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In this task, you will be given two sentences separated by ", so". You should decide whether the first sentence can be the cause of the second sentence. If you can see a possible causation, answer with "plausible", otherwise answer with "not plausible".
--------
Question: It got dark outside, so didn't help us
Answer:... | task391_causal_relationship | conceptofmind/niv2_submix_original-NIv2-task391_causal_relationship-fs_opt | en |
In this task, you are given a text of article and corresponding title of an article. Your task is to generate label "yes" if headline (title) is right for article, otherwise generate "no".
[Q]: Article: president dmitry medvedev insisted monday that russian markets were not in crisis despite a seven-percent fall that ... | task289_gigaword_summarization | conceptofmind/niv2_submix_original-NIv2-task289_gigaword_summarization-fs_opt | en |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: sexual-explicit and non-sexual-explicit. A comment is considered sexual-explicit if it explicitly portrays sexual matters.
--------
Question: Comment: Amazingly the media has not emphasized the... | task323_jigsaw_classification_sexually_explicit | conceptofmind/niv2_submix_original-NIv2-task323_jigsaw_classification_sexually_explicit-fs_opt | en |
TASK DEFINITION: In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. Once you create a question you also need to provide the correct answer for it. Write your answer like "Question: your question, Answer: your answer". Th... | task182_duorc_question_generation | conceptofmind/niv2_submix_original-NIv2-task182_duorc_question_generation-fs_opt | en |
Detailed Instructions: 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 language.
See one example below:
Problem: Amsterdam_Airport_... | task1728_web_nlg_data_to_text | conceptofmind/niv2_submix_original-NIv2-task1728_web_nlg_data_to_text-fs_opt | en |
In this task, you're given a review from Amazon's food products. Your task is to generate a short summary of the given review in the input. Note that you don't need to write a complete sentence as a summary.
--------
Question: This Melitta Riviera Sunset blend is a nice, and light coffee that is suitable for anytime of... | task589_amazonfood_summary_text_generation | conceptofmind/niv2_submix_original-NIv2-task589_amazonfood_summary_text_generation-fs_opt | en |
Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's belief does not match reality, and the third is when an individual has a ... | task152_tomqa_find_location_easy_noise | conceptofmind/niv2_submix_original-NIv2-task152_tomqa_find_location_easy_noise-fs_opt | en |
In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to return the sum of all the numerical elements in the list A between the positions i and j (including positions i and j). Return 0 if no numerical element is present in the list between the given ranges. i and j will be... | task606_sum_of_all_numbers_in_list_between_positions_i_and_j | conceptofmind/niv2_submix_original-NIv2-task606_sum_of_all_numbers_in_list_between_positions_i_and_j-fs_opt | en |
In this task, you will be presented with a question in Dutch language, and you have to write the location names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Identifier used for the location name - LOC. . There can be instances with no location name entity, then retur... | task1546_conll2002_location_name_extraction_answer_generation | conceptofmind/niv2_submix_original-NIv2-task1546_conll2002_location_name_extraction_answer_generation-fs_opt | en |
In this task, you are given an input stream, and your task is to produce a grammatically correct version of the input sentence. 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 grammatically correct version of the input stream. Stream words ar... | task1415_youtube_caption_corrections_grammar_correction | conceptofmind/niv2_submix_original-NIv2-task1415_youtube_caption_corrections_grammar_correction-fs_opt | en |
Detailed Instructions: You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For consistency, answers should be in all lower cased letters.
See one example below:
Problem: Category: EVERYBODY TALKS ABOUT IT...
... | task305_jeopardy_answer_generation_normal | conceptofmind/niv2_submix_original-NIv2-task305_jeopardy_answer_generation_normal-fs_opt | en |
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.
One example: [[5, 1, 2, 7], [0, 4, 6, 6], [7, 8, 1... | task371_synthetic_product_of_list | conceptofmind/niv2_submix_original-NIv2-task371_synthetic_product_of_list-fs_opt | en |
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're given a context passage, a question, and three answer options. Your task is to return an incorrect answer option to the question from the choices given. For all questions, only o... | task385_socialiqa_incorrect_answer_generation | conceptofmind/niv2_submix_original-NIv2-task385_socialiqa_incorrect_answer_generation-fs_opt | en |
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... | task1205_atomic_classification_isafter | conceptofmind/niv2_submix_original-NIv2-task1205_atomic_classification_isafter-fs_opt | en |
In this task, you are given a question and an answer, you would be asked to create the sentence based on the Question-Answer provided. It should be contained within the Question-Answer provided.
[Q]: Question: What tissue system has neither dermal nor vascular tissues? Answer: ground tissue system
[A]: The ground tiss... | task1556_scitail_passage_generation | conceptofmind/niv2_submix_original-NIv2-task1556_scitail_passage_generation-fs_opt | en |
Part 1. Definition
You are given a statement written in Gujarati. 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 .
Part 2. Example
Statement: માલ (તા. છોટાઉદેપુર) <MASK> દેશના પશ્ચિમ ભાગમાં આવેલા ગુજરાત રાજ્ય... | task946_wiki_cloze_gu_multiple_choice_question_answering | conceptofmind/niv2_submix_original-NIv2-task946_wiki_cloze_gu_multiple_choice_question_answering-fs_opt | en |
Given a scientific question, generate a correct answer to it.
Example: Who proposed the theory of evolution by natural selection?
Example solution: darwin
Example explanation: This is a direct fact that Charles Darwin proposed the theory of evolution.
Problem: What theory of gases describes this state of matter as com... | task591_sciq_answer_generation | conceptofmind/niv2_submix_original-NIv2-task591_sciq_answer_generation-fs_opt | en |
In this task, you need to count the number of nouns/verbs in the given sentence.
Example input: Sentence: 'A small toy kept on tray held by a man'. Count the number of nouns in this sentence.
Example output: 3
Example explanation: The words 'toy', 'tray', and 'man' are nouns in this sentence. So, the answer is 3.
Q: S... | task155_count_nouns_verbs | conceptofmind/niv2_submix_original-NIv2-task155_count_nouns_verbs-fs_opt | en |
instruction:
In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.
question:
passage: In 2011, Philip Pullman remarked at the British Humanist Association annual conference that due to the first film's disappointing sa... | task380_boolq_yes_no_question | conceptofmind/niv2_submix_original-NIv2-task380_boolq_yes_no_question-fs_opt | en |
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... | task153_tomqa_find_location_hard_clean | conceptofmind/niv2_submix_original-NIv2-task153_tomqa_find_location_hard_clean-fs_opt | en |
In this task, you are given a news article. Your task is to classify the article to one out of the four topics 'World', 'Sports', 'Business', 'Sci/Tech' if the article's main topic is relevant to the world, sports, business, and science/technology, correspondingly. If you are not sure about the topic, choose the closes... | task379_agnews_topic_classification | conceptofmind/niv2_submix_original-NIv2-task379_agnews_topic_classification-fs_opt | en |
TASK DEFINITION: In this task, you will be shown a passage. You need to write a fill-in-the-gap question based on your understanding of the events that might be inferred from the passage. Your question should be answerable based on the passage and only have one correct answer. Show the gap in your question with a _ .
P... | task301_record_question_generation | conceptofmind/niv2_submix_original-NIv2-task301_record_question_generation-fs_opt | en |
Given a sentence in Hindi, generate a new Hindi sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being... | task407_mickey_hi_sentence_perturbation_generation | conceptofmind/niv2_submix_original-NIv2-task407_mickey_hi_sentence_perturbation_generation-fs_opt | en |
Generate an appropriate title for the given text. The generated title must be short and include the main topic of the text. The preferred titles are under fifteen words.
Example input: But Eluned Morgan conceded that it would be "difficult for us to stop" from a legal point of view. Her comments were criticised by a L... | task1356_xlsum_title_generation | conceptofmind/niv2_submix_original-NIv2-task1356_xlsum_title_generation-fs_opt | en |
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... | task749_glucose_reverse_cause_emotion_detection | conceptofmind/niv2_submix_original-NIv2-task749_glucose_reverse_cause_emotion_detection-fs_opt | en |
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]: ['5327... | task506_position_of_all_alphabetical_elements_in_list | conceptofmind/niv2_submix_original-NIv2-task506_position_of_all_alphabetical_elements_in_list-fs_opt | en |
Teacher: Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's belief does not match reality, and the third is when an individu... | task152_tomqa_find_location_easy_noise | conceptofmind/niv2_submix_original-NIv2-task152_tomqa_find_location_easy_noise-fs_opt | en |
Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
Input: Consider Input: Cassandra, Grizabella and Skimbleshanks are all characters in which Andrew Lloyd Webber musical?
Output: andrew lloyd webber
Input: Consider Input: Which musical has the... | task899_freebase_qa_topic_generation | conceptofmind/niv2_submix_original-NIv2-task899_freebase_qa_topic_generation-fs_opt | en |
Teacher: In this task you will be given a list of strings and you need to concatenate them.
Teacher: Now, understand the problem? If you are still confused, see the following example:
['a', 'b', 'c']
Solution: abc
Reason: The strings 'a', 'b', 'c', got concatenated into the string 'abc'. So this is a good example.
Now... | task079_conala_concat_strings | conceptofmind/niv2_submix_original-NIv2-task079_conala_concat_strings-fs_opt | en |
You are given a concept, and a list of answers. You should generate a question about the concept that leads to the given answer(s).
Input: Consider Input: concept: Harlem answers: ['William Henry Draper, Jr.']
Output: what did writers of the harlem renaissance write about?
Input: Consider Input: concept: Cuba an... | task1602_webquestion_question_genreation | conceptofmind/niv2_submix_original-NIv2-task1602_webquestion_question_genreation-fs_opt | en |
Classify the relation of question with context to one of these categories: 1) award received, 2) based on, collection, 3) conflict, 4) constellation, 5) convicted of, 6) date of death, 7) director, 8) drafted by, 9) educated at, 10) medical condition, 11) military branch, 12) narrative location, 13) occupation, 14) ori... | task1328_qa_zre_relation_generation_from_question | conceptofmind/niv2_submix_original-NIv2-task1328_qa_zre_relation_generation_from_question-fs_opt | en |
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, pay specia... | task304_numeric_fused_head_resolution | conceptofmind/niv2_submix_original-NIv2-task304_numeric_fused_head_resolution-fs_opt | en |
In this task, you're given two sentences, sentence 1 and sentence 2, and the genre they belong to. Your job is to determine if the two sentences belong to the same genre or not. Indicate your answer with Y and N respectively. Genres available include: face-to-face, government, letters, 9/11, slate, telephone, travel, v... | task204_mnli_same_genre_classification | conceptofmind/niv2_submix_original-NIv2-task204_mnli_same_genre_classification-fs_opt | en |
instruction:
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 probab... | task417_mickey_es_sentence_perturbation_generation | conceptofmind/niv2_submix_original-NIv2-task417_mickey_es_sentence_perturbation_generation-fs_opt | en |
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
Example Input: A time machine , a journey back to your childhood , when cares melted away in the dark theater , and... | task363_sst2_polarity_classification | conceptofmind/niv2_submix_original-NIv2-task363_sst2_polarity_classification-fs_opt | en |
In this task, you have given an input which is user's command or question, based on that you have to return what will be Agent's response/reply for that particular user's command or question
Q: Create a meeting with Kathy on Tuesday.
A: Here are some times when you and Kathy are free.
****
Q: Yes. Copy the event forT... | task1603_smcalflow_sentence_generation | conceptofmind/niv2_submix_original-NIv2-task1603_smcalflow_sentence_generation-fs_opt | en |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the numerical elements in the given list. Return 0 if no numerical element in the list.
One example: ['238', 'h', '92', 'U', '2799']
Solution is here: 3
Explanation: Here... | task505_count_all_numerical_elements_in_list | conceptofmind/niv2_submix_original-NIv2-task505_count_all_numerical_elements_in_list-fs_opt | en |
In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no".
Here are the definitions of log... | task211_logic2text_classification | conceptofmind/niv2_submix_original-NIv2-task211_logic2text_classification-fs_opt | en |
Part 1. Definition
In this task you will be given a process, and a question. The process contains a sequence of steps that happen in order. The question asks about the effect of a certain event on another event. If the first event has a positive effect on the second event, answer with "for", if it has a negative effect... | task1727_wiqa_what_is_the_effect | conceptofmind/niv2_submix_original-NIv2-task1727_wiqa_what_is_the_effect-fs_opt | en |
In this task, you're given an article, a question which often contains a blank, four options (associated with "A", "B", "C", "D") and the answer to that question. Your task is to classify whether the given answer is correct or not by providing "Yes" or "No", based on the article.
Example: Article: Homework can put you ... | task310_race_classification | conceptofmind/niv2_submix_original-NIv2-task310_race_classification-fs_opt | en |
Given the task definition, example input & output, solve the new input case.
In this task, you are given triplets. Each triplet is in the form of [subject, predicate, object]. Your task is to generate proper sentence that utilizes these triples. The objective is to construct a sentence that (a) captures the facts speci... | task1409_dart_text_generation | conceptofmind/niv2_submix_original-NIv2-task1409_dart_text_generation-fs_opt | en |
In this task, you're given passages that contain mentions of names of people, places, or things. Some of these mentions refer to the same person, place, or thing. Your job is to write questions that evaluate one's understanding of such references. Good questions are expected to link pronouns (she, her, him, his, their,... | task001_quoref_question_generation | conceptofmind/niv2_submix_original-NIv2-task001_quoref_question_generation-fs_opt | en |
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.
[Q]: Claire Morgan ( born 18 May 198... | task400_paws_paraphrase_classification | conceptofmind/niv2_submix_original-NIv2-task400_paws_paraphrase_classification-fs_opt | en |
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 will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal ru... | task268_casehold_legal_answer_generation | conceptofmind/niv2_submix_original-NIv2-task268_casehold_legal_answer_generation-fs_opt | en |
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 need to count the occurrences of the given word in the given sentence.
Sentence: 'the brown cat sits perched on atop of the bed peering forward'. Count the occurrences of the word ... | task158_count_frequency_of_words | conceptofmind/niv2_submix_original-NIv2-task158_count_frequency_of_words-fs_opt | en |
Given an abstract, generate a keyword (a noun phrase) that best describes the focus or contribution of the paper. Such keywords can be directly from the given abstract or outside it.
Let me give you an example: Abstract: Some patients converted from ventricular fibrillation to organized rhythms by defibrillation - tra... | task620_ohsumed_medical_subject_headings_answer_generation | conceptofmind/niv2_submix_original-NIv2-task620_ohsumed_medical_subject_headings_answer_generation-fs_opt | en |
You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
Let me give you an example: Category: HOMOPHONIC PAIRS
Clue: It's a notation on a percussion ... | task308_jeopardy_answer_generation_all | conceptofmind/niv2_submix_original-NIv2-task308_jeopardy_answer_generation_all-fs_opt | en |
Teacher: Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the ... | task127_scan_long_text_generation_action_command_all | conceptofmind/niv2_submix_original-NIv2-task127_scan_long_text_generation_action_command_all-fs_opt | en |
Teacher: In this task, you are given a sentence in the Bulgarian language and corresponding Greek translation of this sentence. Here, your job is to generate label "True" if translation is correct, otherwise generate label "False".
Teacher: Now, understand the problem? If you are still confused, see the following examp... | task764_emea_bg_el_classification | conceptofmind/niv2_submix_original-NIv2-task764_emea_bg_el_classification-fs_opt | en |
Part 1. Definition
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 th... | task080_piqa_answer_generation | conceptofmind/niv2_submix_original-NIv2-task080_piqa_answer_generation-fs_opt | en |
Given the task definition, example input & output, solve the new input case.
In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. The questions should be well-formed and grammatically correct. The questions should be compl... | task193_duorc_question_generation | conceptofmind/niv2_submix_original-NIv2-task193_duorc_question_generation-fs_opt | en |
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... | task154_tomqa_find_location_hard_noise | conceptofmind/niv2_submix_original-NIv2-task154_tomqa_find_location_hard_noise-fs_opt | en |
Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's belief does not match reality, and the third is when an individual has a ... | task152_tomqa_find_location_easy_noise | conceptofmind/niv2_submix_original-NIv2-task152_tomqa_find_location_easy_noise-fs_opt | en |
Teacher: Given a sentence in Arabic, generate a new Arabic 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 ... | task414_mickey_ar_sentence_perturbation_generation | conceptofmind/niv2_submix_original-NIv2-task414_mickey_ar_sentence_perturbation_generation-fs_opt | en |
In this task, you are given a short passage that may convey stereotype, anti-stereotype, or is unrelated. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. The passage is unrelated if it does not convey a stereotype or ant... | task279_stereoset_classification_stereotype | conceptofmind/niv2_submix_original-NIv2-task279_stereoset_classification_stereotype-fs_opt | en |
TASK DEFINITION: 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.
PROBLEM: what does Karin Dor appear in?
SOLUTION: Topaz
PROBLEM: what is the language spoken in the film Pandora's Promis... | task615_moviesqa_answer_generation | conceptofmind/niv2_submix_original-NIv2-task615_moviesqa_answer_generation-fs_opt | en |
Detailed Instructions: In this task you are given a list of integers and you need to find the absolute value of the difference between each two consecutive values. The output should be a list of the absolute value of the differences of each two consecutive values.
See one example below:
Problem: [7, 1, 5, 8, -4]
Soluti... | task125_conala_pair_differences | conceptofmind/niv2_submix_original-NIv2-task125_conala_pair_differences-fs_opt | en |
In this task, you are given an impractical statement. You are also given three reasons (associated with "A", "B", "C") explaining why this statement doesn't make sense. You must choose the most corresponding reason explaining why this statement doesn't make sense.
[EX Q]: People need lots of noise for study
(A) Loud n... | task295_semeval_2020_task4_commonsense_reasoning | conceptofmind/niv2_submix_original-NIv2-task295_semeval_2020_task4_commonsense_reasoning-fs_opt | en |
In this task, you are given a context and four options. Each option is a suggested ending for the context. You should read the context and pick the best ending for the context. Please answer with "A", "B", "C", and "D".
Ex Input:
A boy with dark hair and no shirt is mowing a dirt patch with small patches of grass usi... | task1389_hellaswag_completion | conceptofmind/niv2_submix_original-NIv2-task1389_hellaswag_completion-fs_opt | en |
Write a fact related to the given fact, based on the given topic word. Note that, your fact should have at least one word in common with the given fact. All facts in this task refer to scientific facts. Your related fact must form a chain with the given fact. Chains form when two facts connect together to produce the t... | task037_qasc_generate_related_fact | conceptofmind/niv2_submix_original-NIv2-task037_qasc_generate_related_fact-fs_opt | en |
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? If you are still confused, see the following example:
Title: Marcus ... | task216_rocstories_correct_answer_generation | conceptofmind/niv2_submix_original-NIv2-task216_rocstories_correct_answer_generation-fs_opt | en |
In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger words (e.g., "sympathetic" ... | task030_winogrande_full_person | conceptofmind/niv2_submix_original-NIv2-task030_winogrande_full_person-fs_opt | en |
In this task, we have Spanish and Catalan tweets for automatic stance detection. The data has three labels Against, Favor, and Neutral which express the stance towards the target -independence of Catalonia. If the tweet criticizes the independence of Catalonia then it's 'Against' and if the tweets support it then it wi... | task1646_dataset_card_for_catalonia_independence_corpus_text_classification | conceptofmind/niv2_submix_original-NIv2-task1646_dataset_card_for_catalonia_independence_corpus_text_classification-fs_opt | en |
Given the task definition, example input & output, solve the new input case.
In this task you will be given a list of numbers. You should remove any number that is not an integer (whole number). If every number is not an whole number then an empty list ("[]") should be returned. Otherwise, answer with the list of whole... | task367_synthetic_remove_floats | conceptofmind/niv2_submix_original-NIv2-task367_synthetic_remove_floats-fs_opt | en |
Given a sentence, fill out the missing word with a 'no' or a number (between zero and ten). You should write the numbers with english alphabet, like: four instead of 4.
One example: Female snakes incubate eggs inside of their bodies, giving birth to live young of ____ or more.
Solution is here: ten
Explanation: Snakes ... | task1359_numer_sense_answer_generation | conceptofmind/niv2_submix_original-NIv2-task1359_numer_sense_answer_generation-fs_opt | en |
You will be given a sentence. Check whether the sentence is grammatically correct and is meaningful. If the sentence is grammatically correct, then answer with '1', otherwise answer with '0'.
The policeman met several young students in the park last night.
1
Joan knew the answer.
1
Fruit at once hit the roof against... | task1346_glue_cola_grammatical_correctness_classification | conceptofmind/niv2_submix_original-NIv2-task1346_glue_cola_grammatical_correctness_classification-fs_opt | en |
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... | task284_imdb_classification | conceptofmind/niv2_submix_original-NIv2-task284_imdb_classification-fs_opt | en |
In this task, you're given four sentences of a story written in natural language, and one last sentence (Sentence5). Your job is to classify whether the last sentence completes the rest of the story coherently or not by providing 'Yes' or 'No'.
Example input: Sentence1: Rick grew up in a troubled household. Sentence2:... | task298_storycloze_correct_end_classification | conceptofmind/niv2_submix_original-NIv2-task298_storycloze_correct_end_classification-fs_opt | en |
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to... | task1198_atomic_classification_owant | conceptofmind/niv2_submix_original-NIv2-task1198_atomic_classification_owant-fs_opt | en |
Detailed Instructions: In this task, you are given an input list A. You need to find all the elements of the list that are numbers in the same order as they appear in the list A.
See one example below:
Problem: ['238', 'h', '92', 'U', '2799']
Solution: 238, 92, 2799
Explanation: Here, the numbers in the input list in o... | task497_extract_all_numbers_from_list_in_order | conceptofmind/niv2_submix_original-NIv2-task497_extract_all_numbers_from_list_in_order-fs_opt | en |
In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given two options and you need to select the one that best connects the first sentence with the rest of the story. Indicate your answer by 'Option 1' if the first option is correct, otherwise 'Optio... | task065_timetravel_consistent_sentence_classification | conceptofmind/niv2_submix_original-NIv2-task065_timetravel_consistent_sentence_classification-fs_opt | en |
In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify this question-answer pair into two categories: (1) "yes" if the given answer is right for question, and (2) "no" if the given answer is wrong for question.
Ex Input:
Context: Shorter Obama: If y... | task241_tweetqa_classification | conceptofmind/niv2_submix_original-NIv2-task241_tweetqa_classification-fs_opt | en |
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.
Q: woke up earliier den usual(thxnks ciindy]...eatiin pancakes...bout 2 get iinto dha cleaniin siituatiion l8r...bout 2 hiit youtube
A: positive
****
Q: @d... | task195_sentiment140_classification | conceptofmind/niv2_submix_original-NIv2-task195_sentiment140_classification-fs_opt | en |
Given a sentence in the Japanese and Filipino language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Input: Consider Input: Japanese: 米ドルの価格は、世界の他の通貨に対して下落したが、金の価格は上昇した。
Filipino: Sinasabi ng mga awtori... | task1120_alt_ja_fil_answer_generation | conceptofmind/niv2_submix_original-NIv2-task1120_alt_ja_fil_answer_generation-fs_opt | en |
Given a sentence in English, provide an equivalent paraphrased version from the original that retains the same meaning.
One example is below.
Q: The NBA season of 1975 -- 76 was the 30th season of the National Basketball Association .
A: The 1975 -- 76 season of the National Basketball Association was the 30th season o... | task770_pawsx_english_text_modification | conceptofmind/niv2_submix_original-NIv2-task770_pawsx_english_text_modification-fs_opt | en |
Given the prompt and a response, classify the them to "yes" if response is "yes, and" type. Otherwise classify it as "no". "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 thou... | task361_spolin_yesand_prompt_response_classification | conceptofmind/niv2_submix_original-NIv2-task361_spolin_yesand_prompt_response_classification-fs_opt | en |
Given a disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence.
Let me give you an example: Who did the Han Chinese want to help the Khitan no I mean the Mongols fight?
The answer to this example can be: Who did the Han Chinese want to help the Mongols fight... | task1195_disflqa_disfluent_to_fluent_conversion | conceptofmind/niv2_submix_original-NIv2-task1195_disflqa_disfluent_to_fluent_conversion-fs_opt | en |
Given a sentence, fill out the missing word with a 'no' or a number (between zero and ten). You should write the numbers with english alphabet, like: four instead of 4.
One example is below.
Q: Female snakes incubate eggs inside of their bodies, giving birth to live young of ____ or more.
A: ten
Rationale: Snakes give ... | task1359_numer_sense_answer_generation | conceptofmind/niv2_submix_original-NIv2-task1359_numer_sense_answer_generation-fs_opt | en |
instruction:
Given a premise, an initial context, an original ending, and a new ending, the task is to generate the counterfactual context that is aligned with the new ending. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and the second sentence, which is the initial con... | task270_csrg_counterfactual_context_generation | conceptofmind/niv2_submix_original-NIv2-task270_csrg_counterfactual_context_generation-fs_opt | en |
In this task, you're given a fill-in-the-blank question that contains two object names. Additionally, you're given one answer which is one of the objects present in the question. In this task, you need to minimally change the given question so that the answer flips to another object in the question. Remember the questi... | task034_winogrande_question_modification_object | conceptofmind/niv2_submix_original-NIv2-task034_winogrande_question_modification_object-fs_opt | en |
Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
One example: The sound seems really good but sometimes it cuts in and out which is annoying.... | task929_products_reviews_classification | conceptofmind/niv2_submix_original-NIv2-task929_products_reviews_classification-fs_opt | en |
In this task, you are given a question. Your task is to generate an answer that is relevant to the question.
One example: Are you willing to do shopping with me?
Solution is here: I only like to shop during festivals
Explanation: Based on the given question and answer, the dialogue is about shopping, so the question an... | task565_circa_answer_generation | conceptofmind/niv2_submix_original-NIv2-task565_circa_answer_generation-fs_opt | en |
Given the task definition, example input & output, solve the new input case.
Generate a correct and concise answer for the question based on the words in the context.
Example: Context : Isaac Nicola Romero (1916 in Havana, Cuba -- 1997) was a prominent Cuban guitarist and one of the founders of the modern Cuban Guitar ... | task1327_qa_zre_answer_generation_from_question | conceptofmind/niv2_submix_original-NIv2-task1327_qa_zre_answer_generation_from_question-fs_opt | en |
In this task, you will be given a list. The list is several integers and letters separated with a comma, written within a []. You can create new lists by dropping one of the items in the input list. Your task is to write a list containing all the possible lists you can make by dropping one item from the input list. Fo... | task208_combinations_of_list | conceptofmind/niv2_submix_original-NIv2-task208_combinations_of_list-fs_opt | en |
instruction:
In this task, find the most appropriate number to replace the blank (indicated with _ ) and express it in words.
question:
Ferrets bite in _ manners.
answer:
two
question:
Blood pressure is expressed as _ different numbers.
answer:
two
question:
Most foods contain all _ fats in different amounts.
answe... | task672_nummersense | conceptofmind/niv2_submix_original-NIv2-task672_nummersense-fs_opt | en |
In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about that situation having read the premise. The update provides additional inform... | task936_defeasible_nli_snli_classification | conceptofmind/niv2_submix_original-NIv2-task936_defeasible_nli_snli_classification-fs_opt | en |
Detailed Instructions: 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 t... | task495_semeval_headline_classification | conceptofmind/niv2_submix_original-NIv2-task495_semeval_headline_classification-fs_opt | en |
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.
Example Input: I don't know if I got a bad batch but this coffee has a nasty plastic flavor. I think the Nantucket Blend is good and the Dark Magic is excellent.... | task586_amazonfood_polarity_classification | conceptofmind/niv2_submix_original-NIv2-task586_amazonfood_polarity_classification-fs_opt | en |
You are given a statement written in Gujarati. 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 .
Q: Statement: પીપળ (તા. ધંધુકા) <MASK> દેશના પશ્ચિમ ભાગમાં આવેલા ગુજરાત રાજ્યના મધ્ય ભાગમાં આવેલા અમદાવાદ જિલ્... | task946_wiki_cloze_gu_multiple_choice_question_answering | conceptofmind/niv2_submix_original-NIv2-task946_wiki_cloze_gu_multiple_choice_question_answering-fs_opt | en |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Example Input: I'm sure I would be able to understand the vivid descriptions and symbolism in this book much better, if Hawthorne were not writing in some sort of moon man language. I don't know about the pr... | task493_review_polarity_classification | conceptofmind/niv2_submix_original-NIv2-task493_review_polarity_classification-fs_opt | en |
In this task, you're given a question, along with a context passage. The passage will not have a direct answer to the question, but can include some information and a clue for the answer. Assuming you can only obtain information about one entity in the passage, your job is to determine whether information from the pass... | task233_iirc_link_exists_classification | conceptofmind/niv2_submix_original-NIv2-task233_iirc_link_exists_classification-fs_opt | en |
In this task you will be given two lists of numbers and you need to calculate the intersection between these two lists. The intersection between two lists is another list where every element is common between the two original lists. If there are no elements in the intersection, answer with an empty list. Your list of n... | task098_conala_list_intersection | conceptofmind/niv2_submix_original-NIv2-task098_conala_list_intersection-fs_opt | en |
You need to answer a given question containing a blank (_). Your answer must be one of the two objects mentioned in the question, for example "trophy" and "suitcase". Your answer must not contain a word that is not present in the question. Please don't use articles (e.g., the, a) before the answer.
Q: The board could ... | task033_winogrande_answer_generation | conceptofmind/niv2_submix_original-NIv2-task033_winogrande_answer_generation-fs_opt | en |
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... | task1215_atomic_classification_capableof | conceptofmind/niv2_submix_original-NIv2-task1215_atomic_classification_capableof-fs_opt | en |
In this task you will be given a list of numbers and you should remove all duplicates in the list. If every number is repeated in the list an empty list should be returned. Your list should be numbers inside brackets, just like the given list.
Q: [0, 1, 5, 0, 0]
A: [1, 5]
****
Q: [2, 1, 3, 6, 5, 3, 5]
A: [2, 1, 6]
*... | task097_conala_remove_duplicates | conceptofmind/niv2_submix_original-NIv2-task097_conala_remove_duplicates-fs_opt | en |
Part 1. Definition
In this task, you will be shown a conversation and a question. You should categorize the question into matching, summary, logic, arithmetic and, commonsense groups. Matching is a question entailed or paraphrased by exactly one sentence in a dialogue. The answer can be extracted from the same sentence... | task248_dream_classification | conceptofmind/niv2_submix_original-NIv2-task248_dream_classification-fs_opt | en |
Teacher: In this task you are given a list of integers and you need to find the absolute value of the difference between each two consecutive values. The output should be a list of the absolute value of the differences of each two consecutive values.
Teacher: Now, understand the problem? If you are still confused, see ... | task125_conala_pair_differences | conceptofmind/niv2_submix_original-NIv2-task125_conala_pair_differences-fs_opt | en |
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 ... | task035_winogrande_question_modification_person | conceptofmind/niv2_submix_original-NIv2-task035_winogrande_question_modification_person-fs_opt | en |
Given the task definition, example input & output, solve the new input case.
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, Per... | task1203_atomic_classification_xreact | conceptofmind/niv2_submix_original-NIv2-task1203_atomic_classification_xreact-fs_opt | en |
Given the task definition, example input & output, solve the new input case.
Given Statement1 and Statement2 in Croatian, identify a label based on the relationship between them. There are two possible labels: 'cause' and 'effect'. If Statement2 is the consequence of Statement1 then the Label is 'effect'. If Statement2... | task1629_copa_hr_classification | conceptofmind/niv2_submix_original-NIv2-task1629_copa_hr_classification-fs_opt | en |
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