source stringlengths 17 501k | target stringlengths 0 8.23k | task_name stringlengths 8 85 | task_source stringclasses 4
values | template_type stringclasses 4
values | template_idx int64 0 17 | split stringclasses 3
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Instructions: 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 enti... | None | task1546_conll2002_location_name_extraction_answer_generation | NIv2 | zs_opt | 3 | train |
Instructions: 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 enti... | None | task1546_conll2002_location_name_extraction_answer_generation | NIv2 | zs_opt | 3 | train |
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... | None
| task1546_conll2002_location_name_extraction_answer_generation | NIv2 | fs_opt | 7 | train |
Teacher: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, th... | None | task1546_conll2002_location_name_extraction_answer_generation | NIv2 | zs_opt | 6 | train |
Q: 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 re... | None | task1546_conll2002_location_name_extraction_answer_generation | NIv2 | zs_opt | 7 | train |
TASK DEFINITION: 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 e... | None
| task1546_conll2002_location_name_extraction_answer_generation | NIv2 | fs_opt | 8 | train |
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... | Azië: B-LOC
| task1546_conll2002_location_name_extraction_answer_generation | NIv2 | fs_opt | 6 | train |
Detailed Instructions: 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 ... | None | task1546_conll2002_location_name_extraction_answer_generation | NIv2 | zs_opt | 9 | train |
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... | None | task1546_conll2002_location_name_extraction_answer_generation | NIv2 | fs_opt | 8 | test |
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... | None | task1546_conll2002_location_name_extraction_answer_generation | NIv2 | fs_opt | 6 | validation |
In this task you are given a tweet. You must judge whether the author of the tweet is angry or not. Label the instances as "Angry" or "Not angry" based on your judgment.
Q: “He who is slow to anger is better than the mighty, And he who rules his spirit than he who takes a city.”\nP16:32 #bibleverse #pride
A: | Not angry | task397_semeval_2018_task1_tweet_anger_detection | NIv2 | zs_opt | 4 | train |
Detailed Instructions: In this task you are given a tweet. You must judge whether the author of the tweet is angry or not. Label the instances as "Angry" or "Not angry" based on your judgment.
See one example below:
Problem: #CNN really needs to get out of the #Propaganda Business.. 30 seconds on USN fallen Soldiers tr... | Angry | task397_semeval_2018_task1_tweet_anger_detection | NIv2 | fs_opt | 4 | train |
In this task you are given a tweet. You must judge whether the author of the tweet is angry or not. Label the instances as "Angry" or "Not angry" based on your judgment.
Example input: #CNN really needs to get out of the #Propaganda Business.. 30 seconds on USN fallen Soldiers tragedy. Right back at spewing #hatred #P... | Not angry | task397_semeval_2018_task1_tweet_anger_detection | NIv2 | fs_opt | 3 | train |
You will be given a definition of a task first, then some input of the task.
In this task you are given a tweet. You must judge whether the author of the tweet is angry or not. Label the instances as "Angry" or "Not angry" based on your judgment.
#RepChrisCollins 🎃 #spins #excuses for #hatred #racism Everyone in #Ame... | Angry | task397_semeval_2018_task1_tweet_anger_detection | NIv2 | zs_opt | 1 | train |
Teacher:In this task you are given a tweet. You must judge whether the author of the tweet is angry or not. Label the instances as "Angry" or "Not angry" based on your judgment.
Teacher: Now, understand the problem? Solve this instance: Nothing joyful has happened to me. My grief and hatred just keep increasing!
Studen... | Angry | task397_semeval_2018_task1_tweet_anger_detection | NIv2 | zs_opt | 6 | train |
TASK DEFINITION: In this task you are given a tweet. You must judge whether the author of the tweet is angry or not. Label the instances as "Angry" or "Not angry" based on your judgment.
PROBLEM: Okay you've annoyed me, you haven't done a good job there at all. #furious
SOLUTION: Angry
PROBLEM: @Lizombi There's a dif... | Angry
| task397_semeval_2018_task1_tweet_anger_detection | NIv2 | fs_opt | 8 | train |
In this task you are given a tweet. You must judge whether the author of the tweet is angry or not. Label the instances as "Angry" or "Not angry" based on your judgment.
[EX Q]: hitting your children as discipline because you're being quite a raging hypocrite if you're not.
[EX A]: Angry
[EX Q]: Especially when it co... | Angry
| task397_semeval_2018_task1_tweet_anger_detection | NIv2 | fs_opt | 6 | train |
Teacher: In this task you are given a tweet. You must judge whether the author of the tweet is angry or not. Label the instances as "Angry" or "Not angry" based on your judgment.
Teacher: Now, understand the problem? If you are still confused, see the following example:
#CNN really needs to get out of the #Propaganda B... | Angry | task397_semeval_2018_task1_tweet_anger_detection | NIv2 | fs_opt | 2 | train |
In this task you are given a tweet. You must judge whether the author of the tweet is angry or not. Label the instances as "Angry" or "Not angry" based on your judgment.
One example: #CNN really needs to get out of the #Propaganda Business.. 30 seconds on USN fallen Soldiers tragedy. Right back at spewing #hatred #POTU... | Not angry | task397_semeval_2018_task1_tweet_anger_detection | NIv2 | fs_opt | 6 | test |
In this task you are given a tweet. You must judge whether the author of the tweet is angry or not. Label the instances as "Angry" or "Not angry" based on your judgment.
--------
Question: @psychoticdream1 @CNN Wow, there is at least 1 person who still watches CNN. 🙄 have a nice day! Clearly ur still pissed u lost 😂
... | Angry
| task397_semeval_2018_task1_tweet_anger_detection | NIv2 | fs_opt | 7 | validation |
Teacher:A text is given in Gujarati. Translate it from the Gujarati language to the Oriya language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? Solve this instance: ଷ୍ଟାର୍ଟ-ଅପରେ ସହାୟତା କରିବା ଏବଂ ଏଗୁଡ଼ିକୁ ପ୍ରୋତ୍ସାହିତ କରିବା ପାଇଁ ଭାରତ ସରକାର ନୀତି ସ୍ଥିର କର... | છાપેલી સામગ્રીઓ, ફિલ્મો, અનુભવો, સંશોધનોતથા અન્ય માહિતીની આપ-લે યુવા શિબિર, યુવા મહોત્સવ તથા અન્ય યુવાનોને લગતા કાર્યક્રમોમાં ભાગ લેવો, અભ્યાસ માટે પ્રવાસ, યુવાનોને લગતી બાબતો માટે નાના વર્કશોપ અને સેમિનારમાં ભાગીદારી. | task1078_pib_translation_oriya_gujarati | NIv2 | zs_opt | 6 | train |
A text is given in Gujarati. Translate it from the Gujarati language to the Oriya language. The translation must not omit or add information to the original sentence.
ସବୁ ପକ୍ଷଠାରୁ ଆମକୁ ମହାନ୍ ବିଚାରଧାରା ଆସିବା ଉଚିତ୍ ।
વર્ષોના સમયગાળા દરમિયાન વિશ્વએ ઑરોવિલે પાસેથી અનેક સ્વરૂપોમાં હકારાત્મક ઉર્જા પ્રાપ્ત કરી છે.
ଗରିବ ଏବଂ ... | તેઓ રાંચી જતા રહ્યા.
| task1078_pib_translation_oriya_gujarati | NIv2 | fs_opt | 0 | train |
A text is given in Gujarati. Translate it from the Gujarati language to the Oriya language. The translation must not omit or add information to the original sentence.
One example is below.
Q: ଏହି ବୁଝାମଣାପତ୍ରର ଉଦ୍ଦେଶ୍ୟ ନିରନ୍ତର ସହର ବିକାଶ କ୍ଷେତ୍ରରେ ଭାରତ ଏବଂ ବ୍ରିଟେନ ମଧ୍ୟରେ ସଂସ୍ଥାଗତ ସହଯୋଗ ଉପଲବ୍ଧ କରାଇବା ଏବଂ ଏହାକୁ ସୁଦୃଢ଼ କରିବ... | એક વાત તો નક્કી છે કે કોઈ એવી જગ્યા છે, જ્યાં કોઈ પણ ગરીબ આવે, કોઈ ભૂખ્યો આવે, તો ખાવાનું મળી જાય છે. | task1078_pib_translation_oriya_gujarati | NIv2 | fs_opt | 9 | train |
Detailed Instructions: A text is given in Gujarati. Translate it from the Gujarati language to the Oriya language. The translation must not omit or add information to the original sentence.
See one example below:
Problem: ଏହି ବୁଝାମଣାପତ୍ରର ଉଦ୍ଦେଶ୍ୟ ନିରନ୍ତର ସହର ବିକାଶ କ୍ଷେତ୍ରରେ ଭାରତ ଏବଂ ବ୍ରିଟେନ ମଧ୍ୟରେ ସଂସ୍ଥାଗତ ସହଯୋଗ ଉପଲବ୍... | પ્રધાનમંત્રીએ શ્રી નરેન્દ્ર મોદીની અધ્યક્ષતામાં મંત્રીમંડળે (i) રહેઠાણ અને ટેલીફોન સુવિધાઓ (સાંસદ) નિયમ, 156 (ii) સાંસદ (ચૂંટણી ક્ષેત્રને ભથ્થા) નિયમ, 186 અને (iii) સાંસદ (કાર્યકાળ ખર્ચ ભથ્થા) નિયમ, 188માં સંશોધનને મંજૂરી આપી હતી. જેની વિગત આ મુજબ છેઃ | task1078_pib_translation_oriya_gujarati | NIv2 | fs_opt | 4 | train |
You will be given a definition of a task first, then some input of the task.
A text is given in Gujarati. Translate it from the Gujarati language to the Oriya language. The translation must not omit or add information to the original sentence.
48 ଜଣ ପାଇବେ ଜୀବନ ରକ୍ଷା ପଦକ ପୁରସ୍କାର
Output: | પ્રધાનમંત્રીએ કહ્યું કે, રાષ્ટ્રીય મતદાર દિવસ નિમિત્તે શુભેચ્છા. | task1078_pib_translation_oriya_gujarati | NIv2 | zs_opt | 1 | train |
A text is given in Gujarati. Translate it from the Gujarati language to the Oriya language. The translation must not omit or add information to the original sentence.
Ex Input:
ବିଶ୍ୱରେ ଆମ କୃଷକମାନଙ୍କ ଦ୍ୱାରା ଉତ୍ପାଦିତ ସାମଗ୍ରୀ ପ୍ରସିଦ୍ଧ ହେଉ । ଏହି ସ୍ୱପ୍ନକୁ ନେଇ ଆମେ ଚାଲିବାକୁ ଚାହୁଁଛୁ । ଆମ ଦେଶରୁ ରପ୍ତାନି ବୃଦ୍ଧି କରିବାକୁ ହେବ, ଆମେ ... | એજ રીતે નારણપુરા, સાબરમતી વિભાનસભા મતદાર વિભાગ માટે શ્રી હરેન્દ્રસિંઘ (૯૪૧૨૨ ૪૧૧૨૨) નિરીક્ષક તરીકે અને શ્રી તેજસ પટેલ લાયઝન અધિકારી તરીકે કામ કરશે એમ યાદીમાં જણાવાયું છે.
| task1078_pib_translation_oriya_gujarati | NIv2 | fs_opt | 1 | train |
Detailed Instructions: A text is given in Gujarati. Translate it from the Gujarati language to the Oriya language. The translation must not omit or add information to the original sentence.
See one example below:
Problem: ଏହି ବୁଝାମଣାପତ୍ରର ଉଦ୍ଦେଶ୍ୟ ନିରନ୍ତର ସହର ବିକାଶ କ୍ଷେତ୍ରରେ ଭାରତ ଏବଂ ବ୍ରିଟେନ ମଧ୍ୟରେ ସଂସ୍ଥାଗତ ସହଯୋଗ ଉପଲବ୍... | આ માટે હું મ્યાનમાર સરકારનો આભારી છું. | task1078_pib_translation_oriya_gujarati | NIv2 | fs_opt | 4 | train |
Detailed Instructions: A text is given in Gujarati. Translate it from the Gujarati language to the Oriya language. The translation must not omit or add information to the original sentence.
See one example below:
Problem: ଏହି ବୁଝାମଣାପତ୍ରର ଉଦ୍ଦେଶ୍ୟ ନିରନ୍ତର ସହର ବିକାଶ କ୍ଷେତ୍ରରେ ଭାରତ ଏବଂ ବ୍ରିଟେନ ମଧ୍ୟରେ ସଂସ୍ଥାଗତ ସହଯୋଗ ଉପଲବ୍... | એડજુકેટરી બોર્ડનાં મુખ્ય અધિકારી અને સભ્યોની નિમણૂક પસંદગી સમિતિની ભલામણો પર કેન્દ્ર સરકાર દ્વારા કરવામાં આવે છે. | task1078_pib_translation_oriya_gujarati | NIv2 | fs_opt | 4 | train |
A text is given in Gujarati. Translate it from the Gujarati language to the Oriya language. The translation must not omit or add information to the original sentence.
Example input: ଏହି ବୁଝାମଣାପତ୍ରର ଉଦ୍ଦେଶ୍ୟ ନିରନ୍ତର ସହର ବିକାଶ କ୍ଷେତ୍ରରେ ଭାରତ ଏବଂ ବ୍ରିଟେନ ମଧ୍ୟରେ ସଂସ୍ଥାଗତ ସହଯୋଗ ଉପଲବ୍ଧ କରାଇବା ଏବଂ ଏହାକୁ ସୁଦୃଢ଼ କରିବା । ସହଯୋଗ... | ઉત્તર પૂર્વ વિસ્તારમાં છેલ્લે કેન્દ્રિય ક્ષેત્રનો છેલ્લો મોટો જળવિદ્યુત પ્રોજેક્ટ કોપિલી સ્ટેજ-2, 13 વર્ષ અગાઉ પૂર્ણ થયો હતો. | task1078_pib_translation_oriya_gujarati | NIv2 | fs_opt | 3 | test |
A text is given in Gujarati. Translate it from the Gujarati language to the Oriya language. The translation must not omit or add information to the original sentence.
ଆଜି ସାରା ବିଶ୍ୱରେ ଶିଶୁ ନିର୍ଯାତନା ଘଟଣା ଘଟୁଥିବା ଶୁଣିବାକୁ ମିଳୁଛି । ଭାରତ ମଧ୍ୟ ଆମର ଛୋଟ ଛୋଟ ବାଳକମାନଙ୍କୁ ଅସହାୟ ଛାଡ଼ିପାରିବ ନାହିଁ । ସେହି ବାଳକମାନଙ୍କ ସୁରକ୍ଷା ଲାଗି କ... | આપણા ખેડૂત ભાઈ-બહેન, આપણા નાનાં વેપારી ભાઈ-બહેન, તેમણે ક્યારેય વિચાર્યું નહોતું કે તેમના જીવનમાં પણ પેન્શનની વ્યવસ્થા થઈ શકે છે. સાઇઠ વર્ષની ઉંમર પછી તેઓ પણ સમ્માન સાથે જીવી શકે છે. | task1078_pib_translation_oriya_gujarati | NIv2 | zs_opt | 0 | validation |
In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into four classes: Religious, Political, Geopolitical and Persona... | Personal
| task1494_bengali_hate_speech_classification | NIv2 | fs_opt | 0 | train |
In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into four classes: Religious, Political, Geopolitical and Persona... | Output: Geopolitical
| task1494_bengali_hate_speech_classification | NIv2 | fs_opt | 2 | train |
In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into four classes: Religious, Political, Geopolitical and Persona... | Geopolitical
| task1494_bengali_hate_speech_classification | NIv2 | fs_opt | 6 | train |
instruction:
In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into four classes: Religious, Political, Geopolitica... | Religious
| task1494_bengali_hate_speech_classification | NIv2 | fs_opt | 9 | train |
Detailed Instructions: In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into four classes: Religious, Political, G... | Personal | task1494_bengali_hate_speech_classification | NIv2 | zs_opt | 9 | train |
Teacher:In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into four classes: Religious, Political, Geopolitical and... | Geopolitical | task1494_bengali_hate_speech_classification | NIv2 | zs_opt | 6 | train |
Instructions: In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into four classes: Religious, Political, Geopolitic... | Religious | task1494_bengali_hate_speech_classification | NIv2 | zs_opt | 3 | train |
instruction:
In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into four classes: Religious, Political, Geopolitica... | Personal
| task1494_bengali_hate_speech_classification | NIv2 | fs_opt | 9 | train |
In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into four classes: Religious, Political, Geopolitical and Persona... | Religious | task1494_bengali_hate_speech_classification | NIv2 | zs_opt | 4 | test |
In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into four classes: Religious, Political, Geopolitical and Persona... | Religious | task1494_bengali_hate_speech_classification | NIv2 | zs_opt | 4 | validation |
Answer the following question: You are given a new situation: Two friends had a discussion about the Earth and what this reality might be. Tim believed in the Gaia hypothesis, while Olly believed in the Panspermia theory. and a hint : The Gaia hypothesis states that the biosphere is its own living organism. The hypo... | Tim | ropes_background_situation_middle | P3 | zs_noopt | 5 | train |
Given the question: You are given a new situation: Sam lived in Chicago for many years and experienced those high humidity days during the summer, the Indian summers in October and harsh and humid winters, so he decided to move to San Diego, in a warmer and much dryer climate. and a hint : If all the other factors inf... | San Diego | ropes_background_situation_middle | P3 | zs_opt | 6 | train |
Problem: Given the question: You are given a new situation: Kathy and Jacob are two coworkers out having a drink at a bar after a day at the office. They both wear glasses and Kathy comments that she hates that she is so farsighted and wishes there was a surgery to fix it. Jacob says that he finds it amusing she is far... | Brown | ropes_background_situation_middle | P3 | fs_opt | 8 | train |
input question: You are given a new situation: Two medical school students named Dan and Bob learned about the human immune system. Dan studied more about the subject, and became very interested to pursue it more in the future. and a hint : The body's second line of defense against pathogens includes the inflammatory ... | Ghana | ropes_background_situation_middle | P3 | fs_opt | 9 | train |
Given the question: You are given a new situation: Stef is a young girl interested in the geography of the world. For her birthday, she got two different representations of the Earth. Her grandparents gave her a map that uses the Mercator projection and her uncle gave her a globe. She is comparing how certain countries... | map | ropes_background_situation_middle | P3 | zs_opt | 6 | train |
You are given a new situation: Two brothers were land owners. Bill owned 40 acres of forest, , with very well developed soil. His brother Rick owned 40 acres of grasslands, with a poor soil. Rick decided to sell his land. and a hint : Soil is well developed in the forest as suggested by the thick humus layers, rich d... | Bill | ropes_background_situation_middle | P3 | zs_opt | 2 | train |
input question: You are given a new situation: Two dairy farms were supplying milk and other milk products to the surrounding counties. Sunny farm practiced organic farming and produced organic milk, while Cloud farm was into conventional milk production. and a hint : Compared to conventional milk production, organic ... | Iraq | ropes_background_situation_middle | P3 | fs_opt | 9 | train |
You are given a new situation: Los Angeles receives a steady year-long supply of high amounts of sunlight and wind. Because of this, Los Angeles is able to power many of its buildings and factories using renewable resources. Las Vegas, however, receives barely any sunlight or wind throughout the entire year. As a resul... | Las Vegas | ropes_background_situation_middle | P3 | zs_opt | 1 | train |
You are given a new situation: Two brothers loved geology. Bob studied sedimentary rocks while Dan studied about earthquakes and their location. and a hint : Almost all earthquakes occur at plate boundaries. All types of plate boundaries have earthquakes. Convection within the Earth causes the plates to move. As the p... | Ans: Jesse | ropes_background_situation_middle | P3 | fs_opt | 0 | test |
Problem: Given the question: You are given a new situation: The Berg mountains in Berg county are of a volcanic nature, very massive, few caves. The Gorge mountains in Gorge county are made of sedimentary rocks, predominantly limestone. They were exposed to water and that lead to karst lanscapes, caves, blue holes, sta... | Niger | ropes_background_situation_middle | P3 | fs_opt | 5 | validation |
Part 1. Definition
In this task, you are given a date in a particular format and you need to convert to another format. If given format is "dd/mm/yyyy" then convert to "mm/dd/yyyy". If given format is "mm/dd/yyyy" then convert to "dd/mm/yyyy".
Part 2. Example
10/05/1847, input_format=dd/mm/yyyy
Answer: 05/10/1847
Expla... | 10/12/1826 | task1404_date_conversion | NIv2 | fs_opt | 7 | train |
In this task, you are given a date in a particular format and you need to convert to another format. If given format is "dd/mm/yyyy" then convert to "mm/dd/yyyy". If given format is "mm/dd/yyyy" then convert to "dd/mm/yyyy".
16/05/1615, input_format=dd/mm/yyyy
05/16/1615
04/26/1748, input_format=mm/dd/yyyy
26/04/1748... | 25/04/1845
| task1404_date_conversion | NIv2 | fs_opt | 0 | train |
In this task, you are given a date in a particular format and you need to convert to another format. If given format is "dd/mm/yyyy" then convert to "mm/dd/yyyy". If given format is "mm/dd/yyyy" then convert to "dd/mm/yyyy".
Q: 22/12/1988, input_format=dd/mm/yyyy
A: 12/22/1988
****
Q: 02/23/1608, input_format=mm/dd/y... | 02/06/1897
****
| task1404_date_conversion | NIv2 | fs_opt | 4 | train |
Q: In this task, you are given a date in a particular format and you need to convert to another format. If given format is "dd/mm/yyyy" then convert to "mm/dd/yyyy". If given format is "mm/dd/yyyy" then convert to "dd/mm/yyyy".
20/02/1823, input_format=dd/mm/yyyy
A: | 02/20/1823 | task1404_date_conversion | NIv2 | zs_opt | 7 | train |
In this task, you are given a date in a particular format and you need to convert to another format. If given format is "dd/mm/yyyy" then convert to "mm/dd/yyyy". If given format is "mm/dd/yyyy" then convert to "dd/mm/yyyy".
--------
Question: 10/02/2010, input_format=mm/dd/yyyy
Answer: 02/10/2010
Question: 30/01/17... | 04/08/1628
| task1404_date_conversion | NIv2 | fs_opt | 7 | train |
instruction:
In this task, you are given a date in a particular format and you need to convert to another format. If given format is "dd/mm/yyyy" then convert to "mm/dd/yyyy". If given format is "mm/dd/yyyy" then convert to "dd/mm/yyyy".
question:
21/05/1917, input_format=dd/mm/yyyy
answer:
05/21/1917
question:
10/01... | 12/01/1680
| task1404_date_conversion | NIv2 | fs_opt | 9 | train |
Given the task definition and input, reply with output. In this task, you are given a date in a particular format and you need to convert to another format. If given format is "dd/mm/yyyy" then convert to "mm/dd/yyyy". If given format is "mm/dd/yyyy" then convert to "dd/mm/yyyy".
11/15/1747, input_format=mm/dd/yyyy
| 15/11/1747 | task1404_date_conversion | NIv2 | zs_opt | 5 | train |
In this task, you are given a date in a particular format and you need to convert to another format. If given format is "dd/mm/yyyy" then convert to "mm/dd/yyyy". If given format is "mm/dd/yyyy" then convert to "dd/mm/yyyy".
Let me give you an example: 10/05/1847, input_format=dd/mm/yyyy
The answer to this example can... | 23/12/1661 | task1404_date_conversion | NIv2 | fs_opt | 8 | train |
In this task, you are given a date in a particular format and you need to convert to another format. If given format is "dd/mm/yyyy" then convert to "mm/dd/yyyy". If given format is "mm/dd/yyyy" then convert to "dd/mm/yyyy".
--------
Question: 05/08/1993, input_format=mm/dd/yyyy
Answer: 08/05/1993
Question: 02/07/16... | 08/05/1993
| task1404_date_conversion | NIv2 | fs_opt | 7 | test |
Part 1. Definition
In this task, you are given a date in a particular format and you need to convert to another format. If given format is "dd/mm/yyyy" then convert to "mm/dd/yyyy". If given format is "mm/dd/yyyy" then convert to "dd/mm/yyyy".
Part 2. Example
10/05/1847, input_format=dd/mm/yyyy
Answer: 05/10/1847
Expla... | 26/06/1865 | task1404_date_conversion | NIv2 | fs_opt | 7 | validation |
Detailed Instructions: Generate an explanation for the given claim using the provided supporting material from the paragraph. Please consider the following points while generating an output. 1) The claim will always have supporting proof in the paragraph, and the paragraph will have a clear point of view supporting the... | This story reports on the increasingly popular–but largely untested–so-called “bioidentical” or “compounded” hormones. This well-balanced piece balances opinion with fact, quoting leading researchers, clinicians in private practice, the American College of Obstetricians & Gynecologists, and a Wyeth spokeswoman to demon... | task1369_healthfact_sentence_generation | NIv2 | zs_opt | 8 | train |
Generate an explanation for the given claim using the provided supporting material from the paragraph. Please consider the following points while generating an output. 1) The claim will always have supporting proof in the paragraph, and the paragraph will have a clear point of view supporting the claim. 2) There can be... | An eighth Princeton University student has been diagnosed with meningitis, a potentially fatal infection that causes swelling of the brain and spinal cord, a university spokesman said on Friday. | task1369_healthfact_sentence_generation | NIv2 | zs_opt | 4 | train |
Detailed Instructions: Generate an explanation for the given claim using the provided supporting material from the paragraph. Please consider the following points while generating an output. 1) The claim will always have supporting proof in the paragraph, and the paragraph will have a clear point of view supporting the... | "Kay said, ""There are countries in Africa where they have higher vaccination rates than here in the United States."" We found ample evidence to back up her point, with several African countries boasting better vaccination rates than the United States. Mauritius, Tanzania and Morocco have nearly complete vaccination of... | task1369_healthfact_sentence_generation | NIv2 | zs_opt | 9 | train |
Teacher:Generate an explanation for the given claim using the provided supporting material from the paragraph. Please consider the following points while generating an output. 1) The claim will always have supporting proof in the paragraph, and the paragraph will have a clear point of view supporting the claim. 2) Ther... | The common cold is just that, common, and there is currently no cure. Treatments focus on reducing symptoms, but do not change the course of the infection. Prevention efforts focus on hand hygiene to reduce transmission. Large doses of vitamin C, echinacea and, more recently, zinc, have become increasingly popular judg... | task1369_healthfact_sentence_generation | NIv2 | zs_opt | 6 | train |
Generate an explanation for the given claim using the provided supporting material from the paragraph. Please consider the following points while generating an output. 1) The claim will always have supporting proof in the paragraph, and the paragraph will have a clear point of view supporting the claim. 2) There can be... | Scientists in China studying the outbreak of disease caused by the new coronavirus say they have found that two main strains of the virus are circulating in humans and causing infections. | task1369_healthfact_sentence_generation | NIv2 | zs_opt | 4 | train |
Generate an explanation for the given claim using the provided supporting material from the paragraph. Please consider the following points while generating an output. 1) The claim will always have supporting proof in the paragraph, and the paragraph will have a clear point of view supporting the claim. 2) There can be... | Are Hackers Using Fake ‘Coronavirus Maps’ to Import Malware?
| task1369_healthfact_sentence_generation | NIv2 | fs_opt | 7 | train |
Generate an explanation for the given claim using the provided supporting material from the paragraph. Please consider the following points while generating an output. 1) The claim will always have supporting proof in the paragraph, and the paragraph will have a clear point of view supporting the claim. 2) There can be... | People turning 50 may want to consider tweaking their exercise routines because as they age stiffer joints, slower recovery from injury and the loss of lean body mass are among the perils facing the youngest baby boomers, fitness experts say.
| task1369_healthfact_sentence_generation | NIv2 | fs_opt | 6 | train |
Definition: Generate an explanation for the given claim using the provided supporting material from the paragraph. Please consider the following points while generating an output. 1) The claim will always have supporting proof in the paragraph, and the paragraph will have a clear point of view supporting the claim. 2) ... | This story covered the announcement of “positive” early results for an experimental Alzheimer’s drug called BAN2401, an antibody that attacks beta-amyloid clumps, and which appeared to trigger a surge in the stock prices of two companies developing the drug. The story did an exemplary job of tempering positive spin fro... | task1369_healthfact_sentence_generation | NIv2 | zs_opt | 2 | train |
Part 1. Definition
Generate an explanation for the given claim using the provided supporting material from the paragraph. Please consider the following points while generating an output. 1) The claim will always have supporting proof in the paragraph, and the paragraph will have a clear point of view supporting the cla... | Sales of prescription drugs in the United States grew by just 3.8 percent in 2007, marking the lowest growth rate since 1961, according to data compiled by IMS Health. | task1369_healthfact_sentence_generation | NIv2 | fs_opt | 7 | test |
Generate an explanation for the given claim using the provided supporting material from the paragraph. Please consider the following points while generating an output. 1) The claim will always have supporting proof in the paragraph, and the paragraph will have a clear point of view supporting the claim. 2) There can be... | This story of a clinical trial of a generations-old cough and congestion remedy hits almost all the key points that we would expect of a report on even the most aggressive intervention for a life-threatening condition. Where it falls short is in describing the differences in symptom improvement reported by the groups g... | task1369_healthfact_sentence_generation | NIv2 | zs_opt | 4 | validation |
Part 1. Definition
In this task, you are given a sentence in Spanish and your task is to translate it into English. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
Part 2. Example
Está, sin duda, dentro de la línea de las posiciones que nuestro Parlamento ... | The main merit of the text of this communication is therefore the fact that it exists. | task531_europarl_es_en_translation | NIv2 | fs_opt | 7 | train |
In this task, you are given a sentence in Spanish and your task is to translate it into English. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
[Q]: Algunos han dicho que debemos aceptar los resultados de las elecciones democráticas.
[A]: Some have said ... | Particular attention is also paid to the dissemination of results and learning from each other by identifying best practice, with special emphasis on mainstreaming.
| task531_europarl_es_en_translation | NIv2 | fs_opt | 5 | train |
In this task, you are given a sentence in Spanish and your task is to translate it into English. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
Ex Input:
Por ello, es necesaria una política de derechos humanos plena para y de la Unión Europea, una políti... | The reasons for adjustments are, for example, to improve employment, reduce social security expenditure, but are also due to policy competition and EMU criteria.
| task531_europarl_es_en_translation | NIv2 | fs_opt | 1 | train |
In this task, you are given a sentence in Spanish and your task is to translate it into English. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
--------
Question: Ha dicho que debemos ofrecer a nuestros ciudadanos y ciudadanas un modelo de desarrollo econ... | The Rules of Procedure do not shed any more light on the matter and that is exactly why this back burner is extremely useful.
| task531_europarl_es_en_translation | NIv2 | fs_opt | 7 | train |
Given the task definition and input, reply with output. In this task, you are given a sentence in Spanish and your task is to translate it into English. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
¿Va a permitir esta Cámara que los informes difamatori... | Is this House going to let its agenda be determined by scurrilous reports on a programme which bases its news items on lies, or is it going to get down to serious work and address the challenges facing Europe? | task531_europarl_es_en_translation | NIv2 | zs_opt | 5 | train |
Teacher:In this task, you are given a sentence in Spanish and your task is to translate it into English. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
Teacher: Now, understand the problem? Solve this instance: Algunos de los defensores y agentes de cambi... | Some of the most active and committed proponents and agents of change in our urban areas are local residents. | task531_europarl_es_en_translation | NIv2 | zs_opt | 6 | train |
Teacher:In this task, you are given a sentence in Spanish and your task is to translate it into English. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
Teacher: Now, understand the problem? Solve this instance: Con respecto a la Conferencia Gubernamental,... | In connection with the Intergovernmental Conference, Mr Barnier said, during his presentation in Parliament, that social policy was not to be subject to majority decision-making but, when I look at page 63, I see that rights of travel and of residence - that is to say, the Residence Directives - ,combating discriminati... | task531_europarl_es_en_translation | NIv2 | zs_opt | 6 | train |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence in Spanish and your task is to translate it into English. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
Estoy segura de que no se arrepen... | I am certain that it will not be disappointed, having given us its support, and I personally undertake to keep Parliament informed, as things progress, of the various phases of the implementation of our measures and the measures of our citizens, which I hope will be great measures for the future of the Union. | task531_europarl_es_en_translation | NIv2 | zs_opt | 1 | train |
In this task, you are given a sentence in Spanish and your task is to translate it into English. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
Example Input: El tema se ha planteado conforme al procedimiento de codecisión y en la primera lectura ya hemo... | I am thinking of transport policy and regional policy.
| task531_europarl_es_en_translation | NIv2 | fs_opt | 3 | test |
Given the task definition and input, reply with output. In this task, you are given a sentence in Spanish and your task is to translate it into English. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
Una regulación consecuente del uso de aditivos en la a... | By regulating additives in feedingstuffs consistently, we can help significantly to restore confidence. | task531_europarl_es_en_translation | NIv2 | zs_opt | 5 | validation |
Detailed Instructions: In this task, you are given the abstract of a research paper. Your task is to generate a summary of this abstract. Your summary should not be very short, but it's better if it's not more than 30 words.
See one example below:
Problem: Mixed precision training (MPT) is becoming a practical techniqu... | A method for active anomaly detection. We present a new layer that can be attached to any deep learning model designed for unsupervised anomaly detection to transform it into an active method. | task668_extreme_abstract_summarization | NIv2 | fs_opt | 4 | train |
instruction:
In this task, you are given the abstract of a research paper. Your task is to generate a summary of this abstract. Your summary should not be very short, but it's better if it's not more than 30 words.
question:
Most algorithms for representation learning and link prediction in relational data have been de... | Analysing and understanding how neural network agents learn to understand simple grounded language
| task668_extreme_abstract_summarization | NIv2 | fs_opt | 9 | train |
In this task, you are given the abstract of a research paper. Your task is to generate a summary of this abstract. Your summary should not be very short, but it's better if it's not more than 30 words.
[EX Q]: Machine translation has recently achieved impressive performance thanks to recent advances in deep learning a... | We propose a regularizer that improves interpolation and autoencoders and show that it also improves the learned representation for downstream tasks.
| task668_extreme_abstract_summarization | NIv2 | fs_opt | 6 | train |
Teacher:In this task, you are given the abstract of a research paper. Your task is to generate a summary of this abstract. Your summary should not be very short, but it's better if it's not more than 30 words.
Teacher: Now, understand the problem? Solve this instance: Performing controlled experiments on noisy data is ... | We establish a benchmark of controlled real noise and reveal several interesting findings about real-world noisy data. | task668_extreme_abstract_summarization | NIv2 | zs_opt | 6 | train |
Q: In this task, you are given the abstract of a research paper. Your task is to generate a summary of this abstract. Your summary should not be very short, but it's better if it's not more than 30 words.
Deep learning has achieved astonishing results on many tasks with large amounts of data and generalization within t... | This paper introduces a physics prior for Deep Learning and applies the resulting network topology for model-based control. | task668_extreme_abstract_summarization | NIv2 | zs_opt | 7 | train |
Given the task definition and input, reply with output. In this task, you are given the abstract of a research paper. Your task is to generate a summary of this abstract. Your summary should not be very short, but it's better if it's not more than 30 words.
Recent progress on physics-based character animation has show... | Synthesizing human motions on interactive tasks using mocap data and hierarchical RL. | task668_extreme_abstract_summarization | NIv2 | zs_opt | 5 | train |
Teacher:In this task, you are given the abstract of a research paper. Your task is to generate a summary of this abstract. Your summary should not be very short, but it's better if it's not more than 30 words.
Teacher: Now, understand the problem? Solve this instance: In this paper, we propose a novel approach to impro... | We propose a novel approach to improve a given cross-surface mapping through local refinement with a new iterative method to deform the mesh in order to meet user constraints. | task668_extreme_abstract_summarization | NIv2 | zs_opt | 6 | train |
In this task, you are given the abstract of a research paper. Your task is to generate a summary of this abstract. Your summary should not be very short, but it's better if it's not more than 30 words.
[EX Q]: Artistic style transfer is the problem of synthesizing an image with content similar to a given image and sty... | We propose a study of the stability of several few-shot learning algorithms subject to variations in the hyper-parameters and optimization schemes while controlling the random seed.
| task668_extreme_abstract_summarization | NIv2 | fs_opt | 6 | train |
In this task, you are given the abstract of a research paper. Your task is to generate a summary of this abstract. Your summary should not be very short, but it's better if it's not more than 30 words.
Example: Mixed precision training (MPT) is becoming a practical technique to improve the speed and energy efficiency o... | Solution: An unbiased and low-variance gradient estimator for discrete latent variable models | task668_extreme_abstract_summarization | NIv2 | fs_opt | 5 | test |
Detailed Instructions: In this task, you are given the abstract of a research paper. Your task is to generate a summary of this abstract. Your summary should not be very short, but it's better if it's not more than 30 words.
Problem:The interplay between inter-neuronal network topology and cognition has been studied de... | Initial findings in the intersection of network neuroscience and deep learning. C. Elegans and a mouse visual cortex learn to recognize handwritten digits. | task668_extreme_abstract_summarization | NIv2 | zs_opt | 8 | validation |
Question:
Question 1: Are these two sentences grammatically correct?
Question 2: Are these sentences grammatically correct?
OPTIONS:
- no
- yes
Would the answer to these two questions be the same?
Answer:
no
Question 1: Can you drink after getting a tattoo?
Question 2: How can I get a tan tattoo?
OPTIONS:
- no
- yes
... | no | glue_qqp_2_0_0 | Flan2021 | fs_opt | 9 | train |
Problem: Do Red Rooms exist in the deep web?
How is Deep Web still operational? What are some of the most intriguing Deep Web stories?
OPTIONS:
- no
- yes
Answer: no
question: What do you think should be India' s stand after today' s URI terror attack?
What should be India’s best reply to Pakistan after uri attack?
O... | no | glue_qqp_2_0_0 | Flan2021 | fs_opt | 4 | train |
What is the best book to learn C++ for a programmer with C background?
Which are the best books to learn C++?
Do those questions have the same meaning? | yes | glue_qqp_2_0_0 | Flan2021 | zs_noopt | 1 | train |
How do I lose weight in a month?
What are the best ways to lose weight?
Are these two questions paraphrases of each other? | no | glue_qqp_2_0_0 | Flan2021 | zs_noopt | 4 | train |
How much does it cost to maintain a roller coaster?
How much does a roller coaster cost to build?
Do those questions have the same meaning? | no | glue_qqp_2_0_0 | Flan2021 | zs_noopt | 1 | train |
Question 1: Astrology : How do darakaraka different from 7th house lord?
Question 2: What happens in aquarius ascendant when the 7th house lord is in the 8th house with kethu and moon is in the 7th house?
Would the answer to these two questions be the same? | no | glue_qqp_2_0_0 | Flan2021 | zs_noopt | 7 | train |
Problem: Why do people have to dial the area code when making local calls?
How do you find out what area an area code covers?
OPTIONS:
- no
- yes
Answer: no
question: How can I get more StumbleUpon Followers?
How can I increase StumbleUpon Followers?
OPTIONS:
- no
- yes
answer: yes
Can Bernie Sanders still registe... | yes | glue_qqp_2_0_0 | Flan2021 | fs_opt | 0 | train |
How is the movie MS Dhoni untold story?
What is your opninon about MS Dhoni Movie?
Please tell me if those questions are the same.
OPTIONS:
(a). no.
(b). yes. | (b). | glue_qqp_2_0_0 | Flan2021 | zs_opt | 3 | train |
Are the following two questions the same?
What is the difference between tablets and pills?
What is the difference between a Sedative and a Sleeping pill? | no | glue_qqp_2_0_0 | Flan2021 | zs_noopt | 8 | test |
Who would win in a fight between Rocky Marciano and Muhammad Ali? Why?
Who holds the longest undefeated winning streak in boxing?
Do those questions have the same meaning?
-no;
-yes; | no | glue_qqp_2_0_0 | Flan2021 | zs_opt | 1 | validation |
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