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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 numbers 0 (entailment), 1 (neutral), or 2(cont... | 0
| task1612_sick_label_classification | NIv2 | fs_opt | 1 | train |
Definition: 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 numbers 0 (entailment), 1 (neutral... | 2 | task1612_sick_label_classification | NIv2 | zs_opt | 2 | train |
Part 1. Definition
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 numbers 0 (entailment), 1 (... | 1 | task1612_sick_label_classification | NIv2 | fs_opt | 7 | train |
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 numbers 0 (entailment), 1 (neutral), or 2(cont... | 1 | task1612_sick_label_classification | NIv2 | zs_opt | 0 | train |
Definition: 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 numbers 0 (entailment), 1 (neutral... | 1 | task1612_sick_label_classification | NIv2 | zs_opt | 2 | train |
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 numbers 0 (entailment), 1 (neutral), or 2(cont... | 1 | task1612_sick_label_classification | NIv2 | fs_opt | 6 | train |
You will be given a definition of a task first, then some input of the task.
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 ans... | 2 | task1612_sick_label_classification | NIv2 | zs_opt | 1 | train |
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 numbers 0 (entailment), 1 (neutral), or 2(cont... | 0 | task1612_sick_label_classification | NIv2 | zs_opt | 0 | train |
Definition: 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 numbers 0 (entailment), 1 (neutral... | 1 | task1612_sick_label_classification | NIv2 | zs_opt | 2 | test |
Q: 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 numbers 0 (entailment), 1 (neutral), or 2(c... | 1 | task1612_sick_label_classification | NIv2 | zs_opt | 7 | validation |
Definition: In this task, you are given a paragraph, event and an entity. The event is part of the given paragraph and it changes the state of the entity. Your task is to classify the state of the entity into three classes: 1) not exist, 2) unknown location and 3) known location. "not exist" means the entity doesn't ex... | unknown location | task1568_propara_classification | NIv2 | zs_opt | 2 | train |
Teacher: In this task, you are given a paragraph, event and an entity. The event is part of the given paragraph and it changes the state of the entity. Your task is to classify the state of the entity into three classes: 1) not exist, 2) unknown location and 3) known location. "not exist" means the entity doesn't exist... | not exist | task1568_propara_classification | NIv2 | fs_opt | 2 | train |
Detailed Instructions: In this task, you are given a paragraph, event and an entity. The event is part of the given paragraph and it changes the state of the entity. Your task is to classify the state of the entity into three classes: 1) not exist, 2) unknown location and 3) known location. "not exist" means the entity... | unknown location | task1568_propara_classification | NIv2 | zs_opt | 9 | train |
In this task, you are given a paragraph, event and an entity. The event is part of the given paragraph and it changes the state of the entity. Your task is to classify the state of the entity into three classes: 1) not exist, 2) unknown location and 3) known location. "not exist" means the entity doesn't exist in that ... | unknown location | task1568_propara_classification | NIv2 | fs_opt | 3 | train |
Definition: In this task, you are given a paragraph, event and an entity. The event is part of the given paragraph and it changes the state of the entity. Your task is to classify the state of the entity into three classes: 1) not exist, 2) unknown location and 3) known location. "not exist" means the entity doesn't ex... | not exist | task1568_propara_classification | NIv2 | zs_opt | 2 | train |
Given the task definition and input, reply with output. In this task, you are given a paragraph, event and an entity. The event is part of the given paragraph and it changes the state of the entity. Your task is to classify the state of the entity into three classes: 1) not exist, 2) unknown location and 3) known locat... | not exist | task1568_propara_classification | NIv2 | zs_opt | 5 | train |
In this task, you are given a paragraph, event and an entity. The event is part of the given paragraph and it changes the state of the entity. Your task is to classify the state of the entity into three classes: 1) not exist, 2) unknown location and 3) known location. "not exist" means the entity doesn't exist in that ... | not exist | task1568_propara_classification | NIv2 | zs_opt | 0 | train |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a paragraph, event and an entity. The event is part of the given paragraph and it changes the state of the entity. Your task is to classify the state of the entity into three classes: 1) not exist, 2) unknown locati... | known location | task1568_propara_classification | NIv2 | fs_opt | 1 | train |
In this task, you are given a paragraph, event and an entity. The event is part of the given paragraph and it changes the state of the entity. Your task is to classify the state of the entity into three classes: 1) not exist, 2) unknown location and 3) known location. "not exist" means the entity doesn't exist in that ... | unknown location | task1568_propara_classification | NIv2 | zs_opt | 4 | test |
In this task, you are given a paragraph, event and an entity. The event is part of the given paragraph and it changes the state of the entity. Your task is to classify the state of the entity into three classes: 1) not exist, 2) unknown location and 3) known location. "not exist" means the entity doesn't exist in that ... | not exist
| task1568_propara_classification | NIv2 | fs_opt | 7 | validation |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Spanish.
See one example below:
Problem: With economic growth, countries and societies enter into a virtuous cycle of upward mobility, opportunity and improved living standards.
Solution: Con el crecimiento, l... | (Aplausos) Ahora, un poco más difícil. | task1219_ted_translation_en_es | NIv2 | fs_opt | 4 | train |
Definition: You are given a sentence in English. Your job is to translate the English sentence into Spanish.
Input: Americans have so often tried to disseminate their ideas of choice, believing that they will be, or ought to be, welcomed with open hearts and minds.
Output: | Los estadounidenses han intentado muy frecuentemente de diseminar sus ideas sobre elegir, creyendo que éstas serán, o deben ser recibidas con corazones y mentes abiertos. | task1219_ted_translation_en_es | NIv2 | zs_opt | 2 | train |
You are given a sentence in English. Your job is to translate the English sentence into Spanish.
I wanted to make it bigger. | Quería ir más lejos. | task1219_ted_translation_en_es | NIv2 | zs_opt | 0 | train |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Spanish.
Q: We will get where we're going faster and society will recapture vast amounts of lost productivity now spent sitting in traffic basically polluting.
A: | Llegaremos adonde vamos más rápido y la sociedad recuperará vastas cantidades de productividad perdida hoy sentados en el tráfico básicamente contaminando. | task1219_ted_translation_en_es | NIv2 | zs_opt | 9 | train |
Definition: You are given a sentence in English. Your job is to translate the English sentence into Spanish.
Input: It's not like print. It's not like video.
Output: | No es impresión. No es video. | task1219_ted_translation_en_es | NIv2 | zs_opt | 2 | train |
instruction:
You are given a sentence in English. Your job is to translate the English sentence into Spanish.
question:
One, on average, comes from Europe.
answer:
Uno, en promedio, viene de Europa.
question:
We can share ideas with other people, and when they discover them, they share with us.
answer:
Podemos compar... | (Risas) Damas y caballeros, conozcan a sus primos.
| task1219_ted_translation_en_es | NIv2 | fs_opt | 9 | train |
You are given a sentence in English. Your job is to translate the English sentence into Spanish.
--------
Question: And so we started looking, and we said, we have to do things in a different way.
Answer: Empezamos a analizar, y dijimos, tenemos que hacer las cosas de forma diferente.
Question: The Harvard men never... | Andrew me dijo: "" ¿Y si dejamos de pensar en esto como fármacos?
| task1219_ted_translation_en_es | NIv2 | fs_opt | 7 | train |
You are given a sentence in English. Your job is to translate the English sentence into Spanish.
Q: She's got a lot of insight.
A: Ella tiene muchas ideas.
****
Q: And I heard adults of that day and time say, "That's reckless, expensive, may well fail."
A: Y oí adultos de ese día y e incluso hoy dicen: "" Eso es imp... | Es decir, como 190 millas por hora.
****
| task1219_ted_translation_en_es | NIv2 | fs_opt | 4 | train |
You are given a sentence in English. Your job is to translate the English sentence into Spanish.
Example Input: Despite the enormous influence of religion on the world today, we hold them to a different standard of scrutiny and accountability than any other sector of our society.
Example Output: A pesar de la enorme i... | Esto impidió que el sistema quede sin señal en plena noche.
| task1219_ted_translation_en_es | NIv2 | fs_opt | 3 | test |
Instructions: You are given a sentence in English. Your job is to translate the English sentence into Spanish.
Input: Now, those yellow balls have funny sticks on the end, so babies could do other things with them if they wanted to.
Output: | Las bolas amarillas tienen palos divertidos al final, así los bebés podrían hacer otras cosas con ellas si quisieran. | task1219_ted_translation_en_es | NIv2 | zs_opt | 3 | validation |
Please answer the following question: Question: What to you cause by hurting someone else? Options: - punishment - happiness - legal problems - physical pain - public outcry Explain why a human would choose "physical pain" to answer the question above:
A: | physical pain is one result of hurting someone. | cos_e_v1_11_explain_why_human | P3 | zs_opt | 8 | train |
Question: He enjoyed attending lecture, it was his favorite way of what? Options: - applaud - take notes - learning - going online - taking notes Explain why a human would choose "learning" to answer the question above:
Ans: a lecture is a method of learning
Question: On what can you relax in your bedroom other than ... | Ans: introduce | definition of introduce in english by oxford dictionaries | cos_e_v1_11_explain_why_human | P3 | fs_opt | 0 | train |
Please answer the following question: Question: If playing the saxophone wasn't enough, she also had to learn the choreographed moves on the field to perform with the what? Options: - music store - actors - store sells instruments - marching band - orchestra Explain why a human would choose "marching band" to answer t... | a marching band is a group | cos_e_v1_11_explain_why_human | P3 | zs_noopt | 8 | train |
Answer the following question: Question: If people are competing for resources what emotional state are they likely to experience? Options: - defeat - winning or losing - aggression - confusion - stress Explain why a human would choose "stress" to answer the question above:
Answer: | rivers flow trough valleys. | cos_e_v1_11_explain_why_human | P3 | zs_noopt | 5 | train |
Question: Where is a fox likely to be caught? Options: - tennessee - inside joke - grassy field - the forrest - england Explain why a human would choose "grassy field" to answer the question above:
----
Answer: in full grassy field
Q: Question: Dan thought that he was bad. But hid Queen disagreed. She knighted him... | a hall is most likely to connect different rooms. | cos_e_v1_11_explain_why_human | P3 | fs_opt | 0 | train |
Question: The weasel would go round and round the what while waiting to attack? Options: - apple tree - rabbit warren - chicken coop - mulberry bush - viking ship Explain why a human would choose "mulberry bush" to answer the question above:
The answer to this question is: | mulberry bush weasel would go round and round the what while waiting to attack | cos_e_v1_11_explain_why_human | P3 | zs_noopt | 7 | train |
input: Please answer the following: Question: He was stabbing to death his wife when he was caught, at trial he still denied the what? Options: - bleeding - imprisonment - mess - killing - give up Explain why a human would choose "killing" to answer the question above:
++++++++++
output: a trial is about a crimianl ch... | rivers flow trough valleys. | cos_e_v1_11_explain_why_human | P3 | fs_opt | 8 | train |
Question: Who do you give money to at a ticket booth? Options: - venue - movie theater - museum - train station - clerk Explain why a human would choose "clerk" to answer the question above:
| clerk | definition of clerk at dictionary.com | cos_e_v1_11_explain_why_human | P3 | zs_noopt | 0 | train |
Question: If you tend to fiddle with your shoes they are likely what? Options: - you're bored - stolen from the store - like music - uncomfortable - were bored Explain why a human would choose "uncomfortable" to answer the question above:
A: | fiddle is not to be comfortable | cos_e_v1_11_explain_why_human | P3 | zs_noopt | 2 | test |
Question: A person who is successful at bringing people to the table probably makes what? Options: - delicious food - compliments - acquire wealth - bread - self esteem Explain why a human would choose "delicious food" to answer the question above:
A: | delicious food is always served at the table | cos_e_v1_11_explain_why_human | P3 | zs_opt | 2 | validation |
Q: You are given a short text as a title. Your task is to generate a poem as output that is related to the given title and should feel like written by kids. The output should be a run-on sentence (two or more complete sentences connected without any punctuation). The poem should not be too long or too complex, because ... | lefty loosey righty tighty that be the status of my horn if i do n't work hard to tighten and loosen them then my horn will be goney | task1711_poki_text_generation | NIv2 | zs_opt | 7 | train |
Definition: You are given a short text as a title. Your task is to generate a poem as output that is related to the given title and should feel like written by kids. The output should be a run-on sentence (two or more complete sentences connected without any punctuation). The poem should not be too long or too complex,... | you hear chew pop and lot of other sound it taste so minty and sweet it's blue and white it smell like mint it taste so spicy it wrapping be blue and white it's messy and sticky and really hot and cool | task1711_poki_text_generation | NIv2 | zs_opt | 2 | train |
You are given a short text as a title. Your task is to generate a poem as output that is related to the given title and should feel like written by kids. The output should be a run-on sentence (two or more complete sentences connected without any punctuation). The poem should not be too long or too complex, because it ... | outside i see beautiful thing a bird in a tree some buzzing bee as far a the eye can see wildflower grow everywere so beautiful indeed i've never see anything as beautiful a this everytime i close my eye that be all i see | task1711_poki_text_generation | NIv2 | zs_opt | 4 | train |
You are given a short text as a title. Your task is to generate a poem as output that is related to the given title and should feel like written by kids. The output should be a run-on sentence (two or more complete sentences connected without any punctuation). The poem should not be too long or too complex, because it ... | grey dark cloud light rain here it come it's a pain flash light rule the sky burn lightning flashing by light go out power go refrigerator off power go no computer power go no t. v. power go no music power go this the power of a thunderstorm i will be glad when it be go | task1711_poki_text_generation | NIv2 | zs_opt | 0 | train |
Instructions: You are given a short text as a title. Your task is to generate a poem as output that is related to the given title and should feel like written by kids. The output should be a run-on sentence (two or more complete sentences connected without any punctuation). The poem should not be too long or too comple... | if you keep it up you'll be so sorry although i do not like to smile if im not near you | task1711_poki_text_generation | NIv2 | zs_opt | 3 | train |
You are given a short text as a title. Your task is to generate a poem as output that is related to the given title and should feel like written by kids. The output should be a run-on sentence (two or more complete sentences connected without any punctuation). The poem should not be too long or too complex, because it ... | there be once wood and in those wood there be a path and on that path there be a house and in that house there be you | task1711_poki_text_generation | NIv2 | zs_opt | 4 | train |
Definition: You are given a short text as a title. Your task is to generate a poem as output that is related to the given title and should feel like written by kids. The output should be a run-on sentence (two or more complete sentences connected without any punctuation). The poem should not be too long or too complex,... | once there be a little lost cat that get hit with a ball and a baseball bat the little cat be so lose a you can see but then he come and look and he look and he find me | task1711_poki_text_generation | NIv2 | zs_opt | 2 | train |
Instructions: You are given a short text as a title. Your task is to generate a poem as output that is related to the given title and should feel like written by kids. The output should be a run-on sentence (two or more complete sentences connected without any punctuation). The poem should not be too long or too comple... | call of duty be a lot of fun especially when i level up my gun run around a big huge map take out every one in sight it real easy dont you fright i take them all out at night call of duty be fun but not real great i would rather spend my time catch a snake | task1711_poki_text_generation | NIv2 | zs_opt | 3 | train |
You are given a short text as a title. Your task is to generate a poem as output that is related to the given title and should feel like written by kids. The output should be a run-on sentence (two or more complete sentences connected without any punctuation). The poem should not be too long or too complex, because it ... | dragonfly be insect they have six leg and long thin body dragonfly have two big eye and two small antenna dragonfly have a mouth with sharp jaw for grab and eat other bug most dragonfly be as long a your finger their wing can be winder than your hand
| task1711_poki_text_generation | NIv2 | fs_opt | 6 | test |
Detailed Instructions: You are given a short text as a title. Your task is to generate a poem as output that is related to the given title and should feel like written by kids. The output should be a run-on sentence (two or more complete sentences connected without any punctuation). The poem should not be too long or t... | all good thing must come to an end | task1711_poki_text_generation | NIv2 | zs_opt | 9 | validation |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write your answer in the form... | jULIE feel(s) hungry >Motivates> Julie asks her mom to make her a sandwich | task747_glucose_cause_emotion_detection | NIv2 | fs_opt | 6 | train |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write your answer in the form... | Jan like(s) the name Bailey >Motivates> Jan names the puppy Bailey
****
| task747_glucose_cause_emotion_detection | NIv2 | fs_opt | 4 | train |
Detailed Instructions: In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write ... | Nancy like(s) her uncle >Motivates> Nancy is sad | task747_glucose_cause_emotion_detection | NIv2 | zs_opt | 8 | train |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write your answer in the form... | Joseph feel(s) concern >Motivates> Joseph tries to find his dog
| task747_glucose_cause_emotion_detection | NIv2 | fs_opt | 1 | train |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write your answer in the form... | Chris feel(s) excitement >Motivates> Chris jumps up and down | task747_glucose_cause_emotion_detection | NIv2 | zs_opt | 0 | train |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write your answer in the form... | Tiffany feel(s) giving >Motivates> Tiffany plans a great trip
| task747_glucose_cause_emotion_detection | NIv2 | fs_opt | 1 | train |
Given the task definition, example input & output, solve the new input case.
In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant ... | The kids and I like(s) doing things >Motivates> The kids and I do things | task747_glucose_cause_emotion_detection | NIv2 | fs_opt | 1 | train |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write your answer in the form... | Output: I like(s) ordering pizza >Motivates> I order pizza
| task747_glucose_cause_emotion_detection | NIv2 | fs_opt | 2 | train |
Detailed Instructions: In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write ... | Vince feels social >Motivates> Vince wants to go to a party | task747_glucose_cause_emotion_detection | NIv2 | zs_opt | 9 | test |
In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write your answer in the form... | Feliciano feel(s) love >Motivates> Feliciano and his kitten would be friends forever
| task747_glucose_cause_emotion_detection | NIv2 | fs_opt | 5 | validation |
question: "The sun was covered by a thick cloud all morning, but luckily, by the time the picnic started, it was out." is true.
So, is "The sun was out." true as well?
OPTIONS:
- no
- yes
prediction: yes
question: "Archaeologists have concluded that humans lived in Laputa 20,000 years ago. They hunted for deer on t... | no | glue_wnli_2_0_0 | Flan2021 | fs_opt | 9 | train |
Let's say that "The path to the lake was blocked, so we couldn't use it."
Can we now say that "We couldn't use the lake."? | no | glue_wnli_2_0_0 | Flan2021 | zs_noopt | 3 | train |
Multi-select: Is it possible to draw the conclusion that "The juggler was very impressive." if "John was jogging through the park when he saw a man juggling watermelons. He was very impressive."?
Pick from:
+ no;
+ yes; | yes | glue_wnli_2_0_0 | Flan2021 | zs_opt | 7 | train |
Multi-select: Is it possible to draw the conclusion that "Mr. Schmidt's work was beautiful." if "Every day after dinner Mr. Schmidt took a long nap. Mark would let him sleep for an hour, then wake him up, scold him, and get him to work. He needed to get him to finish his work, because his work was beautiful."?
Choose ... | (b). | glue_wnli_2_0_0 | Flan2021 | zs_opt | 7 | train |
Multi-choice problem: Is "We should make fewer of the chocolate chip cookies." true if "Everyone really loved the oatmeal cookies; only a few people liked the chocolate chip cookies. Next time, we should make fewer of them."?
Pick from: -- no; -- yes; | yes | glue_wnli_2_0_0 | Flan2021 | zs_opt | 8 | train |
Problem: If "Of one thing Mark was sure. Harry knew much less than he did.", is "Harry knew much less than Harry did." correct?
Answer: no
Problem: If "The Wainwrights treated Mr. Crowley like a prince until he made his will in their favor; then they treated him like dirt. Folks said he died just to be rid of their ... | no | glue_wnli_2_0_0 | Flan2021 | fs_noopt | 3 | train |
Does "Since Jade always wears a red turban, Alice spotted her quickly." appear to be an accurate statement based on "Alice looked for her friend Jade in the crowd. Since she always wears a red turban, Alice spotted her quickly."? | yes | glue_wnli_2_0_0 | Flan2021 | zs_noopt | 5 | train |
If "The firemen arrived before the police because they were coming from so far away.", can we conclude that "The police were coming from so far away."
Pick your answer from:
-- no.
-- yes.
I think the answer is | yes | glue_wnli_2_0_0 | Flan2021 | zs_opt | 0 | train |
Input: Can we say "I put the knife in the drawer." if "I used an old rag to clean the knife, and then I put it in the drawer."?
Output: yes
Input: Can we say "We couldn't use the lake." if "The path to the lake was blocked, so we couldn't use it."?
Output: no
Input: Can we say "The train was delayed, so it worked... | yes | glue_wnli_2_0_0 | Flan2021 | fs_noopt | 6 | test |
"I used an old rag to clean the knife, and then I put it in the trash." is a true sentence.
Does this mean that "I put the rag in the trash."?
Available choices: a). no b). yes | b). | glue_wnli_2_0_0 | Flan2021 | zs_opt | 4 | validation |
Determine the topic of the passage. "The winner was 20-year-old Teyona Anderson from Woodstown, New Jersey ." Topic:
The answer to this question is: | America's Next Top Model, Cycle 12 | wiki_qa_Topic_Prediction_Answer_Only | P3 | zs_opt | 7 | train |
Determine the topic of the passage. "At in length and or more in weight, it is the largest known animal to have ever existed." Topic:
Answer: | Blue whale | wiki_qa_Topic_Prediction_Answer_Only | P3 | zs_opt | 1 | train |
Please answer the following question: Determine the topic of the passage. "A major producer of natural gas , oil , and agriculture, Oklahoma relies on an economic base of aviation, energy, telecommunications, and biotechnology ." Topic:
A: | Oklahoma | wiki_qa_Topic_Prediction_Answer_Only | P3 | zs_opt | 8 | train |
[Q]: Determine the topic of the passage. "With advance orders exceeding one million copies in the United Kingdom, "I Want to Hold Your Hand" would ordinarily have gone straight to the top of the British record charts on its day of release (29 November 1963) had it not been blocked by the group's first million seller " ... | Nanotechnology | wiki_qa_Topic_Prediction_Answer_Only | P3 | fs_opt | 6 | train |
input: Please answer the following: Determine the topic of the passage. "They are: wisdom, understanding, wonder and awe (fear of the Lord) , counsel, knowledge, fortitude, and piety (reverence)." Topic:
++++++++++
output: Seven gifts of the Holy Spirit
input: Please answer the following: Determine the topic of the p... | Rhine | wiki_qa_Topic_Prediction_Answer_Only | P3 | fs_opt | 5 | train |
Determine the topic of the passage. "The largest Muslim country is Indonesia , home to 12.7% of the world's Muslims, followed by Pakistan (11.0%), India (10.9%), and Bangladesh (9.2%)." Topic:
Answer: | Islam by country | wiki_qa_Topic_Prediction_Answer_Only | P3 | zs_opt | 1 | train |
Question: Determine the topic of the passage. "It occurs when using a photographic flash very close to the camera lens (as with most compact cameras ), in ambient low light." Topic:
Answer: | Red-eye effect | wiki_qa_Topic_Prediction_Answer_Only | P3 | zs_opt | 4 | train |
Please answer this: Determine the topic of the passage. "The term "effective" is used because the shielding effect of negatively charged electrons prevents higher orbital electrons from experiencing the full nuclear charge by the repelling effect of inner-layer electrons." Topic:
++++++++
Answer: Effective nuclear char... | Mia Hamm | wiki_qa_Topic_Prediction_Answer_Only | P3 | fs_opt | 6 | train |
input: Please answer the following: Determine the topic of the passage. "As the second largest city in San Diego County , Chula Vista has quickly become a destination popular to many tourists." Topic:
++++++++++
output: Chula Vista, California
input: Please answer the following: Determine the topic of the passage. "C... | Vietnamese American | wiki_qa_Topic_Prediction_Answer_Only | P3 | fs_opt | 5 | test |
Q: Determine the topic of the passage. "An academic discipline, or field of study, is a branch of knowledge that is taught and researched at the college or university level." Topic:
A: List of academic disciplines
Q: Determine the topic of the passage. "Some tags are powered and read at short ranges (a few meters) via... | Hepatitis C | wiki_qa_Topic_Prediction_Answer_Only | P3 | fs_opt | 2 | validation |
Detailed Instructions: In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A after the first i elements. i will always have a value less than the length of A.
Problem:1, ['K', 'i', 'j', '4979', 'F']
Solution: | i, j, 4979, F | task064_all_elements_except_first_i | NIv2 | zs_opt | 8 | train |
Detailed Instructions: In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A after the first i elements. i will always have a value less than the length of A.
See one example below:
Problem: 3, ['a', '34', 'f', '931', '7', '3432', '13245', '762']
Solut... | W, 6687, x, V, 9097, G, f, 2815, 2133, K, 983, o | task064_all_elements_except_first_i | NIv2 | fs_opt | 4 | train |
In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A after the first i elements. i will always have a value less than the length of A.
Example Input: 2, ['K', 'Y', '3597', '4527', '9037', 'o', '8797', 'o', '5875', '4173', '4819', 'I', '9995', 'C', 'B... | 1269, 9529, 3539, L, C, I, 5187, p, D, Z, d, 5575, n, Y, b, v, 3405, 8107, A, N, 8969, w, 4533
| task064_all_elements_except_first_i | NIv2 | fs_opt | 3 | train |
Instructions: In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A after the first i elements. i will always have a value less than the length of A.
Input: 2, ['9837', 'p', '5587', 'L', '6723', 'K', 'f', '5443', 'o', 'W', 'R', '4595', '8277', 'm', '60... | 5587, L, 6723, K, f, 5443, o, W, R, 4595, 8277, m, 6075, s, 421, S, i, 2859, A, 1873, 711, B, 4973, 4463, A, i, 9941, 6637 | task064_all_elements_except_first_i | NIv2 | zs_opt | 3 | train |
In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A after the first i elements. i will always have a value less than the length of A.
[Q]: 2, ['4985', 'K', '61', '4915']
[A]: 61, 4915
[Q]: 2, ['8163', 'v', 'D', 'h', 'U', 'E', '9031', '6007', '3907... | X, m, Y, 2589, 283, b, Z, r, a
| task064_all_elements_except_first_i | NIv2 | fs_opt | 5 | train |
You will be given a definition of a task first, then some input of the task.
In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A after the first i elements. i will always have a value less than the length of A.
11, ['6185', '1071', 'b', 'L', '7765',... | O, 2179, h, 3575, G, 9469, l, 8359, g, 6135, 8971, 8537 | task064_all_elements_except_first_i | NIv2 | zs_opt | 1 | train |
Detailed Instructions: In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A after the first i elements. i will always have a value less than the length of A.
Problem:2, ['i', '1497', 's', '9559', '9873', 'Y', '4729', 'n', '8131', 'u', 'c', '5011', 'z'... | s, 9559, 9873, Y, 4729, n, 8131, u, c, 5011, z, b, u, o, 9165, N, 525 | task064_all_elements_except_first_i | NIv2 | zs_opt | 8 | train |
In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A after the first i elements. i will always have a value less than the length of A.
[Q]: 2, ['c', 'Z', 'q', '7135', '4087', 'V', 'j', '761', '3841', 'Q', 'u']
[A]: q, 7135, 4087, V, j, 761, 3841, Q, ... | B, 1793, 1561, a, 5063, 8057, V, 7919, e, 3103, 7643, 4795, R, d, U, U, u, 2103
| task064_all_elements_except_first_i | NIv2 | fs_opt | 5 | train |
Instructions: In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A after the first i elements. i will always have a value less than the length of A.
Input: 2, ['441', 'Y', 'S', '4179', '1707', '3147', '6203', '1143', '9645', '269', '3369', '5573', 'V'... | S, 4179, 1707, 3147, 6203, 1143, 9645, 269, 3369, 5573, V, K, 5979, a, 8909 | task064_all_elements_except_first_i | NIv2 | zs_opt | 3 | test |
Teacher:In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A after the first i elements. i will always have a value less than the length of A.
Teacher: Now, understand the problem? Solve this instance: 3, ['4231', 'f', 'J', '9203', 'W', 's', '7523', '... | 9203, W, s, 7523, 6713, C, 7549, E, U, i, d, 741, H, 9377 | task064_all_elements_except_first_i | NIv2 | zs_opt | 6 | validation |
In this task, you are given a part of an article. Your task is to generate headline (title) for this text. Preferred headlines are under fifteen words.
Example Input: Distributed constraint optimization (DCOP) problems are a popular way of formulating and solving agent-coordination problems. A DCOP problem is a proble... | ON THE PROPERTIES OF α-UNCHAINING SINGLE LINKAGE HIERARCHICAL CLUSTERING
| task1540_parsed_pdfs_summarization | NIv2 | fs_opt | 3 | train |
Detailed Instructions: In this task, you are given a part of an article. Your task is to generate headline (title) for this text. Preferred headlines are under fifteen words.
Problem:<lb>Recent price-of-anarchy analyses of games of complete information suggest that coarse correlated<lb>equilibria, which characterize ou... | No-Regret Learning in Repeated Bayesian Games | task1540_parsed_pdfs_summarization | NIv2 | zs_opt | 8 | train |
Teacher:In this task, you are given a part of an article. Your task is to generate headline (title) for this text. Preferred headlines are under fifteen words.
Teacher: Now, understand the problem? Solve this instance: Feature selection refers to the problem of selecting relevant features which produce the most predict... | A Novel Rough Set Reduct Algorithm for Medical Domain Based on Bee Colony Optimization | task1540_parsed_pdfs_summarization | NIv2 | zs_opt | 6 | train |
Given the task definition and input, reply with output. In this task, you are given a part of an article. Your task is to generate headline (title) for this text. Preferred headlines are under fifteen words.
Visual question answering (VQA) has witnessed great progress since May, 2015 as a classic problem unifying visu... | Task-driven Visual Saliency and Attention-based Visual Question Answering | task1540_parsed_pdfs_summarization | NIv2 | zs_opt | 5 | train |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a part of an article. Your task is to generate headline (title) for this text. Preferred headlines are under fifteen words.
Example: We propose a local coherence model based on a convolutional neural network that op... | END-TO-END JOINT LEARNING OF NATURAL LANGUAGE UNDERSTANDING AND DIALOGUE MANAGER | task1540_parsed_pdfs_summarization | NIv2 | fs_opt | 1 | train |
Given the task definition and input, reply with output. In this task, you are given a part of an article. Your task is to generate headline (title) for this text. Preferred headlines are under fifteen words.
Résumé Elections unleash strong political views on Twitter, but what do people really think about politics ? Op... | Active learning in annotating micro-blogs dealing with e-reputation | task1540_parsed_pdfs_summarization | NIv2 | zs_opt | 5 | train |
In this task, you are given a part of an article. Your task is to generate headline (title) for this text. Preferred headlines are under fifteen words.
Example: We propose a local coherence model based on a convolutional neural network that operates over the entity grid representation of a text. The model captures long... | Solution: A Review of Machine Learning based Anomaly Detection Techniques | task1540_parsed_pdfs_summarization | NIv2 | fs_opt | 5 | train |
Detailed Instructions: In this task, you are given a part of an article. Your task is to generate headline (title) for this text. Preferred headlines are under fifteen words.
Problem:We introduce a method for constructing skills capable of solving tasks drawn from a distribution of parameterized reinforcement learning ... | Learning Parameterized Skills | task1540_parsed_pdfs_summarization | NIv2 | zs_opt | 8 | train |
Given the task definition and input, reply with output. In this task, you are given a part of an article. Your task is to generate headline (title) for this text. Preferred headlines are under fifteen words.
The success of kernel methods has initiated the design of novel positive semidefinite functions, in particular ... | On Valid Optimal Assignment Kernels and Applications to Graph Classification | task1540_parsed_pdfs_summarization | NIv2 | zs_opt | 5 | test |
Detailed Instructions: In this task, you are given a part of an article. Your task is to generate headline (title) for this text. Preferred headlines are under fifteen words.
See one example below:
Problem: We propose a local coherence model based on a convolutional neural network that operates over the entity grid rep... | To go deep or wide in learning? | task1540_parsed_pdfs_summarization | NIv2 | fs_opt | 4 | validation |
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