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Instructions: In this task, you will be presented with a question and you have to answer the question based on your knowledge. Your answers should be as short as possible.
Input: How many MW is the power station formally listed on the stock exchanges of Pakistan in 2005 ?
Output: | 1,600 | NIv2 | task344_hybridqa_answer_generation | zs_opt |
In this task, you will be presented with a question and you have to answer the question based on your knowledge. Your answers should be as short as possible.
Example input: Who were the builders of the mosque in Herat with fire temples ?
Example output: Ghurids
Example explanation: This is a good example. Ghurids were... | 1,600 | NIv2 | task344_hybridqa_answer_generation | fs_opt |
Teacher:In this task, you're given a question, a context passage, and four options which are terms from the passage. After reading a passage, you will get a brief understanding of the terms. Your job is to determine by searching and reading further information of which term you can answer the question. Indicate your ch... | d | NIv2 | task231_iirc_link_classification | zs_opt |
Q: In this task, you will be presented with a text and a pronoun. You should write an implausible answer to the question of what is the pronoun's reference. Even though there exist multiple wrong answers, we only need a single wrong answer. Position of the pronoun in the text is showed within two "_"s.
Thomas Hermanns ... | TV-presenter | NIv2 | task331_gap_incorrect_answer_generation | zs_opt |
In this task, you're given a question, a context passage, and four options which are terms from the passage. After reading a passage, you will get a brief understanding of the terms. Your job is to determine by searching and reading further information of which term you can answer the question. Indicate your choice as ... | d | NIv2 | task231_iirc_link_classification | fs_opt |
Detailed Instructions: Given a scientific question, generate a correct answer to it.
Problem:Skeletal muscle cells and cardiac muscle cells share what property, which is not shared by smooth muscle cells?
Solution: | striations | NIv2 | task591_sciq_answer_generation | zs_opt |
You are given an amazon food product review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False".
Great value and much superior to what you find in stores. Makes a great snack or after dinner treat, but for those who are heal... | False | NIv2 | task587_amazonfood_polarity_correction_classification | zs_opt |
You will be given a definition of a task first, then some input of the task.
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 ... | Neutral | NIv2 | task421_persent_sentence_sentiment_classification | zs_opt |
Part 1. Definition
In this task, you will be presented with a text and a pronoun. You should write an implausible answer to the question of what is the pronoun's reference. Even though there exist multiple wrong answers, we only need a single wrong answer. Position of the pronoun in the text is showed within two "_"s.
... | TV-presenter | NIv2 | task331_gap_incorrect_answer_generation | fs_opt |
In this task, you will be presented with a question and you have to answer the question based on your knowledge. Your answers should be as short as possible.
Example Input: The Mclaren/Mercedes constructor who is nickname the `` The Flying Finn '' , how many formula one grand prix wins ?
Example Output: 2
Example Inp... | 1,600
| NIv2 | task344_hybridqa_answer_generation | fs_opt |
Definition: In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to determine which two sentences need to be swapped sentences in order to make a story that makes complete sense and is befittingly titled. Indicate your answer using the numbers of the two senten... | 32 | NIv2 | task218_rocstories_swap_order_answer_generation | zs_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".
Q: کدام کتاب اثر ویکتور هوگو نیست؟
A: | literature | NIv2 | task474_parsinlu_mc_classification | zs_opt |
Given a scientific question, generate a correct answer to it.
Let me give you an example: Who proposed the theory of evolution by natural selection?
The answer to this example can be: darwin
Here is why: This is a direct fact that Charles Darwin proposed the theory of evolution.
OK. solve this:
Skeletal muscle cells ... | striations | NIv2 | task591_sciq_answer_generation | fs_opt |
Q: In this task, you need to count the number of nouns/verbs in the given sentence.
Sentence: 'A closeup of a pizza with whole tomato slices'. Count the number of nouns in this sentence.
A: | 4 | NIv2 | task155_count_nouns_verbs | zs_opt |
Detailed Instructions: In this task, you will be presented with a question and you have to answer the question based on your knowledge. Your answers should be as short as possible.
Problem:What company took over the station with the lowest UHF number ?
Solution: | Viacom | NIv2 | task344_hybridqa_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.
You are given an amazon food product review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False".
I have... | False | NIv2 | task587_amazonfood_polarity_correction_classification | fs_opt |
Given the task definition, example input & output, solve the new input case.
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 ... | Neutral | NIv2 | task421_persent_sentence_sentiment_classification | fs_opt |
Teacher: In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to determine which two sentences need to be swapped sentences in order to make a story that makes complete sense and is befittingly titled. Indicate your answer using the numbers of the two sentences... | 32 | NIv2 | task218_rocstories_swap_order_answer_generation | fs_opt |
In this task, you are given a paragraph, a question, and a candidate incorrect answer to the question. Your goal is to judge whether the provided answer is a valid incorrect answer to a given question. An incorrect answer should not truthfully answer the given question. A good incorrect answer should be closely related... | No. | NIv2 | task057_multirc_classify_incorrect_answer | zs_opt |
Detailed Instructions: 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".
See one example below:
Problem: عدد 30 را بر نیم تقسیم می کنیم و سپس عدد 10 را به آن اضافه می ک... | literature | NIv2 | task474_parsinlu_mc_classification | fs_opt |
Definition: In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.
Input: Context: Aggressive periodontitis is characterized by rapid destruction of periodontal tissue caused by Aggregatibacter actinomyc... | A. actinomycetemcomitans induced IL-1β production and AIM2 inflammasome activation. Xylitol inhibited these effects, possibly by suppressing internalization of A. actinomycetemcomitans into cells. Thus, this study proposes a mechanism for IL-1β production via inflammasome activation and discusses a possible use for xyl... | NIv2 | task849_pubmedqa_answer_generation | zs_opt |
Instructions: 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.
Input: Rihanna says that she she still loves ex-boyfriend Chris Brown desp... | Rihanna 'still loves' Chris Brown after assault | NIv2 | task1358_xlsum_title_generation | zs_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 ... | Situated near The Portland Arms on the riverfront, north of the City centre, the 3-star '_____' coffee shop serves a range of moderately-priced fast foods. | NIv2 | task1407_dart_question_generation | zs_opt |
Given the task definition and input, reply with output. In this task, you are given a question and an answer. Answer "Yes" if the given answer correctly answers the question, otherwise answer "No".
how old is the singer bob seger, Answer: As a locally successful Detroit-area artist, he performed and recorded as Bob Se... | No | NIv2 | task1294_wiki_qa_answer_verification | zs_opt |
Teacher: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 sente... | The dentist has to pull his tooth >Causes> David feel(s) pained | NIv2 | task749_glucose_reverse_cause_emotion_detection | zs_opt |
Q: 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 sexual, ra... | Yes | NIv2 | task609_sbic_potentially_offense_binary_classification | zs_opt |
Detailed Instructions: You are shown a conversation between a user and system. Identify who has spoken the indicated sentence based on the conversation.
Problem:Sentence1: Booking was successful. The table will be reserved for 15 minutes. Reference number is : IMSY2GMJ . Is there anything else I can do for you today? S... | Answer: (A) User | NIv2 | task638_multi_woz_classification | zs_opt |
Detailed Instructions: 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 ev... | Yes | NIv2 | task1201_atomic_classification_xintent | zs_opt |
In this task, you're given a question, a context passage, and four options which are terms from the passage. After reading a passage, you will get a brief understanding of the terms. Your job is to determine by searching and reading further information of which term you can answer the question. Indicate your choice as ... | d
| NIv2 | task231_iirc_link_classification | fs_opt |
In this task, you will be presented with a text and a pronoun. You should write an implausible answer to the question of what is the pronoun's reference. Even though there exist multiple wrong answers, we only need a single wrong answer. Position of the pronoun in the text is showed within two "_"s.
--------
Question: ... | TV-presenter
| NIv2 | task331_gap_incorrect_answer_generation | fs_opt |
Part 1. Definition
In this task, you need to count the number of nouns/verbs in the given sentence.
Part 2. Example
Sentence: 'A small toy kept on tray held by a man'. Count the number of nouns in this sentence.
Answer: 3
Explanation: The words 'toy', 'tray', and 'man' are nouns in this sentence. So, the answer is 3.
P... | 4 | NIv2 | task155_count_nouns_verbs | fs_opt |
TASK DEFINITION: Given a scientific question, generate a correct answer to it.
PROBLEM: A mixture of a metal with one or more other elements is called?
SOLUTION: an alloy
PROBLEM: The nitrogen that enters living systems by nitrogen fixation is successively converted from organic nitrogen back into nitrogen gas by wha... | striations
| NIv2 | task591_sciq_answer_generation | fs_opt |
You will be given a definition of a task first, then some input of the task.
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 ou... | ['NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_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_DIF... | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | zs_opt |
Definition: You are given a set of queries separated by '
', and your job is to find out the query which is not a well-formed or well-structured query in terms of grammar, punctuations, or spelling errors.
Input: How do you clean polyester garden furniture ?
Best picture oscar 2001 ?
What is the name of the Russian spa... | Best picture oscar 2001 ? | NIv2 | task674_google_wellformed_query_sentence_generation | zs_opt |
Instructions: Evaluate the similarity between them and classify them into classes from 0-5 as follows:
0 : The two sentences are completely dissimilar.
1 : The two sentences are not equivalent, but are on the same topic.
2 : The two sentences are not equivalent, but share some details.
3 : The two sentences are roughly... | 5 | NIv2 | task1347_glue_sts-b_similarity_classification | zs_opt |
In this task, you are given the abstract of a research paper. Your task is to generate a summary of this abstract. Your summary should not be very short, but it's better if it's not more than 30 words.
Q: Ubuntu dialogue corpus is the largest public available dialogue corpus to make it feasible to build end-to-end
deep... | Combine information between pre-built word embedding and task-specific word representation to address out-of-vocabulary issue | NIv2 | task668_extreme_abstract_summarization | zs_opt |
In this task, you will be presented with a question and you have to answer the question based on your knowledge. Your answers should be as short as possible.
Let me give you an example: Who were the builders of the mosque in Herat with fire temples ?
The answer to this example can be: Ghurids
Here is why: This is a go... | Viacom | NIv2 | task344_hybridqa_answer_generation | fs_opt |
You are given an amazon food product review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False".
Tastes like drinking a cherry pie. I purchased this for my mother's gout and she told me it works quickly. It's also supposed t... | False
| NIv2 | task587_amazonfood_polarity_correction_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 are given a paragraph, a question, and a candidate incorrect answer to the question. Your goal is to judge whether the provided answer is a valid incorrect answer to a given questio... | No. | NIv2 | task057_multirc_classify_incorrect_answer | fs_opt |
Given a sentence and an entity, the task is to select the authors sentiment towards the enity. Sentiments can be Positive, Neutral and Negative. Select Positive if the sentence expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the sentence expresses no clear view tow... | Neutral
| NIv2 | task421_persent_sentence_sentiment_classification | fs_opt |
Q: Indicate with `Yes` if the given question involves the provided reasoning `Category`. Indicate with `No`, otherwise. We define five categories of temporal reasoning. First: "event duration" which is defined as the understanding of how long events last. For example, "brushing teeth", usually takes few minutes. Second... | Yes. | NIv2 | task019_mctaco_temporal_reasoning_category | zs_opt |
Detailed Instructions: In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write the required POS tag answering the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Dete... | IN | NIv2 | task382_hybridqa_answer_generation | zs_opt |
Teacher: In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Context: Chronic rhinosinusitis (CRS) is a hete... | A. actinomycetemcomitans induced IL-1β production and AIM2 inflammasome activation. Xylitol inhibited these effects, possibly by suppressing internalization of A. actinomycetemcomitans into cells. Thus, this study proposes a mechanism for IL-1β production via inflammasome activation and discusses a possible use for xyl... | NIv2 | task849_pubmedqa_answer_generation | fs_opt |
Definition: In this task you will be given a text passage from a trivia quiz. You should choose the category this question belongs to from these categories: History, Science, Social Science, Fine Arts, Literature. You can only choose one category, so if in doubt, please choose the closest match.
Input: This man and Bla... | Social Science | NIv2 | task521_trivia_question_classification | zs_opt |
Given the task definition and input, reply with output. You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical ans... | 78 | NIv2 | task867_mawps_multiop_question_answering | zs_opt |
Q: 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, colors, sports, etc. Abbreviation questions ask about abbreviations and ex... | Quantity | NIv2 | task1289_trec_classification | zs_opt |
In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to determine which two sentences need to be swapped sentences in order to make a story that makes complete sense and is befittingly titled. Indicate your answer using the numbers of the two sentences in order... | Output: 32
| NIv2 | task218_rocstories_swap_order_answer_generation | fs_opt |
Detailed Instructions: 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 ev... | No | NIv2 | task1212_atomic_classification_hasproperty | zs_opt |
Detailed Instructions: 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.
Q: Simmer cherry juice in a saucepan over medium-high heat, stirring frequently, until the juice is reduced to abo... | cherry juice, red wine vinegar, white vinegar, mustard, chile-garlic sauce, salt, grapeseed oil | NIv2 | task571_recipe_nlg_ner_generation | zs_opt |
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.
Example input: For many Brazilians, Michel Temer's ascension to president was surprisin... | Rihanna 'still loves' Chris Brown after assault | NIv2 | task1358_xlsum_title_generation | fs_opt |
Detailed Instructions: 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 s... | Situated near The Portland Arms on the riverfront, north of the City centre, the 3-star '_____' coffee shop serves a range of moderately-priced fast foods. | NIv2 | task1407_dart_question_generation | fs_opt |
This is a paraphrasing task. In this task, you're given a sentence and your task is to generate another sentence which express same meaning as the input using different words.
yes , but distantly distantly yes , distance you 've transformed your passion into a hobby you shouldnt treat your talent that way ! | yes , but remotely true yes , you 've turned your passion into a hobby . | NIv2 | task177_para-nmt_paraphrasing | zs_opt |
Given the task definition and input, reply with output. 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 with [Link].
Verify if the sentiment of the following document to... | yes | NIv2 | task422_persent_sentence_sentiment_verification | zs_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".
Q: متضاد کلمات مورد سؤال چیست؟ سترون
A: literature
****
Q: همه موارد از دیدگاه تاریخ ادبیات کاملا درست است؛ ب... | literature
****
| NIv2 | task474_parsinlu_mc_classification | fs_opt |
In this task, you are given a question and an answer. Answer "Yes" if the given answer correctly answers the question, otherwise answer "No".
Example: what latitude is tropic of cancer, Answer: It currently (Year 2013) lies at 23° 26′ 15.143′′ north of the Equator.
Example solution: Yes
Example explanation: This is a g... | Solution: No | NIv2 | task1294_wiki_qa_answer_verification | fs_opt |
In this task, you need to count the number of nouns/verbs in the given sentence.
--------
Question: Sentence: 'A red train engine coming into a station'. Count the number of nouns in this sentence.
Answer: 3
Question: Sentence: 'a bathroom view of a tiolet, bathtub sitting on a tiled floor'. Count the number of noun... | 4
| NIv2 | task155_count_nouns_verbs | fs_opt |
Detailed Instructions: In this task, you are given a short passage that conveys stereotype or anti-stereotype about a specific target. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. You are expected to classify the pass... | Profession | NIv2 | task280_stereoset_classification_stereotype_type | zs_opt |
TASK DEFINITION: In this task, you will be presented with a question and you have to answer the question based on your knowledge. Your answers should be as short as possible.
PROBLEM: What is the continues to place of the line that is displayed in the color purple on station placards , the formal subway map , and inter... | Viacom
| NIv2 | task344_hybridqa_answer_generation | fs_opt |
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... | The dentist has to pull his tooth >Causes> David feel(s) pained | NIv2 | task749_glucose_reverse_cause_emotion_detection | fs_opt |
Detailed Instructions: 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 ... | ADV | NIv2 | task583_udeps_eng_coarse_pos_tagging | zs_opt |
Part 1. Definition
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 co... | Yes | NIv2 | task609_sbic_potentially_offense_binary_classification | fs_opt |
In this task, you are given a paragraph, a question, and a candidate incorrect answer to the question. Your goal is to judge whether the provided answer is a valid incorrect answer to a given question. An incorrect answer should not truthfully answer the given question. A good incorrect answer should be closely related... | No.
| NIv2 | task057_multirc_classify_incorrect_answer | fs_opt |
You are shown a conversation between a user and system. Identify who has spoken the indicated sentence based on the conversation.
Let me give you an example: Sentence1:i need a place to dine in the center thats expensive Sentence2: I have several options for you; do you prefer African, Asian, or British food? Sentence... | Answer: (A) User | NIv2 | task638_multi_woz_classification | fs_opt |
You are given a sentence in English. Your job is to translate the English sentence into Arabic.
What does that even mean? | ما الذي يعنيه ذلك ؟ | NIv2 | task1220_ted_translation_en_ar | 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... | Yes | NIv2 | task1201_atomic_classification_xintent | fs_opt |
In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.
Input: Consider Input: Context: The bradycardic agent zatebradine (UL-FS 49) reduces heart rate without negative inotropic or proarrhythmic effects... | Output: A. actinomycetemcomitans induced IL-1β production and AIM2 inflammasome activation. Xylitol inhibited these effects, possibly by suppressing internalization of A. actinomycetemcomitans into cells. Thus, this study proposes a mechanism for IL-1β production via inflammasome activation and discusses a possible use... | NIv2 | task849_pubmedqa_answer_generation | fs_opt |
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.
Example Input: Urgent safety guidance for wagons carrying dangerous goods has been issu... | Rihanna 'still loves' Chris Brown after assault
| NIv2 | task1358_xlsum_title_generation | 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 ... | Situated near The Portland Arms on the riverfront, north of the City centre, the 3-star '_____' coffee shop serves a range of moderately-priced fast foods.
****
| NIv2 | task1407_dart_question_generation | fs_opt |
In this task, you are given a question and an answer. Answer "Yes" if the given answer correctly answers the question, otherwise answer "No".
[Q]: what is the name of the wizard of oz, Answer: The Wizard of Oz, known during his reign as The Great and Powerful Oz, is the epithet of Oscar Zoroaster Phadrig Isaac Norman ... | No
| NIv2 | task1294_wiki_qa_answer_verification | fs_opt |
You will be given a definition of a task first, then some input of the task.
Given a disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence.
What wasn't Chief Hendrick er uh William Johnson's role in British military?
Output: | What wasn't William Johnson's role in British military? | NIv2 | task1195_disflqa_disfluent_to_fluent_conversion | zs_opt |
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... | The dentist has to pull his tooth >Causes> David feel(s) pained
| NIv2 | task749_glucose_reverse_cause_emotion_detection | fs_opt |
Definition: 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'... | No | NIv2 | task227_clariq_classification | zs_opt |
Given the task definition, example input & output, solve the new input case.
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 ou... | ['NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_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_DIF... | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | fs_opt |
Teacher: You are given a set of queries separated by '
', and your job is to find out the query which is not a well-formed or well-structured query in terms of grammar, punctuations, or spelling errors.
Teacher: Now, understand the problem? If you are still confused, see the following example:
How many miles is 43560 ?... | Best picture oscar 2001 ? | NIv2 | task674_google_wellformed_query_sentence_generation | fs_opt |
Evaluate the similarity between them and classify them into classes from 0-5 as follows:
0 : The two sentences are completely dissimilar.
1 : The two sentences are not equivalent, but are on the same topic.
2 : The two sentences are not equivalent, but share some details.
3 : The two sentences are roughly equivalent, b... | 5 | NIv2 | task1347_glue_sts-b_similarity_classification | fs_opt |
Instructions: You are given a short paragraph, a question and two choices to answer from. Choose the correct answer based on the paragraph and write the answer(not the key).
Input: Paragraph: Objects with greater mass have greater inertia.
Question: When something is very lightweight what does it need to move?
Choic... | less inertia | NIv2 | task1731_quartz_question_answering | zs_opt |
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 sexual, racia... | Yes
| NIv2 | task609_sbic_potentially_offense_binary_classification | fs_opt |
Detailed Instructions: In this task, you are given the abstract of a research paper. Your task is to generate a summary of this abstract. Your summary should not be very short, but it's better if it's not more than 30 words.
See one example below:
Problem: Mixed precision training (MPT) is becoming a practical techniqu... | Combine information between pre-built word embedding and task-specific word representation to address out-of-vocabulary issue | NIv2 | task668_extreme_abstract_summarization | fs_opt |
TASK DEFINITION: You are shown a conversation between a user and system. Identify who has spoken the indicated sentence based on the conversation.
PROBLEM: Sentence1: I would prefer one of the expensive places. Need to impress my guests, you know? Sentence2: I see one moderately priced Indian restaurant in that area, a... | Answer: (A) User
| NIv2 | task638_multi_woz_classification | fs_opt |
instruction:
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 h... | Yes
| NIv2 | task1201_atomic_classification_xintent | fs_opt |
Given the task definition and input, reply with output. In this task you are given a tweet that contains some form of irony. You must classify the type of irony the tweet has. Label the tweets ("polarity","situational","other") based on the irony they have. Situational irony happens when a situation fails to meet some ... | polarity | NIv2 | task387_semeval_2018_task3_irony_classification | zs_opt |
Part 1. Definition
Indicate with `Yes` if the given question involves the provided reasoning `Category`. Indicate with `No`, otherwise. We define five categories of temporal reasoning. First: "event duration" which is defined as the understanding of how long events last. For example, "brushing teeth", usually takes few... | Yes. | NIv2 | task019_mctaco_temporal_reasoning_category | fs_opt |
Detailed Instructions: Given a trivia question, classify broad topical category from this list: 'theater', 'geology', 'book', 'tv', 'astronomy', 'aviation', 'military', 'government', 'boxing', 'projects', 'metropolitan_transit', 'law', 'venture_capital', 'broadcast', 'biology', 'people', 'influence', 'baseball', 'space... | film | NIv2 | task900_freebase_qa_category_classification | zs_opt |
In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write the required POS tag answering 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... | IN | NIv2 | task382_hybridqa_answer_generation | fs_opt |
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', 'PUNCUATION_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_DIF... | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | fs_opt |
You are given a set of queries separated by '
', and your job is to find out the query which is not a well-formed or well-structured query in terms of grammar, punctuations, or spelling errors.
Input: Consider Input: How does a yam taste like ?
What is the salary for a piano musician ?
How do you verify your account o... | Output: Best picture oscar 2001 ?
| NIv2 | task674_google_wellformed_query_sentence_generation | fs_opt |
Teacher: In this task you will be given a text passage from a trivia quiz. You should choose the category this question belongs to from these categories: History, Science, Social Science, Fine Arts, Literature. You can only choose one category, so if in doubt, please choose the closest match.
Teacher: Now, understand t... | Social Science | NIv2 | task521_trivia_question_classification | fs_opt |
You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.
Example: For the school bake sale Bianca made 14 cu... | Solution: 78 | NIv2 | task867_mawps_multiop_question_answering | fs_opt |
Evaluate the similarity between them and classify them into classes from 0-5 as follows:
0 : The two sentences are completely dissimilar.
1 : The two sentences are not equivalent, but are on the same topic.
2 : The two sentences are not equivalent, but share some details.
3 : The two sentences are roughly equivalent, b... | 5
| NIv2 | task1347_glue_sts-b_similarity_classification | fs_opt |
Instructions: In this task, you are given a post in Spanish from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, it should... | Hateful | NIv2 | task334_hateeval_classification_hate_es | zs_opt |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. You are required to assign a label 'formal' if there is an absence of emotion and a presence of questions anywhere within the conversation. If such pattern is not found assign the label 'informal'... | informal | NIv2 | task1533_daily_dialog_formal_classification | zs_opt |
Part 1. Definition
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, colors, sports, etc. Abbreviation questions ask about abbr... | Quantity | NIv2 | task1289_trec_classification | fs_opt |
In this task, you are given the abstract of a research paper. Your task is to generate a summary of this abstract. Your summary should not be very short, but it's better if it's not more than 30 words.
Q: We show that information about whether a neural network's output will be correct or incorrect is present in the ou... | Combine information between pre-built word embedding and task-specific word representation to address out-of-vocabulary issue
****
| NIv2 | task668_extreme_abstract_summarization | fs_opt |
Given the task definition and input, reply with output. In this task, you are given a context paragraph, a question based on that and corresponding answer of a question. Your task is to generate supporting fact/knowledge from context paragraph which helps in answering a given question.
"Can I Be Him" is a song perform... | Can I Be Him is a song performed by British singer and songwriter James Arthur. | NIv2 | task192_hotpotqa_sentence_generation | zs_opt |
Teacher: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 crea... | Who were Rani's costars in her third movie? | NIv2 | task235_iirc_question_from_subtext_answer_generation | zs_opt |
Detailed Instructions: 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 ca... | No | NIv2 | task609_sbic_potentially_offense_binary_classification | zs_opt |
In this task the focus is on physical knowledge about the world. Given the provided goal task in the input, describe a process that would lead to the asked outcome. This process often involves physical motions with objects, such as moving them, arranging them in a certain way, mixing them, shaking them, etc.
To keep ... | you can use a cup to place them in. | NIv2 | task080_piqa_answer_generation | zs_opt |
You will be given a definition of a task first, then some input of the task.
Given an trivia question precisely answer the question with a word/phrase/name. External resources such as Wikipedia could be used to obtain the facts.
1 Which cocktail consisting of tequila and triple sac and lemon or lime juice has a name w... | margarita | NIv2 | task898_freebase_qa_answer_generation | 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 |
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.
One example is below.
Q: Preheat oven to 375 degrees., Boil syrup, sugar and shortening over medium heat, stirring constantly., Remove fr... | cherry juice, red wine vinegar, white vinegar, mustard, chile-garlic sauce, salt, grapeseed oil | NIv2 | task571_recipe_nlg_ner_generation | fs_opt |
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