inputs stringlengths 76 1.08M | targets stringlengths 2 13.8k | _template_idx int32 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 1
value |
|---|---|---|---|---|---|
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 The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ).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
| 5 | NIv2 | task1210_atomic_classification_madeupof | fs_opt |
This task is to translate the Telugu Language Input to English Language Output
Q: మూవీ రివ్యూ : జానకి రాముడు ప్రధాన తారాగణం : నవీన్ సంజయ్,మౌర్యాని,ప్రియాంక,అర్జున్,సుధ,పవిత్ర లోకేష్,శివ కృష్ణ,సూర్య, జాకీ, సుదర్శన్, గీతాంజలి తదితరులు సంగీతం : గిఫ్టన్ ఎలియాస్ ఛాయాగ్రహణం : అనిత్ ఎడిటింగ్ : నాగేంద్ర అడపా సాహిత్యం Read Mor... | Toggle navigation
****
| 4 | NIv2 | task1617_cc_alligned_translate_tel_eng | fs_opt |
instruction:
Write a correct answer for the question. You should reason about prototypical situations and provide the correct answer. Avoid answers that provide incomplete justification for the question.
question:
how can you tell that the person who shares your room is having trouble sleeping?
answer:
tossing and turn... | babe ruth
| 9 | NIv2 | task820_protoqa_answer_generation | fs_opt |
In this task, you're given a short story of five sentences written in natural language. However, the order of the given story is not correct. Your job is to return the correct order for the given five sentences to create a coherent short story with the new order that has the correct flow. Generate your answer using the... | 12345
| 6 | NIv2 | task300_storycloze_order_generation | fs_opt |
instruction:
In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given a candidate for the second sentence and you need to identify if the given sentence connects the first sentence with the rest of the story. Indicate your answer by "Yes" if it conn... | Yes
| 9 | NIv2 | task066_timetravel_binary_consistency_classification | fs_opt |
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... | yes
| 1 | NIv2 | task361_spolin_yesand_prompt_response_classification | fs_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 Phoenix], food... | Aromi is a family-friendly French coffee shop rated average. It is located near riverside.
| 9 | NIv2 | task957_e2e_nlg_text_generation_generate | fs_opt |
instruction:
In this task, you are given a text from a post. Your task is to find all of the proper nouns and label them. The labels are <B-PER>, <I-PER> for persons; <B-ORG>, <I-ORG> for organizations; <B-LOC>, <I-LOC> for locations; and <B-MISC>, <I-MISC> for other nouns. The capital 'B' denotes the first word of a p... | CARLSBAD <B-LOC> , California <B-LOC> 1996-08-25
| 9 | NIv2 | task610_conllpp_ner | fs_opt |
Provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is -
'.': Period symbol is used f... | VERB
| 7 | NIv2 | task1167_penn_treebank_coarse_pos_tagging | fs_opt |
TASK DEFINITION: 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 ... | red_bucket
| 8 | NIv2 | task153_tomqa_find_location_hard_clean | fs_opt |
In this task, you are given a sentence in the english language. Here, your job is to convert english sentence into the bulgarian language.
Accession of Bulgaria and Romania to the Convention on driving disqualifications (vote)
Присъединяване на България и Румъния към Конвенцията от 17 юни 1998 г. за лишаване от право ... | Статистически данни при превоз на товари и пътници по море (преработена версия) (
| 0 | NIv2 | task272_europarl_translation | 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_suitcase
****
| 4 | NIv2 | task154_tomqa_find_location_hard_noise | fs_opt |
Given a sentence in Somali language, translate the sentence to English language keeping the meaning of the original sentence intact
Input: Consider Input: Somali sentence: 28 Laakiin waxaan idinku leeyahay, Nin walba oo qof dumar ah damac u eegaa, durba qalbigiisuu kaga sinaystay.
Output: 28 But I say unto you, That ... | Output: God is the Creator of life and He knows.
| 2 | NIv2 | task450_opus_paracrawl_so_en_translation | fs_opt |
In this task you are given a story and a question regarding that story. You must judge whether the question is answerable based on the info given to you. Label the instances as "Answerable" or "Not Answerable" based on your judgment. the story and the question are separated by a new line character.
Input: Consider Inp... | Output: Answerable
| 2 | NIv2 | task290_tellmewhy_question_answerability | fs_opt |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Polish.
É importante para agora, para o antes posible.
Jest ważne teraz i najszybciej jak się da.
Boas noites doce donicela "". (Risos) Moi sinxelo.
Dobranoc, kochany oposie "". (Śmiech) Prosta sprawa.
así que trouxen unha foto... | Tak więc oto moje włochate zdjęcie.
| 0 | NIv2 | task1244_ted_translation_gl_pl | fs_opt |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
Input: Consider Input: 心は満たされるさ
Output: إنها تشبع عقلي وروحي.
Input: Consider Input: 百の異なるシステムのアカウントを持ち各システムごとに異なるパスワードを持たなければならないとどうでしょう ？
Output: لكن ماذا تفعل عندما تكون لديك حسابات على مئات الأنظمة المختلفة ومن ال... | Output: (ضحك) (تصفيق) حمدا لله أنه لا يوجد صوت يصاحب هذا الفيديو.
| 2 | NIv2 | task1224_ted_translation_ja_ar | fs_opt |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your answer must be in the form of the letters E, C, and N respectively.
Q: Sentence... | C
****
| 4 | NIv2 | task190_snli_classification | fs_opt |
This task is to translate a news commentary given in Dutch language into Portuguese language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
Example Input: Zo moet het ook zijn.
Example Output: É as... | E não devemos esquecer que, juntamente com a sensação que os jovens tinham de lhes faltar um futuro sob as ditaduras militares nacionalistas do passado, a pobreza generalizada foi a segunda causa da revolução de 2011.
| 3 | NIv2 | task1375_newscomm_translation | fs_opt |
instruction:
In this task, you are given a sentence in the English language and your task is to convert it into the Swedish language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
question:
This is the most detailed and comprehensive report t... | Jag kommer att återkomma till detta rådslag om några ögonblick.
| 9 | NIv2 | task313_europarl_en_sv_translation | fs_opt |
In this task, you are given two facts, and a multiple-choice question. Based on the given facts, answer the question with index of the correct option (e.g, "A").
[Q]: Fact1: Infancy is the period of most rapid growth after birth., Fact2: Development means to get better, growth means to get bigger., Question: What is t... | D
| 5 | NIv2 | task1297_qasc_question_answering | fs_opt |
In this task, you're given a statement and three sentences as choices. Your job is to determine the neutral choice based on your inference from the statement and your commonsense knowledge. The neutral choice is a sentence that neither agrees nor disagrees with the statement. Indicate your answer as '1', '2', or '3', c... | 2
| 3 | NIv2 | task201_mnli_neutral_classification | fs_opt |
In this task you will be given some text dialogue and you need to infer the underlying emotion of the text. The possible emotions are happy, sad, angry, or other.
--------
Question: ya i am geting my ged bit me i lost everything
Answer: sad
Question: no about me about you what destiny i'm depressed
Answer: sad
Qu... | sad
| 7 | NIv2 | task517_emo_classify_emotion_of_dialogue | fs_opt |
In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every even number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no even numbers in an inner list you sho... | Output: [0, -4800, 0, 432, 0]
| 2 | NIv2 | task851_synthetic_multiply_evens | fs_opt |
You are asked to create a question containing a blank (_), based on the given context word. Your question must contain two related but different objects; for example "trophy" and "suitcase". The expected answer to your question must be one of the objects present in the sentence. The expected answer must not be associat... | The house had stood firm in the past, but was now destroyed by the wind, the _ was just too fragile.
| 5 | NIv2 | task031_winogrande_question_generation_object | fs_opt |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Portugese.
Example Input: La loro utilità varia e contribuisce alla diversità di trattamento degli anziani nella società.
Example Output: A sua utilidade varia e contribui para a variação no tratamento que a sociedade dá aos idosos... | É a única ameaça, a única influência com a qual o recife teve de lidar.
| 3 | NIv2 | task1255_ted_translation_it_pt | fs_opt |
In this task, you are given a review of product in Polish language and a question whether this review has positive sentiment. You are expected to generate the answer. The output should be "Yes" or "No". Don't generate anything apart from "Yes", "No".
--------
Question: Text: Dźwięk jak na tę cenę i na sposób zasilania ... | No
| 7 | NIv2 | task635_allegro_reviews_answer_generation | fs_opt |
In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.
Ex Input:
GPT-2 achieves the highest score and the $n$-gram the lowest. Transformer-XL and the LSTM LM perform... | Do they report results only on English datasets?
| 1 | NIv2 | task461_qasper_question_generation | fs_opt |
In this task, you will be given a list of integers. You should remove all of the odd integers from the list(consider 0 an even number). If every integer in the input list is odd then an empty list ("[]") should be returned. Otherwise, answer with the list of even numbers separated by comma inside brackets.
Q: [-62, 46... | [2, -58, 74, -10, -66]
****
| 4 | NIv2 | task369_synthetic_remove_odds | 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 deter... | Yes
| 5 | NIv2 | task1203_atomic_classification_xreact | fs_opt |
Given a pair of words, deduce the type of relationship between them. The various types of relations are: 'HYPER', 'COORD' and 'RANDOM'. Let's denote the first word by X and the second word by Y. A COORD relationship holds when X and Y belong to the same semantic class. A HYPER relationship applies when X is a specific ... | HYPER
****
| 4 | NIv2 | task1505_root09_semantic_relation_classification | fs_opt |
TASK DEFINITION: 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.
PROBLEM: Comment: REALLY, these Trump LEECHES sound l... | Sexual-explicit
| 8 | NIv2 | task323_jigsaw_classification_sexually_explicit | fs_opt |
TASK DEFINITION: In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_) and their corresponding answer. The sentence pair should look similar, and should be about two related but different objects; for example "trophy" and "suitcase". Additionally, the two... | Sentence 1: The golfer decided to buy new shoes, but not clubs, because his _ were worn.
Answer1: shoes.
Sentence 2: The golfer decided to buy new shoes, but not clubs, because his _ were newer.
Answer2: clubs.
| 8 | NIv2 | task029_winogrande_full_object | fs_opt |
In this task you will be given a claim and a perspective. You should determine whether that perspective supports or undermines the claim. If the perspective could possibly convince someone with different view, it is supporting, otherwise it is undermining.
Q: claim: Handguns must be banned in Washington D.C.
perspect... | support
****
| 4 | NIv2 | task738_perspectrum_classification | fs_opt |
The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent dialogue context containing past 3 utterances (wherever available), output Ye... | Yes
| 3 | NIv2 | task357_casino_classification_negotiation_small_talk | fs_opt |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to classify the genre of the sentences from the 10 options displayed. Indicate your answer by entering the number of the choice as 1-10.
Ex Input:
Sentence 1: For those of you who have only disdain for the current ratemaking process... | 4
| 1 | NIv2 | task198_mnli_domain_classification | fs_opt |
A piece of text from one of these 5 languages - French, English, Dutch, Somali, Tagalog is given. Generate the language to which the text belongs.
[EX Q]: Text: Ama, Ma waxay ka Abuurin Samooyinka iyo dhulka?
[EX A]: Somali
[EX Q]: Text: L'iPod a été emballé et bien de retour sur la route de Nelson, Nouvelle-Zélande ... | French
| 6 | NIv2 | task447_opus_paracrawl_classification | fs_opt |
instruction:
In this task, you are given a sentence from the Bible in English, and your task is to translate it into Persian.
question:
And God looked upon the earth, and, behold, it was corrupt; for all flesh had corrupted his way upon the earth.
answer:
و خدا زمین را دید که اینک فاسدشده است، زیرا که تمامی بشر راه خود... | و از آنجا کوچ کرده، به وادی زارد اردو زدند.
| 9 | NIv2 | task655_bible_en_fa_translation | fs_opt |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
Example Input: （ 拍手 ） 私のコミュニティで初めて行われた働きかけが条例化の呼びかけにつながりましたそれは私たちのコミュニティでは少女たちを守る初めての条例でした
Example Output: (تشویق) در جامعه من ، که برای نخستین بار درآن جامعه اتفاق میفتاد ، مجبور به وضع مقررات محلی شدند ، نخستین مقررات مح... | تنوع چیز بدی نیست ، چون گرچه فکر می کنیم انسانها خیلی متفاوت ومتنوع هستند ، ما خیلی نزدیک به انقراض بودیم که نسل همه ما از یک مادر آفریقایی ست و نتیجه اش اینکه تنوع ژنتیکی ۵۵ شامپانزه آفریقایی بیشتر از هفت میلیارد انسانه.
| 3 | NIv2 | task1098_ted_translation_ja_fa | fs_opt |
TASK DEFINITION: This task is to identify the language of a sentence correctly by classifying if it is English or Telugu
PROBLEM: పీవీ సింధుకు రూ.6 లక్షల వజ్రాభరణంతో సత్కారం, థ్యాంక్స్ చెప్పింది
SOLUTION: Telugu
PROBLEM: 20:1 And the Lord spoke all these words:
SOLUTION: English
PROBLEM: 123456తర్వాత> >> పేజీ 1/14
... | Telugu
| 8 | NIv2 | task1618_cc_alligned_classify_tel_eng | fs_opt |
In this task, you will be given a list of integers. You should remove all of the odd integers from the list(consider 0 an even number). If every integer in the input list is odd then an empty list ("[]") should be returned. Otherwise, answer with the list of even numbers separated by comma inside brackets.
Ex Input:
[... | [22, 94]
| 1 | NIv2 | task369_synthetic_remove_odds | fs_opt |
In this task, you are given a sentence in Persian, and you have to paraphrase it. The paraphrased sentence must have the same meaning as the input.
چگونه چربی چربی شکم را از دست دهم؟
یک برنامه تمرینی خوب برای از دست دادن چربی شکم چیست؟
چرا به امام صادق صادق می گویند؟
چرا به امام جعفر صادق صادق می گویند؟
روند انتخابا... | روش انتخابات ریاست جمهوری در ایالات متحده چیست؟
| 0 | NIv2 | task466_parsinlu_qqp_text_modification | fs_opt |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
Ex Input:
¿Ahora que tenemos acceso ilimitado a la música, qué queda con nosotros?
Ex Output:
Now that we have unlimited access to music, what does stick with us?
Ex Input:
Esto lleva a una gran cantidad de enfoques en ... | And it's only by stepping back, and then further back, and holding still, that we can begin to see what the canvas means and to catch the larger picture.
| 1 | NIv2 | task1226_ted_translation_es_en | fs_opt |
Given a sentence in Somali language, translate the sentence to English language keeping the meaning of the original sentence intact
Somali sentence: 35 Oo anigu waxaan kicin doonaa wadaad aamin ah kaasoo samayn doona waxa ku jira qalbigayga iyo maankayga; oo anna waxaan isaga u dhisi doonaa reer ammaan ah, oo isna wel... | Today we write an article about Clash Royale Gems Generator Apk. If you are looking for Clash Royale Hack you are on the right place! Keep reading this article, Clash Royale Gems Generator Apkand you will get what you are looking for.
| 0 | NIv2 | task450_opus_paracrawl_so_en_translation | fs_opt |
In this task, you are given a hateful post in Bengali that expresses hate or encourages violence in a geopolitical context based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: geopolitical or non-geopolitical depending on the... | geopolitical
| 5 | NIv2 | task1493_bengali_geopolitical_hate_speech_binary_classification | fs_opt |
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... | Favor
| 0 | NIv2 | task1646_dataset_card_for_catalonia_independence_corpus_text_classification | fs_opt |
Given a sentence in Spanish, generate a new Spanish sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it b... | Se dice que un ejército de tropas activas.
| 6 | NIv2 | task417_mickey_es_sentence_perturbation_generation | fs_opt |
instruction:
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].
question:
Verify if the sentiment of the following document towards the entity Tesla is Negative... | no
| 9 | NIv2 | task422_persent_sentence_sentiment_verification | fs_opt |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Portugese.
Example Input: Ciertamente no está completa.
Example Output: Não está certamente completa.
Example Input: En Rwanda, en las Islas Salomón.
Example Output: no Ruanda, nas Ilhas Salomão.
Example Input: Todos Uds. también... | Vocês também são parte da obra de arte.
| 3 | NIv2 | task1104_ted_translation_es_pt | fs_opt |
instruction:
In this task, you are given a natural language interpretation of commands (consist of logical operations) to select relevant rows from the given table. Your job is to generate command (in terms of logical operations) from given natural language interpretation. Define body (contains a collection of statemen... | and { only { filter_eq { all_rows ; method ; draw } } ; eq { hop { filter_eq { all_rows ; method ; draw } ; res } ; draw } }
| 9 | NIv2 | task210_logic2text_structured_text_generation | fs_opt |
In this task, you are given a sentence in the Bulgarian language and corresponding English translation of this sentence. Here, your job is to generate label "yes" if translation is right, otherwise generate label "no".
--------
Question: Bulgarian: Така, както ценяхме нашата валута, започнахме да използваме еврото и мн... | yes
| 7 | NIv2 | task273_europarl_classification | fs_opt |
In this task you are given a tweet and you must identify whether the tweet contains any offense or any form of (untargeted) profanity. Label the post as NOT if the post does not contain offense or profanity. Non-offensive posts do not include any form of offense or profanity. label the post as OFFENSIVE if the post co... | Output: NOT
| 2 | NIv2 | task286_olid_offense_judgment | fs_opt |
In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, with at most 4 new words added/existing words removed. Yo... | Output: She was running her slower 1k ever!.
| 2 | NIv2 | task068_abductivenli_incorrect_answer_generation | fs_opt |
In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that does not connect with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick the one that m... | b
| 3 | NIv2 | task214_rocstories_incorrect_ending_classification | fs_opt |
In this task, you are given an abstract of article. Your task is to generate title for this article. Preferred titles are under thirty words.
Q: Fast excitatory neurotransmission is mediated largely by ionotropic glutamate receptors (iGluRs), tetrameric, ligand-gated ion channel proteins comprised of three subfamilies... | The Pain Catastrophizing Scale: Further Psychometric Evaluation with Adult Samples
****
| 4 | NIv2 | task1586_scifact_title_generation | fs_opt |
instruction:
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".
question:
I purchased these for my candy buffet at my wedding and I'm not impressed at all. I could have saved mone... | True
| 9 | NIv2 | task587_amazonfood_polarity_correction_classification | fs_opt |
In this task, you are given a sentence in the Hindi language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Q: प्रत्यक्षदर्शियों, तालिबान के सदस्य और अमेरिका और अफगानिस्तान के अधिकारीय... | Two days of ministerial talks have ended without agreement and evidence of a possible deadlock between developing and developed countries.
****
| 4 | NIv2 | task433_alt_hi_en_translation | fs_opt |
You are given a target race, and two sentences. Your task is to determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified notion of a group of people. An anti-stereotype is an idea th... | anti-stereotype
| 7 | NIv2 | task320_stereoset_classification_race | fs_opt |
In this task, you are given a summary for US Congressional and California state bill, your task is to generate a Title for this bill. The preferred titles are under forty words and mention the purpose of the bill.
[EX Q]: Crowdfunding Amendments Act This bill amends the Securities Act of 1933 to allow a crowdfunding i... | Agricultural Mediation Improvement Act of 1994
| 6 | NIv2 | task1659_title_generation | fs_opt |
TASK DEFINITION: In this task, you will be shown a conversation and a question. You need to write an implausible answer to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. "W" and "M" in the conversations stand for "woman" and "man".
PROBLEM: M: So, do you have any speci... | The schedule has been misprinted.
| 8 | NIv2 | task283_dream_incorrect_answer_generation | fs_opt |
TASK DEFINITION: In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
PROBLEM: Analysts predict, however, that the leu's surge can... | आपातकालीन सेवाओं द्वारा खोज और बचाव दल भियवाया गया और कंबल, भोजन और पानी दिया गया।
| 8 | NIv2 | task432_alt_en_hi_translation | fs_opt |
Given a paragraph, generate a claim that is supported by the given paragraph. 1) The claim must contain information from within the paragraph. 2) A sentence within the paragraph can be used as a claim. 3) The claim should not have contradictions within the paragraph. 4) The claim should be at most one sentence long.
I... | Output: UK rejects Merck's Keytruda as initial treatment for lung cancer.
| 2 | NIv2 | task1368_healthfact_sentence_generation | 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
| 0 | NIv2 | task1215_atomic_classification_capableof | fs_opt |
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 list all elements of A from the ith element to the jth element. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
[EX Q]: 26, 28, ['5639', '1847', '39... | 6949, 2581, G
| 6 | NIv2 | task091_all_elements_from_index_i_to_j | fs_opt |
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.
Q: Article: The teaching of physics in... | No
****
| 4 | NIv2 | task310_race_classification | fs_opt |
Predict the next word given an incomplete English Sentence.
Q: still when he recollected
A: the
****
Q: take it to your master madame will await my return yes
A: go
****
Q: bordered with wild rose bushes it's no wonder matthew and marilla are both a little odd living away back here by themselves trees aren't much co... | look
****
| 4 | NIv2 | task963_librispeech_asr_next_word_prediction | fs_opt |
instruction:
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.
question:
What is the US state capital of Iowa?
answer:
des moines
question:
Who starred with Bette Davis in the 1962 film Whatever Happened To Baby Jane... | maeve binchy
| 9 | NIv2 | task898_freebase_qa_answer_generation | fs_opt |
Given a sentence in the Japanese and Thai 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: 今の若い１０代の女の子は、テレビをつけて、Wリーグを見て、ヒーローを追いかけるという選択肢があります。
Thai: วัยรุ่นหญิงสมั... | Output: No
| 2 | NIv2 | task1129_alt_ja_th_answer_generation | fs_opt |
In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every odd number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no odd numbers in an inner list you shoul... | [-435267, 47, -25, 81, -1189, 21, 1505, -13, -25, -777, -43, -5, -527, 25]
****
| 4 | NIv2 | task852_synthetic_multiply_odds | fs_opt |
instruction:
In this task, you are given a natural language interpretation of commands (consist of logical operations) to select relevant rows from the given table. Your job is to generate command (in terms of logical operations) from given natural language interpretation. Define body (contains a collection of statemen... | greater { hop { filter_eq { all_rows ; municipality ; tecate } ; area ( km2 ) } ; hop { filter_eq { all_rows ; municipality ; tijuana } ; area ( km2 ) } }
| 9 | NIv2 | task210_logic2text_structured_text_generation | fs_opt |
In this task, you're given a review from Amazon's food products. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral or mixed, 4: good, 5: extremely good.
[EX Q]: I really like this granola - their hemp granola is my favorite... | 1
| 6 | NIv2 | task588_amazonfood_rating_classification | fs_opt |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
Example Input: 今日我々は男女のバランスがとれた報道局となりました
Example Output: و امروز ما از بالانس جنسیتی بیشتری در اتاق خبر برخورداریم.
Example Input: ともあれ
Example Output: اهمیتی نداره.
Example Input: あの親指をつかんでください ！
Example Output: | آن دست را بگیر!
| 3 | NIv2 | task1098_ted_translation_ja_fa | fs_opt |
In this task, you are given a question and answer options for that question. Using this information, you have to classify each text into different topics: medicine, nursery, psychology, chemistry, pharmacology, biology.
[EX Q]: Question: In accounting, which of the following elements should be included in the LIABILIT... | biology
| 6 | NIv2 | task1434_head_qa_classification | fs_opt |
Given a sentence, generate what should be the most likely next statement. The next statement should be reasonable and logically correct.
[Q]: A woman walks in front of the piano to watch the man play the piano. The woman
[A]: applauds shyly after he finishes.
[Q]: A man is parasailing on the ocean. Other people also... | then talk to each other.
| 5 | NIv2 | task453_swag_answer_generation | fs_opt |
You are given a sentence and a question in the input. If the information provided in the sentence is enough to answer the question, label "Yes", otherwise label "No". Do not use any facts other than those provided in the sentence while labeling "Yes" or "No". There are only two types of valid responses: Yes and No.
[E... | No.
| 6 | NIv2 | task050_multirc_answerability | fs_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
| 6 | NIv2 | task382_hybridqa_answer_generation | fs_opt |
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 thought or context ("and..."). 1 In short, a "Yes, and" is a dialogue exchang... | At this point, Ms. Charlile, I'm going to remind you that anything you say can and will be used against you, especially stuff like "Kill him! We'll bury him next to my husband."
| 0 | NIv2 | task360_spolin_yesand_response_generation | fs_opt |
In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with the same order as the internal lists.
Ex Input:
[[-20, -... | [-64, 49, 36, 100, 19, 70, -49]
| 1 | NIv2 | task207_max_element_lists | fs_opt |
instruction:
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) =... | ['CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_AND_PUNCUATION_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', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_AND_PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO... | 9 | NIv2 | task1416_youtube_caption_corrections_incorrect_grammar_classification | fs_opt |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into English.
Example Input: 他の場所に住んでいてアメリカまで行けないという人からこのアルバムを聴いてみたいという問い合わせがくることもあります
Example Output: We're sometimes contacted by people in other parts of the world who can't travel to the United States, but would like to hear this ... | In India there is a rape every three minutes.
| 3 | NIv2 | task1222_ted_translation_ja_en | fs_opt |
In this task you will be given a list of numbers. A list is shown by two brackets and comma-separated numbers inside, like: [1,2,3]. You should remove all of the even numbers from the list. If every number in the input list is even an empty list should be returned. Zero should be counted as an even number.
[Q]: [9, 30... | [79, 153]
| 5 | NIv2 | task205_remove_even_elements | fs_opt |
TASK DEFINITION: In this task, you are given Wikipedia articles on a range of topics as passages and a question from the passage. We ask you to answer the question by classifying the answer as 0 (False) or 1 (True)
PROBLEM: Passage: Rogue One -- Rogue One: A Star Wars Story, or simply Rogue One, is a 2016 American spac... | 1
| 8 | NIv2 | task1661_super_glue_classification | fs_opt |
This task is about translating a given English language sentence to Yoruba language.
--------
Question: It was not easy for me to choose which way to go and what to do”
Answer: Kò rọrùn fún mi láti mọ ohun tí màá ṣe tàbí ibi tí màá lọ báyìí".
Question: The lazy person replies “yes” to all propositions.
Answer: Ọ̀lẹ... | Ó dunni gan-an pé nǹkan bíi wákàtí méjì gbáko ni wọ́n fi hùwà ìkà burúkú yìí sáwọn ará wa.
| 7 | NIv2 | task1685_menyo20k_translation | fs_opt |
In this task, you need to count the number of words in a sentence that start with the given letter. Answer with numbers and not words.
Example Input: Sentence: 'a group of people sitting at a long table in a wine cellar'. How many words start with the letter 'a' in the sentence.
Example Output: 4
Example Input: Sent... | 3
| 3 | NIv2 | task162_count_words_starting_with_letter | fs_opt |
In this task, you need to answer basic science questions. For each question, several terms are intentionally masked with ***. This masking can cover very few or many of the question words. Clearly, if masked terms are important, the modified question will be impossible to answer. Please indicate the correct answer with... | Output: B.
| 2 | NIv2 | task043_essential_terms_answering_incomplete_questions | fs_opt |
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', 'spaceflight', 'media_common'... | film
| 3 | NIv2 | task900_freebase_qa_category_classification | fs_opt |
In this task you're given a question and you have to paraphrase the question to create the output question while retaining the meaning of the original question.
[EX Q]: What are some of the best websites to watch and download anime?
[EX A]: What are the best sites to watch TV shows?
[EX Q]: Which is the best data sci... | How do I deal with close minded teachers?
| 6 | NIv2 | task1345_glue_qqp_question_paraprashing | fs_opt |
In this task, you're given a four sentences of story written in natural language. Your job is to complete end part of the story by predicting appropriate last sentence which is coherent with the given sentences.
Example Input: Sentence1: Harold was a mailman doing his job. Sentence2: He had one package with a mysterio... | Chad was glad to find a dress for his daughter today.
| 3 | NIv2 | task105_story_cloze-rocstories_sentence_generation | fs_opt |
TASK DEFINITION: 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 fu... | Funny
| 8 | NIv2 | task495_semeval_headline_classification | fs_opt |
You are given a question-answer pair. Answer with their type. Pay attention that there may be more than one correct type, but you only have to choose one. In your responses, use of the following types:
(1) Humans: Any individual or group of humans, including fictional ones (e.g., a group or organization of persons , a... | Humans.
| 5 | NIv2 | task046_miscellaneous_question_typing | fs_opt |
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 thought or context ("and..."). 1 In short, a "Yes, and" is a dialogue exchang... | Some say that, but, I like to know what's going on in the area in which I live.
| 0 | NIv2 | task360_spolin_yesand_response_generation | fs_opt |
instruction:
In this task, you are given an utterance, which is a part of a conversation between a user and an agent. Your job is to detect the speaker. The user usually commands the agent to schedule events, retrieve event information, and check the schedule. While the agent's response is an answer to the user's quest... | user
| 9 | NIv2 | task1599_smcalflow_classification | fs_opt |
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).
[EX Q]: Paragraph: When a person exercises regularly, and is fit, the heart undergoes certain long-term adaptations. The heart muscle gets stronger, and expels... | less inertia
| 6 | NIv2 | task1731_quartz_question_answering | fs_opt |
In this task, you will be shown an extract from a movie plot and a question. You need to provide the correct answer for it. Short answers containing words that are present in the passage are preferred.
Q: The Royal Hong Kong Police Force is planning a major undercover sting called "Operation Boar Hunt" to arrest crime... | Answer: Morgana
****
| 4 | NIv2 | task194_duorc_answer_generation | fs_opt |
In this task, you need to count the number of times the given letter appears in the given sentence.
--------
Question: Sentence: 'soccer players on opposite teams fight for control over a ball'. Find frequency of the letter 't'
Answer: 4
Question: Sentence: 'a child sitting a table with a pizza in front of him'. Fin... | 3
| 7 | NIv2 | task113_count_frequency_of_letter | fs_opt |
You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
what is the rating of Things You Can Tell Just by Looking at Her?
good
what films did Mort Ransen write?
Margaret's Museum
which person w... | Beverley Cross, Ray Harryhausen
| 0 | NIv2 | task615_moviesqa_answer_generation | fs_opt |
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 expectations, Label these instances as "situational". po... | polarity
| 0 | NIv2 | task387_semeval_2018_task3_irony_classification | fs_opt |
instruction:
In this task, you are given a text which is the body of a document. Your job is to classify the topic of the document into these categories: 1)Company, 2)Educational Institution, 3)Artist, 4)Athlete, 5)Office Holder, 6)Mean of transportation, 7)Building, 8)Natural place, 9)Village, 10)Animal, 11)Plant, 12)... | 14
| 9 | NIv2 | task629_dbpedia_14_classification | fs_opt |
TASK DEFINITION: You will be given a passage, and your task is to generate a Yes/No question that is answerable based on the given passage.
PROBLEM: The compound hydrogen chloride has the chemical formula HCl and as such is a hydrogen halide. At room temperature, it is a colorless gas, which forms white fumes of hydroc... | can you develop an allergy to your own sweat?
| 8 | NIv2 | task381_boolq_question_generation | fs_opt |
TASK DEFINITION: You are given an original reference as well as a system generated reference. Your task is to judge the naturaleness of the system generated reference. If the utterance could have been produced by a native speaker output 1, else output 0.
PROBLEM: System Reference: x is an italian restaurant near x.
Ori... | 1
| 8 | NIv2 | task1186_nne_hrngo_classification | fs_opt |
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... | Business
| 1 | NIv2 | task379_agnews_topic_classification | fs_opt |
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