source stringlengths 17 501k | target stringlengths 0 8.23k | task_name stringlengths 8 85 | task_source stringclasses 4
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In this task, you need to remove all words of a given length in the sentence. The number of letters in a word determine its length, for example, the length of the word "apple" is 5.
Example Input: Sentence: 'a very nice looking train in the dark'. Remove all words of length '7' in the given sentence.
Example Output: a... | a of photos containing furniture and
| task377_remove_words_of_given_length | NIv2 | fs_opt | 3 | train |
Q: In this task, you need to remove all words of a given length in the sentence. The number of letters in a word determine its length, for example, the length of the word "apple" is 5.
Sentence: 'a person in black is standing in skis'. Remove all words of length '5' in the given sentence.
A: | a person in is standing in skis | task377_remove_words_of_given_length | NIv2 | zs_opt | 7 | train |
Detailed Instructions: In this task, you need to remove all words of a given length in the sentence. The number of letters in a word determine its length, for example, the length of the word "apple" is 5.
Problem:Sentence: 'a black cat sitting on top of a pot for a plant'. Remove all words of length '7' in the given se... | a black cat on top of a pot for a plant | task377_remove_words_of_given_length | NIv2 | zs_opt | 8 | train |
In this task, you need to remove all words of a given length in the sentence. The number of letters in a word determine its length, for example, the length of the word "apple" is 5.
Example: Sentence: 'breakfast and a glass of milk is on the table'. Remove all words of length '3' in the given sentence.
Example solution... | Solution: a store ful baskets over flowing | task377_remove_words_of_given_length | NIv2 | fs_opt | 5 | train |
In this task, you need to remove all words of a given length in the sentence. The number of letters in a word determine its length, for example, the length of the word "apple" is 5.
Sentence: 'a rural landscape with a dirt road and a cow standing on the roadside'. Remove all words of length '5' in the given sentence. | a landscape with a dirt road and a cow standing on the roadside | task377_remove_words_of_given_length | NIv2 | zs_opt | 0 | train |
In this task, you need to remove all words of a given length in the sentence. The number of letters in a word determine its length, for example, the length of the word "apple" is 5.
Q: Sentence: 'a girl with sunglasses looking at her phone'. Remove all words of length '3' in the given sentence.
A: a girl with sunglas... | a woman standing next a in a room looking at a box on the floor
****
| task377_remove_words_of_given_length | NIv2 | fs_opt | 4 | train |
In this task, you need to remove all words of a given length in the sentence. The number of letters in a word determine its length, for example, the length of the word "apple" is 5.
Let me give you an example: Sentence: 'breakfast and a glass of milk is on the table'. Remove all words of length '3' in the given senten... | a group of people standing at bottom of an escalator | task377_remove_words_of_given_length | NIv2 | fs_opt | 8 | train |
Detailed Instructions: In this task, you need to remove all words of a given length in the sentence. The number of letters in a word determine its length, for example, the length of the word "apple" is 5.
Q: Sentence: 'several kites being flown on the beach by people'. Remove all words of length '3' in the given senten... | several kites being flown on beach by people | task377_remove_words_of_given_length | NIv2 | zs_opt | 9 | train |
Detailed Instructions: In this task, you need to remove all words of a given length in the sentence. The number of letters in a word determine its length, for example, the length of the word "apple" is 5.
Q: Sentence: 'an elephant holding its trunk out during the night in a field'. Remove all words of length '2' in the... | elephant holding its trunk out during the night a field | task377_remove_words_of_given_length | NIv2 | zs_opt | 9 | test |
In this task, you need to remove all words of a given length in the sentence. The number of letters in a word determine its length, for example, the length of the word "apple" is 5.
Let me give you an example: Sentence: 'breakfast and a glass of milk is on the table'. Remove all words of length '3' in the given senten... | girl is standing in field and flying kite | task377_remove_words_of_given_length | NIv2 | fs_opt | 8 | validation |
You are given a Catalan sentence with a blank, and you need to predict the missing word.
Ex Input:
Segons el president del Consell Comarcal , Agustí Redó , la mineria , que ocupa directament unes 1.300 persones , és un sector estratègic al Bages ____ per tant , el Consell ha d' assumir les seves responsabilitats i exe... | quedar
| task962_ancora_ca_ner_missing_word_prediction | NIv2 | fs_opt | 1 | train |
Q: You are given a Catalan sentence with a blank, and you need to predict the missing word.
Paral·lelament a les accions informatives i per a reduir els efectes de l' aturada ____ l' Ajuntament instal·larà 22 contenidors de recollida de brossa més als carrers del Nucli Antic on la recollida encara es fa porta a porta .... | , | task962_ancora_ca_ner_missing_word_prediction | NIv2 | zs_opt | 7 | train |
Given the task definition and input, reply with output. You are given a Catalan sentence with a blank, and you need to predict the missing word.
El 65 per cent es destinarà a ____ públics , vialitat i zones verdes , mentre que el 35 per cent restant serà de titularitat privada .
| equipaments | task962_ancora_ca_ner_missing_word_prediction | NIv2 | zs_opt | 5 | train |
Instructions: You are given a Catalan sentence with a blank, and you need to predict the missing word.
Input: Les propostes lúdiques provenen d' un estudi encarregat per la Cambra a una empresa de Barcelona i presentat aquest dijous a la tarda al Comú d' Escaldes davant el ministre de Turisme i un centenar de represent... | andorrà | task962_ancora_ca_ner_missing_word_prediction | NIv2 | zs_opt | 3 | train |
Q: You are given a Catalan sentence with a blank, and you need to predict the missing word.
Carod-Rovira ha ____ que ' Catalunya esponsoritza Espanya ' , ja que cada català aporta cada any 220.000 pessetes a Madrid que mai no tornen .
A: | dit | task962_ancora_ca_ner_missing_word_prediction | NIv2 | zs_opt | 7 | train |
You are given a Catalan sentence with a blank, and you need to predict the missing word.
Q: El líder republicà ha dit que ' hi ha motius suficients per considerar que el Pla Hidrològic és inconstitucional ' , per la qual cosa es proposarà al Parlament ____ Catalunya de dur -lo al Consell Consultiu de la Generalitat .
... | Julián
****
| task962_ancora_ca_ner_missing_word_prediction | NIv2 | fs_opt | 4 | train |
Detailed Instructions: You are given a Catalan sentence with a blank, and you need to predict the missing word.
Problem:Aquesta situació , segons Carod , ' és l' ____ mentre formem part de l' Estat ' .
Solution: | ideal | task962_ancora_ca_ner_missing_word_prediction | NIv2 | zs_opt | 8 | train |
Instructions: You are given a Catalan sentence with a blank, and you need to predict the missing word.
Input: El conseller ha assenyalat que tampoc es té coneixement que ____ hagi demanat formalment la realització de les obres a la pròpia ACA .
Output: | s' | task962_ancora_ca_ner_missing_word_prediction | NIv2 | zs_opt | 3 | train |
Instructions: You are given a Catalan sentence with a blank, and you need to predict the missing word.
Input: La protesta ha aplegat una setantena ____ empleats , gairebé el total de la plantilla , que és de 80 treballadors .
Output: | d' | task962_ancora_ca_ner_missing_word_prediction | NIv2 | zs_opt | 3 | test |
You are given a Catalan sentence with a blank, and you need to predict the missing word.
[EX Q]: La Cambra de ____ proposa dinamitzar el sector turístic andorrà amb la creació d' un petit parc temàtic , un casino , un camp de golf , un palau de congressos i un centre d' oci familiar .
[EX A]: Comerç
[EX Q]: El pressu... | Els
| task962_ancora_ca_ner_missing_word_prediction | NIv2 | fs_opt | 6 | validation |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in English. Your job is to translate the English sentence into Polish.
It's also interesting to think about what other things are — so if these all enabled great values, why should we think that evolution has happened... | Ciekawe jest również, że inne rzeczy... Ewolucja dała nam umiejętność docenienia pewnych wartości, ale dlaczego zakładać, że we wszechświecie nie ma wartości nam niedostępnych? | task1092_ted_translation_en_pl | NIv2 | zs_opt | 1 | train |
Q: You are given a sentence in English. Your job is to translate the English sentence into Polish.
The smoking debate took 40 years, and that was an easy one.
A: | Debata o paleniu trwała 40 lat, a była tą łatwą. | task1092_ted_translation_en_pl | NIv2 | zs_opt | 7 | train |
You are given a sentence in English. Your job is to translate the English sentence into Polish.
[Q]: At our final class, I asked you if there was anything you wanted.
[A]: Na ostatniej lekcji zapytałam was, czy jest coś, czego byście chcieli.
[Q]: And it turns out that illiterate people are masters of delegation.
[A... | Zamiast ostatniego bipa Owens usłyszałby drugi.
| task1092_ted_translation_en_pl | NIv2 | fs_opt | 5 | train |
Definition: You are given a sentence in English. Your job is to translate the English sentence into Polish.
Input: And so I had this T.V. show.
Output: | Więc miałem ten show telewizyjny. | task1092_ted_translation_en_pl | NIv2 | zs_opt | 2 | train |
You are given a sentence in English. Your job is to translate the English sentence into Polish.
From your standpoint this means a great increase in climate refugees over the coming decades, and what goes along with that, which is resource wars and chaos wars, as we're seeing in Darfur. | Z waszego punktu widzenia oznacza to znaczny wzrost liczby uchodźców klimatycznych w nadchodzących dekadach, a co za tym idzie — wojnę o zasoby i chaos, które widzimy np. w Darfurze. | task1092_ted_translation_en_pl | NIv2 | zs_opt | 0 | train |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in English. Your job is to translate the English sentence into Polish.
You see, markets and politics then were one, unified, accessible, transparent, because they gave power to the people.
Output: | Rynek i polityka kiedyś się łączyły. Były łatwo dostępne i dawały władzę. | task1092_ted_translation_en_pl | NIv2 | zs_opt | 1 | train |
Teacher:You are given a sentence in English. Your job is to translate the English sentence into Polish.
Teacher: Now, understand the problem? Solve this instance: He started a computer tournament for people to submit prisoner's dilemma strategies and discovered, much to his surprise, that a very, very simple strategy w... | Zaczął turniej komputerowy dla ludzi by poddać badaniu dylemat więźnia i odkrył dla jego zdziwienia, że bardzo, bardzo prosta strategia wygrała Wygrała pierwszy turniej, i nawet później gdy wszyscy wiedzieli że wygrała wygrała drugi turniej. Jest znana jako wet za wet | task1092_ted_translation_en_pl | NIv2 | zs_opt | 6 | train |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Polish.
Problem:And so I started to think, well, you know, density, density — I'm not sure if, you know, this was the right call.
Solution: | Zacząłem myśleć: gęstość, gęstość — nie byłem pewien, ale to było to. | task1092_ted_translation_en_pl | NIv2 | zs_opt | 8 | train |
Definition: You are given a sentence in English. Your job is to translate the English sentence into Polish.
Input: You can see faint detail that starts to come through.
Output: | Widać więcej detali, gwiazdy są lepiej widoczne. | task1092_ted_translation_en_pl | NIv2 | zs_opt | 2 | test |
You are given a sentence in English. Your job is to translate the English sentence into Polish.
So, yeah. (Applause) Then we have this plant here. | Tak... (Brawa) Tu mamy urządzenie | task1092_ted_translation_en_pl | NIv2 | zs_opt | 0 | validation |
Take That are an English pop group formed in Manchester, in 1989. The group currently consists of Gary Barlow, Howard Donald and Mark Owen. The original line-up also featured Jason Orange and Robbie Williams. Barlow acts as the group's lead singer and primary songwriter, with Owen and Williams initially providing backi... | Why Can't I Wake Up with You | quac_1_0_0 | Flan2021 | zs_opt | 3 | train |
Which entity is this text about?
Hedren was born on January 19, 1930, in New Ulm, Minnesota, to Bernard Carl and Dorothea Henrietta (nee Eckhardt) Hedren. For much of her career, Hedren's year of birth was reported as 1935. In 2004, however, she acknowledged that she was actually born in 1930 (which is consistent with... | Tippi Hedren | quac_1_0_0 | Flan2021 | zs_noopt | 8 | train |
Problem: Background: Mark Lavon "Levon" Helm (May 26, 1940 - April 19, 2012) was an American musician and actor who achieved fame as the drummer and one of the vocalists for The Band. Helm was known for his deeply soulful, country-accented voice, multi-instrumental ability, and creative drumming style, highlighted on m... | In one of the numerous raids carried out by Indian pilots against Pakistani airfields, Yeager's plane was destroyed | quac_1_0_0 | Flan2021 | fs_noopt | 7 | train |
Background: Rabindranath Tagore FRAS ( ( listen); Bengali: [robindronath thakur]), also written Ravindranatha Thakura (7 May 1861 - 7 August 1941), sobriquet Gurudev, was a Bengali polymath who reshaped Bengali literature and music, as well as Indian art with Contextual Modernism in the late 19th and early 20th centuri... | The date is still mourned. | quac_1_0_0 | Flan2021 | zs_noopt | 4 | train |
IN: The Wallflowers are an American rock band formed in Los Angeles in 1989 by singer-songwriter Jakob Dylan and guitarist Tobi Miller. The band has gone through a number of personnel changes but has remained centered on Dylan. After releasing their eponymous debut album in 1992, the Wallflowers released what would bec... | was was the last thing he worked on? | quac_1_0_0 | Flan2021 | fs_opt | 4 | train |
Which entity is this text about?
The New York Public Library (NYPL) is a public library system in New York City. With nearly 53 million items and 92 locations, the New York Public Library is the second largest public library in the United States (behind the Library of Congress), and fourth largest in the world. It is ... | New York Public Library | quac_1_0_0 | Flan2021 | zs_noopt | 8 | train |
Answer by taking a quote from the following article:
Joseph Patrick Kennedy Sr. (September 6, 1888 - November 18, 1969) was an American businessman, investor, and politician known for his high-profile positions in United States politics. Kennedy was married to Rose Kennedy, and three of their nine children attained di... | Kennedy graduated from Harvard in 1912 with an A.B. in economics, | quac_1_0_0 | Flan2021 | zs_opt | 2 | train |
input: Lady Antebellum was formed in 2006, in Nashville, Tennessee, by Charles Kelley, Dave Haywood, and Hillary Scott. Scott is the daughter of country music singer Linda Davis, best known for her duet vocals on Reba McEntire's 1993 hit "Does He Love You", and Charles Kelley is the brother of pop and country artist Jo... | He used the names Frederick Bliss and P.Q. Gump when he was asked to write an overview of Mormon playwrights "Mormon Shakespeares: A Study of Contemporary Mormon Theatre" | quac_1_0_0 | Flan2021 | fs_noopt | 6 | train |
IN: Juan Ponce de Leon (Spanish pronunciation: ['xwan 'ponthe de le'on]; 1474 - July 1521) was a Spanish explorer and conquistador born in Santervas de Campos, Valladolid, Spain in 1474. Though little is known about his family, he was of noble birth and served in the Spanish military from a young age. He first came to ... | Richard III's body was buried in Greyfriars Church in Leicester. | quac_1_0_0 | Flan2021 | fs_noopt | 8 | test |
Background: Burt Freeman Bacharach ( BAK-@-rak; born May 12, 1928) is an American composer, songwriter, record producer, pianist, and singer who has composed hundreds of popular hit songs from the late 1950s through the 1980s, many in collaboration with popular lyricist Hal David. A six-time Grammy Award winner and thr... | early 1960s; when they weren't touring, he wrote songs. | quac_1_0_0 | Flan2021 | zs_opt | 5 | validation |
Detailed Instructions: A text is given in Telugu. Translate it from the Telugu language to the Urdu language. The translation must not omit or add information to the original sentence.
Q: నాచ్ భికారి నాచ్
A: | ناچ بھکاری ناچ | task1037_pib_translation_telugu_urdu | NIv2 | zs_opt | 9 | train |
Given the task definition and input, reply with output. A text is given in Telugu. Translate it from the Telugu language to the Urdu language. The translation must not omit or add information to the original sentence.
ఒప్పందం లోని ప్రధాన అంశాలు ఈ కింది విధంగా ఉన్నాయి:
| معاہدے کی خاصیتوں میں یہ نکات بھی شامل ہیں: | task1037_pib_translation_telugu_urdu | NIv2 | zs_opt | 5 | train |
A text is given in Telugu. Translate it from the Telugu language to the Urdu language. The translation must not omit or add information to the original sentence.
Q: 17 లక్షల కిలో మీటర్ల గ్రామీణ రహదారులు, 51 లక్షల కొత్త గ్రామీణ గృహాలు, 1.
A: | 17لاکھ کلومیٹردیہی سڑکیں بنیں گی۔ 51لاکھ نئے دیہی مکانات فراہم ہوں گے۔1. | task1037_pib_translation_telugu_urdu | NIv2 | zs_opt | 4 | train |
Q: A text is given in Telugu. Translate it from the Telugu language to the Urdu language. The translation must not omit or add information to the original sentence.
జి) రెండు దేశాలను ఆకర్షణీయమైన పర్యటక గమ్యాలు గా ప్రోత్సహించడం కోసం ఫిల్మ్ టూరిజమ్ మార్గాన్ని అనుసరించడం.
A: | 7-دونوں ملکوں کو مقبول سیاحتی مراکز کے طور پر فروغ دینے کی خاطر فلم سیاحت کے ذریعے باہمی تعاون کو فروغ دینا۔ | task1037_pib_translation_telugu_urdu | NIv2 | zs_opt | 7 | train |
Given the task definition and input, reply with output. A text is given in Telugu. Translate it from the Telugu language to the Urdu language. The translation must not omit or add information to the original sentence.
5 వేల లక్షల డాలర్ల ఆర్ధిక వ్యవస్థ దిశగా.
| 5 کھرب ڈالر معیشت کے حصول کی جانب | task1037_pib_translation_telugu_urdu | NIv2 | zs_opt | 5 | train |
A text is given in Telugu. Translate it from the Telugu language to the Urdu language. The translation must not omit or add information to the original sentence.
--------
Question: శాంతియుత ప్రయోజనాల కోసం బాహ్య అంతరిక్షాన్ని ఉపయోగించుకోవడం, అన్వేషణ లో పరస్పర సహకారాని కి సంబంధించి బొలీవియన్ అంతరిక్ష సంస్థ... | آیوشمان بھارت کے توسط سے صحت مند معاشرے کی تشکیل، تغذیہ سے مالا مال خواتین اور بچے، شہریوں کا تحفظ
| task1037_pib_translation_telugu_urdu | NIv2 | fs_opt | 7 | train |
A text is given in Telugu. Translate it from the Telugu language to the Urdu language. The translation must not omit or add information to the original sentence.
[Q]: 3) సమాచారాన్ని మరియు విద్యా రంగ సంబంధిత ప్రచురణల ను పరస్పరం అందజేసుకోవడం.
[A]: معلومات اور اکیڈمک اشاعتوں کی لین دین۔
[Q]: కేంద్ర మరియు రాష్... | بچوں کے تحفظ کے لیے سخت قانون کی ضرورت تھی۔ ہم نے اس کام کو بھی مکمل کرلیا ہے۔
| task1037_pib_translation_telugu_urdu | NIv2 | fs_opt | 5 | train |
A text is given in Telugu. Translate it from the Telugu language to the Urdu language. The translation must not omit or add information to the original sentence.
--------
Question: 5 కోట్లకు మించి ఉన్న వ్యక్తులు చెల్లించవలసిన సర్చార్జీ పెంపు పన్ను చెల్లింపులు పెరిగాయి.
Answer: ٹیکس ادائیگی کے زمرے میں ایز آف ڈوئنگ بزن... | فروخت کو فروغ دینے والے ملازمین (سروس کے شرائط) ایکٹ، 1976
| task1037_pib_translation_telugu_urdu | NIv2 | fs_opt | 7 | train |
Detailed Instructions: A text is given in Telugu. Translate it from the Telugu language to the Urdu language. The translation must not omit or add information to the original sentence.
Problem:7వ కేంద్ర వేతన సంఘం సిఫార్సుల ఆధారంగా ఆమోదం పొందిన ఫార్ములా కు అనుగుణంగా ఈ పెరుగుదల నిర్ణయించడం జరిగింది.
Solution: | تنخواہوں اور پنشن میں یہ اضافہ منظور شدہ فارمولے کے مطابق ہے جو ساتویں مرکزی تنخواہ کمیشن کی سفارشات پر مبنی ہے۔ | task1037_pib_translation_telugu_urdu | NIv2 | zs_opt | 8 | test |
Definition: A text is given in Telugu. Translate it from the Telugu language to the Urdu language. The translation must not omit or add information to the original sentence.
Input: ప్రస్తుతం కాంట్రాక్టులు ఆచరణాత్మకంగా ఉన్నటువంటి ప్రాంతాలలో ఏవైనా సంభావ్య హైడ్రోకార్బన్ నిక్షేపాలు గుర్తింపునకు, వినియోగానికి నోచుకోక... | اس پالیسی کی مدد سے ٹھیکے والے موجودہ علاقوں میں ہائیڈرو کاربنز کے ذخیروں کو تلاش کیا جاسکے گا جو بصورت دیگر غیر تلاش شدہ اور غیر استعمال شدہ رہ جائیں گے۔ | task1037_pib_translation_telugu_urdu | NIv2 | zs_opt | 2 | validation |
Given the task definition and input, reply with output. In this task, you are given a pair of action statements. Your task is to check if you can conclusively identify which statement is less ethical or not. Answer: 'no' if one of the statements is less ethical, and 'yes' otherwise.
ACTION1: wanting to break up with m... | no | task508_scruples_dilemmas_more_ethical_isidentifiable | NIv2 | zs_opt | 5 | train |
Given the task definition and input, reply with output. In this task, you are given a pair of action statements. Your task is to check if you can conclusively identify which statement is less ethical or not. Answer: 'no' if one of the statements is less ethical, and 'yes' otherwise.
ACTION1: drinking a small amount of... | yes | task508_scruples_dilemmas_more_ethical_isidentifiable | NIv2 | zs_opt | 5 | train |
instruction:
In this task, you are given a pair of action statements. Your task is to check if you can conclusively identify which statement is less ethical or not. Answer: 'no' if one of the statements is less ethical, and 'yes' otherwise.
question:
ACTION1: telling my girlfriend if he ever get married I would would a... | no
| task508_scruples_dilemmas_more_ethical_isidentifiable | NIv2 | fs_opt | 9 | train |
Teacher: In this task, you are given a pair of action statements. Your task is to check if you can conclusively identify which statement is less ethical or not. Answer: 'no' if one of the statements is less ethical, and 'yes' otherwise.
Teacher: Now, understand the problem? If you are still confused, see the following ... | yes | task508_scruples_dilemmas_more_ethical_isidentifiable | NIv2 | fs_opt | 2 | train |
Detailed Instructions: In this task, you are given a pair of action statements. Your task is to check if you can conclusively identify which statement is less ethical or not. Answer: 'no' if one of the statements is less ethical, and 'yes' otherwise.
Problem:ACTION1: not following my mom back to my grandma's house ACTI... | no | task508_scruples_dilemmas_more_ethical_isidentifiable | NIv2 | zs_opt | 8 | train |
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 pair of action statements. Your task is to check if you can conclusively identify which statement is less ethical or not. Answer: 'no' if one of the statements is less e... | yes | task508_scruples_dilemmas_more_ethical_isidentifiable | NIv2 | fs_opt | 0 | train |
Part 1. Definition
In this task, you are given a pair of action statements. Your task is to check if you can conclusively identify which statement is less ethical or not. Answer: 'no' if one of the statements is less ethical, and 'yes' otherwise.
Part 2. Example
ACTION1: telling my friends sister that she probably won'... | yes | task508_scruples_dilemmas_more_ethical_isidentifiable | NIv2 | fs_opt | 7 | train |
Detailed Instructions: In this task, you are given a pair of action statements. Your task is to check if you can conclusively identify which statement is less ethical or not. Answer: 'no' if one of the statements is less ethical, and 'yes' otherwise.
Problem:ACTION1: leaving a friend of mine for her mental illness ACTI... | yes | task508_scruples_dilemmas_more_ethical_isidentifiable | NIv2 | zs_opt | 8 | train |
Instructions: In this task, you are given a pair of action statements. Your task is to check if you can conclusively identify which statement is less ethical or not. Answer: 'no' if one of the statements is less ethical, and 'yes' otherwise.
Input: ACTION1: not wanting to go to my dads girlfriend who I've never seen AC... | yes | task508_scruples_dilemmas_more_ethical_isidentifiable | NIv2 | zs_opt | 3 | test |
In this task, you are given a pair of action statements. Your task is to check if you can conclusively identify which statement is less ethical or not. Answer: 'no' if one of the statements is less ethical, and 'yes' otherwise.
Input: Consider Input: ACTION1: not helping my so with her panic attacks ACTION2: taking is... | Output: no
| task508_scruples_dilemmas_more_ethical_isidentifiable | NIv2 | fs_opt | 2 | validation |
You will be given a context and a question in Spanish. Your job is to generate answers that are at least THREE words long.
The answers need to be context specific and can not be general knowledge or a random guess.
--------
Question: CONTEXT: El descubrimiento del Arte antiguo
Aunque el arte medieval, sobre todo en I... | en torno al 5.550 a. C.
| task1334_sqac_answer_generation | NIv2 | fs_opt | 7 | train |
Teacher:You will be given a context and a question in Spanish. Your job is to generate answers that are at least THREE words long.
The answers need to be context specific and can not be general knowledge or a random guess.
Teacher: Now, understand the problem? Solve this instance: CONTEXT: Accidente
Cuando la aeronav... | el sistema de alerta de despegue | task1334_sqac_answer_generation | NIv2 | zs_opt | 6 | train |
You will be given a definition of a task first, then some input of the task.
You will be given a context and a question in Spanish. Your job is to generate answers that are at least THREE words long.
The answers need to be context specific and can not be general knowledge or a random guess.
CONTEXT: Sin embargo, la d... | La mutua exteriorización de lo a priori y lo empírico | task1334_sqac_answer_generation | NIv2 | zs_opt | 1 | train |
You will be given a context and a question in Spanish. Your job is to generate answers that are at least THREE words long.
The answers need to be context specific and can not be general knowledge or a random guess.
Ex Input:
CONTEXT: Recepción
Tras su estreno, Halo: Combat Evolved rompió varios récord de ventas; par... | Los sindicatos de la función pública
| task1334_sqac_answer_generation | NIv2 | fs_opt | 1 | train |
Definition: You will be given a context and a question in Spanish. Your job is to generate answers that are at least THREE words long.
The answers need to be context specific and can not be general knowledge or a random guess.
Input: CONTEXT: Martínez calificó este grupo de "muy violento" y dijo que "actúa cuando pued... | Hermandad Nacional Socialista Armagedón | task1334_sqac_answer_generation | NIv2 | zs_opt | 2 | train |
You will be given a definition of a task first, then some input of the task.
You will be given a context and a question in Spanish. Your job is to generate answers that are at least THREE words long.
The answers need to be context specific and can not be general knowledge or a random guess.
CONTEXT: El síndrome de Do... | la presencia de una copia extra del cromosoma 21 (o una parte del mismo) | task1334_sqac_answer_generation | NIv2 | zs_opt | 1 | train |
You will be given a context and a question in Spanish. Your job is to generate answers that are at least THREE words long.
The answers need to be context specific and can not be general knowledge or a random guess.
CONTEXT: Evolución
El lobo marsupial moderno apareció por primera vez hace cuatro millones de años. La... | desde el cuarto al primer milenio antes de Cristo
| task1334_sqac_answer_generation | NIv2 | fs_opt | 0 | train |
You will be given a definition of a task first, then some input of the task.
You will be given a context and a question in Spanish. Your job is to generate answers that are at least THREE words long.
The answers need to be context specific and can not be general knowledge or a random guess.
CONTEXT: Construcción
Aun... | llegaban a pesar 4 toneladas | task1334_sqac_answer_generation | NIv2 | zs_opt | 1 | train |
Given the task definition and input, reply with output. You will be given a context and a question in Spanish. Your job is to generate answers that are at least THREE words long.
The answers need to be context specific and can not be general knowledge or a random guess.
CONTEXT: Otras controversias
En 1870, un activ... | la Flat Earth Society | task1334_sqac_answer_generation | NIv2 | zs_opt | 5 | test |
You will be given a definition of a task first, then some input of the task.
You will be given a context and a question in Spanish. Your job is to generate answers that are at least THREE words long.
The answers need to be context specific and can not be general knowledge or a random guess.
CONTEXT: Más allá de esa f... | los últimos kilómetros de la subida a Ordino-Arcalís | task1334_sqac_answer_generation | NIv2 | zs_opt | 1 | validation |
In this task, you will be given sentences in which you have to recognize the name of the body cells. A cell is a mass of cytoplasm that is bound externally by a cell membrane. Usually microscopic in size, cells are the smallest structural units of living matter and compose all living things. Although there might be sev... | T cell
| task1486_cell_extraction_anem_dataset | NIv2 | fs_opt | 1 | train |
In this task, you will be given sentences in which you have to recognize the name of the body cells. A cell is a mass of cytoplasm that is bound externally by a cell membrane. Usually microscopic in size, cells are the smallest structural units of living matter and compose all living things. Although there might be sev... | NCC
| task1486_cell_extraction_anem_dataset | NIv2 | fs_opt | 1 | train |
Definition: In this task, you will be given sentences in which you have to recognize the name of the body cells. A cell is a mass of cytoplasm that is bound externally by a cell membrane. Usually microscopic in size, cells are the smallest structural units of living matter and compose all living things. Although there ... | cellular | task1486_cell_extraction_anem_dataset | NIv2 | zs_opt | 2 | train |
Detailed Instructions: In this task, you will be given sentences in which you have to recognize the name of the body cells. A cell is a mass of cytoplasm that is bound externally by a cell membrane. Usually microscopic in size, cells are the smallest structural units of living matter and compose all living things. Alth... | platelet | task1486_cell_extraction_anem_dataset | NIv2 | fs_opt | 4 | train |
You will be given a definition of a task first, then some input of the task.
In this task, you will be given sentences in which you have to recognize the name of the body cells. A cell is a mass of cytoplasm that is bound externally by a cell membrane. Usually microscopic in size, cells are the smallest structural unit... | peritumoral lymphocytic | task1486_cell_extraction_anem_dataset | NIv2 | zs_opt | 1 | train |
TASK DEFINITION: In this task, you will be given sentences in which you have to recognize the name of the body cells. A cell is a mass of cytoplasm that is bound externally by a cell membrane. Usually microscopic in size, cells are the smallest structural units of living matter and compose all living things. Although t... | thymocytes
| task1486_cell_extraction_anem_dataset | NIv2 | fs_opt | 8 | train |
Definition: In this task, you will be given sentences in which you have to recognize the name of the body cells. A cell is a mass of cytoplasm that is bound externally by a cell membrane. Usually microscopic in size, cells are the smallest structural units of living matter and compose all living things. Although there ... | cells | task1486_cell_extraction_anem_dataset | NIv2 | zs_opt | 2 | train |
Part 1. Definition
In this task, you will be given sentences in which you have to recognize the name of the body cells. A cell is a mass of cytoplasm that is bound externally by a cell membrane. Usually microscopic in size, cells are the smallest structural units of living matter and compose all living things. Although... | neuronal | task1486_cell_extraction_anem_dataset | NIv2 | fs_opt | 7 | train |
Definition: In this task, you will be given sentences in which you have to recognize the name of the body cells. A cell is a mass of cytoplasm that is bound externally by a cell membrane. Usually microscopic in size, cells are the smallest structural units of living matter and compose all living things. Although there ... | cells | task1486_cell_extraction_anem_dataset | NIv2 | zs_opt | 2 | test |
Given the task definition and input, reply with output. In this task, you will be given sentences in which you have to recognize the name of the body cells. A cell is a mass of cytoplasm that is bound externally by a cell membrane. Usually microscopic in size, cells are the smallest structural units of living matter an... | neurons | task1486_cell_extraction_anem_dataset | NIv2 | zs_opt | 5 | validation |
Given the task definition and input, reply with output. Two analogies that relate items to the associated containers is given in the form "A : B. C : ?". "A : B" relates item A to its associated container B. Your task is to replace the question mark (?) with the appropriate container for the given item C, following the... | bottle | task1159_bard_analogical_reasoning_containers | NIv2 | zs_opt | 5 | train |
Two analogies that relate items to the associated containers is given in the form "A : B. C : ?". "A : B" relates item A to its associated container B. Your task is to replace the question mark (?) with the appropriate container for the given item C, following the "A : B" relation.
[Q]: cereal : box. pickles : ?
[A]: ... | box
| task1159_bard_analogical_reasoning_containers | NIv2 | fs_opt | 5 | train |
Detailed Instructions: Two analogies that relate items to the associated containers is given in the form "A : B. C : ?". "A : B" relates item A to its associated container B. Your task is to replace the question mark (?) with the appropriate container for the given item C, following the "A : B" relation.
Problem:clothe... | box | task1159_bard_analogical_reasoning_containers | NIv2 | zs_opt | 8 | train |
Given the task definition, example input & output, solve the new input case.
Two analogies that relate items to the associated containers is given in the form "A : B. C : ?". "A : B" relates item A to its associated container B. Your task is to replace the question mark (?) with the appropriate container for the given ... | dresser | task1159_bard_analogical_reasoning_containers | NIv2 | fs_opt | 1 | train |
Q: Two analogies that relate items to the associated containers is given in the form "A : B. C : ?". "A : B" relates item A to its associated container B. Your task is to replace the question mark (?) with the appropriate container for the given item C, following the "A : B" relation.
game : box. carrots : ?
A: | bag | task1159_bard_analogical_reasoning_containers | NIv2 | zs_opt | 7 | train |
Part 1. Definition
Two analogies that relate items to the associated containers is given in the form "A : B. C : ?". "A : B" relates item A to its associated container B. Your task is to replace the question mark (?) with the appropriate container for the given item C, following the "A : B" relation.
Part 2. Example
so... | bottle | task1159_bard_analogical_reasoning_containers | NIv2 | fs_opt | 7 | train |
You will be given a definition of a task first, then some input of the task.
Two analogies that relate items to the associated containers is given in the form "A : B. C : ?". "A : B" relates item A to its associated container B. Your task is to replace the question mark (?) with the appropriate container for the given ... | bottle | task1159_bard_analogical_reasoning_containers | NIv2 | zs_opt | 1 | train |
TASK DEFINITION: Two analogies that relate items to the associated containers is given in the form "A : B. C : ?". "A : B" relates item A to its associated container B. Your task is to replace the question mark (?) with the appropriate container for the given item C, following the "A : B" relation.
PROBLEM: plates : cu... | drawer
| task1159_bard_analogical_reasoning_containers | NIv2 | fs_opt | 8 | train |
Two analogies that relate items to the associated containers is given in the form "A : B. C : ?". "A : B" relates item A to its associated container B. Your task is to replace the question mark (?) with the appropriate container for the given item C, following the "A : B" relation.
diapers : box. plates : ?
cupboard
... | frame
| task1159_bard_analogical_reasoning_containers | NIv2 | fs_opt | 0 | test |
Two analogies that relate items to the associated containers is given in the form "A : B. C : ?". "A : B" relates item A to its associated container B. Your task is to replace the question mark (?) with the appropriate container for the given item C, following the "A : B" relation.
Let me give you an example: soda : c... | drawer | task1159_bard_analogical_reasoning_containers | NIv2 | fs_opt | 8 | validation |
A text is given in Bengali. Translate it from the Bengali language to the Panjabi language. The translation must not omit or add information to the original sentence.
Input: Consider Input: আন্টার্টিকায় মাউন্ট ভিনসন অভিযানে যাওয়ার আগে অরুনিমা সিনহার হাতে ত্রিবর্ণরঞ্জিত জাতীয় পতাকা তুলে দিলেন প্রধানমন্ত্রী শ্রী নরেন... | Output: Cabinet apprised of the MoU between India and Italy on cooperation in the field of renewable energy ਭਾਰਤ ਅਤੇ ਇਟਲੀ ਦਰਮਿਆਨ ਅਖੁੱਟ ਊਰਜਾ ਦੇ ਖੇਤਰ ਵਿੱਚ ਸਹਿਯੋਗ ‘ਤੇ ਸਹਿਮਤੀ ਪੱਤਰ ਮੰਤਰੀ ਮੰਡਲ ਨੂੰ ਜਾਣਕਾਰੀ ਦਿੱਤੀ ਗਈ
| task1025_pib_translation_bengali_punjabi | NIv2 | fs_opt | 2 | train |
Definition: A text is given in Bengali. Translate it from the Bengali language to the Panjabi language. The translation must not omit or add information to the original sentence.
Input: নয়াদিল্লি, ১৩ মে, ২০১৯ প্রাক্তন রাষ্ট্রপতি ফকরুদ্দিন আলি আহমেদের জন্মজয়ন্তী উপলক্ষে রাষ্ট্রপতি ভবনে আজ (১৩ই মে) রাষ্ট্রপতি শ্রী রামন... | ਭਾਰਤ ਦੇ ਰਾਸ਼ਟਰਪਤੀ, ਸ਼੍ਰੀ ਰਾਮ ਨਾਥ ਕੋਵਿੰਦ ਨੇ ਅੱਜ (13 ਮਈ, 2019) ਰਾਸ਼ਟਰਪਤੀ ਭਵਨ ਵਿੱਚ ਸਾਬਕਾ ਰਾਸ਼ਟਰਪਤੀ, ਸ਼੍ਰੀ ਫ਼ਖਰੂਦੀਨ ਅਲੀ ਅਹਮਦ ਨੂੰ ਉਨ੍ਹਾਂ ਦੀ ਜਯੰਤੀ 'ਤੇ ਸ਼ਰਧਾਂਜਲੀ ਅਰਪਿਤ ਕੀਤੀ। | task1025_pib_translation_bengali_punjabi | NIv2 | zs_opt | 2 | train |
Given the task definition and input, reply with output. A text is given in Bengali. Translate it from the Bengali language to the Panjabi language. The translation must not omit or add information to the original sentence.
বিশ্ব বাজারেরসঙ্গে আমরা কি যুক্ত করতে পারি না ভারতের কৃষক সাধারণকে?
| ਉਹ ਜਗ੍ਹਾ ਜੋ ਖੇਤ ਤੋਂ ਰਸੋਈ ਤੱਕ ਅਣਗਿਣਤ ਮੌਕੇ ਮੁਹੱਈਆ ਕਰਵਾਉਂਦੀ ਹੈ। | task1025_pib_translation_bengali_punjabi | NIv2 | zs_opt | 5 | train |
A text is given in Bengali. Translate it from the Bengali language to the Panjabi language. The translation must not omit or add information to the original sentence.
Example: ভুয়ো সংস্থাগুলির ব্যাপারে ভয় দূর করতে গঠিত টাস্কফোর্স উপযুক্ত ও সমন্বয়মূলক ব্যবস্থা গ্রহণ করেছে। এই টাস্কফোর্স গঠিত হওয়ার পর থেকে আটবার বৈঠক... | Solution: ਯੋਗ ਨੂੰ ਉਤਸ਼ਾਹਿਤ ਕਰਨ ਅਤੇ ਇਸ ਦੇ ਵਿਕਾਸ ਵਿੱਚ ਯੋਗਦਾਨ ਪਾਉਣ ਲਈ 2019 ਦੇ ਪ੍ਰਧਾਨ ਮੰਤਰੀ ਪੁਰਸਕਾਰਾਂ ਦਾ ਐਲਾਨ | task1025_pib_translation_bengali_punjabi | NIv2 | fs_opt | 5 | train |
Teacher:A text is given in Bengali. Translate it from the Bengali language to the Panjabi language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? Solve this instance: স্বচ্ছ শক্তি, ২০১৯ একটি জাতীয় স্তরের অনুষ্ঠান, যার লক্ষ্য স্বচ্ছ ভারত অভিযানে রূপায়ণ... | ਪ੍ਰਧਾਨ ਮੰਤਰੀ ਕੱਲ੍ਹ ਕੁਰੂਕਸ਼ੇਤਰ ਤੋਂ ਸਵੱਛ ਸ਼ਕਤੀ 2019 ਲਾਂਚ ਕਰਨਗੇ, ਦੇਸ਼ ਭਰ ਦੀਆਂ ਮਹਿਲਾ ਸਰਪੰਚਾਂ ਨੂੰ ਸਨਮਾਨਿਤ ਕੀਤਾ ਜਾਵੇਗਾ | task1025_pib_translation_bengali_punjabi | NIv2 | zs_opt | 6 | train |
TASK DEFINITION: A text is given in Bengali. Translate it from the Bengali language to the Panjabi language. The translation must not omit or add information to the original sentence.
PROBLEM: ‘দ্য রাইট টু ইনফরমেশন (অ্যামেন্ডমেন্ট) বিল, ২০১৮ রাজ্যসভাতে পেশ করা এবং সংসদের চলতি অধিবেশনেই তা অনুমোদনের জন্য দেওয়া হয়েছে।
... | ਵੱਡੇ ਇਕੱਠ ਨੂੰ ਸੰਬੋਧਨ ਕਰਦਿਆਂ ਉਨ੍ਹਾਂ ਨੇ ਹਿਮਾਚਲ ਪ੍ਰਦੇਸ਼ ਦੀ ਸ਼ਲਾਘਾ ਕੀਤੀ ਜੋ ਅਧਿਆਤਮਿਕਤਾ ਅਤੇ ਬਹਾਦਰੀ ਦੀ ਧਰਤੀ ਹੈ।
| task1025_pib_translation_bengali_punjabi | NIv2 | fs_opt | 8 | train |
A text is given in Bengali. Translate it from the Bengali language to the Panjabi language. The translation must not omit or add information to the original sentence.
‘প্রগতি’র মঞ্চে প্রধানমন্ত্রী শ্রী নরেন্দ্র মোদী আজ তাঁর ২১তম বৈঠকে স্বত্বাধিকার ও টেডমার্ক সম্পর্কিত ক্ষোভ ও অভিযোগগুলির নিরসনে গৃহীত ব্যবস্থার অগ্রগতি... | ਪ੍ਰਧਾਨ ਮੰਤਰੀ, ਸ਼੍ਰੀ ਨਰੇਂਦਰ ਮੋਦੀ ਨੇ ਅੱਜ ਪ੍ਰੋ-ਐਕਟਿਵ ਗਵਰਨੈਂਸ ਅਤੇ ਸਮੇਂ ਸਿਰ ਲਾਗੂ ਕਰਨ ਦੇ ਆਈਸੀਟੀ-ਅਧਾਰਤ, ਮਲਟੀ ਮੋਡਲ ਮੰਚ ਪ੍ਰਗਤੀ (PRAGATI-Pro-Active Governance and Timely Implementation) ਜ਼ਰੀਏ ਆਪਣੀ 21ਵੀਂ ਗੱਲਬਾਤ ਦੀ ਪ੍ਰਧਾਨਗੀ ਕੀਤੀ। | task1025_pib_translation_bengali_punjabi | NIv2 | zs_opt | 0 | train |
Detailed Instructions: A text is given in Bengali. Translate it from the Bengali language to the Panjabi language. The translation must not omit or add information to the original sentence.
Problem:দক্ষিণ আফ্রিকার রাষ্ট্রপতি শ্রী সিরিল রামাফোসা,
Solution: | ਦੱਖਣ ਅਫ਼ਰੀਕਾ ਦੇ ਰਾਸ਼ਟਰਪਤੀ, | task1025_pib_translation_bengali_punjabi | NIv2 | zs_opt | 8 | train |
Detailed Instructions: A text is given in Bengali. Translate it from the Bengali language to the Panjabi language. The translation must not omit or add information to the original sentence.
Q: রাষ্ট্রপতি জেলেনস্কি প্রধানমন্ত্রীকে সাম্প্রতিক নির্বাচনে বিপুল বিজয়ের মাধ্যমে দ্বিতীয়বার ক্ষমতা গ্রহণের জন্য অভিনন্দন জানিয়... | ਰਾਸ਼ਟਰਪਤੀ ਜ਼ੈਲੈਂਸਕੀ ਨੇ ਵੀ ਵਿਆਪਕ ਜਨਾਦੇਸ਼ ਦੇ ਨਾਲ ਦੂਜੇ ਕਾਰਜਕਾਲ ਲਈ ਚਾਰਜ ਸੰਭਾਲਣ 'ਤੇ ਪ੍ਰਧਾਨ ਮੰਤਰੀ ਨੂੰ ਵਧਾਈਆਂ ਦਿੱਤੀਆਂ। | task1025_pib_translation_bengali_punjabi | NIv2 | zs_opt | 9 | test |
Given the task definition and input, reply with output. A text is given in Bengali. Translate it from the Bengali language to the Panjabi language. The translation must not omit or add information to the original sentence.
কারণ আমাদের পরিকাঠামোর উন্নয়ন চাই, কর্মসংস্থান চাই এবং মাথাপিছু রোজগারও বৃদ্ধি করতে হবে।
| Ease of Doing Business ਦੇ ਮਾਮਲੇ ਵਿੱਚ ਅਸੀਂ 142ਵੇਂ ਰੈਂਕ ਤੋਂ ਹੁਣ 77ਵੇਂ ਰੈਂਕ ‘ਤੇ ਆ ਗਏ ਹਾਂ । ਕਰੀਬ - ਕਰੀਬ ਅੱਧਾ ਪਾਰ ਕਰ ਲਿਆ । | task1025_pib_translation_bengali_punjabi | NIv2 | zs_opt | 5 | validation |
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