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 |
|---|---|---|---|---|---|---|
Detailed Instructions: Given a sentence in the Japanese and Thai 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".
See one example below:
Problem: 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... | Yes | task1129_alt_ja_th_answer_generation | NIv2 | fs_opt | 4 | train |
Q: Given a sentence in the Japanese and Thai 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: ロサンゼルス・ギャラクシーの敗北によって彼らはプレイオフから除外され、シカゴ・ファイアはプレイオフの第一ラウンドでDCユナイテッドとプレイする。
Thai: บริษัทได้ขอหมา... | No | task1129_alt_ja_th_answer_generation | NIv2 | zs_opt | 7 | train |
instruction:
Given a sentence in the Japanese and Thai 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".
question:
Japanese: フィジーのNationalDisasterOfficeは、すべての観光客に更に悪くなる天候とまた来る可能性のある洪水に備え、まだ国にいるように勧告した... | Yes
| task1129_alt_ja_th_answer_generation | NIv2 | fs_opt | 9 | train |
Detailed Instructions: Given a sentence in the Japanese and Thai 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: カリフォルニア州の上院議員ジョセフ・ダン氏と学校関係者、環境専門家が、サンタアナで木曜日の夜、ケネディ小学校の父兄とタウンホールスタイルの会議を... | No | task1129_alt_ja_th_answer_generation | NIv2 | zs_opt | 9 | train |
Given a sentence in the Japanese and Thai 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".
Ex Input:
Japanese: 2つの訴訟がマンハッタンのニューヨーク州南部地区連邦地方裁判所と、ワシントンD.C.のコロンビア地区連邦地方裁判所に申し立てられた。元従業員は金銭的な被害と宗教的な差別のため... | No
| task1129_alt_ja_th_answer_generation | NIv2 | fs_opt | 1 | train |
Teacher: Given a sentence in the Japanese and Thai 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".
Teacher: Now, understand the problem? If you are still confused, see the following example:
Japanes... | Yes | task1129_alt_ja_th_answer_generation | NIv2 | fs_opt | 2 | train |
Teacher:Given a sentence in the Japanese and Thai 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".
Teacher: Now, understand the problem? Solve this instance: Japanese: 崩壊は昨日現地時刻で５時に起き、４階の建物が５メートルのがれき... | No | task1129_alt_ja_th_answer_generation | NIv2 | zs_opt | 6 | train |
Given a sentence in the Japanese and Thai 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".
Let me give you an 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。
Thai: รายละเอียดถูกเป... | No | task1129_alt_ja_th_answer_generation | NIv2 | fs_opt | 8 | train |
Given a sentence in the Japanese and Thai 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: GAOは意思決定プロセスにおいて、いくつかの異常を発見した。
Thai: GAO พบว่าความผิดปกติหลายอย่างในการขั้นตอนการตัดสินใจ | Yes | task1129_alt_ja_th_answer_generation | NIv2 | zs_opt | 0 | test |
Given a sentence in the Japanese and Thai 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: 首相のオフィスのメッセンジャーであるマイケル・ライアンはテレコムに極秘文書を漏らしたスパイとみられている。
Thai: ขณะที่ขบวนรถบรรทุกสินค้าอยู่บน... | Yes
| task1129_alt_ja_th_answer_generation | NIv2 | fs_opt | 5 | validation |
Given a sentence in English, provide an equivalent paraphrased version from the original that retains the same meaning.
--------
Question: The company was then acquired the St. Louis and Cairo Railroad , the narrow gauge .
Answer: The company then was the St. Louis and Cairo Railroad , which acquired narrow gauge .
... | Amish Mennonites from Galicia with Swiss descent settled in 1815 near Dubno .
| task770_pawsx_english_text_modification | NIv2 | fs_opt | 7 | train |
Definition: Given a sentence in English, provide an equivalent paraphrased version from the original that retains the same meaning.
Input: The leaves are generally 1.5-4 mm long and 0.2-0.7 mm wide .
Output: | The leaves are usually 1.5-4 mm long and 0.2-0.7 mm wide . | task770_pawsx_english_text_modification | NIv2 | zs_opt | 2 | train |
Definition: Given a sentence in English, provide an equivalent paraphrased version from the original that retains the same meaning.
Input: Pérez also practiced with Telemundo , where she anchored and produced an entertainment segment for Telemundo Internacional .
Output: | Pérez also interned with Telemundo where she produced and anchored an entertainment segment for Telemundo Internacional . | task770_pawsx_english_text_modification | NIv2 | zs_opt | 2 | train |
Q: Given a sentence in English, provide an equivalent paraphrased version from the original that retains the same meaning.
The music was composed by A. T. Ummer and lyrics was written by Koorkkancheri Sugathan and Poovachal Khader .
A: | The music was composed by A. T. Ummer and lyrics were written by Koorkkancheri Sugathan and Poovachal Khader . | task770_pawsx_english_text_modification | NIv2 | zs_opt | 7 | train |
Given a sentence in English, provide an equivalent paraphrased version from the original that retains the same meaning.
Example Input: When Patrick Logan arrives in Wisteria Lane , he runs over Nick .
Example Output: When Patrick Logan arrives to Wisteria Lane , he runs Nick over .
Example Input: Wollstonecraft arriv... | The old grammar school became the Upper School while the new building became the Lower School .
| task770_pawsx_english_text_modification | NIv2 | fs_opt | 3 | train |
Instructions: Given a sentence in English, provide an equivalent paraphrased version from the original that retains the same meaning.
Input: Previous editors include Michel Foucault , Emmanuel Le Roy Ladurie , Georges Dumézil , François Jacob , Jacques Le Goff , François Furet and Raymond Aron .
Output: | Past editors include Raymond Aron , Georges Dumézil , François Jacob , Michel Foucault , Emanuel Le Roy Ladurie , François Furet , and Jacques Le Goff . | task770_pawsx_english_text_modification | NIv2 | zs_opt | 3 | train |
Detailed Instructions: Given a sentence in English, provide an equivalent paraphrased version from the original that retains the same meaning.
Problem:Turing had an older brother , John Dermot Turing ( the father of Sir John , 12th Baronet of Turing Baronets ) .
Solution: | Turing had an elder brother , John Dermot Turing ( the father of Sir John , 12th Baronet of the Turing baronets ) . | task770_pawsx_english_text_modification | NIv2 | zs_opt | 8 | train |
Given a sentence in English, provide an equivalent paraphrased version from the original that retains the same meaning.
Example: The NBA season of 1975 -- 76 was the 30th season of the National Basketball Association .
Example solution: The 1975 -- 76 season of the National Basketball Association was the 30th season of... | Solution: On July 7 , 2011 , Russell was traded to the Columbus Blue Jackets for Kris Russell . He joined his brother Michael Blunden with the Blue Jackets organization . | task770_pawsx_english_text_modification | NIv2 | fs_opt | 5 | train |
Definition: Given a sentence in English, provide an equivalent paraphrased version from the original that retains the same meaning.
Input: Another series was played in Havana between the Cincinnati Reds and the Boston Red Sox .
Output: | In Havana , another series was played between Cincinnati Reds and the Boston Red Sox . | task770_pawsx_english_text_modification | NIv2 | zs_opt | 2 | test |
Given a sentence in English, provide an equivalent paraphrased version from the original that retains the same meaning.
Example: The NBA season of 1975 -- 76 was the 30th season of the National Basketball Association .
Example solution: The 1975 -- 76 season of the National Basketball Association was the 30th season of... | Solution: It is located next to the hamlet of Hickstead , to the west of Burgess Hill and adjacent to the main road A23 from London to Brighton . | task770_pawsx_english_text_modification | NIv2 | fs_opt | 5 | validation |
In this task, you are given an input list A. You need to extract and sort the unique digits used in the list in ascending order. Return -1 if there is no digit in the list.
Example Input: ['157', 'k', 'o', 'a', '279', 'g']
Example Output: 1, 2, 5, 7, 9
Example Input: ['211', 'v', 'a', '445', '185', '135', 'v', 'w', '... | 1, 3, 9
| task637_extract_and_sort_unique_digits_in_a_list | NIv2 | fs_opt | 3 | train |
In this task, you are given an input list A. You need to extract and sort the unique digits used in the list in ascending order. Return -1 if there is no digit in the list.
One example: ['q', '31', 'a', 'd', '53', '85', 'p', '77']
Solution is here: 1, 3, 5, 7, 8
Explanation: Here, the numbers in the list are '31', '53'... | 1, 2, 3, 4, 5, 6 | task637_extract_and_sort_unique_digits_in_a_list | NIv2 | fs_opt | 6 | train |
TASK DEFINITION: In this task, you are given an input list A. You need to extract and sort the unique digits used in the list in ascending order. Return -1 if there is no digit in the list.
PROBLEM: ['l', 'm', 'h', '87', '265', 'e', '415', '325', 'p', 'b', '385']
SOLUTION: 1, 2, 3, 4, 5, 6, 7, 8
PROBLEM: ['g', '169',... | -1
| task637_extract_and_sort_unique_digits_in_a_list | NIv2 | fs_opt | 8 | train |
Instructions: In this task, you are given an input list A. You need to extract and sort the unique digits used in the list in ascending order. Return -1 if there is no digit in the list.
Input: ['n', 'k', '409']
Output: | 0, 4, 9 | task637_extract_and_sort_unique_digits_in_a_list | NIv2 | zs_opt | 3 | train |
In this task, you are given an input list A. You need to extract and sort the unique digits used in the list in ascending order. Return -1 if there is no digit in the list.
[EX Q]: ['r', '273', 'h', '421', 'k', 'r', 'k', 't', 'x', 's', 'j']
[EX A]: 1, 2, 3, 4, 7
[EX Q]: ['255', '19', '335', '483', 'r', 'c', 'r', 'o',... | 1, 2, 3, 4, 5, 7, 8, 9
| task637_extract_and_sort_unique_digits_in_a_list | NIv2 | fs_opt | 6 | train |
Q: In this task, you are given an input list A. You need to extract and sort the unique digits used in the list in ascending order. Return -1 if there is no digit in the list.
['w', '439', 'b', 'w', 'w', 'z', '303', 'g', '165', '311']
A: | 0, 1, 3, 4, 5, 6, 9 | task637_extract_and_sort_unique_digits_in_a_list | NIv2 | zs_opt | 7 | train |
In this task, you are given an input list A. You need to extract and sort the unique digits used in the list in ascending order. Return -1 if there is no digit in the list.
[EX Q]: ['479', '205', 'e', 'c', '57', 'm', 'i', '33', 'f', '45', 'z']
[EX A]: 0, 2, 3, 4, 5, 7, 9
[EX Q]: ['z', '483', '285', 'e', 'm', '95', '4... | 0, 1, 2, 3, 4, 7, 8, 9
| task637_extract_and_sort_unique_digits_in_a_list | NIv2 | fs_opt | 6 | train |
TASK DEFINITION: In this task, you are given an input list A. You need to extract and sort the unique digits used in the list in ascending order. Return -1 if there is no digit in the list.
PROBLEM: ['177', '17', '205', '25', 'n', '359', 'b', 'f', '181', 'k', '169', '483', '473', 'h']
SOLUTION: 0, 1, 2, 3, 4, 5, 6, 7,... | 0, 1, 2, 3, 5, 7
| task637_extract_and_sort_unique_digits_in_a_list | NIv2 | fs_opt | 8 | train |
In this task, you are given an input list A. You need to extract and sort the unique digits used in the list in ascending order. Return -1 if there is no digit in the list.
One example is below.
Q: ['q', '31', 'a', 'd', '53', '85', 'p', '77']
A: 1, 3, 5, 7, 8
Rationale: Here, the numbers in the list are '31', '53', '85... | 1, 3, 4, 5, 6, 7 | task637_extract_and_sort_unique_digits_in_a_list | NIv2 | fs_opt | 9 | test |
You will be given a definition of a task first, then some input of the task.
In this task, you are given an input list A. You need to extract and sort the unique digits used in the list in ascending order. Return -1 if there is no digit in the list.
['s', '81']
Output: | 1, 8 | task637_extract_and_sort_unique_digits_in_a_list | NIv2 | zs_opt | 1 | validation |
Detailed Instructions: In this task, you are given a text from a post. Your task is to find all of the proper nouns and label them. The labels are <B-PER>, <I-PER> for persons; <B-ORG>, <I-ORG> for organizations; <B-LOC>, <I-LOC> for locations; and <B-MISC>, <I-MISC> for other nouns. The capital 'B' denotes the first w... | - The Bosnian <B-MISC> federation launches a common payment system on Friday . | task610_conllpp_ner | NIv2 | zs_opt | 9 | 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 text from a post. Your task is to find all of the proper nouns and label them. The labels are <B-PER>, <I-PER> for persons; <B-ORG>, <I-ORG> for organizations; <B-LOC>, ... | 3. Rohan <B-PER> Robinson <I-PER> ( Australia <B-LOC> ) 48.86 | task610_conllpp_ner | NIv2 | fs_opt | 0 | train |
Detailed Instructions: In this task, you are given a text from a post. Your task is to find all of the proper nouns and label them. The labels are <B-PER>, <I-PER> for persons; <B-ORG>, <I-ORG> for organizations; <B-LOC>, <I-LOC> for locations; and <B-MISC>, <I-MISC> for other nouns. The capital 'B' denotes the first w... | The 85-share industrial index lost 0.47 percent to 70,848.86 and the 15-share financial index rose by 0.55 percent to 55,929.89 . | task610_conllpp_ner | NIv2 | zs_opt | 9 | train |
In this task, you are given a text from a post. Your task is to find all of the proper nouns and label them. The labels are <B-PER>, <I-PER> for persons; <B-ORG>, <I-ORG> for organizations; <B-LOC>, <I-LOC> for locations; and <B-MISC>, <I-MISC> for other nouns. The capital 'B' denotes the first word of a proper noun ph... | People are rushing to the hospital as soon as the first symptoms appear , that 's why we have fewer deaths , " he told Reuters <B-ORG> by telephone from the town , 160 km ( 100 miles ) southeast of the Senegalese <B-MISC> capital Dakar <B-LOC> .
| task610_conllpp_ner | NIv2 | fs_opt | 1 | train |
In this task, you are given a text from a post. Your task is to find all of the proper nouns and label them. The labels are <B-PER>, <I-PER> for persons; <B-ORG>, <I-ORG> for organizations; <B-LOC>, <I-LOC> for locations; and <B-MISC>, <I-MISC> for other nouns. The capital 'B' denotes the first word of a proper noun ph... | One-year <B-MISC> funds were at six , 5-7/8 percent . | task610_conllpp_ner | NIv2 | zs_opt | 4 | train |
Definition: In this task, you are given a text from a post. Your task is to find all of the proper nouns and label them. The labels are <B-PER>, <I-PER> for persons; <B-ORG>, <I-ORG> for organizations; <B-LOC>, <I-LOC> for locations; and <B-MISC>, <I-MISC> for other nouns. The capital 'B' denotes the first word of a pr... | Hearts <B-ORG> - Dave <B-PER> McPherson <I-PER> ( 44th ) | task610_conllpp_ner | NIv2 | zs_opt | 2 | train |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a text from a post. Your task is to find all of the proper nouns and label them. The labels are <B-PER>, <I-PER> for persons; <B-ORG>, <I-ORG> for organizations; <B-LOC>, <I-LOC> for locations; and <B-MISC>, <I-MISC... | Nigeria <B-LOC> rights group says four academics arrested . | task610_conllpp_ner | NIv2 | zs_opt | 1 | train |
TASK DEFINITION: In this task, you are given a text from a post. Your task is to find all of the proper nouns and label them. The labels are <B-PER>, <I-PER> for persons; <B-ORG>, <I-ORG> for organizations; <B-LOC>, <I-LOC> for locations; and <B-MISC>, <I-MISC> for other nouns. The capital 'B' denotes the first word of... | German <B-MISC> first-time registrations of motor vehicles jumped 14.2 percent in July this year from the year-earlier period , the Federal <B-ORG> office <I-ORG> for <I-ORG> motor <I-ORG> vehicles <I-ORG> said on Thursday .
| task610_conllpp_ner | NIv2 | fs_opt | 8 | train |
In this task, you are given a text from a post. Your task is to find all of the proper nouns and label them. The labels are <B-PER>, <I-PER> for persons; <B-ORG>, <I-ORG> for organizations; <B-LOC>, <I-LOC> for locations; and <B-MISC>, <I-MISC> for other nouns. The capital 'B' denotes the first word of a proper noun ph... | 9. Worku <B-PER> Bekila <I-PER> ( Ethiopia <B-LOC> ) 28.42.23 | task610_conllpp_ner | NIv2 | fs_opt | 8 | test |
Instructions: In this task, you are given a text from a post. Your task is to find all of the proper nouns and label them. The labels are <B-PER>, <I-PER> for persons; <B-ORG>, <I-ORG> for organizations; <B-LOC>, <I-LOC> for locations; and <B-MISC>, <I-MISC> for other nouns. The capital 'B' denotes the first word of a ... | Many software developers apparently saw their crucial holiday season sales suffer last year because store shelves were jammed with blue-and-white boxes of Windows <B-MISC> 95 <I-MISC> , resulting in a shortage of space for seasonal products , said Ann <B-PER> Stephens <I-PER> , president of PC <B-ORG> Data <I-ORG> Inc ... | task610_conllpp_ner | NIv2 | zs_opt | 3 | validation |
In this task you are given a premise and two alternatives in Tamil. You must choose the alternative that is more plausibly the cause or effect of the situation described by the premise. The input format is "premise
(1)alternative_1(2)alternative_2", the output should either be "1" or "2" based on your judgment.
[EX Q]... | 1
| task1176_xcopa_commonsense_reasoning_ta | NIv2 | fs_opt | 6 | train |
In this task you are given a premise and two alternatives in Tamil. You must choose the alternative that is more plausibly the cause or effect of the situation described by the premise. The input format is "premise
(1)alternative_1(2)alternative_2", the output should either be "1" or "2" based on your judgment.
Example... | Solution: 1 | task1176_xcopa_commonsense_reasoning_ta | NIv2 | fs_opt | 5 | 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 premise and two alternatives in Tamil. You must choose the alternative that is more plausibly the cause or effect of the situation described by the premise. The input for... | 2 | task1176_xcopa_commonsense_reasoning_ta | NIv2 | fs_opt | 0 | train |
In this task you are given a premise and two alternatives in Tamil. You must choose the alternative that is more plausibly the cause or effect of the situation described by the premise. The input format is "premise
(1)alternative_1(2)alternative_2", the output should either be "1" or "2" based on your judgment.
Exampl... | 1 | task1176_xcopa_commonsense_reasoning_ta | NIv2 | fs_opt | 3 | train |
In this task you are given a premise and two alternatives in Tamil. You must choose the alternative that is more plausibly the cause or effect of the situation described by the premise. The input format is "premise
(1)alternative_1(2)alternative_2", the output should either be "1" or "2" based on your judgment.
Exampl... | 2
| task1176_xcopa_commonsense_reasoning_ta | NIv2 | fs_opt | 3 | train |
In this task you are given a premise and two alternatives in Tamil. You must choose the alternative that is more plausibly the cause or effect of the situation described by the premise. The input format is "premise
(1)alternative_1(2)alternative_2", the output should either be "1" or "2" based on your judgment.
-------... | 2
| task1176_xcopa_commonsense_reasoning_ta | NIv2 | fs_opt | 7 | train |
Detailed Instructions: In this task you are given a premise and two alternatives in Tamil. You must choose the alternative that is more plausibly the cause or effect of the situation described by the premise. The input format is "premise
(1)alternative_1(2)alternative_2", the output should either be "1" or "2" based on... | 2 | task1176_xcopa_commonsense_reasoning_ta | NIv2 | zs_opt | 9 | train |
In this task you are given a premise and two alternatives in Tamil. You must choose the alternative that is more plausibly the cause or effect of the situation described by the premise. The input format is "premise
(1)alternative_1(2)alternative_2", the output should either be "1" or "2" based on your judgment.
அந்த க... | 1
| task1176_xcopa_commonsense_reasoning_ta | NIv2 | fs_opt | 0 | train |
In this task you are given a premise and two alternatives in Tamil. You must choose the alternative that is more plausibly the cause or effect of the situation described by the premise. The input format is "premise
(1)alternative_1(2)alternative_2", the output should either be "1" or "2" based on your judgment.
[Q]: அ... | 1
| task1176_xcopa_commonsense_reasoning_ta | NIv2 | fs_opt | 5 | test |
instruction:
In this task you are given a premise and two alternatives in Tamil. You must choose the alternative that is more plausibly the cause or effect of the situation described by the premise. The input format is "premise
(1)alternative_1(2)alternative_2", the output should either be "1" or "2" based on your judg... | 1
| task1176_xcopa_commonsense_reasoning_ta | NIv2 | fs_opt | 9 | validation |
Detailed Instructions: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
See one example below:
Pro... | Threat | task322_jigsaw_classification_threat | NIv2 | fs_opt | 4 | train |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
Comment: There is no such thing as a natural ord... | Non-threat
| task322_jigsaw_classification_threat | NIv2 | fs_opt | 0 | train |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
One example is below.
Q: Comment: Enough already.... | Threat | task322_jigsaw_classification_threat | NIv2 | fs_opt | 9 | train |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
Example input: Comment: Enough already. Cut the... | Non-threat | task322_jigsaw_classification_threat | NIv2 | fs_opt | 3 | train |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not ... | Threat | task322_jigsaw_classification_threat | NIv2 | zs_opt | 1 | train |
Instructions: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
Input: Comment: Obama should sue Tr... | Non-threat | task322_jigsaw_classification_threat | NIv2 | zs_opt | 3 | train |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
Let me give you an example: Comment: Enough alre... | Non-threat | task322_jigsaw_classification_threat | NIv2 | fs_opt | 8 | train |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
[Q]: Comment: very ironic that Donkey Trump sudd... | Threat
| task322_jigsaw_classification_threat | NIv2 | fs_opt | 5 | train |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
Q: Comment: Gas them all.
A: Threat
****
Q: Com... | Non-threat
****
| task322_jigsaw_classification_threat | NIv2 | fs_opt | 4 | test |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
Example Input: Comment: Remember when Assange wa... | Threat
| task322_jigsaw_classification_threat | NIv2 | fs_opt | 3 | validation |
Detailed Instructions: Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
Q: 「これは安全手段を無視したことによる当然の結果だ」家族を代表する弁護士の1人は言った。
A: | "នេះគឺផលវិបាកមួយដែលដឹងទុកមុនមួយនៃការមិនយកចិត្តទុកវិធានការសុវត្ថិភាព" មេធាវីម្នាក់ដែលតំណាងគ្រួសារជាច្រើនបាននិយាយ។ | task1121_alt_ja_khm_translation | NIv2 | zs_opt | 9 | train |
Detailed Instructions: Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
See one example below:
Problem: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガルを下した。
Solution: អ៊ីតាលីបានឈ្នះ... | ទោះបីជាយ៉ាងណាក៏ដោយ ក្រុមបានរៀបចំធ្វើសាវនកម្មឡើងវិញហើយ និយាយថាព្រលានយន្តហោះទាំងពីរសូឡូនិងយ៉ុកយ៉ាហ្គាតានៅតែខុសច្បាប់។ | task1121_alt_ja_khm_translation | NIv2 | fs_opt | 4 | train |
Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
--------
Question: 爆発はバンコク北側ぎりぎりのノンタブリー県の交番で起きたと伝えられた。
Answer: ការផ្ទុះមួយត្រូវរាយការណ៍ថាកើតនៅប៉ុស្តិ៍បូលីសនៅខេត្តណុនថាបូរីខាងជើងនៃជាយក្រុងបាងកក។... | ត្រូវការឲ្យអ្នកជួយ" លោក Newsom បាននិយាយនៅលើទំព័រTwitter ផ្លូវការរបស់គាត់។
| task1121_alt_ja_khm_translation | NIv2 | fs_opt | 7 | train |
Given the task definition and input, reply with output. Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
1カロリーの食物にはざっと1リットルの水が要り、工業的に肉を1キロ生産するには10,000リットルの水が必要なのに比べて、1キロの穀物はたった500〜4000リットルしか必要とし... | របាយការណ៍បាននិយាយថា អាហារមួយកាឡូរីប្រើទឹកប្រហែល1លីត្រដើម្បីផលិត ធញ្ញជាតិមួយ គីឡូត្រូវការទឹកតែ 500ទៅ4,000លីត្រ បើប្រៀបធៀបទៅការផលិតសាច់ជាលក្ខណៈឧស្សាហកម្មដែលមួយគីឡូត្រូវការទឹក10,000លីត្រ។ | task1121_alt_ja_khm_translation | NIv2 | zs_opt | 5 | train |
You will be given a definition of a task first, then some input of the task.
Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
この法案は、選挙の年でさえ、アメリカ国民は共和党と民主党が一緒になって軍隊とその家族を支援するということを示している。
Output: | កញ្ចប់ថវិការនេះ បង្ហាញដល់ប្រជាជនអាមេរិកថា បើទោះបីជាក្នុងឆ្នាំបោះឆ្នោតក៏ដោយ គណបក្សសធារណៈរដ្ឋ និងប្រជាធិបតេយ្យ អាចរួបរួមគ្នាក្នុងការជួយគាំទ្រទាហានរបស់យើង និងគ្រួសាររបស់ពួកគេ។ | task1121_alt_ja_khm_translation | NIv2 | zs_opt | 1 | train |
Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
Q: 少なくとも12本の木が嵐で倒れたと報告されている。
A: | យ៉ាងហោចណាស់មានដើមឈើ12ដើមត្រូវបានរាយការណ៍ថាបានដួលរលំ ក្នុងកំឡុងពេលព្យុះនេះ។ | task1121_alt_ja_khm_translation | NIv2 | zs_opt | 4 | train |
Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
Ex Input:
医療スタッフを伴ってマット上に横になっている間に、マトスは治療時間を1分超過したとして失格となった。
Ex Output:
ខណៈដែលគាត់សម្រាកលើកម្រាលដោយមានអ្នកវេជ្ជសាស្ត្រមើលថែ ម៉ាតូស ត្រូវបានបញ្ឈប... | បន្ទាប់ពីខ្ញុំធ្វើសក់និងផាត់មុខរួច ខ្ញុំចុះទៅទៅកាន់បន្ទប់ផ្សាយដើម្បីពិភាក្សាជាមួយផលិតករមុនកម្មវិធីចាប់ផ្តើម។
| task1121_alt_ja_khm_translation | NIv2 | fs_opt | 1 | train |
Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
Input: Consider Input: ニュージーランドの農民らは、現役農業犬をマイクロチップ規制から除外することに関し議員が投票を行い、61対60で可決されたことで、議会で大きな勝利を勝ち取った。
Output: កសិករនូវែលហ្សេឡង់បានឈ្នះនូវជ័យជំន... | Output: ដោយសារតែអាត្រាអត់ការងារធ្វើរបស់យុវវ័យបាននឹងកំពុងកើនឡើងក្នុងកំរិតអាសន្ន (15.5% ក្នុងឆ្នាំ2002 ចំពោះអ្នកដែលមានអាយុចន្លោះ20និង24 យោងតាមអង្គការ OECD) និងការចងចំាងថ្មីៗនេះលើកុប្បកម្មក្នុងឆ្នាំ2005 Sarkozyបានសន្យាថា នឹងគ្រប់គ្រងលើការចំណាយរបស់រដ្ឋាភិបាល និងអនុវត្តគោលការណ៍ពន្ធដែលផ្តល់ប្រយោជន៍ដល់រយៈពេលធ្វើការវែងជាងមុន។
... | task1121_alt_ja_khm_translation | NIv2 | fs_opt | 2 | train |
Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
ハイテク法律研究所と倫理センターが議論を後援している。
វិទ្យាស្ថានច្បាប់បច្ចេកវិទ្យាជាន់ខ្ពស់ជាមួយនឹងមជ្ឍមណ្ឌលក្រមសីលធម៌ជាអ្នកទទួលបន្ទុកលើកិច្ចពិភាក្សានេះ។
この報告によると、金曜日に始ま... | "យើងបានកំពុងពិភាក្សាជាមួយការិយាល័យមួយចំនួន។"
| task1121_alt_ja_khm_translation | NIv2 | fs_opt | 0 | test |
Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
Example Input: もし、あまりにも多くの貸し手が債務不履行になると、それは今でも起こり得るのだが、債務不履行が滝のような勢いで増加する可能性がある。
Example Output: បើសិនជាអ្នកឲខ្ចីទាំងអស់នេះបិទបញ្ជីមិន ទូទាត់ដោយស... | កុនតឺសព្វថ្ងៃនេះត្រូវជាប់ពន្ធធានាគារបួនខែសំរាប់ការចែកចែកថ្នាំសារធាតុគីមីនិងការបន្លំលុយ។
| task1121_alt_ja_khm_translation | NIv2 | fs_opt | 3 | validation |
Definition: Given a question as input, give its short_answer as the output
Input: 1 1/8 yard is how many inches?
Output: | 412 | task1656_gooaq_answer_generation | NIv2 | zs_opt | 2 | train |
Given a question as input, give its short_answer as the output
Example: 1000 days is how many years?
Example solution: 2.73973
Example explanation: The output is the short_answer of the given input question based on the conversion formula days ÷ 365 = years
Problem: 1 acre equal to how many metre square?
| Solution: 4046.86 | task1656_gooaq_answer_generation | NIv2 | fs_opt | 5 | train |
You will be given a definition of a task first, then some input of the task.
Given a question as input, give its short_answer as the output
1/20 is equal to what?
Output: | 5% | task1656_gooaq_answer_generation | NIv2 | zs_opt | 1 | train |
Given a question as input, give its short_answer as the output
1/10 oz how many grams? | 3.393 | task1656_gooaq_answer_generation | NIv2 | zs_opt | 0 | train |
Given a question as input, give its short_answer as the output
Example input: 1000 days is how many years?
Example output: 2.73973
Example explanation: The output is the short_answer of the given input question based on the conversion formula days ÷ 365 = years
Q: 1 acre equals how many guntas?
A: | 40 | task1656_gooaq_answer_generation | NIv2 | fs_opt | 3 | train |
Q: Given a question as input, give its short_answer as the output
1 acre equals how many hectares?
A: | 0.404686 | task1656_gooaq_answer_generation | NIv2 | zs_opt | 7 | train |
Teacher: Given a question as input, give its short_answer as the output
Teacher: Now, understand the problem? If you are still confused, see the following example:
1000 days is how many years?
Solution: 2.73973
Reason: The output is the short_answer of the given input question based on the conversion formula days ÷ 36... | 16 | task1656_gooaq_answer_generation | NIv2 | fs_opt | 2 | train |
Given a question as input, give its short_answer as the output
Let me give you an example: 1000 days is how many years?
The answer to this example can be: 2.73973
Here is why: The output is the short_answer of the given input question based on the conversion formula days ÷ 365 = years
OK. solve this:
1000 mg is how ... | 1 | task1656_gooaq_answer_generation | NIv2 | fs_opt | 8 | train |
Given a question as input, give its short_answer as the output
1 acre equals how many marla?
160
1/10 mile equals how many feet?
528
1/8 cup is equivalent to how many tablespoons?
| 2
| task1656_gooaq_answer_generation | NIv2 | fs_opt | 0 | test |
Detailed Instructions: Given a question as input, give its short_answer as the output
Q: 12 switch how many games?
A: | 28 | task1656_gooaq_answer_generation | NIv2 | zs_opt | 9 | validation |
Definition: Read the given query and classify it as a 'Good' or 'Bad' query depending on how well the query is formed, 'Bad' being the expected output for a not so well formed query and 'Good' being the expected output for a well formed query. A query may be wrong based on common sense or general facts, but if it is we... | Good | task673_google_wellformed_query_classification | NIv2 | zs_opt | 2 | train |
instruction:
Read the given query and classify it as a 'Good' or 'Bad' query depending on how well the query is formed, 'Bad' being the expected output for a not so well formed query and 'Good' being the expected output for a well formed query. A query may be wrong based on common sense or general facts, but if it is w... | Good
| task673_google_wellformed_query_classification | NIv2 | fs_opt | 9 | train |
Instructions: Read the given query and classify it as a 'Good' or 'Bad' query depending on how well the query is formed, 'Bad' being the expected output for a not so well formed query and 'Good' being the expected output for a well formed query. A query may be wrong based on common sense or general facts, but if it is ... | Good | task673_google_wellformed_query_classification | NIv2 | zs_opt | 3 | train |
Read the given query and classify it as a 'Good' or 'Bad' query depending on how well the query is formed, 'Bad' being the expected output for a not so well formed query and 'Good' being the expected output for a well formed query. A query may be wrong based on common sense or general facts, but if it is well formed, y... | Good | task673_google_wellformed_query_classification | NIv2 | zs_opt | 0 | train |
Teacher:Read the given query and classify it as a 'Good' or 'Bad' query depending on how well the query is formed, 'Bad' being the expected output for a not so well formed query and 'Good' being the expected output for a well formed query. A query may be wrong based on common sense or general facts, but if it is well f... | Good | task673_google_wellformed_query_classification | NIv2 | zs_opt | 6 | train |
Teacher:Read the given query and classify it as a 'Good' or 'Bad' query depending on how well the query is formed, 'Bad' being the expected output for a not so well formed query and 'Good' being the expected output for a well formed query. A query may be wrong based on common sense or general facts, but if it is well f... | Good | task673_google_wellformed_query_classification | NIv2 | zs_opt | 6 | train |
Read the given query and classify it as a 'Good' or 'Bad' query depending on how well the query is formed, 'Bad' being the expected output for a not so well formed query and 'Good' being the expected output for a well formed query. A query may be wrong based on common sense or general facts, but if it is well formed, y... | Good
| task673_google_wellformed_query_classification | NIv2 | fs_opt | 7 | train |
Read the given query and classify it as a 'Good' or 'Bad' query depending on how well the query is formed, 'Bad' being the expected output for a not so well formed query and 'Good' being the expected output for a well formed query. A query may be wrong based on common sense or general facts, but if it is well formed, y... | Good | task673_google_wellformed_query_classification | NIv2 | zs_opt | 4 | train |
Read the given query and classify it as a 'Good' or 'Bad' query depending on how well the query is formed, 'Bad' being the expected output for a not so well formed query and 'Good' being the expected output for a well formed query. A query may be wrong based on common sense or general facts, but if it is well formed, y... | Good
| task673_google_wellformed_query_classification | NIv2 | fs_opt | 0 | test |
You will be given a definition of a task first, then some input of the task.
Read the given query and classify it as a 'Good' or 'Bad' query depending on how well the query is formed, 'Bad' being the expected output for a not so well formed query and 'Good' being the expected output for a well formed query. A query may... | Good | task673_google_wellformed_query_classification | NIv2 | zs_opt | 1 | validation |
Detailed Instructions: The provided text is in Croatian, and we ask you to translate the text to the English language. Please bear in mind the following guidelines while translating: 1) We are looking for the most naturally written and formal form of each sentence in the English language. 2) If you encounter any specia... | People who have no light, whether it's physical or metaphorical, cannot pass our exams, and we can never know what they know. | task1367_opustedtalks_translation | NIv2 | zs_opt | 9 | train |
The provided text is in Croatian, and we ask you to translate the text to the English language. Please bear in mind the following guidelines while translating: 1) We are looking for the most naturally written and formal form of each sentence in the English language. 2) If you encounter any special characters like '#@%$... | It's called "Aria." | task1367_opustedtalks_translation | NIv2 | fs_opt | 8 | train |
Given the task definition and input, reply with output. The provided text is in Croatian, and we ask you to translate the text to the English language. Please bear in mind the following guidelines while translating: 1) We are looking for the most naturally written and formal form of each sentence in the English languag... | Which tells us that, when students come to us from abroad, we may not be giving them enough credit for what they know, and they know it in their own language. | task1367_opustedtalks_translation | NIv2 | zs_opt | 5 | train |
The provided text is in Croatian, and we ask you to translate the text to the English language. Please bear in mind the following guidelines while translating: 1) We are looking for the most naturally written and formal form of each sentence in the English language. 2) If you encounter any special characters like '#@%$... | It doesn't matter the technology.
| task1367_opustedtalks_translation | NIv2 | fs_opt | 5 | train |
instruction:
The provided text is in Croatian, and we ask you to translate the text to the English language. Please bear in mind the following guidelines while translating: 1) We are looking for the most naturally written and formal form of each sentence in the English language. 2) If you encounter any special characte... | And it's 2.4 billion gallons of gasoline wasted.
| task1367_opustedtalks_translation | NIv2 | fs_opt | 9 | train |
Definition: The provided text is in Croatian, and we ask you to translate the text to the English language. Please bear in mind the following guidelines while translating: 1) We are looking for the most naturally written and formal form of each sentence in the English language. 2) If you encounter any special character... | I decided to write a piece for choir a couple of years later as a gift to this conductor who had changed my life. | task1367_opustedtalks_translation | NIv2 | zs_opt | 2 | train |
The provided text is in Croatian, and we ask you to translate the text to the English language. Please bear in mind the following guidelines while translating: 1) We are looking for the most naturally written and formal form of each sentence in the English language. 2) If you encounter any special characters like '#@%$... | Because, of course, the best jobs go to people out of the Western Universities, that I put on earlier. | task1367_opustedtalks_translation | NIv2 | zs_opt | 0 | train |
The provided text is in Croatian, and we ask you to translate the text to the English language. Please bear in mind the following guidelines while translating: 1) We are looking for the most naturally written and formal form of each sentence in the English language. 2) If you encounter any special characters like '#@%$... | And I felt for the first time in my life that I was part of something bigger than myself.
****
| task1367_opustedtalks_translation | NIv2 | fs_opt | 4 | train |
Detailed Instructions: The provided text is in Croatian, and we ask you to translate the text to the English language. Please bear in mind the following guidelines while translating: 1) We are looking for the most naturally written and formal form of each sentence in the English language. 2) If you encounter any specia... | This will be a premier today. | task1367_opustedtalks_translation | NIv2 | fs_opt | 4 | test |
The provided text is in Croatian, and we ask you to translate the text to the English language. Please bear in mind the following guidelines while translating: 1) We are looking for the most naturally written and formal form of each sentence in the English language. 2) If you encounter any special characters like '#@%$... | Do we really want to end up with 600 languages and the main one being English, or Chinese?
| task1367_opustedtalks_translation | NIv2 | fs_opt | 7 | validation |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.