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In this task, you will be given a movie review in Persian. You have to Classify the sentiment of the reviewer toward the movie into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence i... | mixed | task526_parsinlu_movie_overal_classification | NIv2 | fs_opt | 8 | train |
Teacher: In this task, you will be given a movie review in Persian. You have to Classify the sentiment of the reviewer toward the movie into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases)... | negative | task526_parsinlu_movie_overal_classification | NIv2 | fs_opt | 2 | train |
In this task, you will be given a movie review in Persian. You have to Classify the sentiment of the reviewer toward the movie into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence i... | mixed | task526_parsinlu_movie_overal_classification | NIv2 | zs_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 movie review in Persian. You have to Classify the sentiment of the reviewer toward the movie into: "negative", "neutral", "positive", and "mixed". The mixed category... | negative | task526_parsinlu_movie_overal_classification | NIv2 | fs_opt | 0 | train |
In this task, you will be given a movie review in Persian. You have to Classify the sentiment of the reviewer toward the movie into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence i... | negative | task526_parsinlu_movie_overal_classification | NIv2 | zs_opt | 4 | train |
instruction:
In this task, you will be given a movie review in Persian. You have to Classify the sentiment of the reviewer toward the movie into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline ca... | positive
| task526_parsinlu_movie_overal_classification | NIv2 | fs_opt | 9 | train |
Part 1. Definition
In this task, you will be given a movie review in Persian. You have to Classify the sentiment of the reviewer toward the movie into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderl... | positive | task526_parsinlu_movie_overal_classification | NIv2 | fs_opt | 7 | train |
You will be given a definition of a task first, then some input of the task.
In this task, you will be given a movie review in Persian. You have to Classify the sentiment of the reviewer toward the movie into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentime... | negative | task526_parsinlu_movie_overal_classification | NIv2 | zs_opt | 1 | train |
In this task, you will be given a movie review in Persian. You have to Classify the sentiment of the reviewer toward the movie into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or borderline cases); hence i... | Solution: positive | task526_parsinlu_movie_overal_classification | NIv2 | fs_opt | 5 | test |
Detailed Instructions: In this task, you will be given a movie review in Persian. You have to Classify the sentiment of the reviewer toward the movie into: "negative", "neutral", "positive", and "mixed". The mixed category indicates reviews where none of the sentiments are dominant (mix of positive and negative, or bor... | positive | task526_parsinlu_movie_overal_classification | NIv2 | zs_opt | 8 | validation |
Choose between "penguin" and "panda". Question: A penguin can run faster then a panda. If both animals run for 10 minutes, which will have gone the greater distance? (A) penguin (B) panda
penguin
Choose between "felt" and "carpet". Question: Jeri noticed that the pool cue ball moves faster on the felt of the table ... | grassy hill | quarel_choose_between | P3 | fs_opt | 0 | train |
Question: Choose between "Mary" and "Jimbo". Question: Both Mary and Jimbo were out working in a field digging a hole. Mary was working very hard, while Jimbo was just standing around leaning on his shovel. Which person was producing more sweat? (A) Mary (B) Jimbo
Answer: | Mary | quarel_choose_between | P3 | zs_noopt | 4 | train |
Choose between "capybara" and "anteater". Question: A capybara isn't as fast of a runner as an anteater. If both animals make the same journey, which will get there sooner? (A) capybara (B) anteater
anteater
------
Choose between "Sun" and "Mars". Question: The sun is much more massive than Mars therefore it has (A) ... | rubber soles
------ | quarel_choose_between | P3 | fs_opt | 5 | train |
Ques:Choose between "noise on side road" and "noise next to construction". Question: Mark was driving through a construction zone where a loud drill was being used. He first had to drive right next to the construction site, then he turned onto a side road. Where would the noise of the drill be the loudest?(A)next to c... | sidewalk
----- | quarel_choose_between | P3 | fs_opt | 9 | train |
Choose between "dirt street" and "paved street". Question: Dan is driving his van and it gets very warm when driving down the dirt street. However, the van stays cool driving down the paved street. The paved street has (A) greater resistance (B) lower resistance.
paved street
Choose between "Manny" and "Kevin". Que... | A: Fezzik | quarel_choose_between | P3 | fs_opt | 2 | train |
Choose between "muddy path" and "clear street". Question: Rico is on his skateboard. He practices racing, and on the muddy path, he can finish a race in ten minutes. On the clear street, Rico finishes the race in five minutes. Rico can finish the race faster on the clear street because the clear street has (A) more fr... | clear street | quarel_choose_between | P3 | zs_noopt | 0 | train |
Choose between "carpet" and "rug". Question: When Mike slides his cup across the carpet is heats up less then when he slides it across the rug. This means the _____ is more smooth (A) rug (B) carpet
| rug | quarel_choose_between | P3 | zs_opt | 0 | train |
Choose between "Car" and "Bicycle". Question: A car is faster than the average bicycle so which would go further in an hour? (A) Bicycle (B) Car
Bicycle
Choose between "Jane 500 feet away from her house" and "Jane outside her house". Question: Jane goes out of her house and starts walking away from it. After walkin... | A: wood board with knots | quarel_choose_between | P3 | fs_opt | 2 | train |
Choose between "roller hockey" and "ice hockey". Question: Roy is trying to figure out which type of hockey field will allow him to make the longest hockey slapshot with his hockey puck. The roller hockey field is rough and made of asphalt while the ice hockey field is smooth and made of ice. Which field will let him ... | ice hockey | quarel_choose_between | P3 | zs_opt | 2 | test |
Ques: Choose between "towel" and "paper". Question: Jim rolled his pebble across a towel and a piece of paper. He then realized that the towel was quite a bit rougher in one direction than the paper was, and vice versa. Does the _____ generate more heat when the pebble is rolled across (A) towel (B) paper
Ans: towel
... | truck with the camper | quarel_choose_between | P3 | fs_opt | 7 | validation |
This task is about writing a correct answer for the reading comprehension task. Based on the information provided in a given passage, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justificati... | Boy George | task075_squad1_1_answer_generation | NIv2 | fs_opt | 6 | train |
This task is about writing a correct answer for the reading comprehension task. Based on the information provided in a given passage, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justificati... | The photophone
| task075_squad1_1_answer_generation | NIv2 | fs_opt | 1 | train |
TASK DEFINITION: This task is about writing a correct answer for the reading comprehension task. Based on the information provided in a given passage, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incom... | The Medill School of Journalism
| task075_squad1_1_answer_generation | NIv2 | fs_opt | 8 | train |
You will be given a definition of a task first, then some input of the task.
This task is about writing a correct answer for the reading comprehension task. Based on the information provided in a given passage, you should identify the shortest continuous text span from the passage that serves as an answer to the given ... | the M6 motorway | task075_squad1_1_answer_generation | NIv2 | zs_opt | 1 | train |
Q: This task is about writing a correct answer for the reading comprehension task. Based on the information provided in a given passage, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justific... | 1994 | task075_squad1_1_answer_generation | 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.
This task is about writing a correct answer for the reading comprehension task. Based on the information provided in a given passage, you should identify the shortest continuous text span from the pa... | Ludwig Mies van der Rohe residential district | task075_squad1_1_answer_generation | NIv2 | fs_opt | 0 | train |
Teacher:This task is about writing a correct answer for the reading comprehension task. Based on the information provided in a given passage, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete jus... | Tun Shein — a leading politician of the 1910s, who campaigned for Burmese independence in London. | task075_squad1_1_answer_generation | NIv2 | zs_opt | 6 | train |
This task is about writing a correct answer for the reading comprehension task. Based on the information provided in a given passage, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justificati... | Johannes Aavik | task075_squad1_1_answer_generation | NIv2 | zs_opt | 0 | train |
Q: This task is about writing a correct answer for the reading comprehension task. Based on the information provided in a given passage, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justific... | minute | task075_squad1_1_answer_generation | NIv2 | zs_opt | 7 | test |
This task is about writing a correct answer for the reading comprehension task. Based on the information provided in a given passage, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justificati... | overheat
| task075_squad1_1_answer_generation | NIv2 | fs_opt | 7 | validation |
Detailed Instructions: Given a sentence in the Indonesian(Bahasa variant), provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
See one example below:
Problem: Italia berhasil mengalahkan Portugal 31-5 di grup C dalam Piala Dunia Rug... | 中華人民共和国衛生部のスポークスマンMaoQunanは「病気の発生の可能性が北京オリンピックに影響しないと確信している」と語った。 | task1116_alt_id_ja_translation | NIv2 | fs_opt | 4 | train |
Given a sentence in the Indonesian(Bahasa variant), provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
--------
Question: Kami sekarang harus melakukan apapun yang mungkin untuk menghentikan pemogokan ini dari persidangan, katanya.... | 目撃者やタリバンメンバーと米軍とアフガニスタン軍のメンバーによると、チヌークヘリは意図的に標的にされ、ロケット式手投げ弾(RPG)でねらわれたことは明らかだ。
| task1116_alt_id_ja_translation | NIv2 | fs_opt | 7 | train |
Detailed Instructions: Given a sentence in the Indonesian(Bahasa variant), provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Q: Pada akhirnya bisa digunakan untuk misi berawak menggunakan pesawat ruang angkasa SpaceX Dragon.
A: | 最終的には、SpaceXの宇宙船Dragonを使った有人ミッションにも使われるかもしれない。 | task1116_alt_id_ja_translation | NIv2 | zs_opt | 9 | train |
Given the task definition and input, reply with output. Given a sentence in the Indonesian(Bahasa variant), provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Komisi Hak Asasi Manusia Ketua Pakistan Iqbal Haider mengatakan puteri ... | パキスタン人権委員会の共同議長、イクバール・ハイダーは、アーフィア博士の娘もアフガニスタンにいると語った。 | task1116_alt_id_ja_translation | NIv2 | zs_opt | 5 | train |
Detailed Instructions: Given a sentence in the Indonesian(Bahasa variant), provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Q: Petugas Satwaliar di Zimbabwe mengatakan hari ini, bahwa jumlah perburuan binatang di negara ini telah... | ジンバブエの野生動物保護の役員が今日、ジンバブエでの動物の密猟数が今年顕著に増加しており、これは国際的な犯罪組織によるものだと語った。 | task1116_alt_id_ja_translation | NIv2 | zs_opt | 9 | train |
Detailed Instructions: Given a sentence in the Indonesian(Bahasa variant), provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Q: Perkembangan ini telah bertahan hampir tiga minggu, dan mempengaruhi perairan sejajar dengan Pulau Pad... | この発生は、ほぼ３週間も長引いており、南パドレ島と並行に沿って約25マイルある流れに影響を及ぼし、メキシコビーチに沿って10マイルのところまで広がるかもしれません。 | task1116_alt_id_ja_translation | NIv2 | zs_opt | 9 | train |
Definition: Given a sentence in the Indonesian(Bahasa variant), provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Input: Maskapai ini menyatakan bahwa semua pesawat telah mengalami inspeksi keselamatan yang luas dan mereka puas me... | 航空会社は、全ての航空機が広範囲な安全点検を受け、それらが安全基準を満たしていると、述べた。 | task1116_alt_id_ja_translation | NIv2 | zs_opt | 2 | train |
Given a sentence in the Indonesian(Bahasa variant), provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
One example: Italia berhasil mengalahkan Portugal 31-5 di grup C dalam Piala Dunia Rugby 2007 di Parc des Princes, Paris, Peranc... | しかし、光の速度に近づくことは長期間の恒常的な加速を必要とする。 | task1116_alt_id_ja_translation | NIv2 | fs_opt | 6 | train |
Given the task definition and input, reply with output. Given a sentence in the Indonesian(Bahasa variant), provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Selama ia di sana, Ia bergulat sebagai El Gigante selama dua tahun, lal... | そこにいる間、彼は2年間はエル・ヒガンテとしてレスリングをし、その後、ワールド・レスリング・フェデレーション(WWF)、現在のワールド・レスリング・エンターテイメント(WWE)に加わった。 | task1116_alt_id_ja_translation | NIv2 | zs_opt | 5 | test |
Given a sentence in the Indonesian(Bahasa variant), provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Q: Efek tambahannya adalah untuk mengurangi gengsi internasional dari kepimpinan Presiden Hugo Chavez menciptakan keraguan tent... | その高官は「我々はイラク政府に対し、前記の人物らを解放するための迅速な手段を取り、その措置について米国兵を批難することを期待する」と言った。
****
| task1116_alt_id_ja_translation | NIv2 | fs_opt | 4 | validation |
Detailed Instructions: Given a sentence in French, provide an equivalent paraphrased translation in English that retains the same meaning both through the translation and the paraphrase.
Q: L'ancien lycée est devenu le lycée, tandis que le nouveau bâtiment est devenu le lycée.
A: | The old grammar school became the Upper School while the new building became the Lower School . | task789_pawsx_french_english_translation | NIv2 | zs_opt | 9 | train |
Definition: Given a sentence in French, provide an equivalent paraphrased translation in English that retains the same meaning both through the translation and the paraphrase.
Input: WORHP, également appelé eNLP (European NLP Solver), est une bibliothèque de logiciels mathématiques permettant de résoudre numériquement ... | WORHP , also referred to as eNLP ( European NLP solver ) by ESA , is a mathematical software library for solving continuous large scale nonlinear optimization problems numerically . | task789_pawsx_french_english_translation | NIv2 | zs_opt | 2 | train |
Given a sentence in French, provide an equivalent paraphrased translation in English that retains the same meaning both through the translation and the paraphrase.
La rivière Bota Mare est un affluent de la rivière Zăbrătău en Roumanie. | The Bota Mare River is a tributary of the Zăbrătău River in Romania . | task789_pawsx_french_english_translation | NIv2 | zs_opt | 0 | 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.
Given a sentence in French, provide an equivalent paraphrased translation in English that retains the same meaning both through the translation and the paraphrase.
La saison NBA 1975 - 76 était la 3... | North of South Huntington , NY 110 enters an at-grade crossing with NY 25 ( West Jericho Turnpike ) in the hamlet of Walt Whitman Shops . | task789_pawsx_french_english_translation | NIv2 | fs_opt | 0 | train |
Given the task definition and input, reply with output. Given a sentence in French, provide an equivalent paraphrased translation in English that retains the same meaning both through the translation and the paraphrase.
Vous trouverez ci-dessous la première version de l’album avec toutes les séquences originales et «T... | Below is the early version of the album with all the original segues . Also , " The Sacrifice of Victor " is slightly longer on the early configuration . | task789_pawsx_french_english_translation | NIv2 | zs_opt | 5 | train |
Detailed Instructions: Given a sentence in French, provide an equivalent paraphrased translation in English that retains the same meaning both through the translation and the paraphrase.
Problem:La rivière Sambata est un affluent de la rivière Caprei en Roumanie.
Solution: | The Sâmbăta river is a tributary of the River Piatra Caprei in Romania . | task789_pawsx_french_english_translation | NIv2 | zs_opt | 8 | train |
instruction:
Given a sentence in French, provide an equivalent paraphrased translation in English that retains the same meaning both through the translation and the paraphrase.
question:
Shaffer Creek est un affluent de la rivière Juniata Branch (branche Brush Creek) de Raystown, dans le comté de Bedford, en Pennsylvan... | " Pogonodon " was described in 1880 by Edward Drinker Cope . Two species are recognized , " P. davisi " and " P. platycopis " .
| task789_pawsx_french_english_translation | NIv2 | fs_opt | 9 | train |
Given a sentence in French, provide an equivalent paraphrased translation in English that retains the same meaning both through the translation and the paraphrase.
One example: La saison NBA 1975 - 76 était la 30e saison de la National Basketball Association.
Solution is here: The 1975 -- 76 season of the National Bask... | Belson as audio director programmed kinetic live visuals , and Jacobs programmed electronic music and visual experiments . | task789_pawsx_french_english_translation | NIv2 | fs_opt | 6 | train |
Detailed Instructions: Given a sentence in French, provide an equivalent paraphrased translation in English that retains the same meaning both through the translation and the paraphrase.
See one example below:
Problem: La saison NBA 1975 - 76 était la 30e saison de la National Basketball Association.
Solution: The 1975... | Dingwall and Tingwall in England , Thingwall in Norway , Tynwald on the Isle of Man , and Tingvoll in Scotland bear names of the same root and meaning . | task789_pawsx_french_english_translation | NIv2 | fs_opt | 4 | test |
Definition: Given a sentence in French, provide an equivalent paraphrased translation in English that retains the same meaning both through the translation and the paraphrase.
Input: Les collèges de Sussex et de Lancing sont réputés avoir joué un match de football en novembre 1860, le premier par les écoles publiques d... | Sussex and Lancing Colleges , which played a football match in November 1860 , are recorded as the first of public schools in Brighton . | task789_pawsx_french_english_translation | NIv2 | zs_opt | 2 | validation |
In this task, you need to translate the given English sentence to Polish language.
Let me give you an example: The Americans didnt even know
The answer to this example can be: Amerykanie nawet nie wiedzieli
Here is why: English sentence is properly converted into Polish sentence
OK. solve this:
This is going to becom... | Ten wynik równa się 0. | task830_poleval2019_mt_translation | NIv2 | fs_opt | 8 | train |
Q: In this task, you need to translate the given English sentence to Polish language.
So the two eigenspaces for the matrix-- where did I write it?
A: | Czyli dwie przestrzenie własne dla macierzy -- gdzie to napisałem? | task830_poleval2019_mt_translation | NIv2 | zs_opt | 7 | train |
Instructions: In this task, you need to translate the given English sentence to Polish language.
Input: "Those who are about to communicate
Output: | Ci, którzy chcą komunikować pilne wiadomości | task830_poleval2019_mt_translation | NIv2 | zs_opt | 3 | train |
Detailed Instructions: In this task, you need to translate the given English sentence to Polish language.
Q: Minus 2 squared is 4.
A: | (-2) kwadrat = 4 | task830_poleval2019_mt_translation | NIv2 | zs_opt | 9 | train |
Definition: In this task, you need to translate the given English sentence to Polish language.
Input: and now this is outflowing
Output: | a to odpływy, | task830_poleval2019_mt_translation | NIv2 | zs_opt | 2 | train |
In this task, you need to translate the given English sentence to Polish language.
Let me give you an example: The Americans didnt even know
The answer to this example can be: Amerykanie nawet nie wiedzieli
Here is why: English sentence is properly converted into Polish sentence
OK. solve this:
1808-- and now we're t... | 1808 - i teraz mówimy o początku 1808, | task830_poleval2019_mt_translation | NIv2 | fs_opt | 8 | train |
You will be given a definition of a task first, then some input of the task.
In this task, you need to translate the given English sentence to Polish language.
Ace is card rank number 14,
Output: | Numer rangi, to w przypadku asa "14", | task830_poleval2019_mt_translation | NIv2 | zs_opt | 1 | train |
In this task, you need to translate the given English sentence to Polish language.
Ex Input:
here you can name the document,
Ex Output:
Tu wpisujemy nazwę dokumentu,
Ex Input:
it's actually in October.
Ex Output:
faktycznie w październiku.
Ex Input:
I think we're almost done.
Ex Output:
| Juz sie zblizamy do konca.
| task830_poleval2019_mt_translation | NIv2 | fs_opt | 1 | train |
Definition: In this task, you need to translate the given English sentence to Polish language.
Input: So after metaphase, now we're ready to pull the stuff apart,
Output: | Tak więc po metafazie, jesteśmy gotowi oderwać te rzeczy od siebie | task830_poleval2019_mt_translation | NIv2 | zs_opt | 2 | test |
Definition: In this task, you need to translate the given English sentence to Polish language.
Input: And, so, essentially it's going to be this length right over here,
Output: | Więc istotnie będzie to ta długość, | task830_poleval2019_mt_translation | NIv2 | zs_opt | 2 | validation |
In this task, you are given a sentence which is either in the Gujarati language or English language. You task is to identify the language of input sentence. Input sentence can be in Gujarari or English language only and also it cannot have two languages at a time.
--------
Question: Two people wearing helmets on a yell... | Gujarati
| task441_eng_guj_parallel_corpus_gu_en_language_identification | NIv2 | fs_opt | 7 | train |
Detailed Instructions: In this task, you are given a sentence which is either in the Gujarati language or English language. You task is to identify the language of input sentence. Input sentence can be in Gujarari or English language only and also it cannot have two languages at a time.
See one example below:
Problem: ... | English | task441_eng_guj_parallel_corpus_gu_en_language_identification | NIv2 | fs_opt | 4 | train |
Detailed Instructions: In this task, you are given a sentence which is either in the Gujarati language or English language. You task is to identify the language of input sentence. Input sentence can be in Gujarari or English language only and also it cannot have two languages at a time.
See one example below:
Problem: ... | Gujarati | task441_eng_guj_parallel_corpus_gu_en_language_identification | NIv2 | fs_opt | 4 | train |
Instructions: In this task, you are given a sentence which is either in the Gujarati language or English language. You task is to identify the language of input sentence. Input sentence can be in Gujarari or English language only and also it cannot have two languages at a time.
Input: A bathroom with a white tub and wh... | English | task441_eng_guj_parallel_corpus_gu_en_language_identification | NIv2 | zs_opt | 3 | train |
In this task, you are given a sentence which is either in the Gujarati language or English language. You task is to identify the language of input sentence. Input sentence can be in Gujarari or English language only and also it cannot have two languages at a time.
Input: Consider Input: A Mac computer monitor on a des... | Output: English
| task441_eng_guj_parallel_corpus_gu_en_language_identification | NIv2 | fs_opt | 2 | train |
Instructions: In this task, you are given a sentence which is either in the Gujarati language or English language. You task is to identify the language of input sentence. Input sentence can be in Gujarari or English language only and also it cannot have two languages at a time.
Input: they young man is sitting in his c... | English | task441_eng_guj_parallel_corpus_gu_en_language_identification | NIv2 | zs_opt | 3 | train |
Definition: In this task, you are given a sentence which is either in the Gujarati language or English language. You task is to identify the language of input sentence. Input sentence can be in Gujarari or English language only and also it cannot have two languages at a time.
Input: Canopies of tiny white lights strung... | English | task441_eng_guj_parallel_corpus_gu_en_language_identification | NIv2 | zs_opt | 2 | train |
Q: In this task, you are given a sentence which is either in the Gujarati language or English language. You task is to identify the language of input sentence. Input sentence can be in Gujarari or English language only and also it cannot have two languages at a time.
બેઠક પર માઉન્ટ થયેલ પ્રવાહી વહેવાનો હરકોઈ જાતનો નળ એ... | Gujarati | task441_eng_guj_parallel_corpus_gu_en_language_identification | 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 sentence which is either in the Gujarati language or English language. You task is to identify the language of input sentence. Input sentence can be in Gujarari or Engli... | English | task441_eng_guj_parallel_corpus_gu_en_language_identification | NIv2 | fs_opt | 0 | test |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence which is either in the Gujarati language or English language. You task is to identify the language of input sentence. Input sentence can be in Gujarari or English language only and also it cannot have two... | English | task441_eng_guj_parallel_corpus_gu_en_language_identification | NIv2 | zs_opt | 1 | validation |
Teacher: In this task, you will be presented with a context from an academic paper and a question based on the context. You have to classify the questions into "Extractive", "Abstractive", or "Yes-no" questions. Extractive questions can be answered by concatenating extracts taken from a context into a summary while ans... | Yes-no | task462_qasper_classification | NIv2 | fs_opt | 2 | train |
instruction:
In this task, you will be presented with a context from an academic paper and a question based on the context. You have to classify the questions into "Extractive", "Abstractive", or "Yes-no" questions. Extractive questions can be answered by concatenating extracts taken from a context into a summary while... | Extractive
| task462_qasper_classification | NIv2 | fs_opt | 9 | train |
In this task, you will be presented with a context from an academic paper and a question based on the context. You have to classify the questions into "Extractive", "Abstractive", or "Yes-no" questions. Extractive questions can be answered by concatenating extracts taken from a context into a summary while answering ab... | Extractive
****
| task462_qasper_classification | NIv2 | fs_opt | 4 | train |
Given the task definition, example input & output, solve the new input case.
In this task, you will be presented with a context from an academic paper and a question based on the context. You have to classify the questions into "Extractive", "Abstractive", or "Yes-no" questions. Extractive questions can be answered by ... | Abstractive | task462_qasper_classification | NIv2 | fs_opt | 1 | train |
In this task, you will be presented with a context from an academic paper and a question based on the context. You have to classify the questions into "Extractive", "Abstractive", or "Yes-no" questions. Extractive questions can be answered by concatenating extracts taken from a context into a summary while answering ab... | Output: Extractive
| task462_qasper_classification | NIv2 | fs_opt | 2 | train |
In this task, you will be presented with a context from an academic paper and a question based on the context. You have to classify the questions into "Extractive", "Abstractive", or "Yes-no" questions. Extractive questions can be answered by concatenating extracts taken from a context into a summary while answering ab... | Abstractive
| task462_qasper_classification | 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 will be presented with a context from an academic paper and a question based on the context. You have to classify the questions into "Extractive", "Abstractive", or "Yes-no" questions. Extractive questions can be answered by ... | Yes-no | task462_qasper_classification | NIv2 | zs_opt | 1 | train |
Teacher:In this task, you will be presented with a context from an academic paper and a question based on the context. You have to classify the questions into "Extractive", "Abstractive", or "Yes-no" questions. Extractive questions can be answered by concatenating extracts taken from a context into a summary while answ... | Yes-no | task462_qasper_classification | NIv2 | zs_opt | 6 | train |
Q: In this task, you will be presented with a context from an academic paper and a question based on the context. You have to classify the questions into "Extractive", "Abstractive", or "Yes-no" questions. Extractive questions can be answered by concatenating extracts taken from a context into a summary while answering... | Abstractive | task462_qasper_classification | NIv2 | zs_opt | 7 | test |
Detailed Instructions: In this task, you will be presented with a context from an academic paper and a question based on the context. You have to classify the questions into "Extractive", "Abstractive", or "Yes-no" questions. Extractive questions can be answered by concatenating extracts taken from a context into a sum... | Abstractive | task462_qasper_classification | NIv2 | fs_opt | 4 | validation |
You will be given a definition of a task first, then some input of the task.
Given a passage as input, answer with the category to which the passage belongs. There are 5 categories - Sports and Fitness, Home and Garden, Hobbies and Crafts, Food and Entertaining, Cars & Other Vehicles. The answer should be one of the ca... | Sports and Fitness | task1630_openpi_classification | NIv2 | zs_opt | 1 | train |
Given a passage as input, answer with the category to which the passage belongs. There are 5 categories - Sports and Fitness, Home and Garden, Hobbies and Crafts, Food and Entertaining, Cars & Other Vehicles. The answer should be one of the categories based on words from the passage which closely belong to the category... | Home and Garden | task1630_openpi_classification | NIv2 | fs_opt | 3 | train |
Given the task definition, example input & output, solve the new input case.
Given a passage as input, answer with the category to which the passage belongs. There are 5 categories - Sports and Fitness, Home and Garden, Hobbies and Crafts, Food and Entertaining, Cars & Other Vehicles. The answer should be one of the ca... | Home and Garden | task1630_openpi_classification | NIv2 | fs_opt | 1 | train |
Definition: Given a passage as input, answer with the category to which the passage belongs. There are 5 categories - Sports and Fitness, Home and Garden, Hobbies and Crafts, Food and Entertaining, Cars & Other Vehicles. The answer should be one of the categories based on words from the passage which closely belong to ... | Sports and Fitness | task1630_openpi_classification | NIv2 | zs_opt | 2 | train |
Given a passage as input, answer with the category to which the passage belongs. There are 5 categories - Sports and Fitness, Home and Garden, Hobbies and Crafts, Food and Entertaining, Cars & Other Vehicles. The answer should be one of the categories based on words from the passage which closely belong to the category... | Food and Entertaining
| task1630_openpi_classification | NIv2 | fs_opt | 0 | train |
Given a passage as input, answer with the category to which the passage belongs. There are 5 categories - Sports and Fitness, Home and Garden, Hobbies and Crafts, Food and Entertaining, Cars & Other Vehicles. The answer should be one of the categories based on words from the passage which closely belong to the category... | Food and Entertaining | task1630_openpi_classification | NIv2 | zs_opt | 4 | train |
Given a passage as input, answer with the category to which the passage belongs. There are 5 categories - Sports and Fitness, Home and Garden, Hobbies and Crafts, Food and Entertaining, Cars & Other Vehicles. The answer should be one of the categories based on words from the passage which closely belong to the category... | Solution: Home and Garden | task1630_openpi_classification | NIv2 | fs_opt | 5 | train |
Teacher:Given a passage as input, answer with the category to which the passage belongs. There are 5 categories - Sports and Fitness, Home and Garden, Hobbies and Crafts, Food and Entertaining, Cars & Other Vehicles. The answer should be one of the categories based on words from the passage which closely belong to the ... | Food and Entertaining | task1630_openpi_classification | NIv2 | zs_opt | 6 | train |
Given a passage as input, answer with the category to which the passage belongs. There are 5 categories - Sports and Fitness, Home and Garden, Hobbies and Crafts, Food and Entertaining, Cars & Other Vehicles. The answer should be one of the categories based on words from the passage which closely belong to the category... | Food and Entertaining
| task1630_openpi_classification | NIv2 | fs_opt | 3 | test |
Given a passage as input, answer with the category to which the passage belongs. There are 5 categories - Sports and Fitness, Home and Garden, Hobbies and Crafts, Food and Entertaining, Cars & Other Vehicles. The answer should be one of the categories based on words from the passage which closely belong to the category... | Sports and Fitness | task1630_openpi_classification | NIv2 | fs_opt | 3 | validation |
Q: In this task, you will be given a movie review and a question about the reviewer's sentiment toward one aspect of the movie in Persian. You have to infer the answer to the question from the review and classify it. Classify the reviewer's sentiment into: "no sentiment expressed", "negative", "neutral", "positive", an... | mixed | task525_parsinlu_movie_aspect_classification | NIv2 | zs_opt | 7 | train |
You will be given a definition of a task first, then some input of the task.
In this task, you will be given a movie review and a question about the reviewer's sentiment toward one aspect of the movie in Persian. You have to infer the answer to the question from the review and classify it. Classify the reviewer's senti... | negative | task525_parsinlu_movie_aspect_classification | NIv2 | zs_opt | 1 | train |
In this task, you will be given a movie review and a question about the reviewer's sentiment toward one aspect of the movie in Persian. You have to infer the answer to the question from the review and classify it. Classify the reviewer's sentiment into: "no sentiment expressed", "negative", "neutral", "positive", and "... | negative | task525_parsinlu_movie_aspect_classification | NIv2 | zs_opt | 0 | train |
In this task, you will be given a movie review and a question about the reviewer's sentiment toward one aspect of the movie in Persian. You have to infer the answer to the question from the review and classify it. Classify the reviewer's sentiment into: "no sentiment expressed", "negative", "neutral", "positive", and "... | mixed
| task525_parsinlu_movie_aspect_classification | NIv2 | fs_opt | 0 | train |
In this task, you will be given a movie review and a question about the reviewer's sentiment toward one aspect of the movie in Persian. You have to infer the answer to the question from the review and classify it. Classify the reviewer's sentiment into: "no sentiment expressed", "negative", "neutral", "positive", and "... | negative
| task525_parsinlu_movie_aspect_classification | NIv2 | fs_opt | 7 | train |
In this task, you will be given a movie review and a question about the reviewer's sentiment toward one aspect of the movie in Persian. You have to infer the answer to the question from the review and classify it. Classify the reviewer's sentiment into: "no sentiment expressed", "negative", "neutral", "positive", and "... | Solution: negative | task525_parsinlu_movie_aspect_classification | NIv2 | fs_opt | 5 | train |
In this task, you will be given a movie review and a question about the reviewer's sentiment toward one aspect of the movie in Persian. You have to infer the answer to the question from the review and classify it. Classify the reviewer's sentiment into: "no sentiment expressed", "negative", "neutral", "positive", and "... | Output: no sentiment expressed
| task525_parsinlu_movie_aspect_classification | NIv2 | fs_opt | 2 | train |
In this task, you will be given a movie review and a question about the reviewer's sentiment toward one aspect of the movie in Persian. You have to infer the answer to the question from the review and classify it. Classify the reviewer's sentiment into: "no sentiment expressed", "negative", "neutral", "positive", and "... | mixed | task525_parsinlu_movie_aspect_classification | NIv2 | zs_opt | 4 | train |
In this task, you will be given a movie review and a question about the reviewer's sentiment toward one aspect of the movie in Persian. You have to infer the answer to the question from the review and classify it. Classify the reviewer's sentiment into: "no sentiment expressed", "negative", "neutral", "positive", and "... | negative | task525_parsinlu_movie_aspect_classification | NIv2 | zs_opt | 4 | test |
Q: In this task, you will be given a movie review and a question about the reviewer's sentiment toward one aspect of the movie in Persian. You have to infer the answer to the question from the review and classify it. Classify the reviewer's sentiment into: "no sentiment expressed", "negative", "neutral", "positive", an... | no sentiment expressed | task525_parsinlu_movie_aspect_classification | NIv2 | zs_opt | 7 | validation |
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