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Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
Input: شاهد جورج جفرسون يكتبُ شيكًا في المسلسل "" عائلة جفرسون ، "" ولم يكن يعرفُ إطلاقًا أنه يمكنُ لرجل أسود أن يكتب شيكًا.
Output: | Aveva visto George Jefferson fare un assegno ne "" I Jefferson "", non avrebbe mai pensato che un uomo di colore potesse fare un assegno. | task1106_ted_translation_ar_it | NIv2 | zs_opt | 3 | train |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
قال: "" أليست كل تلك التغريدات ، أليست كل تلك الرشفات الصغيرة من الاتصال عبر الانترنت ، قادرة على التجمع لتكون جرعة كبيرة من نقاش حقيقي ؟ "" كان جوابي بالنفي ، انها لا تنضاف لبعضها البعض.
Mi ha detto: "" Tutti questi tweet, ... | Da ingegnere questo vuol dire che a seconda di quanto è grande il materiale posso cambiare dove finirà nel corpo.
| task1106_ted_translation_ar_it | NIv2 | fs_opt | 0 | train |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
Let me give you an example: وأعتقد أنه في القريب سوف ترى المرضى يعالجون بواسطة خلاياهم الجذعية المستخرجة من الدهون أو المستخرجة من الحيوانات
The answer to this example can be: Penso che abbastanza presto vedrete pazienti cur... | Tutto quello che dovete sapere, di tutta la matematica che avete imparato, disimparato, stipato, dimenticato, mai capito fin dall'inizio, tutto quello che dovete sapere è questo: Quando dico 2 elevato a 5 parlo di cinque volte il numero due, uno accanto all'altro moltiplicati, 2 x 2 x 2 x 2 x 2. | task1106_ted_translation_ar_it | NIv2 | fs_opt | 8 | train |
Detailed Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
Q: فنحن العاملين في الأمن الوطني ، و بالطبع في مجال البيولوجيا و الصحة العامة ، جميعاً قلقون.
A: | Siamo attivi nella comunità per la sicurezza nazionale, e anche nella comunità di biologia e in quella della pubblica sanità. | task1106_ted_translation_ar_it | NIv2 | zs_opt | 9 | train |
Definition: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
Input: ليس لأن لدينا الكثير منه.
Output: | Non perché ne abbiamo un sacco. | task1106_ted_translation_ar_it | NIv2 | zs_opt | 2 | train |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
[EX Q]: انه النحاس و الحديد المغلون.
[EX A]: È in rame e ferro galvanizzato.
[EX Q]: هذا القارب يساوي 1 مليون يورو إذا كان جديداً.
[EX A]: Questa barca vale un milione di Euro quando è nuova.
[EX Q]: وعلى مدى الخمس ساعات ا... | E nelle 5 ore successive se ne prese cura.
| task1106_ted_translation_ar_it | NIv2 | fs_opt | 6 | train |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
واحدة تدور الحرير من الذراع الروبوتية ، الاخرى تملأ الثغرات.
L'una tesse la seta tramite un braccio robotico, l'altra riempe i buchi.
ك. أ: شكرا جزيلا لمحادثتك.
CA: Grazie per il discorso.
وأخذت عينة من دمي قبل وبعد ذلك ، ... | Mi sono prelevato il sangue prima e dopo, e ho avuto un picco di ossitocina.
| task1106_ted_translation_ar_it | NIv2 | fs_opt | 0 | train |
Detailed Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
Q: أنا عالمة أعصاب ، وأقوم بدراسة صنع القرار.
A: | Sono una neuroscienziata, e studio i processi decisionali. | task1106_ted_translation_ar_it | NIv2 | zs_opt | 9 | train |
Definition: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
Input: حسنا ، الآن. لماذا هذه الاشياء لها رائحة قطعة العشب ، صحيح ؟
Output: | Dunque. Perché questa cosa profuma di erba tagliata? | task1106_ted_translation_ar_it | NIv2 | zs_opt | 2 | test |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
والكثير من الفتيات يتطلعن إلي | Molte ragazze mi guardano. | task1106_ted_translation_ar_it | NIv2 | zs_opt | 0 | validation |
Detailed Instructions: In this task, you are given two strings A,B. You must perform the following operations to generate the required output list: (i) Find the longest common substring in the strings A and B, (ii) Convert this substring to all lowercase and sort it alphabetically, (iii) Replace the substring at its re... | HzVTyyUvCXZXqRylEhCacdghimoppqrssvyzzzwefeGPbtjDBc, RynHacdghimoppqrssvyzzzQdE | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | NIv2 | zs_opt | 8 | train |
In this task, you are given two strings A,B. You must perform the following operations to generate the required output list: (i) Find the longest common substring in the strings A and B, (ii) Convert this substring to all lowercase and sort it alphabetically, (iii) Replace the substring at its respective positions in t... | mTnTbjlmrvwoPVoEGo, tUFULeQbjlmrvwJqaAO
| task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | NIv2 | fs_opt | 0 | train |
In this task, you are given two strings A,B. You must perform the following operations to generate the required output list: (i) Find the longest common substring in the strings A and B, (ii) Convert this substring to all lowercase and sort it alphabetically, (iii) Replace the substring at its respective positions in t... | inbdijmppswyzIC, SSbdijmppswyzULFhh
| task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | NIv2 | fs_opt | 0 | train |
Given the task definition and input, reply with output. In this task, you are given two strings A,B. You must perform the following operations to generate the required output list: (i) Find the longest common substring in the strings A and B, (ii) Convert this substring to all lowercase and sort it alphabetically, (iii... | ncdxqInnjbgghhlpsxxML, lXGEKbgghhlpsxxubEE | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | NIv2 | zs_opt | 5 | train |
Instructions: In this task, you are given two strings A,B. You must perform the following operations to generate the required output list: (i) Find the longest common substring in the strings A and B, (ii) Convert this substring to all lowercase and sort it alphabetically, (iii) Replace the substring at its respective ... | wRjQvGsbejklmuwGOr, iDNPDbejklmuwkjyUxE | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | NIv2 | zs_opt | 3 | train |
In this task, you are given two strings A,B. You must perform the following operations to generate the required output list: (i) Find the longest common substring in the strings A and B, (ii) Convert this substring to all lowercase and sort it alphabetically, (iii) Replace the substring at its respective positions in t... | Solution: dHWhWaTabghiiijkopppqqsxxkfsHpGMFuWDq, lRmabghiiijkopppqqsxxzwPaLvIWdiUn | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | NIv2 | fs_opt | 5 | train |
In this task, you are given two strings A,B. You must perform the following operations to generate the required output list: (i) Find the longest common substring in the strings A and B, (ii) Convert this substring to all lowercase and sort it alphabetically, (iii) Replace the substring at its respective positions in t... | Output: QhscOaYjWXCSrddffhhikppuuzFYH, MqddffhhikppuuzkUITeSMX
| task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | NIv2 | fs_opt | 2 | train |
Teacher:In this task, you are given two strings A,B. You must perform the following operations to generate the required output list: (i) Find the longest common substring in the strings A and B, (ii) Convert this substring to all lowercase and sort it alphabetically, (iii) Replace the substring at its respective positi... | jjnbisNgWbhhjlpssyyCqNGVV, bYeZbhhjlpssyyOjQaY | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | NIv2 | zs_opt | 6 | train |
Teacher:In this task, you are given two strings A,B. You must perform the following operations to generate the required output list: (i) Find the longest common substring in the strings A and B, (ii) Convert this substring to all lowercase and sort it alphabetically, (iii) Replace the substring at its respective positi... | RUobbEBLkNIAcPbcdffghmqrstuwwxxyyYnbmSxhIDiG, IAdKpEHbcdffghmqrstuwwxxyywdcie | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | NIv2 | zs_opt | 6 | test |
Definition: In this task, you are given two strings A,B. You must perform the following operations to generate the required output list: (i) Find the longest common substring in the strings A and B, (ii) Convert this substring to all lowercase and sort it alphabetically, (iii) Replace the substring at its respective po... | AoadffghhikppuvwxxyyynBRGwMuyEeRQvQ, gJuXxBDadffghhikppuvwxxyyyBJghuGNPC | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | NIv2 | zs_opt | 2 | validation |
You are given a paper review either in Spanish or English language. Based on the given review, evaluate the paper by classifying it to one of the five classes: (1) very negative, (2) negative, (3) neutral, (4) positive, and (5) very positive. Note that URLs in the text have been replaced with [Link].
Example Input: El... | very negative
| task266_paper_reviews_reviewer_perspective_classification | NIv2 | fs_opt | 3 | train |
instruction:
You are given a paper review either in Spanish or English language. Based on the given review, evaluate the paper by classifying it to one of the five classes: (1) very negative, (2) negative, (3) neutral, (4) positive, and (5) very positive. Note that URLs in the text have been replaced with [Link].
quest... | very negative
| task266_paper_reviews_reviewer_perspective_classification | NIv2 | fs_opt | 9 | train |
Definition: You are given a paper review either in Spanish or English language. Based on the given review, evaluate the paper by classifying it to one of the five classes: (1) very negative, (2) negative, (3) neutral, (4) positive, and (5) very positive. Note that URLs in the text have been replaced with [Link].
Input:... | very negative | task266_paper_reviews_reviewer_perspective_classification | NIv2 | zs_opt | 2 | train |
Teacher: You are given a paper review either in Spanish or English language. Based on the given review, evaluate the paper by classifying it to one of the five classes: (1) very negative, (2) negative, (3) neutral, (4) positive, and (5) very positive. Note that URLs in the text have been replaced with [Link].
Teacher: ... | very negative | task266_paper_reviews_reviewer_perspective_classification | NIv2 | fs_opt | 2 | train |
Definition: You are given a paper review either in Spanish or English language. Based on the given review, evaluate the paper by classifying it to one of the five classes: (1) very negative, (2) negative, (3) neutral, (4) positive, and (5) very positive. Note that URLs in the text have been replaced with [Link].
Input:... | very negative | task266_paper_reviews_reviewer_perspective_classification | NIv2 | zs_opt | 2 | train |
You will be given a definition of a task first, then some input of the task.
You are given a paper review either in Spanish or English language. Based on the given review, evaluate the paper by classifying it to one of the five classes: (1) very negative, (2) negative, (3) neutral, (4) positive, and (5) very positive. ... | positive | task266_paper_reviews_reviewer_perspective_classification | NIv2 | zs_opt | 1 | train |
Definition: You are given a paper review either in Spanish or English language. Based on the given review, evaluate the paper by classifying it to one of the five classes: (1) very negative, (2) negative, (3) neutral, (4) positive, and (5) very positive. Note that URLs in the text have been replaced with [Link].
Input:... | very positive | task266_paper_reviews_reviewer_perspective_classification | NIv2 | zs_opt | 2 | train |
You are given a paper review either in Spanish or English language. Based on the given review, evaluate the paper by classifying it to one of the five classes: (1) very negative, (2) negative, (3) neutral, (4) positive, and (5) very positive. Note that URLs in the text have been replaced with [Link].
El tema es de act... | very negative
| task266_paper_reviews_reviewer_perspective_classification | NIv2 | fs_opt | 0 | train |
TASK DEFINITION: You are given a paper review either in Spanish or English language. Based on the given review, evaluate the paper by classifying it to one of the five classes: (1) very negative, (2) negative, (3) neutral, (4) positive, and (5) very positive. Note that URLs in the text have been replaced with [Link].
P... | very positive
| task266_paper_reviews_reviewer_perspective_classification | NIv2 | fs_opt | 8 | test |
Q: You are given a paper review either in Spanish or English language. Based on the given review, evaluate the paper by classifying it to one of the five classes: (1) very negative, (2) negative, (3) neutral, (4) positive, and (5) very positive. Note that URLs in the text have been replaced with [Link].
El artículo cum... | neutral | task266_paper_reviews_reviewer_perspective_classification | NIv2 | zs_opt | 7 | validation |
Answer the following question given this paragraph: All combustion reactions are exothermic reactions. During a combustion reaction, a substance burns as it combines with oxygen. When substances burn, they usually give off energy as heat and light. Look at the big bonfire in the Figure below . The combustion of wood ... | evolutionary changes | sciq_Multiple_Choice | P3 | fs_opt | 0 | train |
Please answer the following question: Answer the following question given this paragraph: An electron is a particle outside the nucleus of an atom that has a negative electric charge. The charge of an electron is opposite but equal to the charge of a proton. Atoms have the same number of electrons as protons. As a re... | electron | sciq_Multiple_Choice | P3 | zs_opt | 9 | train |
Answer the following question given this paragraph: Occipital Bone The occipital bone is the single bone that forms the posterior skull and posterior base of the cranial cavity (Figure 7.9; see also Figure 7.8). On its outside surface, at the posterior midline, is a small protrusion called the external occipital prot... | A: water cycle | sciq_Multiple_Choice | P3 | fs_opt | 2 | train |
Answer the following question given this paragraph: Cartilage Cartilage is a connective tissue with a large amount of the matrix and variable amounts of fibers. The cells, called chondrocytes, make the matrix and fibers of the tissue. Chondrocytes are found in spaces within the tissue called lacunae. A cartilage with... | troposphere | sciq_Multiple_Choice | P3 | fs_opt | 0 | train |
Answer the following question: Answer the following question given this paragraph: Craters and rifts become lakes when they fill with water. Where does the water come from?. Q: What do craters and rifts become when the fill with water? Choices: - rivers - creeks - grasses - lakes A:
Answer: | lakes | sciq_Multiple_Choice | P3 | zs_opt | 5 | train |
Answer the following question given this paragraph: Earth gets its energy from the Sun. The Sun gives off photons of energy that travel in waves. All the wavelengths of the Sun’s energy make up the electromagnetic (EM) spectrum. Q: Where does the earth gets its energy from? Choices: - decomposers - precipitatio... | flagella | sciq_Multiple_Choice | P3 | fs_opt | 6 | train |
Answer the following question given this paragraph: Scientists create models with computers. Computers can handle enormous amounts of data. This can more accurately represent the real situation. For example, Earth’s climate depends on an enormous number of factors. Climate models can predict how climate will change a... | binary fission | sciq_Multiple_Choice | P3 | fs_opt | 7 | train |
Given the question: Answer the following question given this paragraph: As described in Section 1.7 "Introduction to the Periodic Table", the metals are on the bottom left in the periodic table, and the nonmetals are at the top right. The semimetals lie along a diagonal line separating the metals and nonmetals. In mo... | top right | sciq_Multiple_Choice | P3 | zs_noopt | 6 | train |
Ques:Answer the following question given this paragraph: Comets carry materials in from the outer solar system. Comets may have brought water into the early Earth. Other substances could also have come from comets. Q: What is rusting an example of? Choices: - radiation change - Decomposition - contamination ch... | electrolytic cell
----- | sciq_Multiple_Choice | P3 | fs_opt | 9 | test |
Answer the following question given this paragraph: An alkyl group is a group of atoms that results when one hydrogen atom is removed from an alkane. The group is named by replacing the -ane suffix of the parent hydrocarbon with -yl. For example, the CH3 group derived from methane (CH4) results from subtracting one h... | through intercellular clefts | sciq_Multiple_Choice | P3 | fs_opt | 1 | validation |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
[Q]: Tweet: “@_BitchBUH: Shoot that nigga and his shorty bitch 🔫😂&#... | false
| task905_hate_speech_offensive_classification | NIv2 | fs_opt | 5 | train |
Q: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: 😩 cunt
Label: Offensive
A: | true | task905_hate_speech_offensive_classification | NIv2 | zs_opt | 7 | train |
You will be given a definition of a task first, then some input of the task.
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: @Cash... | false | task905_hate_speech_offensive_classification | NIv2 | zs_opt | 1 | train |
You will be given a definition of a task first, then some input of the task.
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: @Linn... | true | task905_hate_speech_offensive_classification | NIv2 | zs_opt | 1 | train |
Instructions: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Input: Tweet: @GallagherEmily nigra in da back
Label: Neither
Output: | false | task905_hate_speech_offensive_classification | NIv2 | zs_opt | 3 | train |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Q: Tweet: @megann_17 you should make me brownies!
Label: Neither
A: | true | task905_hate_speech_offensive_classification | NIv2 | zs_opt | 4 | train |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Q: Tweet: @eanahS__ nips
Label: Neither
A: | true | task905_hate_speech_offensive_classification | NIv2 | zs_opt | 4 | train |
Given the task definition, example input & output, solve the new input case.
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Example: Twee... | true | task905_hate_speech_offensive_classification | NIv2 | fs_opt | 1 | train |
TASK DEFINITION: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
PROBLEM: Tweet: My arguement with she's the baddest white girl is "she's ... | false
| task905_hate_speech_offensive_classification | NIv2 | fs_opt | 8 | test |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Input: Tweet: Can't stand that faggot.
Label: Hate Speech
Output: | true | task905_hate_speech_offensive_classification | NIv2 | zs_opt | 2 | validation |
I am testing my students' logic. What is the answer they should choose between "treetops" and "air"? Logic test: A glider moves at a lower rate of speed through the treetops then through the air. Which surface is smoother? (A) treetops (B) air
air
------
I am testing my students' logic. What is the answer they should c... | dump truck with iron pellets
------ | quarel_testing_students | P3 | fs_opt | 5 | train |
Given the question: I am testing my students' logic. What is the answer they should choose between "sand" and "road"? Logic test: Jerry goes running on the same road everyday, but during vacation he decided to go running on the beach, he noticed that his time was much slower than normal and came to the conclusion that ... | road | quarel_testing_students | P3 | zs_noopt | 6 | train |
Given the question: I am testing my students' logic. What is the answer they should choose between "Dana" and "Alan"? Logic test: Dana just got down running a marathon. Alan just got done doing relaxing yoga. Who is sweating more? (A) Alan (B) Dana
The answer is: | Alan | quarel_testing_students | P3 | zs_noopt | 6 | train |
I am testing my students' logic. What is the answer they should choose between "thunder miles away" and "thunder very close by"? Logic test: A storm was approaching as a family sat in their home listening to the thunder. The thunder was not loud at first, but in time it was extremely loud and frightening. This is becau... | concrete road | quarel_testing_students | P3 | fs_opt | 0 | train |
I am testing my students' logic. What is the answer they should choose between "John" and "Driving"? Logic test: John is driving to get to his parents from the holidays, on his way there he sees a large water tower in his rearview mirror, as he continues to drive, that water tower will (A) appear smaller or (B) appear ... | John | quarel_testing_students | P3 | zs_noopt | 1 | train |
(Q).
I am testing my students' logic. What is the answer they should choose between "tree" and "paper"? Logic test: Marty writes a letter on a sheet of paper. Later he tries using the pen to draw something on a tree outside. The tip of the pen produces more heat when he uses it against the tree. This is because the ___... | Jake | quarel_testing_students | P3 | fs_opt | 8 | train |
I am testing my students' logic. What is the answer they should choose between "Milo" and "Jimbo"? Logic test: Jimbo and Milo grew up together. Both men always knew that Jimbo wasn't as strong as Milo. If both men tossed a football, which could throw it a greater distance? (A) Jimbo (B) Milo
The answer to this question... | Jimbo | quarel_testing_students | P3 | zs_opt | 7 | train |
Q: I am testing my students' logic. What is the answer they should choose between "cement" and "grass"? Logic test: Josh is practicing on his skateboard. He can go pretty fast on the cement, but when he goes onto the grass he slows down a lot. This is because the _____ is smoother. (A) cement (B) grass
A: cement
Q: I... | A: first little pig | quarel_testing_students | P3 | fs_opt | 2 | train |
Question: I am testing my students' logic. What is the answer they should choose between "table" and "carpet"? Logic test: Joe is a really terrible pool player. He often strikes the ball to hard and causes it to leap off the table. He notices that the ball rolls further when it stays on the table than it does when it l... | carpet | quarel_testing_students | P3 | zs_noopt | 4 | test |
Question: I am testing my students' logic. What is the answer they should choose between "UPS" and "USPS"? Logic test: Bob sent a package via USPS and a package via UPS. The package he sent via UPS arrived first. Which parcel service was slower (A) USPS was slower (B) UPS was slower
Answer: | UPS | quarel_testing_students | P3 | zs_opt | 4 | validation |
Given a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact
One example is below.
Q: English sentence: How is this possible
A: Olee kwere omume?
Rationale: The Igbo translation means the same as the original sentence in the English language.
Q: Engli... | 17 Juda na ala Israel, ndi ahu bu ndi-ahia-gi: ọka wheat nke Minit, na pannag, na manu-aṅu, na manu, na balm, ka ha jiri zu ihe-ahia-gi. | task452_opus_paracrawl_en_ig_translation | NIv2 | fs_opt | 9 | train |
Detailed Instructions: Given a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact
Q: English sentence: Nórdico antiguo - Ayerrerenge Nórdico antiguo - Ayi (Papua New Guinea)
A: | Ososo - Ayerrerenge Ososo - Ayi (Papua New Guinea) | task452_opus_paracrawl_en_ig_translation | NIv2 | zs_opt | 9 | train |
Definition: Given a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact
Input: English sentence: Activity associated with movement is one of the easiest types of brain activity to detect and reproduce.
Output: | Arụ Ọrụ metụtara ije bụ otu n'ime ndị kacha ụdị nke ụbụrụ ọrụ ịchọpụta na mụta nwa. | task452_opus_paracrawl_en_ig_translation | NIv2 | zs_opt | 2 | train |
Given a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact
Q: English sentence: The company makes a good faith effort to identify any repeat infringers on this list pursuant to the safe harbor requirements of the DMCA.
A: | The ụlọ ọrụ na-eme ka a ezi okwukwe mgbalị iji mata ihe ọ bụla megharịa infringers na ndepụta a nsonye ka Ọdụ Nchekwa chọrọ nke DMCA. Mmezitụ | task452_opus_paracrawl_en_ig_translation | NIv2 | zs_opt | 4 | train |
Instructions: Given a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact
Input: English sentence: Much needed for this father of three girls, and husband to an author and speaker whose message has changed from the challenges of marriage and motherho... | Mkpa nke ukwuu n'ihi na nke a nna ụmụ agbọghọ atọ, na di na-ede akwụkwọ na-ekwu okwu onye ozi agbanweela si ịma aka nke alụmdi na nwunye na nne na-anọgidesi ike mgbe niile yiri efu. | task452_opus_paracrawl_en_ig_translation | NIv2 | zs_opt | 3 | train |
Definition: Given a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact
Input: English sentence: Every casino operates under a license and has a guarantee fund – that is, the deposit that if anything can go either to win payment or license.
Output: | Ụlọọrụ ọ bụla na-arụ ọrụ n'okpuru ikikere ma nwee ego nkwenye - ya bụ, ịkwụ ụgwọ na ọ bụrụ na ihe ọ bụla nwere ike ịga ma ọ bụ iji nweta ụgwọ ma ọ bụ ikikere. | task452_opus_paracrawl_en_ig_translation | NIv2 | zs_opt | 2 | train |
Detailed Instructions: Given a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact
Q: English sentence: Discover methods for installing, orienting, and mounting adventures to make certain efficient installment, electrical arrangement, or program pres... | Chọpụta ụzọ wụnye, orienting, na-arịọnụ ahụmahụ na-eme ka ụfọdụ oru oma nkeji nkeji, eletriki ndokwa, ma ọ bụ usoro ihe omume ichebe. | task452_opus_paracrawl_en_ig_translation | NIv2 | zs_opt | 9 | train |
Given the task definition, example input & output, solve the new input case.
Given a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact
Example: English sentence: How is this possible
Output: Olee kwere omume?
The Igbo translation means the same as ... | Chọta kasị mma tiketi niile agbachitere Njikọ egwuregwu a oge. Ịzụta tiketi na-ahụ na-ekiri ndị kasị mma nke kacha mma na European na English football mpi maka UEFA agbachitere Njikọ lụtara Sorogfesport | task452_opus_paracrawl_en_ig_translation | NIv2 | fs_opt | 1 | train |
Given a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact
[Q]: English sentence: We've heard people say, "Nothing in life is sure but death and taxes."
[A]: Anyị na na na nụrụ ndị na-ekwu, "Ọ dịghị ihe dị ndụ bụ n'aka ma ọnwụ na ụtụ isi."
[Q]: E... | 'Abụ m kwa erughị eru.'
| task452_opus_paracrawl_en_ig_translation | NIv2 | fs_opt | 5 | test |
Part 1. Definition
Given a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact
Part 2. Example
English sentence: How is this possible
Answer: Olee kwere omume?
Explanation: The Igbo translation means the same as the original sentence in the English l... | The ike ịsụgharị androgenic na anabolic mmetụta n'ụzọ dị irè karị karịa ndị ọzọ Steroid bụ ihe mere ọtụtụ na-eme egwuregwu na-ahọrọ ọ na-. | task452_opus_paracrawl_en_ig_translation | NIv2 | fs_opt | 7 | validation |
Q: Sydney was watching her friends house over their holiday, and was told to feed their dog. Given the question "How would Sydney feel afterwards?", is "helpful and caring" a valid answer?
pick from the following.
a). Yes;
b). No;
The answer is: | a). | social_i_qa_Check_if_a_random_answer_is_valid_or_not | P3 | zs_opt | 9 | train |
Q: Lee went and talked to a therapist when Lee accumulated a lot stresses and the depression got worse. Given the question "Why did Lee do this?", is "went and talked to a therapist next" a valid answer?
Available options:
a). Yes.
b). No.
The answer is: | b). | social_i_qa_Check_if_a_random_answer_is_valid_or_not | P3 | zs_opt | 9 | train |
Q: Bailey was a great success in school. Given the question "what did Bailey do before this?", is "get a good job" a valid answer? | OPTIONS:
- Yes
- No
A: No
Q: Carson met their sister at the store and gave her some money for the groceries. Given the question "How would you describe Carson?", is "giving" a valid an... | A: Yes | social_i_qa_Check_if_a_random_answer_is_valid_or_not | P3 | fs_opt | 2 | train |
Sasha was being more active and it was a nice day outside. Given the question "Why did Sasha do this?", is "wanted to enjoy nature" a valid answer?
Answer: | Yes | social_i_qa_Check_if_a_random_answer_is_valid_or_not | P3 | zs_noopt | 1 | train |
Answer the following question: Aubrey made a film about animals and played it for the whole school at the talent show. Given the question "What will happen to Others?", is "enjoy the film" a valid answer?
OPTIONS:
a). Yes.
b). No.
Answer: | a). | social_i_qa_Check_if_a_random_answer_is_valid_or_not | P3 | zs_opt | 4 | train |
Available choices:
A). Yes.
B). No.
Given those answer options, answer the question: Taylor removed the horrible burnt smell from the air by opening the window in the kitchen. Given the question "How would their family feel as a result?", is "very satisfied" a valid answer?
A: | A). | social_i_qa_Check_if_a_random_answer_is_valid_or_not | P3 | zs_opt | 8 | train |
Q: Austin protested too much against his girlfriend's abortion but he realized did not want a baby either. Given the question "How would Austin feel afterwards?", is "guilty and regretful" a valid answer? | OPTIONS:
- Yes
- No
A: Yes
Q: Tracy sorted the data into tables and analyzed it to draw a conclusion. Given th... | A: No | social_i_qa_Check_if_a_random_answer_is_valid_or_not | P3 | fs_opt | 2 | train |
Q: Quinn was located in the Sydney area which was an unfamiliar place to her. Given the question "How would Quinn feel afterwards?", is "warm" a valid answer?
Possible answers: A. Yes. B. No.
A: | B. | social_i_qa_Check_if_a_random_answer_is_valid_or_not | P3 | zs_opt | 3 | train |
Quinn spent the money but then worked hard to start saving it again. Given the question "What will Quinn want to do next?", is "spend more money next" a valid answer?
OPTIONS:
- Yes
- No
Answer: No
Even though they were broke, Sydney paid a lot of money for the tickets, using loans from friends. Given the question... | No | social_i_qa_Check_if_a_random_answer_is_valid_or_not | P3 | fs_opt | 1 | test |
Alex carefully followed the car to downtown to meet people for a party. Given the question "Why did Alex do this?", is "loved" a valid answer?
The answer is: | No | social_i_qa_Check_if_a_random_answer_is_valid_or_not | P3 | zs_noopt | 7 | validation |
Definition: In this task, you're given a text which is the body of the document. Indicate your answer as "Yes" if the text is about a person, otherwise indicate your answer as "No". Don't generate anything else apart from "Yes" or "No". Pay attention that for your answer to be "Yes", the passage should be generally abo... | No | task632_dbpedia_14_classification | NIv2 | zs_opt | 2 | train |
Detailed Instructions: In this task, you're given a text which is the body of the document. Indicate your answer as "Yes" if the text is about a person, otherwise indicate your answer as "No". Don't generate anything else apart from "Yes" or "No". Pay attention that for your answer to be "Yes", the passage should be ge... | Yes | task632_dbpedia_14_classification | NIv2 | zs_opt | 9 | train |
In this task, you're given a text which is the body of the document. Indicate your answer as "Yes" if the text is about a person, otherwise indicate your answer as "No". Don't generate anything else apart from "Yes" or "No". Pay attention that for your answer to be "Yes", the passage should be generally about a person.... | Yes | task632_dbpedia_14_classification | NIv2 | zs_opt | 0 | train |
TASK DEFINITION: In this task, you're given a text which is the body of the document. Indicate your answer as "Yes" if the text is about a person, otherwise indicate your answer as "No". Don't generate anything else apart from "Yes" or "No". Pay attention that for your answer to be "Yes", the passage should be generall... | No
| task632_dbpedia_14_classification | NIv2 | fs_opt | 8 | train |
In this task, you're given a text which is the body of the document. Indicate your answer as "Yes" if the text is about a person, otherwise indicate your answer as "No". Don't generate anything else apart from "Yes" or "No". Pay attention that for your answer to be "Yes", the passage should be generally about a person.... | Solution: No | task632_dbpedia_14_classification | NIv2 | fs_opt | 5 | train |
In this task, you're given a text which is the body of the document. Indicate your answer as "Yes" if the text is about a person, otherwise indicate your answer as "No". Don't generate anything else apart from "Yes" or "No". Pay attention that for your answer to be "Yes", the passage should be generally about a person.... | Yes
****
| task632_dbpedia_14_classification | NIv2 | fs_opt | 4 | train |
Detailed Instructions: In this task, you're given a text which is the body of the document. Indicate your answer as "Yes" if the text is about a person, otherwise indicate your answer as "No". Don't generate anything else apart from "Yes" or "No". Pay attention that for your answer to be "Yes", the passage should be ge... | Yes | task632_dbpedia_14_classification | NIv2 | zs_opt | 8 | train |
Part 1. Definition
In this task, you're given a text which is the body of the document. Indicate your answer as "Yes" if the text is about a person, otherwise indicate your answer as "No". Don't generate anything else apart from "Yes" or "No". Pay attention that for your answer to be "Yes", the passage should be genera... | Yes | task632_dbpedia_14_classification | NIv2 | fs_opt | 7 | train |
instruction:
In this task, you're given a text which is the body of the document. Indicate your answer as "Yes" if the text is about a person, otherwise indicate your answer as "No". Don't generate anything else apart from "Yes" or "No". Pay attention that for your answer to be "Yes", the passage should be generally ab... | No
| task632_dbpedia_14_classification | NIv2 | fs_opt | 9 | test |
Given the task definition and input, reply with output. In this task, you're given a text which is the body of the document. Indicate your answer as "Yes" if the text is about a person, otherwise indicate your answer as "No". Don't generate anything else apart from "Yes" or "No". Pay attention that for your answer to b... | No | task632_dbpedia_14_classification | NIv2 | zs_opt | 5 | validation |
instruction:
In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are fine labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpu... | WRB
| task584_udeps_eng_fine_pos_tagging | NIv2 | fs_opt | 9 | train |
In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are fine labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is : '$': D... | Solution: VB | task584_udeps_eng_fine_pos_tagging | NIv2 | fs_opt | 5 | train |
TASK DEFINITION: In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are fine labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this c... | VBN
| task584_udeps_eng_fine_pos_tagging | NIv2 | fs_opt | 8 | train |
Given the task definition, example input & output, solve the new input case.
In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are fine labels that represent a category of words with similar grammatical prop... | -RRB- | task584_udeps_eng_fine_pos_tagging | NIv2 | fs_opt | 1 | train |
Instructions: In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are fine labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corp... | VBP | task584_udeps_eng_fine_pos_tagging | NIv2 | zs_opt | 3 | train |
In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are fine labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is : '$': D... | PRP$ | task584_udeps_eng_fine_pos_tagging | NIv2 | zs_opt | 4 | train |
instruction:
In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are fine labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpu... | CC
| task584_udeps_eng_fine_pos_tagging | NIv2 | fs_opt | 9 | train |
Q: In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are fine labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is : '$'... | MD | task584_udeps_eng_fine_pos_tagging | NIv2 | zs_opt | 7 | train |
Detailed Instructions: In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are fine labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of ... | `` | task584_udeps_eng_fine_pos_tagging | NIv2 | fs_opt | 4 | test |
You will be given a definition of a task first, then some input of the task.
In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are fine labels that represent a category of words with similar grammatical prop... | WRB | task584_udeps_eng_fine_pos_tagging | NIv2 | zs_opt | 1 | validation |
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