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
values |
|---|---|---|---|---|---|---|
TASK DEFINITION: You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
PROBLEM: who is the director for Arthur Christmas?
SOLUTION: Barry Cook, Sarah Smith
PROBLEM: what are some words that d... | unheard of
| task615_moviesqa_answer_generation | NIv2 | fs_opt | 8 | train |
Definition: You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
Input: what year was the movie Ballad of a Soldier released?
Output: | 1959 | task615_moviesqa_answer_generation | NIv2 | zs_opt | 2 | train |
Detailed Instructions: You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
Problem:what was the release date of the movie Molière?
Solution: | 1978 | task615_moviesqa_answer_generation | NIv2 | zs_opt | 8 | train |
Q: You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
what words describe The Sound and the Fury?
A: | based on a book, william faulkner | task615_moviesqa_answer_generation | NIv2 | zs_opt | 7 | train |
Detailed Instructions: You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
Q: what genre does Hell fall under?
A: | Thriller, Sci-Fi, Horror | task615_moviesqa_answer_generation | NIv2 | zs_opt | 9 | train |
Detailed Instructions: You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
See one example below:
Problem: what kind of film is Best Seller?
Solution: crime
Explanation: The answer is correct ... | highly watched | task615_moviesqa_answer_generation | NIv2 | fs_opt | 4 | train |
You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
One example is below.
Q: what kind of film is Best Seller?
A: crime
Rationale: The answer is correct because crime genre movie is among best... | John Forte | task615_moviesqa_answer_generation | NIv2 | fs_opt | 9 | train |
Q: You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
what is the genre of the movie Escape to Athena?
A: | Comedy, Action, Adventure | task615_moviesqa_answer_generation | NIv2 | zs_opt | 7 | train |
You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
--------
Question: what does Matt McKenna star in?
Answer: Igor
Question: when was the film Challenge to Lassie released?
Answer: 1949
... | Samuel Fuller, John Brophy
| task615_moviesqa_answer_generation | NIv2 | fs_opt | 7 | test |
Detailed Instructions: You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
Q: who directed The Six Million Dollar Man?
A: | Richard Irving | task615_moviesqa_answer_generation | NIv2 | zs_opt | 9 | validation |
TASK DEFINITION: You are given a request sent by a user in a human and computer dialogue. Your task is to generate a prediction of what the requester is actually trying to do. The input is a sentence written by the human user, trying to achieve certain objective through this human computer interaction, and the output s... | I am looking for flame graphics to use on a website.
| task1713_convai3_sentence_generation | NIv2 | fs_opt | 8 | train |
instruction:
You are given a request sent by a user in a human and computer dialogue. Your task is to generate a prediction of what the requester is actually trying to do. The input is a sentence written by the human user, trying to achieve certain objective through this human computer interaction, and the output shoul... | What specific health problems arise from exposure to asbestos?
| task1713_convai3_sentence_generation | NIv2 | fs_opt | 9 | train |
Detailed Instructions: You are given a request sent by a user in a human and computer dialogue. Your task is to generate a prediction of what the requester is actually trying to do. The input is a sentence written by the human user, trying to achieve certain objective through this human computer interaction, and the ou... | Which drugs are commonly used to treat the different stages of schizophrenia? | task1713_convai3_sentence_generation | NIv2 | zs_opt | 8 | train |
You are given a request sent by a user in a human and computer dialogue. Your task is to generate a prediction of what the requester is actually trying to do. The input is a sentence written by the human user, trying to achieve certain objective through this human computer interaction, and the output should be a senten... | Find information on the USS Yorktown, an aircraft carrier that is part of the museum exhibit at the Patriots Point museum in Charleston Harbor, SC. | task1713_convai3_sentence_generation | NIv2 | zs_opt | 0 | train |
Given the task definition and input, reply with output. You are given a request sent by a user in a human and computer dialogue. Your task is to generate a prediction of what the requester is actually trying to do. The input is a sentence written by the human user, trying to achieve certain objective through this human... | Find information about tornadoes, what causes them, and where they occur. | task1713_convai3_sentence_generation | NIv2 | zs_opt | 5 | train |
You are given a request sent by a user in a human and computer dialogue. Your task is to generate a prediction of what the requester is actually trying to do. The input is a sentence written by the human user, trying to achieve certain objective through this human computer interaction, and the output should be a senten... | I am looking for the history of and a summary of the work performed at the Hawaiian Volcano Observatories.
| task1713_convai3_sentence_generation | NIv2 | fs_opt | 7 | train |
Detailed Instructions: You are given a request sent by a user in a human and computer dialogue. Your task is to generate a prediction of what the requester is actually trying to do. The input is a sentence written by the human user, trying to achieve certain objective through this human computer interaction, and the ou... | Find information about the Pink Floyd album, \"The Wall\" | task1713_convai3_sentence_generation | NIv2 | zs_opt | 9 | train |
You are given a request sent by a user in a human and computer dialogue. Your task is to generate a prediction of what the requester is actually trying to do. The input is a sentence written by the human user, trying to achieve certain objective through this human computer interaction, and the output should be a senten... | What are the best places to find morel mushrooms growing?
| task1713_convai3_sentence_generation | NIv2 | fs_opt | 1 | train |
You are given a request sent by a user in a human and computer dialogue. Your task is to generate a prediction of what the requester is actually trying to do. The input is a sentence written by the human user, trying to achieve certain objective through this human computer interaction, and the output should be a senten... | Find information and reviews about The Secret Garden book by Frances Hodgson Burnett, as well as movies and the musical based on it. | task1713_convai3_sentence_generation | NIv2 | zs_opt | 4 | test |
You are given a request sent by a user in a human and computer dialogue. Your task is to generate a prediction of what the requester is actually trying to do. The input is a sentence written by the human user, trying to achieve certain objective through this human computer interaction, and the output should be a senten... | Output: Find information on air travel, airports, and airline companies.
| task1713_convai3_sentence_generation | NIv2 | fs_opt | 2 | validation |
In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the gendered pronouns in the text and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or unidentifiable.
Q: Sentence: ... | Unidentifiable | task351_winomt_classification_gender_identifiability_anti | NIv2 | zs_opt | 4 | train |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the gendered pronouns in the text and the other's gender is unidentifiable. You are expected to return whether t... | Identifiable | task351_winomt_classification_gender_identifiability_anti | NIv2 | fs_opt | 1 | train |
In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the gendered pronouns in the text and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or unidentifiable.
Example: Sent... | Solution: Unidentifiable | task351_winomt_classification_gender_identifiability_anti | NIv2 | fs_opt | 5 | train |
In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the gendered pronouns in the text and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or unidentifiable.
Q: Sentence: ... | Identifiable | task351_winomt_classification_gender_identifiability_anti | NIv2 | zs_opt | 4 | train |
In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the gendered pronouns in the text and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or unidentifiable.
One example i... | Unidentifiable | task351_winomt_classification_gender_identifiability_anti | NIv2 | fs_opt | 9 | train |
In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the gendered pronouns in the text and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or unidentifiable.
Sentence: Th... | Identifiable | task351_winomt_classification_gender_identifiability_anti | NIv2 | zs_opt | 0 | 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 and a profession. The sentence mentions two professions: one's gender is identifiable using the gendered pronouns in the text and the other's gender is unidentifiable. You are expected to return whether t... | Identifiable | task351_winomt_classification_gender_identifiability_anti | NIv2 | zs_opt | 1 | train |
In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the gendered pronouns in the text and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or unidentifiable.
--------
Ques... | Unidentifiable
| task351_winomt_classification_gender_identifiability_anti | NIv2 | fs_opt | 7 | train |
Instructions: In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the gendered pronouns in the text and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or unidentifiable.... | Identifiable | task351_winomt_classification_gender_identifiability_anti | NIv2 | zs_opt | 3 | test |
Q: In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the gendered pronouns in the text and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or unidentifiable.
Sentence: ... | Identifiable | task351_winomt_classification_gender_identifiability_anti | NIv2 | zs_opt | 7 | validation |
Definition: In this task, you will be given sentences in which your task is to recognize the name of the drug or medicine. Drugs are substances that change a person's mental or physical state. They can affect how your brain works, how you feel and behave, your understanding, and your senses. Although there might be sev... | Alprazolam | task1447_drug_extraction_ade | NIv2 | zs_opt | 2 | train |
In this task, you will be given sentences in which your task is to recognize the name of the drug or medicine. Drugs are substances that change a person's mental or physical state. They can affect how your brain works, how you feel and behave, your understanding, and your senses. Although there might be several correct... | rifampin | task1447_drug_extraction_ade | NIv2 | fs_opt | 6 | train |
Q: In this task, you will be given sentences in which your task is to recognize the name of the drug or medicine. Drugs are substances that change a person's mental or physical state. They can affect how your brain works, how you feel and behave, your understanding, and your senses. Although there might be several corr... | amphotericin B | task1447_drug_extraction_ade | NIv2 | zs_opt | 7 | train |
In this task, you will be given sentences in which your task is to recognize the name of the drug or medicine. Drugs are substances that change a person's mental or physical state. They can affect how your brain works, how you feel and behave, your understanding, and your senses. Although there might be several correct... | cyclofenil | task1447_drug_extraction_ade | NIv2 | zs_opt | 4 | train |
In this task, you will be given sentences in which your task is to recognize the name of the drug or medicine. Drugs are substances that change a person's mental or physical state. They can affect how your brain works, how you feel and behave, your understanding, and your senses. Although there might be several correct... | glyburide
| task1447_drug_extraction_ade | NIv2 | fs_opt | 7 | train |
In this task, you will be given sentences in which your task is to recognize the name of the drug or medicine. Drugs are substances that change a person's mental or physical state. They can affect how your brain works, how you feel and behave, your understanding, and your senses. Although there might be several correct... | 5-fluorouracil | task1447_drug_extraction_ade | NIv2 | zs_opt | 4 | train |
In this task, you will be given sentences in which your task is to recognize the name of the drug or medicine. Drugs are substances that change a person's mental or physical state. They can affect how your brain works, how you feel and behave, your understanding, and your senses. Although there might be several correct... | pyridostigmine | task1447_drug_extraction_ade | NIv2 | fs_opt | 6 | train |
Definition: In this task, you will be given sentences in which your task is to recognize the name of the drug or medicine. Drugs are substances that change a person's mental or physical state. They can affect how your brain works, how you feel and behave, your understanding, and your senses. Although there might be sev... | rituximab | task1447_drug_extraction_ade | NIv2 | zs_opt | 2 | train |
In this task, you will be given sentences in which your task is to recognize the name of the drug or medicine. Drugs are substances that change a person's mental or physical state. They can affect how your brain works, how you feel and behave, your understanding, and your senses. Although there might be several correct... | L-asparaginase | task1447_drug_extraction_ade | NIv2 | zs_opt | 0 | test |
In this task, you will be given sentences in which your task is to recognize the name of the drug or medicine. Drugs are substances that change a person's mental or physical state. They can affect how your brain works, how you feel and behave, your understanding, and your senses. Although there might be several correct... | Solution: propylthiouracil | task1447_drug_extraction_ade | NIv2 | fs_opt | 5 | validation |
Given the task definition and input, reply with output. In this task, you're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the given review and its summary match, otherwise generate "False".
Rev... | True | task1309_amazonreview_summary_classification | NIv2 | zs_opt | 5 | train |
In this task, you're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the given review and its summary match, otherwise generate "False".
Example input: Review: My cat won't touch these. My dog, ho... | True | task1309_amazonreview_summary_classification | NIv2 | fs_opt | 3 | train |
Detailed Instructions: In this task, you're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the given review and its summary match, otherwise generate "False".
See one example below:
Problem: Revie... | False | task1309_amazonreview_summary_classification | NIv2 | fs_opt | 4 | train |
Detailed Instructions: In this task, you're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the given review and its summary match, otherwise generate "False".
See one example below:
Problem: Revie... | True | task1309_amazonreview_summary_classification | NIv2 | fs_opt | 4 | train |
In this task, you're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the given review and its summary match, otherwise generate "False".
Example: Review: My cat won't touch these. My dog, however, ... | Solution: False | task1309_amazonreview_summary_classification | NIv2 | fs_opt | 5 | train |
In this task, you're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the given review and its summary match, otherwise generate "False".
Q: Reviews: If I ever saw a pure piece of Junk, this Fitbit... | False
****
| task1309_amazonreview_summary_classification | NIv2 | fs_opt | 4 | train |
In this task, you're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the given review and its summary match, otherwise generate "False".
One example: Review: My cat won't touch these. My dog, howev... | True | task1309_amazonreview_summary_classification | NIv2 | fs_opt | 6 | train |
Given the task definition, example input & output, solve the new input case.
In this task, you're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the given review and its summary match, otherwise g... | False | task1309_amazonreview_summary_classification | NIv2 | fs_opt | 1 | train |
Detailed Instructions: In this task, you're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the given review and its summary match, otherwise generate "False".
Q: Reviews: Would be great if it work... | False | task1309_amazonreview_summary_classification | NIv2 | zs_opt | 9 | test |
Detailed Instructions: In this task, you're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the given review and its summary match, otherwise generate "False".
Q: Reviews: They work, but the prong ... | False | task1309_amazonreview_summary_classification | NIv2 | zs_opt | 9 | validation |
Question: Mike is a physician who treats HIV-infected patients. Today, he is seeing two patients, patient A and patient B. Patient A is infected with HIV, but patient B is not infected with HIV. Mike is trying to figure out how HIV-infected patient is different from the patient who is not infected with HIV. Given the ... | patient A | ropes_prompt_bottom_no_hint | P3 | zs_opt | 4 | train |
[Q]: Two farmers had neighboring parcels of land. Bob had a nice parcel of old growth forest, while the other farmer, named Bill , had a similar sized parcel covered in grasslands. Given the paragraph above, please answer correctly the following question: Which farmer observed increased leaching of weathering produc... | decrease | ropes_prompt_bottom_no_hint | P3 | fs_opt | 6 | train |
[Q]: John wanted to do a thought experiment. To that end, he started his journey under the full moonlight on Earth. He labeled that as time A. Then he entered his living room. He labeled that as time B. Next he traveled to Saturn. He labeled that as time C. After that, he traveled to Pluto. He labeled that as time D. T... | Clarence | ropes_prompt_bottom_no_hint | P3 | fs_opt | 6 | train |
Two old friends Mary and Ann lived thousands of miles away. Mary lived on the Big Island of Hawaii, while Ann lived in Boston. Mary visited Boston, while Ann has never been to Hawaii. Given the paragraph above, please answer correctly the following question: Which friend lives far away from Lanai island?
----
Answe... | Margaret | ropes_prompt_bottom_no_hint | P3 | fs_opt | 0 | train |
A brother and sister are going to the doctor to get their physical done before the start of the school year. Jessica, the sister, and Mike, the brother, are both in the same grade in high school. Neither are having any issues, but are simply going as a precautionary measure in case there is something the doctor can fin... | at Bill's | ropes_prompt_bottom_no_hint | P3 | fs_opt | 1 | train |
Problem: Given the question: John and Mary were studying insects. John liked to study insects that never eat, while Mary decided to study insects that are very healthy eaters. Given the paragraph above, please answer correctly the following question: Which person studied less about locusts?
++++++++++++++++++++++++... | less | ropes_prompt_bottom_no_hint | P3 | fs_opt | 8 | train |
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. Given the paragraph above, please answer correctly the following question: Which friend believed that the Earth tends to achieve a stable state?
A: | Tim | ropes_prompt_bottom_no_hint | P3 | zs_opt | 2 | train |
Please answer this: Manny visited 2 countries. First he visited Australia, a country which respected the environment and produced zero air pollution, and New Zealand, a country which based its economy on burning fossil fuels and generated a lot of air pollution. Given the paragraph above, please answer correctly the f... | Robert | ropes_prompt_bottom_no_hint | P3 | fs_opt | 6 | train |
input: Please answer the following: Two oceans have divergent plate boundaries at the bottom of their floor. The Arctic ocean has a single dormant divergent plate, while the Pacific ocean has seven diverging tectonic plates under its waters. Given the paragraph above, please answer correctly the following question: ... | Bend | ropes_prompt_bottom_no_hint | P3 | fs_opt | 5 | test |
Given the question: Two lakes had been stocked with fish two years before.Blue lake had an abundant fish stock because nobody fished there, but Green lake was open for fishing. Blue lake had some pollution, cannibalism and disease problems. Given the paragraph above, please answer correctly the following question: W... | Green lake | ropes_prompt_bottom_no_hint | P3 | zs_noopt | 6 | validation |
Detailed Instructions: Determine whether there has been any questions asked by the speaker in the dialogue or not. If there has been a question in the dialogue then the output Yes otherwise output No.
Problem:Hi , sorry to have kept you waiting . That's all right . How are you ? Fine , and you ?
Solution: | Yes | task932_dailydialog_classification | NIv2 | zs_opt | 8 | train |
Part 1. Definition
Determine whether there has been any questions asked by the speaker in the dialogue or not. If there has been a question in the dialogue then the output Yes otherwise output No.
Part 2. Example
Are things still going badly with your houseguest ? Getting worse . Now he ’ s eating me out of house and ... | No | task932_dailydialog_classification | NIv2 | fs_opt | 7 | train |
Determine whether there has been any questions asked by the speaker in the dialogue or not. If there has been a question in the dialogue then the output Yes otherwise output No.
Hello , is John in ? No , can I take a message ? No , I'll call back later . All right . | Yes | task932_dailydialog_classification | NIv2 | zs_opt | 0 | train |
Determine whether there has been any questions asked by the speaker in the dialogue or not. If there has been a question in the dialogue then the output Yes otherwise output No.
One example is below.
Q: Are things still going badly with your houseguest ? Getting worse . Now he ’ s eating me out of house and home . I ’... | No | task932_dailydialog_classification | NIv2 | fs_opt | 9 | train |
Given the task definition and input, reply with output. Determine whether there has been any questions asked by the speaker in the dialogue or not. If there has been a question in the dialogue then the output Yes otherwise output No.
Nani Book Store . How can I help you ? Do you have the ' The man and the Sea ' by Er... | Yes | task932_dailydialog_classification | NIv2 | zs_opt | 5 | train |
Given the task definition and input, reply with output. Determine whether there has been any questions asked by the speaker in the dialogue or not. If there has been a question in the dialogue then the output Yes otherwise output No.
We're broke . I can't believe it 。
| No | task932_dailydialog_classification | NIv2 | zs_opt | 5 | train |
Determine whether there has been any questions asked by the speaker in the dialogue or not. If there has been a question in the dialogue then the output Yes otherwise output No.
--------
Question: Are you going to come home late tonight ? Yes , I've got to work overtime .
Answer: Yes
Question: Can I have the check... | Yes
| task932_dailydialog_classification | NIv2 | fs_opt | 7 | train |
Instructions: Determine whether there has been any questions asked by the speaker in the dialogue or not. If there has been a question in the dialogue then the output Yes otherwise output No.
Input: Shall we start decorating the bedroom ? I've already started . When ? This afternoon .
Output: | Yes | task932_dailydialog_classification | NIv2 | zs_opt | 3 | train |
Q: Determine whether there has been any questions asked by the speaker in the dialogue or not. If there has been a question in the dialogue then the output Yes otherwise output No.
You stink ! I'll go take a shower .
A: | No | task932_dailydialog_classification | NIv2 | zs_opt | 7 | test |
Definition: Determine whether there has been any questions asked by the speaker in the dialogue or not. If there has been a question in the dialogue then the output Yes otherwise output No.
Input: This skirt is too tight . I would like to return it please . Do I need to go to the customer's service desk ? I can help y... | Yes | task932_dailydialog_classification | NIv2 | zs_opt | 2 | validation |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a sentence in the Japanese and Filipino language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise gene... | Yes | task1120_alt_ja_fil_answer_generation | NIv2 | fs_opt | 0 | train |
Given a sentence in the Japanese and Filipino language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Example Input: Japanese: 「スーパーマーケットからの食物、特にバ、ナンディ、シガトカ、ラキラキの町からの食物がないか気を付けて下さい。」
Filipino: "Magbantay... | Yes
| task1120_alt_ja_fil_answer_generation | NIv2 | fs_opt | 3 | train |
Given a sentence in the Japanese and Filipino language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
[Q]: Japanese: 彼の税金と国の社会的準備に対する支出削減計画の効果についてはまだ説明されていない。
Filipino: Ang epekto ng kanyang buwis at gum... | No
| task1120_alt_ja_fil_answer_generation | NIv2 | fs_opt | 5 | train |
Given the task definition and input, reply with output. Given a sentence in the Japanese and Filipino language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Japanese: この先50年の人口増加に対応できるだけの十分な土地、水そして食料生産力はあ... | Yes | task1120_alt_ja_fil_answer_generation | NIv2 | zs_opt | 5 | train |
Given a sentence in the Japanese and Filipino language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Q: Japanese: 時と共に、市民は毎日のようにより多くの女子スポーツに触れ、おそらくこれらの女子スポーツに対して同じく愛着を持つようになるでしょう。
Filipino: Sa darating n... | Yes | task1120_alt_ja_fil_answer_generation | NIv2 | zs_opt | 4 | train |
Given a sentence in the Japanese and Filipino language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Example: Japanese: 詳細は昨日UTC17時30分、英国議会でイギリスのルス・ケリー運輸大臣によって伝えられた。
Filipino: Ang mga detalye ay ibinigay... | Solution: No | task1120_alt_ja_fil_answer_generation | NIv2 | fs_opt | 5 | train |
Detailed Instructions: Given a sentence in the Japanese and Filipino language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Problem:Japanese: インドのテレビやラジオによると、155人が死亡し、327人が負傷した。
Filipino: Sinabi ng mga o... | No | task1120_alt_ja_fil_answer_generation | NIv2 | zs_opt | 8 | train |
You will be given a definition of a task first, then some input of the task.
Given a sentence in the Japanese and Filipino language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Japanese: 2008年、リバタリアン党は45... | Yes | task1120_alt_ja_fil_answer_generation | NIv2 | zs_opt | 1 | train |
Given a sentence in the Japanese and Filipino language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Input: Consider Input: Japanese: ロシア・トゥデイTVは、もしジャーナリストの不正の証拠があれば、ロシア政府は国際メディアに対して名誉毀損で訴訟を起こすつもりだと伝えた。
... | Output: Yes
| task1120_alt_ja_fil_answer_generation | NIv2 | fs_opt | 2 | test |
Given a sentence in the Japanese and Filipino language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
One example: Japanese: 詳細は昨日UTC17時30分、英国議会でイギリスのルス・ケリー運輸大臣によって伝えられた。
Filipino: Ang mga detalye ay ibin... | Yes | task1120_alt_ja_fil_answer_generation | NIv2 | fs_opt | 6 | validation |
A text is given in Gujarati. Translate it from the Gujarati language to the Tamil language. The translation must not omit or add information to the original sentence.
Q: மாலத்தீவு அதிபர் இந்தியாவிற்கு வருகை தந்த போது இந்த ஒப்பந்தம் கையெழுத்தாகியது.
A: ભારત અને માલદીવ લાંબા સમયની અને પારંપરિક મિત્રતા ધરાવે છે.
****
Q:... | આજે જ્યારે વિશ્વ અનેક પડકારોમાંથી પસાર થઇ રહ્યું છે ત્યારે માનવતા સાથે જોડાયેલ એક મહત્વના વિષય પર આટલા દેશોનું એકઠા થવું, તેના પર મનન ચિંતન કરવું એ પોતાનામાં જ એક અભૂતપૂર્વ ઘટના છે.
****
| task1064_pib_translation_tamil_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 Tamil language. The translation must not omit or add information to the original sentence.
எம்ஐஐடி-யை அமைப்பதற்கான புரிந்துணர்வு உடன்படிக்கையை நீட்டிப்பதற்கு கடித பரி... | એમઆઇઆઇટીની સ્થાપના પર એમઓયુ લંબાવવા બદલ એક્સચેન્જ ઓફ લેટર | task1064_pib_translation_tamil_gujarati | NIv2 | zs_opt | 1 | train |
Given the task definition and input, reply with output. A text is given in Gujarati. Translate it from the Gujarati language to the Tamil language. The translation must not omit or add information to the original sentence.
வாகன ஓட்டுனர் உரிமம் பெறுவதற்கான குறைந்தபட்ச கல்வித்தகுதியை நீக்க மத்திய சாலைப் போக்குவரத்து மற்... | માર્ગ પરિવહન અને રાજમાર્ગ મંત્રાલયે પરિવહન વાહનોના ડ્રાઇવરો માટે આવશ્યક લઘુતમ શૈક્ષણિક લાયકાત નાબૂદ કરી | task1064_pib_translation_tamil_gujarati | NIv2 | zs_opt | 5 | train |
A text is given in Gujarati. Translate it from the Gujarati language to the Tamil language. The translation must not omit or add information to the original sentence.
Ex Input:
இதுபற்றி வினைஸ் சர்வதேச திரைப்பட விழா இயக்குநர் அல்பெர்டோ பார்பெரா கூறுகையில், பையென்னேல் கல்லூரி சினிமா தலைப்பில் 4 திரைப்படங்களை திரையிட, வி... | મારા વ્હાલા દેશવાસીઓ હમણાં જ લોકસભા, રાજ્યસભાના સત્ર પુરા થયા છે. તમે જોયું હશે કે સદન ખૂબ સારી રીતે ચાલ્યું અને એક રીતે સંસદના આ સત્રો સંપૂર્ણ રીતે સામાજિક ન્યાયને સમર્પિત હતા.
| task1064_pib_translation_tamil_gujarati | NIv2 | fs_opt | 1 | train |
A text is given in Gujarati. Translate it from the Gujarati language to the Tamil language. The translation must not omit or add information to the original sentence.
Ex Input:
தேசப்பிதா மகாத்மா காந்தியின் 150-வது ஆண்டு கொண்டாட்டங்களை இந்த ஆண்டு இந்திய குடிமக்களாகிய நாம் கொண்டாடி வருகின்றோம்.
Ex Output:
ભીમરાવ આંબેડક... | પત્રકારત્વની દુનિયા સાથે જોડાયેલા હતા.
| task1064_pib_translation_tamil_gujarati | NIv2 | fs_opt | 1 | train |
Detailed Instructions: A text is given in Gujarati. Translate it from the Gujarati language to the Tamil language. The translation must not omit or add information to the original sentence.
Q: நரேந்திர மோடி 2018 ஜூலை 12 அன்று, தேசிய ஊரக வாழ்வாதார இயக்க பயனாளிகளுடன் காணொலிக் காட்சி மூலம் நேரடியாக கலந்துரையாடுகிறார்.
A: | 12 જુલાઈ, 2018ના રોજ નેશનલ રૂરલ લાઈવલીહૂડ મિશનના લાભાર્થીઓ સાથે વીડિયો કોન્ફરન્સ દ્વારા સીધો સંવાદ કરશે. | task1064_pib_translation_tamil_gujarati | NIv2 | zs_opt | 9 | train |
Part 1. Definition
A text is given in Gujarati. Translate it from the Gujarati language to the Tamil language. The translation must not omit or add information to the original sentence.
Part 2. Example
நண்பர்களே, இன்று இந்தத் தருணத்தில், ஜம்மு - காஷ்மீர் மக்களின் பாதுகாப்புக்காக நிறுத்தப்பட்டுள்ள பாதுகாப்புப் படைகளைச் ... | 1,100 કરોડથી વધારેનું ભંડોળ મંજૂર કર્યું છે. | task1064_pib_translation_tamil_gujarati | NIv2 | fs_opt | 7 | train |
Q: A text is given in Gujarati. Translate it from the Gujarati language to the Tamil language. The translation must not omit or add information to the original sentence.
சதானந்த கவுடா
A: | સદાનંદ ગૌડા | task1064_pib_translation_tamil_gujarati | NIv2 | zs_opt | 7 | train |
A text is given in Gujarati. Translate it from the Gujarati language to the Tamil language. The translation must not omit or add information to the original sentence.
Example: நண்பர்களே, இன்று இந்தத் தருணத்தில், ஜம்மு - காஷ்மீர் மக்களின் பாதுகாப்புக்காக நிறுத்தப்பட்டுள்ள பாதுகாப்புப் படைகளைச் சேர்ந்த நமது நண்பர்களுக்கு... | Solution: જો પાંચ વર્ષમાં 0 વર્ષમાં જે થયું તેમાં આટલો મોટો કૂદકો લગાવ્યો, તો આવનારા પાંચ વર્ષમાં આપણે ફાઈવ ટ્રિલિયન ડોલર ઈકોનોમી બની શકીએ છીએ. | task1064_pib_translation_tamil_gujarati | NIv2 | fs_opt | 5 | test |
Teacher: A text is given in Gujarati. Translate it from the Gujarati language to the Tamil language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? If you are still confused, see the following example:
நண்பர்களே, இன்று இந்தத் தருணத்தில், ஜம்மு - காஷ்மீர்... | પ્રધાનમંત્રીએ રેલવે, માર્ગ ક્ષેત્રમાં આઠ મહત્ત્વપૂર્ણ માળખાગત સુવિધાની યોજનાઓની પ્રગતિની સમીક્ષા કરી હતી. | task1064_pib_translation_tamil_gujarati | NIv2 | fs_opt | 2 | validation |
instruction:
In this task, you're given a context passage, an answer, and a question. Your task is to classify whether the question for this answer is correct or not, based on the given context with commonsense reasoning about social situations. If its correct ,return "True" else "False".
question:
Context: Jan saw a r... | False
| task384_socialiqa_question_classification | NIv2 | fs_opt | 9 | train |
Detailed Instructions: In this task, you're given a context passage, an answer, and a question. Your task is to classify whether the question for this answer is correct or not, based on the given context with commonsense reasoning about social situations. If its correct ,return "True" else "False".
Problem:Context: Lee... | True | task384_socialiqa_question_classification | NIv2 | zs_opt | 8 | train |
In this task, you're given a context passage, an answer, and a question. Your task is to classify whether the question for this answer is correct or not, based on the given context with commonsense reasoning about social situations. If its correct ,return "True" else "False".
Q: Context: sasha made a good argument so a... | False | task384_socialiqa_question_classification | NIv2 | zs_opt | 4 | train |
Given the task definition, example input & output, solve the new input case.
In this task, you're given a context passage, an answer, and a question. Your task is to classify whether the question for this answer is correct or not, based on the given context with commonsense reasoning about social situations. If its cor... | False | task384_socialiqa_question_classification | NIv2 | fs_opt | 1 | train |
In this task, you're given a context passage, an answer, and a question. Your task is to classify whether the question for this answer is correct or not, based on the given context with commonsense reasoning about social situations. If its correct ,return "True" else "False".
Example Input: Context: After several days... | True
| task384_socialiqa_question_classification | NIv2 | fs_opt | 3 | train |
Detailed Instructions: In this task, you're given a context passage, an answer, and a question. Your task is to classify whether the question for this answer is correct or not, based on the given context with commonsense reasoning about social situations. If its correct ,return "True" else "False".
Q: Context: Remy rec... | True | task384_socialiqa_question_classification | NIv2 | zs_opt | 9 | train |
In this task, you're given a context passage, an answer, and a question. Your task is to classify whether the question for this answer is correct or not, based on the given context with commonsense reasoning about social situations. If its correct ,return "True" else "False".
Context: Carson had just gotten surgery an... | False
| task384_socialiqa_question_classification | NIv2 | fs_opt | 0 | train |
instruction:
In this task, you're given a context passage, an answer, and a question. Your task is to classify whether the question for this answer is correct or not, based on the given context with commonsense reasoning about social situations. If its correct ,return "True" else "False".
question:
Context: jesse final... | False
| task384_socialiqa_question_classification | NIv2 | fs_opt | 9 | train |
In this task, you're given a context passage, an answer, and a question. Your task is to classify whether the question for this answer is correct or not, based on the given context with commonsense reasoning about social situations. If its correct ,return "True" else "False".
Example input: Context: Tracy didn't go ho... | True | task384_socialiqa_question_classification | NIv2 | fs_opt | 3 | test |
Detailed Instructions: In this task, you're given a context passage, an answer, and a question. Your task is to classify whether the question for this answer is correct or not, based on the given context with commonsense reasoning about social situations. If its correct ,return "True" else "False".
Problem:Context: Ken... | True | task384_socialiqa_question_classification | NIv2 | zs_opt | 8 | validation |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.