluidos mais abertos.
Output: Jest to otwartość w tym sensie, że ściany organizacji stają się poro... | Output: Po tej stronie jest kora skroniowa.
| NIv2 | 406task1281_ted_translation_pt_pl | fs_opt |
Detailed Instructions: In this task, you are given Twitter posts. Your task is to label the post's emotion (as expressed by the user) as sadness, joy, love, anger, fear, or surprise.
Problem:i am not sure why in that moment that i thought i would be able to feel it hellip but it was pretty funny
Solution: | surprise | NIv2 | 1,139task512_twitter_emotion_classification | zs_opt |
Detailed Instructions: A question is presented to you in this task, and your job is to write a potentially correct answer.
Q: where does jeb bush live?
A: | Midland | NIv2 | 534task1412_web_questions_question_answering | zs_opt |
You will be given a definition of a task first, then some input of the task.
You will be given one or more triples. The second part of each triple shows the relation between the first and the third element. Your task is to write a simple and short piece of text (sentence(s)) that describes the triples in natural langua... | Asherton Texas is in the United States. | NIv2 | 795task1728_web_nlg_data_to_text | zs_opt |
Q: Given a sentence in English language, translate the sentence to Tagalog language keeping the meaning of the original sentence intact.
English sentence: Flash game King of the hill
A: | Flash laro Hari ng ang burol | NIv2 | 1,075task448_opus_paracrawl_en_tl_translation | zs_opt |
In this task you will be given a list of numbers and you need to subtract every value in the list with the index it is at. The index of an elements shows its numerical order in the list(for example, in the list [7,10,4,5], the index of 7 is 1 and the index of 4 is 3) You should start the index at 1, so the first eleme... | [3, 5, 2, 6]
| NIv2 | 95task096_conala_list_index_subtraction | fs_opt |
Definition: In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. There are several possible answers, you'll need to choose the proper one. Carefully read the given text... | REFERENCE number | NIv2 | 932task304_numeric_fused_head_resolution | zs_opt |
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.
Input: If you have seen the Sholay of 1975, Don't watch this movie. If you have NOT seen the Sholay of 1975, Go WATCH IT. But do not watch this m... | negative | NIv2 | 912task284_imdb_classification | zs_opt |
Given a set of five words, generate the word from the set that does not belong (i.e. is the least relevant) with the other words. Words are separated by commas.
Ex Input:
air, fire, hire, ban, promote
Ex Output:
air
Ex Input:
fritter, apple, divide, blueberry, danish
Ex Output:
divide
Ex Input:
fortitude, hot do... | hot dog
| NIv2 | 552task142_odd-man-out_classification_no_category | fs_opt |
Given the task definition and input, reply with output. In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, ... | What is the color of the object that is closest to the smallestt object? | NIv2 | 811task184_break_generate_question | zs_opt |
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 input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it b... | Вы скорее всего найдете жильца в заброшенных домах.
| NIv2 | 1,038task410_mickey_ru_sentence_perturbation_generation | fs_opt |
Definition: In this task, you are given a sentence in the English and Japanese language. Your task is check if the Japanese sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
Input: English: Earlier South Africa restricted the kiwis for 221 for th... | Yes | NIv2 | 1,065task437_alt_en_ja_answer_generation | zs_opt |
Part 1. Definition
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian.
Part 2. Example
父が医師だったので父に担当してもらえるという大きな利点がありました父は母に見事な治療を施しました
Answer: Mio padre è medico. Ed è stato un grande vantaggio per noi. Si è occupato di lei in modo fantastico.
Explanation: The Japanese se... | Per piacere spenga la radio, Eleanor. | NIv2 | 204task1096_ted_translation_ja_it | fs_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... | Yes
****
| NIv2 | 322task1205_atomic_classification_isafter | fs_opt |
instruction:
You are provided with an arithmetic question. Your task is to compute the solution using the given arithmetic operations. The only arithmetic operators needed to answer the questions are'+'(addition) and'-'(subtraction). The answer should be correct to one decimal place.
question:
Fred has 5 baseball cards... | 562.0
| NIv2 | 1,316task745_ai2_arithmetic_questions_arithmetic | fs_opt |
Teacher: 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.
Teacher: Now, understand the proble... | (D) | NIv2 | 930task302_record_classification | fs_opt |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Polish.
彼らはそれ以上のものを得る資格がある」そして文字通り、その人物はニューハンプシャーの私のオフィスに座り「これらの若者に付けて、テーブルにある干しブドウかブドウを掴んで見る事無くそれらの違いが分かり壊さずに口まで運べる様なものを作って欲しい」と言いました遠心性神経、救心性神経、触覚反応
O... | A oni zasługują na więcej "". Dosłownie ten facet usiadł w moim gabinecie w New Hampshire i powiedział, "" Chcę żebyś zrobił coś co moglibyśmy założyć tym dzieciakom dzięki czemu podnieśliby ze stołu rodzynkę lub winogron, którą mogłiby wziąć do ust nie zgniatając jej przedtem, i mogłiby poczuć różnice bez patrzenia na... | NIv2 | 205task1097_ted_translation_ja_pl | zs_opt |
In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to generate a natural language interpretation of the given command.
Here are the definitions of logical operators:
1. count: returns the number of rows in the view
2. only: returns wheth... | select the rows whose office record fuzzily matches to former governor . select the row whose popular vote record of these rows is minimum . the candidate record of this row is buddy roemer . | NIv2 | 219task110_logic2text_sentence_generation | zs_opt |
Given the task definition and input, reply with output. Classify the given news commentary into the language in which it is written in. There are 12 languages to classify the sentences into, 1) English, 2) French, 3) Arabic, 4) Czech, 5) German, 6) Spanish, 7) Dutch, 8) Portuguese, 9) Italian, 10) Zhuang, 11) Japanese,... | English | NIv2 | 489task1370_newscomm_classification | zs_opt |
In this task, you're given a context passage. Your job is to generate relevant questions that can be answered by directly referring to the passage.
Ex Input:
Kai went to the movies and saw the new Lee movie.
Ex Output:
What will happen to Kai?
Ex Input:
On the way back to the main street , I spotted a couple of ele... | What semester might have I been attending prior to the final ?
| NIv2 | 1,223task596_mocha_question_generation | fs_opt |
In this task, you are given a sentence. You are expected to recognize the name of gene or protein. Although there might be several correct answers, you need to write one of them.
Example input: Sox - 4 is important for very early B - cell differentiation , while TCF - 1 / LEF - 1 play a crucial role in early thymocyte... | P - 450scc | NIv2 | 582task1481_gene_extraction_bc2gm_dataset | fs_opt |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
Let me give you an example: 地球が今よりも無垢だった時代を訪れたかのようでした
The answer to this example can be: كان الأمر كزيارة أكثر عصور البراءة على كوكب الأرض
Here is why: The Japanese sentence is correctly translated into Arabic, because th... | هي المرأة المذهلة التي تاهت ابنتها منذ 10 أعوام. ومنذ ذلك الوقت ، ظلت تبحث عن ابنتها. | NIv2 | 343task1224_ted_translation_ja_ar | fs_opt |
This task is in Spanish. Based on the given context, generate a question which can be answered by the given context. Generate a question that has more than 7 words. You can paraphrase the given context while forming the question.
Suggestion: The question may involve starting question words like WHERE, WHEN, HOW, WHAT ... | ¿Cómo quedaron los equipos?
| NIv2 | 455task1335_sqac_question_generation | fs_opt |
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 neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse ... | They are playing with a ball. | NIv2 | 812task184_snli_entailment_to_neutral_text_modification | zs_opt |
In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to write the character's motivation by doing a specific job, which is given in the sentence. Y... | None | NIv2 | 922task294_storycommonsense_motiv_text_generation | fs_opt |
Teacher:Given a sentence in Tagalog language, translate the sentence to English language keeping the meaning of the original sentence intact.
Teacher: Now, understand the problem? Solve this instance: Tagalog sentence: 3 Hayaan may . Patunayan na kung ay invertible pagkatapos .
Student: | 3 Let with . Prove that if is invertible then . | NIv2 | 1,078task451_opus_paracrawl_tl_en_translation | zs_opt |
In this task, you are given a sentence from the Bible in Persian, and your task is to translate it into English.
Ex Input:
و داغ به عوض داغ، و زخم به عوض زخم، و لطمه به عوض لطمه.
Ex Output:
If men strive, and hurt a woman with child, so that her fruit depart from her, and yet no mischief follow: he shall be surely pu... | Now the serpent was more subtil than any beast of the field which the LORD God had made. And he said unto the woman, Yea, hath God said, Ye shall not eat of every tree of the garden?
| NIv2 | 1,281task654_bible_fa_en_translation | fs_opt |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
アラビア語で語句や文を書くのはアラビア語で語句や文を書くのはまるで方程式を立てるようです個々の部分は極めて正確で多くの情報をもっています
Output: | Escribir unha palabra ou unha frase ou unha oración en árabe é como escribir una ecuación, porque cada parte é tremendamente precisa e leva consigo unha morea de información. | NIv2 | 203task1095_ted_translation_ja_gl | zs_opt |
In this task, you are given a sentence from the Bible in English, and your task is to translate it into Persian.
Let me give you an example: In the beginning God created the heaven and the earth.
The answer to this example can be: در ابتدا، خدا آسمانها و زمین را آفرید.
Here is why: This is a good example. The above se... | از بهایم پاک و ازبهایم ناپاک، و از پرندگان و از همه حشرات زمین، | NIv2 | 1,282task655_bible_en_fa_translation | fs_opt |
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.
Input: Sentence 1: Tommy Beresford. Sentence 2: Tommy Beresford is ... | no | NIv2 | 827task199_mnli_classification | zs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
--------
Question: @MrpresNick Soo annoyed I couldnt c u @ wembly last night! but LOVE the new album! Fav has 2 b before the storm with miley! A follow plz?
... | negative
| NIv2 | 823task195_sentiment140_classification | fs_opt |
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: political or non-political depending on the top... | non-political | NIv2 | 593task1491_bengali_political_hate_speech_binary_classification | fs_opt |
Q: This task is about translating a given English language sentence to Spanish.
(CROSSTALK)
A: | (DIALOGO CRUZADO) | NIv2 | 774task1691_qed_amara_translation | zs_opt |
instruction:
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Farsi.
question:
Não nos podemos permitir perder muitas mais.
answer:
و بیشتر از این نمیتوانیم این تلفات را تحمل کنیم.
question:
Nem estamos nos primeiros 10.
answer:
ما حتی جزو ده تای اول هم نیستیم.
question:... | پس انتخاب میکنیم که این عکسهارو ببینیم و باور کنیم
| NIv2 | 407task1282_ted_translation_pt_fa | fs_opt |
You will be given a definition of a task first, then some input of the task.
Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.
alesha dixon
Output: | Prior to 2005 Alesha Dixon was a member of which girl band? | NIv2 | 1,459task897_freebase_qa_topic_question_generation | zs_opt |
You will be given a definition of a task first, then some input of the task.
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 ... | SELECT T1.cName FROM College AS T1 JOIN Tryout AS T2 ON T1.cName = T2.cName WHERE T1.enr > 18000 GROUP BY T2.cName ORDER BY Count ( * ) Desc | NIv2 | 76task077_splash_explanation_to_sql | zs_opt |
Given the task definition, example input & output, solve the new input case.
Generate an explanation for the given claim using the provided supporting material from the paragraph. Please consider the following points while generating an output. 1) The claim will always have supporting proof in the paragraph, and the pa... | Missouri lawmakers wrapped up their work Friday by passing bills allowing people to vote by mail because of the coronavirus and ramping up criminal penalties in response to an uptick in violent crime in the state’s biggest cities. | NIv2 | 487task1369_healthfact_sentence_generation | fs_opt |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen before that sentence, or are likely to have happened before it. Does any of them directly cause it, or simply make it possible? You should write your answer in the form " A >causes/enables> B". Try to u... | Miranda gets hungry >Causes/Enables> Miranda wants chili | NIv2 | 1,241task614_glucose_cause_event_detection | fs_opt |
Given a real-life anecdote of a complex ethical situation, identify who is wrong here. Classify each post into the following categories : AUTHOR (if the author of the post is wrong in the situation), OTHER (if any of the others mentioned in the paragraph is wrong), EVERYBODY (if everyone mentioned is wrong) and NOBODY ... | NOBODY
| NIv2 | 1,125task498_scruples_anecdotes_whoiswrong_classification | fs_opt |
In this task, you will be presented with a question, and you have to write the part-of-speech tag for each word in the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposi... | WP VBZ DT JJ NN IN DT NN IN DT NN WP$ NN VBZ CD CD JJ NNS CC WP VBZ NNP DT NN TO DT JJ NN . | NIv2 | 973task345_hybridqa_answer_generation | zs_opt |
Q: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Polish.
ダビデ王は70歳まで生きました当時はかなりの長寿です
A: | Król Dawid dożył 70 lat — bardzo długo jak na jego czasy. | NIv2 | 205task1097_ted_translation_ja_pl | zs_opt |
You will be given a definition of a task first, then some input of the task.
In this task you will be given an arithmetic operation in Italian and you have to find its answer. The operations 'addition' and 'subtraction' have been replaced with their italian translations i.e you need to perform addition when you see 'ag... | 3781 | NIv2 | 85task086_translated_symbol_arithmetic | zs_opt |
In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's the correct sub... | True
| NIv2 | 302task1187_politifact_classification | fs_opt |
Detailed Instructions: In this task, you need to count the number of times the given letter appears in the given sentence.
Q: Sentence: 'a man wearing shades is standing next to a stop sign'. Find frequency of the letter 's'
A: | 6 | NIv2 | 252task113_count_frequency_of_letter | zs_opt |
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.
[Q]: ['6441... | 1, 2, 4, 7, 9, 11, 14, 16, 19, 21, 22, 23, 25, 26, 28, 29, 30, 31, 32, 34
| NIv2 | 1,133task506_position_of_all_alphabetical_elements_in_list | fs_opt |
Teacher: In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of the lists in the input list.
Teacher: Now, understand the problem? If ... | [-510952, -95175, 270, 0] | NIv2 | 999task371_synthetic_product_of_list | fs_opt |
Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's beli... | red_cupboard | NIv2 | 645task154_tomqa_find_location_hard_noise | zs_opt |
You will be given a definition of a task first, then some input of the task.
You are given a sentence and a question. You're expected to write an **incorrect** answer to the given question, such that it is relevant to the given sentence. Your answer should not be completely out of context. Try to write short answers wi... | Alicia | NIv2 | 502task1383_quarel_write_incorrect_answer | zs_opt |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
Foi horrible. Morreron persoas por culpa dunhas caricaturas.
とても気分の悪くなる出来事だった漫画のせいで人々が死んだのです
Nin se formulaba a pregunta.
でも私に迫られた選択は入院が必要かどうかではなく
Esta foi unha experiencia que se mantivo con nós por moito tempo, e an... | このときの経験は忘れられないものでしたそれから何年か後ワシントン DC に移った私たちは色々と考えました「ザ・ゲート」がセントラルパークという場所で実現したのと同じ方法で特定の場所でしか体験できない音楽を作ることは可能かと思うようになったのです
| NIv2 | 359task1239_ted_translation_gl_ja | fs_opt |
Q: Based on the given question and tppic, give an answer. The answer is available on on the internet. The questions are mostly centered around a single named entity.
concept: Chile question: what kind of money does chile use?
A: | ['Chilean peso'] | NIv2 | 699task1601_webquestions_answer_generation | zs_opt |
Given a post that is a real-life anecdote of a complex ethical situation and an associated claim about its type, verify if the claim is true or not. The claim asks if the posts are historical or hypothetical. The posts are "HISTORICAL" when the author has already done something and they are "HYPOTHETICAL" when the auth... | no | NIv2 | 1,128task501_scruples_anecdotes_post_type_verification | zs_opt |
In this task, you are given two sentences. Your task is to classify the given sentences as "Yes" if they have same meaning; otherwise, classify them as "No".
[EX Q]: Sentence-1: I eat fish as often as possible.<sep>Sentence-2: I have eaten a lot of seafood .
[EX A]: Yes
[EX Q]: Sentence-1: Nature can be very relaxin... | No
| NIv2 | 1,193task566_circa_classification | fs_opt |
The input is a tweet which can be classified as Hate Speech, Offensive or Normal. Given such a tweet, output the class the tweet belongs to. Hate Speech will contain threatening language towards the community targeted. Offensive language will contain abusive or discriminatory language towards the community targeted.
Q:... | Hate Speech | NIv2 | 605task1502_hatexplain_classification | zs_opt |
Q: Given a sentence in the Japanese, provide an equivalent translation in Bahasa Indonesia that retains the same meaning through the translation. In translation, keep numbers as it is.
この変更は、幾つかのワークステーションおよびRadiobrasのサーバーの最初の変更から、1年半ほどかかった。
A: | Perubahan tersebut dibutuhkan waktu sekitar 1 setengah tahun, sejak perubahan pertama beberapa stasiun-kerja dan beberapa server Radiobras. | NIv2 | 225task1115_alt_ja_id_translation | zs_opt |
You are shown a conversation between a user and system. Identify who has spoken the indicated sentence based on the conversation.
Sentence1: Don't worry, I should be able to help you. Do you know which station you'll be leaving from or going to? Sentence2: What is your destination? Sentence3: Hi, I am trying to plan a... | Answer: (B) System
| NIv2 | 1,265task638_multi_woz_classification | fs_opt |
In this task, you are given two lists A,B. Find the longest common subsequence in the lists A and B.
Ex Input:
[9945, 'B', 'P', 1687, 1255, 'E', 769, 2539, 'W', '9795', 'y', '1335', 'H', '999', '5451', 'V', '1087', 'e', 'H', '7027', '7313', 'v', '1101', 'j', 'Q', '2191', '8039', '1239', 'I', 'S', 'M', 'P', '4387', '47... | 7781, g, 7793, 7355, V, 5905, 9737, 1183, x, 4965, h, 7671, X, x, V, 2529, r, 2961, 5337, 993, 8789, 6837
| NIv2 | 1,232task605_find_the_longest_common_subsequence_in_two_lists | fs_opt |
Instructions: 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 wo... | What movement causes local changes to the condition of the atmosphere? | NIv2 | 39task040_qasc_question_generation | zs_opt |
You are given a question or fill-in-the-blank question, two answer options (Option1 and Option2) and an Explanation. Your task is to find the correct answer (return the string of the correct option, not option1/2) for the given question from the given options and using explanation.
Question: Ian has a model of early E... | faster | NIv2 | 805task178_quartz_question_answering | zs_opt |
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command.... | I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK | NIv2 | 393task126_scan_structured_text_generation_command_action_all | zs_opt |
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