source stringlengths 17 501k | target stringlengths 0 8.23k | task_name stringlengths 8 85 | task_source stringclasses 4
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values | template_idx int64 0 17 | split stringclasses 3
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In this task you will be given a list of integers. You should remove all of the integers that are divisible by 3 from the list. If every integer in the input list is divisible by 3 then an empty list should be returned. Zero is divisible by 3.
[-45, 68, 60, 23, 28, 56]
[68, 23, 28, 56]
[91, 75, -74]
[91, -74]
[-74, ... | [-74]
| task370_synthetic_remove_divisible_by_3 | NIv2 | fs_opt | 0 | train |
In this task you will be given a list of integers. You should remove all of the integers that are divisible by 3 from the list. If every integer in the input list is divisible by 3 then an empty list should be returned. Zero is divisible by 3.
[-19, 72, 14, -44, -93, 49, 4, -3, 40]
[-19, 14, -44, 49, 4, 40]
[23, 77, ... | [-91, 79, 41, 7, 13, -40]
| task370_synthetic_remove_divisible_by_3 | NIv2 | fs_opt | 0 | train |
TASK DEFINITION: In this task you will be given a list of integers. You should remove all of the integers that are divisible by 3 from the list. If every integer in the input list is divisible by 3 then an empty list should be returned. Zero is divisible by 3.
PROBLEM: [85, -55, 8, 20, 59, -30, 46, 48, -60]
SOLUTION: ... | [28, 11, 19, -16, 97]
| task370_synthetic_remove_divisible_by_3 | NIv2 | fs_opt | 8 | train |
Part 1. Definition
In this task you will be given a list of integers. You should remove all of the integers that are divisible by 3 from the list. If every integer in the input list is divisible by 3 then an empty list should be returned. Zero is divisible by 3.
Part 2. Example
[2, 5, 9, 6, 11]
Answer: [2, 5, 11]
Expla... | [-25, -56, -11, -50, -77] | task370_synthetic_remove_divisible_by_3 | NIv2 | fs_opt | 7 | train |
In this task you will be given a list of integers. You should remove all of the integers that are divisible by 3 from the list. If every integer in the input list is divisible by 3 then an empty list should be returned. Zero is divisible by 3.
[90, 39, 29, -71, 28, -5, -2] | [29, -71, 28, -5, -2] | task370_synthetic_remove_divisible_by_3 | NIv2 | zs_opt | 0 | train |
Teacher:In this task you will be given a list of integers. You should remove all of the integers that are divisible by 3 from the list. If every integer in the input list is divisible by 3 then an empty list should be returned. Zero is divisible by 3.
Teacher: Now, understand the problem? Solve this instance: [-52, 39,... | [-52, 64, -79] | task370_synthetic_remove_divisible_by_3 | NIv2 | zs_opt | 6 | train |
Instructions: In this task you will be given a list of integers. You should remove all of the integers that are divisible by 3 from the list. If every integer in the input list is divisible by 3 then an empty list should be returned. Zero is divisible by 3.
Input: [19, 38, 16, -87, -19, -4, -2, 24, -42, -54]
Output: | [19, 38, 16, -19, -4, -2] | task370_synthetic_remove_divisible_by_3 | NIv2 | zs_opt | 3 | train |
In this task you will be given a list of integers. You should remove all of the integers that are divisible by 3 from the list. If every integer in the input list is divisible by 3 then an empty list should be returned. Zero is divisible by 3.
Q: [-87, 92, 13, 77]
A: [92, 13, 77]
****
Q: [-43, -12]
A: [-43]
****
Q: ... | [-43, 23, 61, -13, -53, -88]
****
| task370_synthetic_remove_divisible_by_3 | NIv2 | fs_opt | 4 | 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 will be given a list of integers. You should remove all of the integers that are divisible by 3 from the list. If every integer in the input list is divisible by 3 then an empty list... | [62, 37, -53, -14, -82, -40, 53] | task370_synthetic_remove_divisible_by_3 | NIv2 | fs_opt | 0 | test |
In this task you will be given a list of integers. You should remove all of the integers that are divisible by 3 from the list. If every integer in the input list is divisible by 3 then an empty list should be returned. Zero is divisible by 3.
--------
Question: [11, -30]
Answer: [11]
Question: [89, 24]
Answer: [89... | []
| task370_synthetic_remove_divisible_by_3 | NIv2 | fs_opt | 7 | validation |
You will be asked how to do a certain task. You should describe a physical process that does not lead to the asked outcome, yet it is closely related to it (i.e., it should use the words that are provided in the input). The physical process can be moving something, arranging something in a certain way, mixing things, s... | Print your design on printer paper, then lay the printed sheet upside down on the wood with a heavy book sitting on top of it for 2 minutes. | task081_piqa_wrong_answer_generation | NIv2 | fs_opt | 6 | train |
You will be asked how to do a certain task. You should describe a physical process that does not lead to the asked outcome, yet it is closely related to it (i.e., it should use the words that are provided in the input). The physical process can be moving something, arranging something in a certain way, mixing things, s... | Instead you should make the switch suddenly, it is important not to prepare the toddler well in advance.
| task081_piqa_wrong_answer_generation | NIv2 | fs_opt | 3 | train |
Detailed Instructions: You will be asked how to do a certain task. You should describe a physical process that does not lead to the asked outcome, yet it is closely related to it (i.e., it should use the words that are provided in the input). The physical process can be moving something, arranging something in a certai... | Microwave 1 cup each sugar and honey in a microwave-safe glass measuring cup until a candy thermometer reaches 290 degrees F, 10 to 15 minutes. In a stand mixer fitted with the paddle attachment, beat 2 egg whites mixed with sixteen jars of marshmallow fluff on high speed until stiff peaks form. With the motor running,... | task081_piqa_wrong_answer_generation | NIv2 | zs_opt | 8 | train |
You will be asked how to do a certain task. You should describe a physical process that does not lead to the asked outcome, yet it is closely related to it (i.e., it should use the words that are provided in the input). The physical process can be moving something, arranging something in a certain way, mixing things, s... | To Drink Coffee without Staining Your Teeth, rinse out your mouth with water or mouthwash before you start drinking your coffee. | task081_piqa_wrong_answer_generation | NIv2 | zs_opt | 0 | train |
Detailed Instructions: You will be asked how to do a certain task. You should describe a physical process that does not lead to the asked outcome, yet it is closely related to it (i.e., it should use the words that are provided in the input). The physical process can be moving something, arranging something in a certai... | Whack against the counter edge, quickly and then pry apart with a knife. | task081_piqa_wrong_answer_generation | NIv2 | zs_opt | 9 | train |
You will be asked how to do a certain task. You should describe a physical process that does not lead to the asked outcome, yet it is closely related to it (i.e., it should use the words that are provided in the input). The physical process can be moving something, arranging something in a certain way, mixing things, s... | move your eyelids above your eyes.
| task081_piqa_wrong_answer_generation | NIv2 | fs_opt | 1 | train |
Definition: You will be asked how to do a certain task. You should describe a physical process that does not lead to the asked outcome, yet it is closely related to it (i.e., it should use the words that are provided in the input). The physical process can be moving something, arranging something in a certain way, mixi... | Scrub the dirty areas with dish soap and it will come up | task081_piqa_wrong_answer_generation | NIv2 | zs_opt | 2 | train |
Detailed Instructions: You will be asked how to do a certain task. You should describe a physical process that does not lead to the asked outcome, yet it is closely related to it (i.e., it should use the words that are provided in the input). The physical process can be moving something, arranging something in a certai... | Hang a bundle of white candles. | task081_piqa_wrong_answer_generation | NIv2 | zs_opt | 9 | train |
Detailed Instructions: You will be asked how to do a certain task. You should describe a physical process that does not lead to the asked outcome, yet it is closely related to it (i.e., it should use the words that are provided in the input). The physical process can be moving something, arranging something in a certai... | Don't buy at morning because feet are 10% larger. | task081_piqa_wrong_answer_generation | NIv2 | zs_opt | 9 | test |
You will be asked how to do a certain task. You should describe a physical process that does not lead to the asked outcome, yet it is closely related to it (i.e., it should use the words that are provided in the input). The physical process can be moving something, arranging something in a certain way, mixing things, s... | Solution: remove it from it's pan by lifting it out of the pan with a kitchen knife from the bottom, then letting it cool on a cooling rack until at room temperature. | task081_piqa_wrong_answer_generation | NIv2 | fs_opt | 5 | validation |
You will be given a definition of a task first, then some input of the task.
You are given a news article headline from BBC Yoruba and your task is to classify it into one of the following categories: Africa, Entertainment, Health, Nigeria, Politics, Sport, or World.
PDP yóò wọ́de lọ́jọ́ Ajé nítorí ìdájọ́ ìdìbò gómìn... | Politics | task612_yorubabbc_classification | NIv2 | zs_opt | 1 | train |
Detailed Instructions: You are given a news article headline from BBC Yoruba and your task is to classify it into one of the following categories: Africa, Entertainment, Health, Nigeria, Politics, Sport, or World.
Problem:Blac Chyna fẹ́ wá ta ìpara bórabóra Whitenicious ni Eko
Solution: | Entertainment | task612_yorubabbc_classification | 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.
You are given a news article headline from BBC Yoruba and your task is to classify it into one of the following categories: Africa, Entertainment, Health, Nigeria, Politics, Sport, or World.
2019 E... | Health | task612_yorubabbc_classification | NIv2 | fs_opt | 0 | train |
Given the task definition and input, reply with output. You are given a news article headline from BBC Yoruba and your task is to classify it into one of the following categories: Africa, Entertainment, Health, Nigeria, Politics, Sport, or World.
Democracy Day: Àkójọpọ̀ àwòrán láti ìpínlẹ̀ Ọyọ, Ogun àti Kwara fún ìbú... | Politics | task612_yorubabbc_classification | NIv2 | zs_opt | 5 | train |
Given the task definition and input, reply with output. You are given a news article headline from BBC Yoruba and your task is to classify it into one of the following categories: Africa, Entertainment, Health, Nigeria, Politics, Sport, or World.
Olè Lekki: Obìnrin méjì ni wọ́n dá lọ́nà, tọ́wọ́ ọlọ́pàá fi tẹ̀ wọ́n
| Nigeria | task612_yorubabbc_classification | NIv2 | zs_opt | 5 | train |
You are given a news article headline from BBC Yoruba and your task is to classify it into one of the following categories: Africa, Entertainment, Health, Nigeria, Politics, Sport, or World.
Let me give you an example: 2019 Election update: Buhari borí; ó di ààrẹ
Nàìjíríà tuntun
The answer to this example can be: Pol... | Nigeria | task612_yorubabbc_classification | NIv2 | fs_opt | 8 | train |
Definition: You are given a news article headline from BBC Yoruba and your task is to classify it into one of the following categories: Africa, Entertainment, Health, Nigeria, Politics, Sport, or World.
Input: Toyin Abraham: Ọ̀pọ̀ èèyàn ní èké ni Mercy Aigbe ń ṣe lórí bó ṣe ki Adeniyi Johnson
Output: | Entertainment | task612_yorubabbc_classification | NIv2 | zs_opt | 2 | train |
You are given a news article headline from BBC Yoruba and your task is to classify it into one of the following categories: Africa, Entertainment, Health, Nigeria, Politics, Sport, or World.
Example input: 2019 Election update: Buhari borí; ó di ààrẹ
Nàìjíríà tuntun
Example output: Politics
Example explanation: The h... | Nigeria | task612_yorubabbc_classification | NIv2 | fs_opt | 3 | train |
You are given a news article headline from BBC Yoruba and your task is to classify it into one of the following categories: Africa, Entertainment, Health, Nigeria, Politics, Sport, or World.
Let me give you an example: 2019 Election update: Buhari borí; ó di ààrẹ
Nàìjíríà tuntun
The answer to this example can be: Pol... | Nigeria | task612_yorubabbc_classification | NIv2 | fs_opt | 8 | test |
You are given a news article headline from BBC Yoruba and your task is to classify it into one of the following categories: Africa, Entertainment, Health, Nigeria, Politics, Sport, or World.
--------
Question: Domestic Violence: Ìyá ọlọ́mọ méji náà fẹ̀ṣùn kan ọkọ pé ó ń yan àlè ló ṣe tìí bọ́
Answer: Nigeria
Questio... | Nigeria
| task612_yorubabbc_classification | NIv2 | fs_opt | 7 | validation |
Detailed Instructions: In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.
Problem:We collected tweets related to five different DDoS attacks on three different Am... | What is the training and test data used? | task461_qasper_question_generation | NIv2 | zs_opt | 8 | train |
Q: In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.
Among all available parameters to tune the D2V algorithm released by Gensim, six of them were selected for o... | What Doc2Vec architectures other than PV-DBOW have been tried? | task461_qasper_question_generation | NIv2 | zs_opt | 7 | train |
Q: In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.
We varied the number of experts between models, using ordinary MoE layers with 4, 32 and 256 experts and hie... | How is the correct number of experts to use decided? | task461_qasper_question_generation | NIv2 | zs_opt | 7 | train |
In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.
Q: The Wikipedia dataset consists of articles from English Wikipedia, with quality class labels assigned by the... | Which languages do they use? | task461_qasper_question_generation | NIv2 | zs_opt | 4 | train |
In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.
One example: Questions are gathered from anonymized, aggregated queries to the Google search engine. Queries th... | What are the weaknesses found by non-expert annotators of current state-of-the-art NLI models? | task461_qasper_question_generation | NIv2 | fs_opt | 6 | train |
Given the task definition and input, reply with output. In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.
TF-IDF: We applied TF-IDF features as inputs to four c... | To what baseline models is proposed model compared? | task461_qasper_question_generation | NIv2 | zs_opt | 5 | train |
In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.
[Q]: In our experiments, we use as input the 2210 tokenized sentences of the Stanford Sentiment Treebank test ... | How many comments were used?
| task461_qasper_question_generation | NIv2 | fs_opt | 5 | train |
In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.
Q: We evaluate an RNN model which uses bidirectionally summed GRU memory cells BIBREF18 and uses the final stat... | what were the baselines? | task461_qasper_question_generation | NIv2 | zs_opt | 4 | train |
In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.
Q: We compared our models with the following state-of-the-art baselines:
Sequence to Sequence (Seq2Seq): A sim... | Did they compare to Transformer based large language models? | task461_qasper_question_generation | NIv2 | zs_opt | 4 | test |
Instructions: In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.
Input: Datasets: We experimented on four standard datasets: WN18 and FB15k are extracted by BIBRE... | What datasets are used to evaluate the model? | task461_qasper_question_generation | NIv2 | zs_opt | 3 | validation |
You are given a question or fill-in-the-blank question, two answer options (Option1 and Option2) and an Explanation. Your task is to find the correct answer (return the string of the correct option, not option1/2) for the given question from the given options and using explanation.
Example: Question: The government of ... | Solution: decreases | task178_quartz_question_answering | NIv2 | fs_opt | 5 | train |
You will be given a definition of a task first, then some input of the task.
You are given a question or fill-in-the-blank question, two answer options (Option1 and Option2) and an Explanation. Your task is to find the correct answer (return the string of the correct option, not option1/2) for the given question from t... | bigger | task178_quartz_question_answering | NIv2 | zs_opt | 1 | train |
You are given a question or fill-in-the-blank question, two answer options (Option1 and Option2) and an Explanation. Your task is to find the correct answer (return the string of the correct option, not option1/2) for the given question from the given options and using explanation.
Ex Input:
Question: Mona lives in a ... | more strongly
| task178_quartz_question_answering | NIv2 | fs_opt | 1 | train |
You are given a question or fill-in-the-blank question, two answer options (Option1 and Option2) and an Explanation. Your task is to find the correct answer (return the string of the correct option, not option1/2) for the given question from the given options and using explanation.
Example Input: Question: When it get... | farther
| task178_quartz_question_answering | NIv2 | fs_opt | 3 | train |
Given the task definition and input, reply with output. You are given a question or fill-in-the-blank question, two answer options (Option1 and Option2) and an Explanation. Your task is to find the correct answer (return the string of the correct option, not option1/2) for the given question from the given options and ... | Mercury | task178_quartz_question_answering | NIv2 | zs_opt | 5 | train |
Detailed Instructions: You are given a question or fill-in-the-blank question, two answer options (Option1 and Option2) and an Explanation. Your task is to find the correct answer (return the string of the correct option, not option1/2) for the given question from the given options and using explanation.
See one exampl... | the people in the Democratic Republic of Congo? | task178_quartz_question_answering | NIv2 | fs_opt | 4 | train |
Instructions: You are given a question or fill-in-the-blank question, two answer options (Option1 and Option2) and an Explanation. Your task is to find the correct answer (return the string of the correct option, not option1/2) for the given question from the given options and using explanation.
Input: Question: When t... | loses acidity | task178_quartz_question_answering | NIv2 | zs_opt | 3 | train |
instruction:
You are given a question or fill-in-the-blank question, two answer options (Option1 and Option2) and an Explanation. Your task is to find the correct answer (return the string of the correct option, not option1/2) for the given question from the given options and using explanation.
question:
Question: A so... | more
| task178_quartz_question_answering | NIv2 | fs_opt | 9 | train |
You are given a question or fill-in-the-blank question, two answer options (Option1 and Option2) and an Explanation. Your task is to find the correct answer (return the string of the correct option, not option1/2) for the given question from the given options and using explanation.
Example Input: Question: If someone ... | faster
| task178_quartz_question_answering | NIv2 | fs_opt | 3 | test |
You are given a question or fill-in-the-blank question, two answer options (Option1 and Option2) and an Explanation. Your task is to find the correct answer (return the string of the correct option, not option1/2) for the given question from the given options and using explanation.
Let me give you an example: Question... | rises | task178_quartz_question_answering | NIv2 | fs_opt | 8 | validation |
Detailed Instructions: In this task you are given a tweet. You must judge whether the author of the tweet is sad or not. Label the instances as "Sad" or "Not sad" based on your judgment. You can get help from hashtags and emojis, but you should not judge only based on them, and should pay attention to tweet's text as w... | Sad | task399_semeval_2018_task1_tweet_sadness_detection | NIv2 | fs_opt | 4 | train |
In this task you are given a tweet. You must judge whether the author of the tweet is sad or not. Label the instances as "Sad" or "Not sad" based on your judgment. You can get help from hashtags and emojis, but you should not judge only based on them, and should pay attention to tweet's text as well.
Example Input: Re... | Not sad
| task399_semeval_2018_task1_tweet_sadness_detection | NIv2 | fs_opt | 3 | train |
In this task you are given a tweet. You must judge whether the author of the tweet is sad or not. Label the instances as "Sad" or "Not sad" based on your judgment. You can get help from hashtags and emojis, but you should not judge only based on them, and should pay attention to tweet's text as well.
Let me give you a... | Not sad | task399_semeval_2018_task1_tweet_sadness_detection | NIv2 | fs_opt | 8 | train |
Q: In this task you are given a tweet. You must judge whether the author of the tweet is sad or not. Label the instances as "Sad" or "Not sad" based on your judgment. You can get help from hashtags and emojis, but you should not judge only based on them, and should pay attention to tweet's text as well.
@jenhasonen it ... | Not sad | task399_semeval_2018_task1_tweet_sadness_detection | NIv2 | zs_opt | 7 | 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 tweet. You must judge whether the author of the tweet is sad or not. Label the instances as "Sad" or "Not sad" based on your judgment. You can get help from hashtags and ... | Sad | task399_semeval_2018_task1_tweet_sadness_detection | NIv2 | fs_opt | 0 | train |
Teacher: In this task you are given a tweet. You must judge whether the author of the tweet is sad or not. Label the instances as "Sad" or "Not sad" based on your judgment. You can get help from hashtags and emojis, but you should not judge only based on them, and should pay attention to tweet's text as well.
Teacher: ... | Sad | task399_semeval_2018_task1_tweet_sadness_detection | NIv2 | fs_opt | 2 | train |
In this task you are given a tweet. You must judge whether the author of the tweet is sad or not. Label the instances as "Sad" or "Not sad" based on your judgment. You can get help from hashtags and emojis, but you should not judge only based on them, and should pay attention to tweet's text as well.
@hamzakhawaja99 j... | Not sad
| task399_semeval_2018_task1_tweet_sadness_detection | NIv2 | fs_opt | 0 | train |
Definition: In this task you are given a tweet. You must judge whether the author of the tweet is sad or not. Label the instances as "Sad" or "Not sad" based on your judgment. You can get help from hashtags and emojis, but you should not judge only based on them, and should pay attention to tweet's text as well.
Input:... | Not sad | task399_semeval_2018_task1_tweet_sadness_detection | NIv2 | zs_opt | 2 | train |
In this task you are given a tweet. You must judge whether the author of the tweet is sad or not. Label the instances as "Sad" or "Not sad" based on your judgment. You can get help from hashtags and emojis, but you should not judge only based on them, and should pay attention to tweet's text as well.
Example input: Yo... | Sad | task399_semeval_2018_task1_tweet_sadness_detection | NIv2 | fs_opt | 3 | test |
In this task you are given a tweet. You must judge whether the author of the tweet is sad or not. Label the instances as "Sad" or "Not sad" based on your judgment. You can get help from hashtags and emojis, but you should not judge only based on them, and should pay attention to tweet's text as well.
One example: You c... | Not sad | task399_semeval_2018_task1_tweet_sadness_detection | NIv2 | fs_opt | 6 | validation |
In this task you need to indicate the plausibility of reasoning for the pronoun coreference relations. Each of the provided inputs contains a sentence with a target pronoun and a sentence that justifies which noun phrase the pronoun refers to. Correct reasons do not need to use all the knowledge from the sentence. The ... | Correct | task133_winowhy_reason_plausibility_detection | NIv2 | fs_opt | 8 | train |
Detailed Instructions: In this task you need to indicate the plausibility of reasoning for the pronoun coreference relations. Each of the provided inputs contains a sentence with a target pronoun and a sentence that justifies which noun phrase the pronoun refers to. Correct reasons do not need to use all the knowledge ... | Wrong | task133_winowhy_reason_plausibility_detection | NIv2 | fs_opt | 4 | train |
In this task you need to indicate the plausibility of reasoning for the pronoun coreference relations. Each of the provided inputs contains a sentence with a target pronoun and a sentence that justifies which noun phrase the pronoun refers to. Correct reasons do not need to use all the knowledge from the sentence. The ... | Wrong
| task133_winowhy_reason_plausibility_detection | NIv2 | fs_opt | 5 | train |
Detailed Instructions: In this task you need to indicate the plausibility of reasoning for the pronoun coreference relations. Each of the provided inputs contains a sentence with a target pronoun and a sentence that justifies which noun phrase the pronoun refers to. Correct reasons do not need to use all the knowledge ... | Wrong | task133_winowhy_reason_plausibility_detection | NIv2 | zs_opt | 9 | train |
Given the task definition, example input & output, solve the new input case.
In this task you need to indicate the plausibility of reasoning for the pronoun coreference relations. Each of the provided inputs contains a sentence with a target pronoun and a sentence that justifies which noun phrase the pronoun refers to.... | Wrong | task133_winowhy_reason_plausibility_detection | NIv2 | fs_opt | 1 | train |
Teacher: In this task you need to indicate the plausibility of reasoning for the pronoun coreference relations. Each of the provided inputs contains a sentence with a target pronoun and a sentence that justifies which noun phrase the pronoun refers to. Correct reasons do not need to use all the knowledge from the sente... | Wrong | task133_winowhy_reason_plausibility_detection | NIv2 | fs_opt | 2 | train |
In this task you need to indicate the plausibility of reasoning for the pronoun coreference relations. Each of the provided inputs contains a sentence with a target pronoun and a sentence that justifies which noun phrase the pronoun refers to. Correct reasons do not need to use all the knowledge from the sentence. The ... | Correct
****
| task133_winowhy_reason_plausibility_detection | NIv2 | fs_opt | 4 | train |
In this task you need to indicate the plausibility of reasoning for the pronoun coreference relations. Each of the provided inputs contains a sentence with a target pronoun and a sentence that justifies which noun phrase the pronoun refers to. Correct reasons do not need to use all the knowledge from the sentence. The ... | Correct
| task133_winowhy_reason_plausibility_detection | NIv2 | fs_opt | 6 | train |
In this task you need to indicate the plausibility of reasoning for the pronoun coreference relations. Each of the provided inputs contains a sentence with a target pronoun and a sentence that justifies which noun phrase the pronoun refers to. Correct reasons do not need to use all the knowledge from the sentence. The ... | Wrong
| task133_winowhy_reason_plausibility_detection | NIv2 | fs_opt | 0 | test |
Definition: In this task you need to indicate the plausibility of reasoning for the pronoun coreference relations. Each of the provided inputs contains a sentence with a target pronoun and a sentence that justifies which noun phrase the pronoun refers to. Correct reasons do not need to use all the knowledge from the se... | Wrong | task133_winowhy_reason_plausibility_detection | NIv2 | zs_opt | 2 | validation |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a string of characters. You need to remove duplicate characters from the string if any, and return the resulting string.
kjynMHqaVPzfJDTnXNHz
Output: | kjynMHqaVPzfJDTXN | task1316_remove_duplicates_string | NIv2 | zs_opt | 1 | train |
Detailed Instructions: In this task, you are given a string of characters. You need to remove duplicate characters from the string if any, and return the resulting string.
Q: pRLRjmBQYxfuPuhnIiWinXvZknIW
A: | pRLjmBQYxfuPhnIiWXvZk | task1316_remove_duplicates_string | NIv2 | zs_opt | 9 | train |
In this task, you are given a string of characters. You need to remove duplicate characters from the string if any, and return the resulting string.
Example: abCCdDDgGGhi
Example solution: abCdDgGhi
Example explanation: The input string has 3 duplicate characters and the resulting output string has no duplicate charact... | Solution: vZkGtDlRuwPzFhbTCsxSMjWKI | task1316_remove_duplicates_string | 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 a string of characters. You need to remove duplicate characters from the string if any, and return the resulting string.
mfoolHtOfhaQLbWfTRVwrXPxPUX
Output: | mfolHtOhaQLbWTRVwrXPxU | task1316_remove_duplicates_string | NIv2 | zs_opt | 1 | train |
In this task, you are given a string of characters. You need to remove duplicate characters from the string if any, and return the resulting string.
--------
Question: gIbVlYsnmQJkeQqsrmuup
Answer: gIbVlYsnmQJkeqrup
Question: IpFBHqaAeWEXwHnzkFhZQTlS
Answer: IpFBHqaAeWEXwnzkhZQTlS
Question: yIHZfTLvRxeCpFyKpaaUvv... | yIHZfTLvRxeCpFKaUjWk
| task1316_remove_duplicates_string | NIv2 | fs_opt | 7 | train |
Teacher:In this task, you are given a string of characters. You need to remove duplicate characters from the string if any, and return the resulting string.
Teacher: Now, understand the problem? Solve this instance: hwHEeswGPwIHXoGqSbWQX
Student: | hwHEesGPIXoqSbWQ | task1316_remove_duplicates_string | NIv2 | zs_opt | 6 | train |
Teacher:In this task, you are given a string of characters. You need to remove duplicate characters from the string if any, and return the resulting string.
Teacher: Now, understand the problem? Solve this instance: SFIxkcMKVMuCoybMuVPzYFOYUfd
Student: | SFIxkcMKVuCoybPzYOUfd | task1316_remove_duplicates_string | NIv2 | zs_opt | 6 | train |
TASK DEFINITION: In this task, you are given a string of characters. You need to remove duplicate characters from the string if any, and return the resulting string.
PROBLEM: jahTEjtKeQFovsaqPtcjuJdRKkQL
SOLUTION: jahTEtKeQFovsqPcuJdRkL
PROBLEM: ikHaLEAdQxTpeFsdinttvMaceN
SOLUTION: ikHaLEAdQxTpeFsntvMcN
PROBLEM: yx... | yxTlQSKsXczwVbftmDnudMZ
| task1316_remove_duplicates_string | NIv2 | fs_opt | 8 | train |
In this task, you are given a string of characters. You need to remove duplicate characters from the string if any, and return the resulting string.
Q: PWCZyDfWSclWzumLWJJIFSxDMUGR
A: PWCZyDfSclzumLJIFxMUGR
****
Q: QyYdHTVupfGnwJLOYhBhifYIjPSd
A: QyYdHTVupfGnwJLOhBiIjPS
****
Q: jSaIWbdMCplOzSWMyxtOHQDc
A: | jSaIWbdMCplOzyxtHQDc
****
| task1316_remove_duplicates_string | NIv2 | fs_opt | 4 | test |
Instructions: In this task, you are given a string of characters. You need to remove duplicate characters from the string if any, and return the resulting string.
Input: OWsvUKqZcWjNqJfyhgJkVKMgydE
Output: | OWsvUKqZcjNJfyhgkVMdE | task1316_remove_duplicates_string | NIv2 | zs_opt | 3 | validation |
You will see a sentence and a given pronoun. Answer with the word in the sentence to which the pronoun is referring.
Ex Input:
text: the father carried the sleeping boy in his bassinet.; pronoun: his
Ex Output:
the boy
Ex Input:
text: carol believed that rebecca regretted that she had stolen the watch.; pronoun: sh... | my father
| task648_answer_generation | NIv2 | fs_opt | 1 | train |
You will see a sentence and a given pronoun. Answer with the word in the sentence to which the pronoun is referring.
Example: this book introduced shakespeare to ovid; it was a fine selection of his writing.
Example solution: his writing
Example explanation: in this statement the pronoun is his and his writing is refer... | Solution: bill | task648_answer_generation | NIv2 | fs_opt | 5 | train |
Definition: You will see a sentence and a given pronoun. Answer with the word in the sentence to which the pronoun is referring.
Input: text: i used an old rag to clean the knife, and then i put it in the trash.; pronoun: it
Output: | the rag | task648_answer_generation | NIv2 | zs_opt | 2 | train |
You will see a sentence and a given pronoun. Answer with the word in the sentence to which the pronoun is referring.
Q: text: fred watched tv while george went out to buy groceries. after an hour he got back.; pronoun: he
A: | george | task648_answer_generation | NIv2 | zs_opt | 4 | train |
You will see a sentence and a given pronoun. Answer with the word in the sentence to which the pronoun is referring.
Let me give you an example: this book introduced shakespeare to ovid; it was a fine selection of his writing.
The answer to this example can be: his writing
Here is why: in this statement the pronoun is... | carl | task648_answer_generation | NIv2 | fs_opt | 8 | train |
You will be given a definition of a task first, then some input of the task.
You will see a sentence and a given pronoun. Answer with the word in the sentence to which the pronoun is referring.
text: the police arrested all of the gang members. they were trying to run the drug trade in the neighborhood.; pronoun: they... | the gang members | task648_answer_generation | NIv2 | zs_opt | 1 | train |
You will see a sentence and a given pronoun. Answer with the word in the sentence to which the pronoun is referring.
Example input: this book introduced shakespeare to ovid; it was a fine selection of his writing.
Example output: his writing
Example explanation: in this statement the pronoun is his and his writing is ... | the heavy book | task648_answer_generation | NIv2 | fs_opt | 3 | train |
You will be given a definition of a task first, then some input of the task.
You will see a sentence and a given pronoun. Answer with the word in the sentence to which the pronoun is referring.
text: ann asked mary what time the library closes, but she had forgotten.; pronoun: she
Output: | mary | task648_answer_generation | NIv2 | zs_opt | 1 | train |
Instructions: You will see a sentence and a given pronoun. Answer with the word in the sentence to which the pronoun is referring.
Input: text: sam goodman's biography of the spartan general xenophanes conveys a vivid sense of the difficulties he faced in his research.; pronoun: he
Output: | goodman | task648_answer_generation | NIv2 | zs_opt | 3 | test |
Teacher:You will see a sentence and a given pronoun. Answer with the word in the sentence to which the pronoun is referring.
Teacher: Now, understand the problem? Solve this instance: text: sara borrowed the book from the library because she needs it for an article she is working on. she writes it when she gets home fr... | the article | task648_answer_generation | NIv2 | zs_opt | 6 | validation |
Read the following conversation and answer the question. M: Are you going to the exhibition in Sydney next week, Ellen? W: Well, I was planning to, but I haven't been able to reserve a hotel room. M: Have you tried the Hillsboro Hotel? They might still have space. And it's not too far from the exhibition hall. Ques... | By taxi. | dream_read_the_following_conversation_and_answer_the_question | P3 | fs_opt | 9 | train |
Given the question: Read the following conversation and answer the question. W: I haven't studied much French this week at all. M: Why worry? We have a vacation coming up, soon you'll have lots of time. Question: What does the man mean? - They're going to France for a vacation. - The woman doesn't need to study n... | The woman doesn't need to study now. | dream_read_the_following_conversation_and_answer_the_question | P3 | zs_opt | 6 | train |
Read the following conversation and answer the question. W: I was amazed when I heard Tony played piano so expertly! From the way he talked, I thought he was just starting his lessons. M: Oh, no! That's the way he always talks! Question: What can we infer about Tony from the conversation? - He has just started to ... | At 9:00.
------ | dream_read_the_following_conversation_and_answer_the_question | P3 | fs_opt | 5 | train |
Please answer the following question: Read the following conversation and answer the question. F: I think a businessman should be good-looking. M: No, I don't agree. Question: What does the woman think a businessman should be? - Wen-mannered. - Good-looking. - Good-humoured.
Answer: | Good-looking. | dream_read_the_following_conversation_and_answer_the_question | P3 | zs_noopt | 9 | train |
Read the following conversation and answer the question. Woman: Hey, how are you doing? Man: Uh, I guess okay ... kind of. Woman: Yeah, Mom said Daniel isn't doing so well. What's going on? Man: Well, uh, for some reason I always thought raising kids would be a lot easier than it is. Woman: Yeah, I know. Tell me a... | A: About the weather. | dream_read_the_following_conversation_and_answer_the_question | P3 | fs_opt | 2 | train |
Read the following conversation and answer the question. W: Tom, wake up! It's almost seven o'clock. M: Oh, morning, Mom. Did the alarm clock ring? W: Yes, it did. M: But I didn't hear it at all. W: What time did you set it for last night? M: Six o'clock. W: Hurry up, or you'll be late for school. Are you feelin... | She celebrated a festival. | dream_read_the_following_conversation_and_answer_the_question | P3 | fs_opt | 0 | train |
Question: Read the following conversation and answer the question. M: It's a vicious circle, really. It takes me the best part of an hour to get here in the morning, so I honestly never have time for breakfast. W: But you should always have something. According to nutrition experts, it's the most important meal of th... | Try to find a house. | dream_read_the_following_conversation_and_answer_the_question | P3 | fs_opt | 3 | train |
Question: Read the following conversation and answer the question. M: What do you want to make for dinner? W: I think I will make some steaks for dinner. M: Then we have to buy some steaks. Don't you think it's a little bit expensive? W: It is a little expensive but it's cheaper than having steaks in a restaurant. ... | A store. | dream_read_the_following_conversation_and_answer_the_question | P3 | zs_opt | 4 | train |
(Question)
Read the following conversation and answer the question. W: Could you tell me the time of the last plane to Hong Kong this evening? M: There's one at 10:15, but it's fully booked, I think. W: Then the time of the first plane tomorrow morning? M: The first plane leaves at 8:15. W: Can you tell me when it... | The weather. | dream_read_the_following_conversation_and_answer_the_question | P3 | fs_opt | 6 | test |
Question: Read the following conversation and answer the question. News Reporter: Hello. This is James Goodfellow from Channel 4 news. Today, we are interviewing Sarah Roberts, the star of the new movie, Zombies on Mars Part 4. Sarah, uh, thanks for joining us. Sarah: You're welcome, Jimmy. News Reporter: It's, uh, ... | broke up with him for some reason | dream_read_the_following_conversation_and_answer_the_question | P3 | fs_opt | 3 | validation |
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