source stringlengths 17 501k | target stringlengths 0 8.23k | task_name stringlengths 8 85 | task_source stringclasses 4
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Detailed Instructions: In this task, you're given passages that contain mentions of names of people, places, or things. Some of these mentions refer to the same person, place, or thing. Your job is to write questions that evaluate one's understanding of such references. Good questions are expected to link pronouns (she... | When did Beyonce have her first child? | task739_lhoestq_question_generation | NIv2 | zs_opt | 9 | train |
Detailed Instructions: In this task, you're given passages that contain mentions of names of people, places, or things. Some of these mentions refer to the same person, place, or thing. Your job is to write questions that evaluate one's understanding of such references. Good questions are expected to link pronouns (she... | What national disaster caused Beyonce to create the Survivor Foundation? | task739_lhoestq_question_generation | NIv2 | zs_opt | 9 | train |
Given the task definition, example input & output, solve the new input case.
In this task, you're given passages that contain mentions of names of people, places, or things. Some of these mentions refer to the same person, place, or thing. Your job is to write questions that evaluate one's understanding of such referen... | Beyonce got married in 2008 to whom? | task739_lhoestq_question_generation | NIv2 | fs_opt | 1 | train |
In this task, you're given passages that contain mentions of names of people, places, or things. Some of these mentions refer to the same person, place, or thing. Your job is to write questions that evaluate one's understanding of such references. Good questions are expected to link pronouns (she, her, him, his, their,... | Pop Songwriter of the Year award in 2001 was awarded to whom? | task739_lhoestq_question_generation | NIv2 | zs_opt | 4 | train |
In this task, you're given passages that contain mentions of names of people, places, or things. Some of these mentions refer to the same person, place, or thing. Your job is to write questions that evaluate one's understanding of such references. Good questions are expected to link pronouns (she, her, him, his, their,... | Output: What was Notre Dame's first college?
| task739_lhoestq_question_generation | NIv2 | fs_opt | 2 | train |
Detailed Instructions: In this task, you're given passages that contain mentions of names of people, places, or things. Some of these mentions refer to the same person, place, or thing. Your job is to write questions that evaluate one's understanding of such references. Good questions are expected to link pronouns (she... | House of Dereon became known through Beyonce and which of Beyonce's relatives? | task739_lhoestq_question_generation | NIv2 | fs_opt | 4 | train |
In this task, you're given passages that contain mentions of names of people, places, or things. Some of these mentions refer to the same person, place, or thing. Your job is to write questions that evaluate one's understanding of such references. Good questions are expected to link pronouns (she, her, him, his, their,... | What is Congregation of Holy Cross in Latin? | task739_lhoestq_question_generation | NIv2 | fs_opt | 3 | train |
In this task, you're given passages that contain mentions of names of people, places, or things. Some of these mentions refer to the same person, place, or thing. Your job is to write questions that evaluate one's understanding of such references. Good questions are expected to link pronouns (she, her, him, his, their,... | Destiny's Child released a compilation album about which topic? | task739_lhoestq_question_generation | NIv2 | zs_opt | 0 | train |
Definition: In this task, you're given passages that contain mentions of names of people, places, or things. Some of these mentions refer to the same person, place, or thing. Your job is to write questions that evaluate one's understanding of such references. Good questions are expected to link pronouns (she, her, him,... | In what year did Albert Zahm begin comparing aeronatical models at Notre Dame? | task739_lhoestq_question_generation | NIv2 | zs_opt | 2 | test |
In this task, you're given passages that contain mentions of names of people, places, or things. Some of these mentions refer to the same person, place, or thing. Your job is to write questions that evaluate one's understanding of such references. Good questions are expected to link pronouns (she, her, him, his, their,... | What type of educational institute is Hesburgh given credit for creating at Notre Dame? | task739_lhoestq_question_generation | NIv2 | fs_opt | 3 | validation |
TASK DEFINITION: A text is given in Malayalam. Translate it from the Malayalam language to the Oriya language. The translation must not omit or add information to the original sentence.
PROBLEM: നല്ല ആരോഗ്യവും അനുകൂല സ്ഥിതിയും ഉള്ളതാകട്ടെ പുതുവര്ഷം.
SOLUTION: ‘ଭାରତର ବିବିଧତା ତାର ପରିଚୟ ଓ ସାମର୍ଥ୍ୟ ’ଉଗାଡ଼ି ମିଲନ୍ କାର୍ଯ୍ୟକ... | 32 କୋଟି ଟଙ୍କାର ଆର୍ଥିକ ଆବଂଟନ ଅଧୀନରେ ରାଜ୍ୟରେ ଦୁଇ ତୃତୀୟାଂଶ ଦୁର୍ବଳ ପରିବାରଗୁଡ଼ିକୁ ଅନ୍ତର୍ଭୁକ୍ତ କରିବା ଲାଗି ସମୟସୀମା ବଢ଼ାଇବାକୁ ଅନୁମୋଦନ କରାଯାଇଛି । 2018-19 ସମୟରେ ଗୋଟିଏ ବର୍ଷ ଲାଗି 143.
| task979_pib_translation_malayalam_oriya | NIv2 | fs_opt | 8 | train |
instruction:
A text is given in Malayalam. Translate it from the Malayalam language to the Oriya language. The translation must not omit or add information to the original sentence.
question:
നൂറ്റിയിരുപത്തിയഞ്ചു കോടി ജനങ്ങൾ ആഗസ്റ്റ് 9 എന്ന വിപ്ലവദിനത്തെ ഓർത്തുകൊണ്ട് വ്യക്തിയെ നിലയിലും പൗരനെന്ന നിലയിലും ഈ ദൃനിശ്ചയമെടുക... | ଦକ୍ଷିଣ ଏସିଆ ଉପକ୍ଷେତ୍ରୀୟ ଆର୍ଥିକ ସହଯୋଗ ସଂଗଠନ “ଏସଏଏସଇସି” ସଦସ୍ୟ ରାଷ୍ଟ୍ର ଅର୍ଥମନ୍ତ୍ରୀସ୍ତରୀୟ ବୈଠକରେ ଆଜି ମିଳିତ ମନ୍ତ୍ରିସ୍ତରୀୟ ବିବୃତ୍ତି ଜାରି କରାଯାଇଛି । ଅର୍ଥମନ୍ତ୍ରୀ ଶ୍ରୀ ଅରୁଣ ଜେଟଲୀ ଏହି ମିଳିତ ଘୋଷଣାନାମା ସମ୍ପର୍କୀତ ଅଭିଭାଷଣ ପ୍ରଦାନ କରିଛନ୍ତି ।
| task979_pib_translation_malayalam_oriya | NIv2 | fs_opt | 9 | train |
A text is given in Malayalam. Translate it from the Malayalam language to the Oriya language. The translation must not omit or add information to the original sentence.
[Q]: 2500 വര്ഷങ്ങള്ക്ക് മുമ്പ് ഗൗതമ ബുദ്ധന് പറഞ്ഞു.
[A]: 71 ତମ ସ୍ୱାଧୀନତା ଦିବସରେ ଲାଲକିଲ୍ଲାରୁ ଦେଶବାସୀଙ୍କୁ ପ୍ରଧାନମନ୍ତ୍ରୀଙ୍କ ଉଦବୋଧନ
[Q]: 370ഉം 35 എയു... | ଏହି ଅବସରରେ ସିଆରପିଏଫ୍ ଡିଜି ଆର ଆର ଭଟ୍ଟନଗର 1939ରେ ସିଆରପିଏଫର ଯାତ୍ରା ଆରମ୍ଭ ପରେ ଯବାନମାନେ ଦେଖାଇଥିବା ଅନେକ ବୀରତ୍ୱର କାହାଣୀ ବର୍ଣ୍ଣନା କରିଥିଲେ । ବିଗତ ଏକ ବର୍ଷ ମଧ୍ୟରେ ସିଆରପିଏଫର ଅପରେସନ ଯୋଗୁ ଜାମ୍ମୁ-କାଶ୍ମୀର, ଉତ୍ତର-ପୂର୍ବ ଏବଂ ବାମନ୍ଥୀ ପ୍ରଭାବିତ ଅଞ୍ଚଳରେ 172 ଆତଙ୍କବାଦୀ ଏବଂ ଅନେକ ମାଓବାଦୀ ନିହତ ହୋଇଛନ୍ତି । ସର୍ବଦା ଆଭ୍ୟନ୍ତରୀଣ ନିରାପତ୍ତା ଉପରେ ସୃଷ୍ଟି ହେ... | task979_pib_translation_malayalam_oriya | NIv2 | fs_opt | 5 | train |
A text is given in Malayalam. Translate it from the Malayalam language to the Oriya language. The translation must not omit or add information to the original sentence.
[EX Q]: സാമൂഹ്യനീതി, ശാക്തീകരണ മന്ത്രാലയം
[EX A]: ଚାରୋଟି ଅତିରିକ୍ତ ରାଷ୍ଟ୍ରୀୟ ବିପର୍ଯ୍ୟୟ ପ୍ରଶମନ ବାଟାଲିୟନ ଗଠନ ପ୍ରସ୍ତାବକୁ କ୍ୟାବିନେଟ ଅନୁମୋଦନ
[EX Q]: കൊച്ചി... | ଶ୍ରୀ ନରେନ୍ଦ୍ର ମୋଦୀ କହିଥିଲେ ଯେ ସଂଯୋଗ ଏବଂ ଉନ୍ନୟନ ମଧ୍ୟରେ ଏକ ସିଧାସଳଖ ସଂପୃକ୍ତି ରହିଛି । ସେ କହିଲେ ଯେ ମେଟ୍ରୋ ଦ୍ୱାରା ଏହି ଅଂଚଳରେ ଅଧିକ ନିଯୁକ୍ତି ସୁଯୋଗ ସୃଷ୍ଟି ହେବ ।
| task979_pib_translation_malayalam_oriya | NIv2 | fs_opt | 6 | train |
A text is given in Malayalam. Translate it from the Malayalam language to the Oriya language. The translation must not omit or add information to the original sentence.
Input: Consider Input: ഇന്ത്യയിലെ ഏറ്റവും മികച്ച രാഷ്ട്രിയ നേതൃത്വത്തിന്റെ പ്രതിനിധിയായിരുന്നു ജോര്ജ് സാഹബ് എന്നു പ്രധാനമന്ത്രി പറഞ്ഞു.
Output: ବିଦ୍... | Output: ସଫାସଫି ଏବଂ ପ୍ରବନ୍ଧନ ଅନୁବନ୍ଧ, ପ୍ରଶିକ୍ଷଣ ବ୍ୟୟ, ବିବିଧ ଓ ଆକସ୍ମିକ ଗତିବିଧିକୁ ତର୍କସଂଗତ କରିବା ଏବଂ ମଞ୍ଜୁରି ପ୍ରଦାନ କରିବା ପାଇଁ ଡିଆରଡିଓ ମୁଖ୍ୟାଳୟରେ ଫାଇଲ କାର୍ଯ୍ୟ କମ କରିବା ପାଇଁ ନିର୍ଦ୍ଦେଶକ ଏବଂ ମହାନିର୍ଦ୍ଦେଶକ ସ୍ତରରେ ଅଧିକାର ପ୍ରଦାନ କରାଯାଇଛି ।
| task979_pib_translation_malayalam_oriya | NIv2 | fs_opt | 2 | train |
Detailed Instructions: A text is given in Malayalam. Translate it from the Malayalam language to the Oriya language. The translation must not omit or add information to the original sentence.
Problem:'കുല്ദീപ് നയ്യാര് നമ്മുടെ കാലത്തെ വലിയ ബുദ്ധിജീവിയായിരുന്നു വീക്ഷണങ്ങളിലെ വിശാലതയും, നിര്ഭയത്വവുംകൊണ്ട് അദ്ദേഹം നിരവധ... | 89 କୋଟି ପ୍ରାର୍ଥୀ ଆବେଦନ କରିଛନ୍ତି । ଆରପିଏଫରେ କନଷ୍ଟବଲ ଓ ସବ-ଇନ୍ସପେକ୍ଟର ପଦବି ପାଇଁ ପ୍ରାୟ 58 ଲକ୍ଷ ଓ 14 ଲକ୍ଷ ପ୍ରାର୍ଥୀ ଆବେଦନ କରିଛନ୍ତି । | task979_pib_translation_malayalam_oriya | NIv2 | zs_opt | 8 | train |
A text is given in Malayalam. Translate it from the Malayalam language to the Oriya language. The translation must not omit or add information to the original sentence.
One example is below.
Q: പകരം, പരിശ്രമം ഇരട്ടിയായി വര്ദ്ധിപ്പിക്കുകയാണ് ചെയ്തത്
A: ଏହା ପରିବର୍ତ୍ତେ, ପ୍ରୟାସକୁ ଦୁଇଗୁଣ କରିବାକୁ ବୃଦ୍ଧି କରାଯାଇଥିଲା |
Rationa... | ବାହାଦୁରଗଡ- ମୁଣ୍ଡକା ମେଟ୍ରୋ ଲାଇନକୁ ଭିଡିଓ କନଫେରେନ୍ସ ଯୋଗେ ଉଦଘାଟନ କଲେ ପ୍ରଧାନମନ୍ତ୍ରୀ | task979_pib_translation_malayalam_oriya | NIv2 | fs_opt | 9 | train |
A text is given in Malayalam. Translate it from the Malayalam language to the Oriya language. The translation must not omit or add information to the original sentence.
Ex Input:
ഇതിലൂടെ, വിത്ത് വിതരണം മുതല് അവന്റെ ഉത്പന്നത്തിന്റെ വിപണനം വരെ കര്ഷകരെ കൈപിടിച്ച് നടത്തുന്നത് ഉറപ്പാക്കുന്നതിനുള്ള സംവിധാനമുണ്ടാക്കേണ്ടതാണ... | ଆମେ ସବୁ ମିଳମିଶି ଏଭଳି ଏକ ଭାରତ ନିର୍ମାଣ କରିବା, ଯାହା ସ୍ୱଚ୍ଛ ହେବ, ସୁସ୍ଥ ହେବ ଏବଂ ସ୍ୱରାଜର ସ୍ୱପ୍ନକୁ ପୁରଣ କରିବ ।
| task979_pib_translation_malayalam_oriya | NIv2 | fs_opt | 1 | train |
A text is given in Malayalam. Translate it from the Malayalam language to the Oriya language. The translation must not omit or add information to the original sentence.
One example is below.
Q: പകരം, പരിശ്രമം ഇരട്ടിയായി വര്ദ്ധിപ്പിക്കുകയാണ് ചെയ്തത്
A: ଏହା ପରିବର୍ତ୍ତେ, ପ୍ରୟାସକୁ ଦୁଇଗୁଣ କରିବାକୁ ବୃଦ୍ଧି କରାଯାଇଥିଲା |
Rationa... | ପରିଣାମ ଉପରେ ଧ୍ୟାନ ଦିଅନ୍ତୁ: | task979_pib_translation_malayalam_oriya | NIv2 | fs_opt | 9 | test |
Instructions: A text is given in Malayalam. Translate it from the Malayalam language to the Oriya language. The translation must not omit or add information to the original sentence.
Input: നമ്മുടെ പരമാധികാര രാഷ്ട്രവും നാം ആഗ്രഹിച്ച ഇന്ത്യയും രൂപപ്പെടുത്തുന്നതിനുള്ള സഹകരണാടിസ്ഥാനത്തിലുള്ള ശ്രമങ്ങളെ നിര്വചിക്കുന്ന മൂന്... | ଆମ ସହଭାଗୀ ଐତିହ୍ୟକୁ ପାଳନ କରିବାକୁ ଯାଇ ଆମେ ମଧ୍ୟ ସ୍ମାରକୀ ଡାକ ଟିକଟର ଏକ ସେଟ ଜାରି କରିଛୁ । | task979_pib_translation_malayalam_oriya | NIv2 | zs_opt | 3 | validation |
Q: This task involves creating answers to complex questions, from a given passage. Answering these questions, typically involve understanding multiple sentences. Make sure that your answer has the same type as the "answer type" mentioned in input. The provided "answer type" can be of any of the following types: "span",... | 1. | task028_drop_answer_generation | NIv2 | zs_opt | 7 | train |
This task involves creating answers to complex questions, from a given passage. Answering these questions, typically involve understanding multiple sentences. Make sure that your answer has the same type as the "answer type" mentioned in input. The provided "answer type" can be of any of the following types: "span", "d... | 13. | task028_drop_answer_generation | NIv2 | fs_opt | 3 | train |
Part 1. Definition
This task involves creating answers to complex questions, from a given passage. Answering these questions, typically involve understanding multiple sentences. Make sure that your answer has the same type as the "answer type" mentioned in input. The provided "answer type" can be of any of the followin... | {'day': '1', 'month': 'November', 'year': '1918'}. | task028_drop_answer_generation | NIv2 | fs_opt | 7 | train |
Definition: This task involves creating answers to complex questions, from a given passage. Answering these questions, typically involve understanding multiple sentences. Make sure that your answer has the same type as the "answer type" mentioned in input. The provided "answer type" can be of any of the following types... | 63. | task028_drop_answer_generation | NIv2 | zs_opt | 2 | train |
This task involves creating answers to complex questions, from a given passage. Answering these questions, typically involve understanding multiple sentences. Make sure that your answer has the same type as the "answer type" mentioned in input. The provided "answer type" can be of any of the following types: "span", "d... | 6.
| task028_drop_answer_generation | NIv2 | fs_opt | 1 | train |
This task involves creating answers to complex questions, from a given passage. Answering these questions, typically involve understanding multiple sentences. Make sure that your answer has the same type as the "answer type" mentioned in input. The provided "answer type" can be of any of the following types: "span", "d... | 2.
| task028_drop_answer_generation | NIv2 | fs_opt | 3 | train |
Detailed Instructions: This task involves creating answers to complex questions, from a given passage. Answering these questions, typically involve understanding multiple sentences. Make sure that your answer has the same type as the "answer type" mentioned in input. The provided "answer type" can be of any of the foll... | 0. | task028_drop_answer_generation | NIv2 | zs_opt | 9 | train |
This task involves creating answers to complex questions, from a given passage. Answering these questions, typically involve understanding multiple sentences. Make sure that your answer has the same type as the "answer type" mentioned in input. The provided "answer type" can be of any of the following types: "span", "d... | 2. | task028_drop_answer_generation | NIv2 | fs_opt | 6 | train |
Detailed Instructions: This task involves creating answers to complex questions, from a given passage. Answering these questions, typically involve understanding multiple sentences. Make sure that your answer has the same type as the "answer type" mentioned in input. The provided "answer type" can be of any of the foll... | 47. | task028_drop_answer_generation | NIv2 | zs_opt | 8 | test |
This task involves creating answers to complex questions, from a given passage. Answering these questions, typically involve understanding multiple sentences. Make sure that your answer has the same type as the "answer type" mentioned in input. The provided "answer type" can be of any of the following types: "span", "d... | 1700.
| task028_drop_answer_generation | NIv2 | fs_opt | 0 | validation |
In this task, you're given a context passage, a question, and three answer options. Your task is to return an incorrect answer option to the question from the choices given. For all questions, only one of the three answer options is correct. Pick one of the two incorrect answer options as the output.
Ex Input:
Context... | C
| task385_socialiqa_incorrect_answer_generation | NIv2 | fs_opt | 1 | train |
In this task, you're given a context passage, a question, and three answer options. Your task is to return an incorrect answer option to the question from the choices given. For all questions, only one of the three answer options is correct. Pick one of the two incorrect answer options as the output.
--------
Question:... | C
| task385_socialiqa_incorrect_answer_generation | NIv2 | fs_opt | 7 | train |
TASK DEFINITION: In this task, you're given a context passage, a question, and three answer options. Your task is to return an incorrect answer option to the question from the choices given. For all questions, only one of the three answer options is correct. Pick one of the two incorrect answer options as the output.
P... | C
| task385_socialiqa_incorrect_answer_generation | NIv2 | fs_opt | 8 | train |
Detailed Instructions: In this task, you're given a context passage, a question, and three answer options. Your task is to return an incorrect answer option to the question from the choices given. For all questions, only one of the three answer options is correct. Pick one of the two incorrect answer options as the out... | C | task385_socialiqa_incorrect_answer_generation | NIv2 | zs_opt | 9 | train |
In this task, you're given a context passage, a question, and three answer options. Your task is to return an incorrect answer option to the question from the choices given. For all questions, only one of the three answer options is correct. Pick one of the two incorrect answer options as the output.
[Q]: Context: Aub... | B
| task385_socialiqa_incorrect_answer_generation | NIv2 | fs_opt | 5 | train |
Q: In this task, you're given a context passage, a question, and three answer options. Your task is to return an incorrect answer option to the question from the choices given. For all questions, only one of the three answer options is correct. Pick one of the two incorrect answer options as the output.
Context: After ... | C | task385_socialiqa_incorrect_answer_generation | NIv2 | zs_opt | 7 | train |
Q: In this task, you're given a context passage, a question, and three answer options. Your task is to return an incorrect answer option to the question from the choices given. For all questions, only one of the three answer options is correct. Pick one of the two incorrect answer options as the output.
Context: Jan to... | B | task385_socialiqa_incorrect_answer_generation | NIv2 | zs_opt | 7 | train |
Given the task definition, example input & output, solve the new input case.
In this task, you're given a context passage, a question, and three answer options. Your task is to return an incorrect answer option to the question from the choices given. For all questions, only one of the three answer options is correct. P... | A | task385_socialiqa_incorrect_answer_generation | NIv2 | fs_opt | 1 | train |
Instructions: In this task, you're given a context passage, a question, and three answer options. Your task is to return an incorrect answer option to the question from the choices given. For all questions, only one of the three answer options is correct. Pick one of the two incorrect answer options as the output.
Inpu... | B | task385_socialiqa_incorrect_answer_generation | NIv2 | zs_opt | 3 | test |
In this task, you're given a context passage, a question, and three answer options. Your task is to return an incorrect answer option to the question from the choices given. For all questions, only one of the three answer options is correct. Pick one of the two incorrect answer options as the output.
Q: Context: carson... | B | task385_socialiqa_incorrect_answer_generation | NIv2 | zs_opt | 4 | validation |
Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
Example Input: While many books can be made into movies, I do believe that this may be one ... | Good Review
| task929_products_reviews_classification | NIv2 | fs_opt | 3 | train |
Teacher:Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
Teacher: Now, understand the problem? Solve this instance: These brushes are ok.
Stu... | Good Review | task929_products_reviews_classification | NIv2 | zs_opt | 6 | train |
Detailed Instructions: Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
Q: If you love the sound of these speakers, you'll be very happy with... | Good Review | task929_products_reviews_classification | NIv2 | zs_opt | 9 | train |
Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
One example: The sound seems really good but sometimes it cuts in and out which is annoying.... | Good Review | task929_products_reviews_classification | NIv2 | fs_opt | 6 | train |
Given the task definition and input, reply with output. Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
In this book, you learn one of seve... | Bad review | task929_products_reviews_classification | NIv2 | zs_opt | 5 | train |
Given the task definition, example input & output, solve the new input case.
Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
Example: The so... | Good Review | task929_products_reviews_classification | NIv2 | fs_opt | 1 | train |
Given the task definition and input, reply with output. Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
The item was a lot smaller than wha... | Good Review | task929_products_reviews_classification | NIv2 | zs_opt | 5 | train |
Instructions: Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
Input: This was a Christmas gift from my son for my wife - I had used it some ... | Bad review | task929_products_reviews_classification | NIv2 | zs_opt | 3 | train |
Teacher:Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
Teacher: Now, understand the problem? Solve this instance: bought it. Opened packagi... | Bad review | task929_products_reviews_classification | NIv2 | zs_opt | 6 | test |
Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
Let me give you an example: The sound seems really good but sometimes it cuts in and out wh... | Bad review | task929_products_reviews_classification | NIv2 | fs_opt | 8 | validation |
Given the task definition, example input & output, solve the new input case.
Sometimes users of dialogue systems ask vague questions/queries from the system. In this case, the system asks them a clarifying question to be able to answer it correctly. In this task, you are given a question/query in natural language and y... | are you interested in ocd in children | task166_clariq_sentence_generation | NIv2 | fs_opt | 1 | train |
Detailed Instructions: Sometimes users of dialogue systems ask vague questions/queries from the system. In this case, the system asks them a clarifying question to be able to answer it correctly. In this task, you are given a question/query in natural language and your task is to ask a good clarifying question to under... | are you interested in knowing how iron is made | task166_clariq_sentence_generation | NIv2 | zs_opt | 8 | train |
Instructions: Sometimes users of dialogue systems ask vague questions/queries from the system. In this case, the system asks them a clarifying question to be able to answer it correctly. In this task, you are given a question/query in natural language and your task is to ask a good clarifying question to understand the... | are you interested in a school district | task166_clariq_sentence_generation | NIv2 | zs_opt | 3 | train |
Sometimes users of dialogue systems ask vague questions/queries from the system. In this case, the system asks them a clarifying question to be able to answer it correctly. In this task, you are given a question/query in natural language and your task is to ask a good clarifying question to understand the given questio... | are you interested in how lead acid batteries are recycled
| task166_clariq_sentence_generation | NIv2 | fs_opt | 3 | train |
Given the task definition and input, reply with output. Sometimes users of dialogue systems ask vague questions/queries from the system. In this case, the system asks them a clarifying question to be able to answer it correctly. In this task, you are given a question/query in natural language and your task is to ask a ... | are you interested in music streaming | task166_clariq_sentence_generation | NIv2 | zs_opt | 5 | train |
Part 1. Definition
Sometimes users of dialogue systems ask vague questions/queries from the system. In this case, the system asks them a clarifying question to be able to answer it correctly. In this task, you are given a question/query in natural language and your task is to ask a good clarifying question to understan... | ae you looking for examples of septic system design | task166_clariq_sentence_generation | NIv2 | fs_opt | 7 | train |
Q: Sometimes users of dialogue systems ask vague questions/queries from the system. In this case, the system asks them a clarifying question to be able to answer it correctly. In this task, you are given a question/query in natural language and your task is to ask a good clarifying question to understand the given ques... | are you interested in neil youngs history | task166_clariq_sentence_generation | NIv2 | zs_opt | 7 | train |
Sometimes users of dialogue systems ask vague questions/queries from the system. In this case, the system asks them a clarifying question to be able to answer it correctly. In this task, you are given a question/query in natural language and your task is to ask a good clarifying question to understand the given questio... | would you like to know about symptoms of a heart attack in a pet
| task166_clariq_sentence_generation | NIv2 | fs_opt | 0 | train |
Sometimes users of dialogue systems ask vague questions/queries from the system. In this case, the system asks them a clarifying question to be able to answer it correctly. In this task, you are given a question/query in natural language and your task is to ask a good clarifying question to understand the given questio... | are you interesting in buying furniture | task166_clariq_sentence_generation | NIv2 | zs_opt | 0 | test |
You will be given a definition of a task first, then some input of the task.
Sometimes users of dialogue systems ask vague questions/queries from the system. In this case, the system asks them a clarifying question to be able to answer it correctly. In this task, you are given a question/query in natural language and y... | are you interested in a certain fitting for a pvc pipe | task166_clariq_sentence_generation | NIv2 | zs_opt | 1 | validation |
Detailed Instructions: You are given first 5 messages from a series of message exchanges between 2 persons playing the game of Diplomacy which is an American strategic board game. You need to generate the next message. The message should be generated such that it fits the context seen so far. Avoid the text that is (i)... | Yeah, honestly, the more I think about it, the more I think it'll just be easier to wipe turkey off the map really quickly. I've done it in tourneys a few times before and it just makes everything simpler. | task1590_diplomacy_text_generation | NIv2 | fs_opt | 4 | train |
You are given first 5 messages from a series of message exchanges between 2 persons playing the game of Diplomacy which is an American strategic board game. You need to generate the next message. The message should be generated such that it fits the context seen so far. Avoid the text that is (i) tangent to the context... | I'd consider that if you didn't build at all in St Pete. Let me talk to France and get back to you, since I would clearly benefit more from this in an EF alliance than an EG alliance, and France has yet to say anything.
****
| task1590_diplomacy_text_generation | NIv2 | fs_opt | 4 | train |
You are given first 5 messages from a series of message exchanges between 2 persons playing the game of Diplomacy which is an American strategic board game. You need to generate the next message. The message should be generated such that it fits the context seen so far. Avoid the text that is (i) tangent to the context... | Same for me, I understand. And I'll want to confirm with you sometime after we see all the winter builds, of course, but for now I'm encouraged by your agreement | task1590_diplomacy_text_generation | NIv2 | zs_opt | 4 | train |
You are given first 5 messages from a series of message exchanges between 2 persons playing the game of Diplomacy which is an American strategic board game. You need to generate the next message. The message should be generated such that it fits the context seen so far. Avoid the text that is (i) tangent to the context... | how do you think its going hahaha | task1590_diplomacy_text_generation | NIv2 | zs_opt | 0 | train |
Detailed Instructions: You are given first 5 messages from a series of message exchanges between 2 persons playing the game of Diplomacy which is an American strategic board game. You need to generate the next message. The message should be generated such that it fits the context seen so far. Avoid the text that is (i)... | And go to Rumania | task1590_diplomacy_text_generation | NIv2 | zs_opt | 8 | train |
You are given first 5 messages from a series of message exchanges between 2 persons playing the game of Diplomacy which is an American strategic board game. You need to generate the next message. The message should be generated such that it fits the context seen so far. Avoid the text that is (i) tangent to the context... | I think so too | task1590_diplomacy_text_generation | NIv2 | zs_opt | 0 | train |
You will be given a definition of a task first, then some input of the task.
You are given first 5 messages from a series of message exchanges between 2 persons playing the game of Diplomacy which is an American strategic board game. You need to generate the next message. The message should be generated such that it fi... | Are you worried that Italy will disrupt you this spring? | task1590_diplomacy_text_generation | NIv2 | zs_opt | 1 | train |
Detailed Instructions: You are given first 5 messages from a series of message exchanges between 2 persons playing the game of Diplomacy which is an American strategic board game. You need to generate the next message. The message should be generated such that it fits the context seen so far. Avoid the text that is (i)... | Sounds good to me! Thank you so much for being agreeable. I view Norway as a gesture of goodwill and I will definitely remember it. Hopefully, I will find another way to help you in the future 😃 | task1590_diplomacy_text_generation | NIv2 | zs_opt | 9 | train |
Teacher: You are given first 5 messages from a series of message exchanges between 2 persons playing the game of Diplomacy which is an American strategic board game. You need to generate the next message. The message should be generated such that it fits the context seen so far. Avoid the text that is (i) tangent to th... | Ok thank you Mr. President.
Much obliged | task1590_diplomacy_text_generation | NIv2 | fs_opt | 2 | test |
You are given first 5 messages from a series of message exchanges between 2 persons playing the game of Diplomacy which is an American strategic board game. You need to generate the next message. The message should be generated such that it fits the context seen so far. Avoid the text that is (i) tangent to the context... | Oh I'm gonna be a maaaaaassive pain in Germany and France's asses, I've got 2 armies on the island and that'll make things really annoying for them.
| task1590_diplomacy_text_generation | NIv2 | fs_opt | 6 | validation |
Detailed Instructions: Two analogies that relate items to whether they are trash or treasure is given in the form "A : B. C : ?". Items marked as "trash" are considered to not have value and can be disposed, whereas those marked as "treasure" are considered valuable items that must be retained. "A : "B relates item A t... | trash | task1155_bard_analogical_reasoning_trash_or_treasure | NIv2 | zs_opt | 9 | train |
Two analogies that relate items to whether they are trash or treasure is given in the form "A : B. C : ?". Items marked as "trash" are considered to not have value and can be disposed, whereas those marked as "treasure" are considered valuable items that must be retained. "A : "B relates item A to whether it is trash o... | trash
| task1155_bard_analogical_reasoning_trash_or_treasure | NIv2 | fs_opt | 6 | train |
Detailed Instructions: Two analogies that relate items to whether they are trash or treasure is given in the form "A : B. C : ?". Items marked as "trash" are considered to not have value and can be disposed, whereas those marked as "treasure" are considered valuable items that must be retained. "A : "B relates item A t... | treasure | task1155_bard_analogical_reasoning_trash_or_treasure | NIv2 | fs_opt | 4 | train |
Two analogies that relate items to whether they are trash or treasure is given in the form "A : B. C : ?". Items marked as "trash" are considered to not have value and can be disposed, whereas those marked as "treasure" are considered valuable items that must be retained. "A : "B relates item A to whether it is trash o... | trash
| task1155_bard_analogical_reasoning_trash_or_treasure | NIv2 | fs_opt | 3 | train |
Two analogies that relate items to whether they are trash or treasure is given in the form "A : B. C : ?". Items marked as "trash" are considered to not have value and can be disposed, whereas those marked as "treasure" are considered valuable items that must be retained. "A : "B relates item A to whether it is trash o... | treasure
| task1155_bard_analogical_reasoning_trash_or_treasure | NIv2 | fs_opt | 1 | train |
Two analogies that relate items to whether they are trash or treasure is given in the form "A : B. C : ?". Items marked as "trash" are considered to not have value and can be disposed, whereas those marked as "treasure" are considered valuable items that must be retained. "A : "B relates item A to whether it is trash o... | trash | task1155_bard_analogical_reasoning_trash_or_treasure | NIv2 | fs_opt | 6 | train |
Two analogies that relate items to whether they are trash or treasure is given in the form "A : B. C : ?". Items marked as "trash" are considered to not have value and can be disposed, whereas those marked as "treasure" are considered valuable items that must be retained. "A : "B relates item A to whether it is trash o... | treasure
| task1155_bard_analogical_reasoning_trash_or_treasure | NIv2 | fs_opt | 1 | train |
Given the task definition, example input & output, solve the new input case.
Two analogies that relate items to whether they are trash or treasure is given in the form "A : B. C : ?". Items marked as "trash" are considered to not have value and can be disposed, whereas those marked as "treasure" are considered valuable... | treasure | task1155_bard_analogical_reasoning_trash_or_treasure | NIv2 | fs_opt | 1 | train |
Two analogies that relate items to whether they are trash or treasure is given in the form "A : B. C : ?". Items marked as "trash" are considered to not have value and can be disposed, whereas those marked as "treasure" are considered valuable items that must be retained. "A : "B relates item A to whether it is trash o... | trash | task1155_bard_analogical_reasoning_trash_or_treasure | NIv2 | fs_opt | 3 | test |
Two analogies that relate items to whether they are trash or treasure is given in the form "A : B. C : ?". Items marked as "trash" are considered to not have value and can be disposed, whereas those marked as "treasure" are considered valuable items that must be retained. "A : "B relates item A to whether it is trash o... | trash
| task1155_bard_analogical_reasoning_trash_or_treasure | NIv2 | fs_opt | 1 | validation |
TASK DEFINITION: In this task you are given a Chinese paragraph related to a criminal case, your job is to give an answer of what the criminal charge is. Take note a) if there are multiple charges only one needs to be outputted b) the criminal charge should be in Chinese.
PROBLEM: 经二审审理查明：1、2013年8月底一天，原审被告人宋2某在长治市城区南街... | [走私、贩卖、运输、制造]毒品
| task1667_cail2018_answer_generation | NIv2 | fs_opt | 8 | train |
Detailed Instructions: In this task you are given a Chinese paragraph related to a criminal case, your job is to give an answer of what the criminal charge is. Take note a) if there are multiple charges only one needs to be outputted b) the criminal charge should be in Chinese.
Problem:长汀县人民检察院指控：2011年初，福建省兴泰建筑工程有限公司中... | 伪造[公司、企业、事业单位、人民团体]印章 | task1667_cail2018_answer_generation | NIv2 | zs_opt | 8 | train |
Instructions: In this task you are given a Chinese paragraph related to a criminal case, your job is to give an answer of what the criminal charge is. Take note a) if there are multiple charges only one needs to be outputted b) the criminal charge should be in Chinese.
Input: 济宁市任城区人民检察院指控：一、××罪2016年7月18日凌晨6时许，在位于济宁市任... | 放火 | task1667_cail2018_answer_generation | NIv2 | zs_opt | 3 | train |
TASK DEFINITION: In this task you are given a Chinese paragraph related to a criminal case, your job is to give an answer of what the criminal charge is. Take note a) if there are multiple charges only one needs to be outputted b) the criminal charge should be in Chinese.
PROBLEM: 经审理查明，2016年2月以来，被告人左某在当阳市草埠湖镇多次向他人贩卖毒... | 贷款诈骗
| task1667_cail2018_answer_generation | NIv2 | fs_opt | 8 | train |
Detailed Instructions: In this task you are given a Chinese paragraph related to a criminal case, your job is to give an answer of what the criminal charge is. Take note a) if there are multiple charges only one needs to be outputted b) the criminal charge should be in Chinese.
See one example below:
Problem: 昌宁县人民检察院... | 骗取[贷款、票据承兑、金融票证] | task1667_cail2018_answer_generation | NIv2 | fs_opt | 4 | train |
Given the task definition and input, reply with output. In this task you are given a Chinese paragraph related to a criminal case, your job is to give an answer of what the criminal charge is. Take note a) if there are multiple charges only one needs to be outputted b) the criminal charge should be in Chinese.
公诉机关指控... | 非法[制造、买卖、运输、邮寄、储存][枪支、弹药、爆炸物] | task1667_cail2018_answer_generation | NIv2 | zs_opt | 5 | train |
Detailed Instructions: In this task you are given a Chinese paragraph related to a criminal case, your job is to give an answer of what the criminal charge is. Take note a) if there are multiple charges only one needs to be outputted b) the criminal charge should be in Chinese.
See one example below:
Problem: 昌宁县人民检察院... | 贪污 | task1667_cail2018_answer_generation | NIv2 | fs_opt | 4 | train |
Detailed Instructions: In this task you are given a Chinese paragraph related to a criminal case, your job is to give an answer of what the criminal charge is. Take note a) if there are multiple charges only one needs to be outputted b) the criminal charge should be in Chinese.
Problem:经审理查明，被告人邱某分别于2015年6月26日因走私香烟、葡萄... | 走私普通[货物、物品] | task1667_cail2018_answer_generation | NIv2 | zs_opt | 8 | train |
Detailed Instructions: In this task you are given a Chinese paragraph related to a criminal case, your job is to give an answer of what the criminal charge is. Take note a) if there are multiple charges only one needs to be outputted b) the criminal charge should be in Chinese.
Q: 黑龙江省宝泉岭农垦区人民检察院指控，2013年12月至2014年4月期间，... | 骗取[贷款、票据承兑、金融票证] | task1667_cail2018_answer_generation | NIv2 | zs_opt | 9 | test |
In this task you are given a Chinese paragraph related to a criminal case, your job is to give an answer of what the criminal charge is. Take note a) if there are multiple charges only one needs to be outputted b) the criminal charge should be in Chinese.
经审理查明：2014年4月份以来，被告人王2某在许昌市金铭玉语公司上班期间，通过互联网QQ聊天工具，分别以价格几厘到两分一条... | 交通肇事
| task1667_cail2018_answer_generation | NIv2 | fs_opt | 0 | validation |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a concept, and a list of answers. You should generate a question about the concept that leads to the given answer(s).
concept: Cleveland Ohio answers: ['North American Eastern Time Zon... | what all does google have? | task1602_webquestion_question_genreation | NIv2 | fs_opt | 0 | train |
You are given a concept, and a list of answers. You should generate a question about the concept that leads to the given answer(s).
[EX Q]: concept: Antonio Vivaldi answers: ['Johann Sebastian Bach']
[EX A]: who inspired antonio vivaldi?
[EX Q]: concept: Albus Dumbledore answers: ['Richard Harris']
[EX A]: who pl... | what did charles dickens writer?
| task1602_webquestion_question_genreation | NIv2 | fs_opt | 6 | train |
Detailed Instructions: You are given a concept, and a list of answers. You should generate a question about the concept that leads to the given answer(s).
Q: concept: Kurt Vonnegut answers: ['Cornell University', 'Butler University', 'Shortridge High School', 'University of Chicago']
A: | what school did kurt vonnegut go to? | task1602_webquestion_question_genreation | NIv2 | zs_opt | 9 | train |
You are given a concept, and a list of answers. You should generate a question about the concept that leads to the given answer(s).
Q: concept: Farrah Fawcett answers: ['Domestic partnership']
A: | what happened to farrah and her baby daddy? | task1602_webquestion_question_genreation | NIv2 | zs_opt | 4 | train |
You are given a concept, and a list of answers. You should generate a question about the concept that leads to the given answer(s).
--------
Question: concept: Victoria Beckham answers: ['Romeo Beckham', 'Cruz Beckham', 'Harper Beckham', 'Brooklyn Beckham']
Answer: what victoria beckham kids names?
Question: conce... | what time is in london heathrow?
| task1602_webquestion_question_genreation | NIv2 | fs_opt | 7 | train |
Instructions: You are given a concept, and a list of answers. You should generate a question about the concept that leads to the given answer(s).
Input: concept: University Of Maryland University College answers: ['Adelphi']
Output: | what city is the university of maryland university college in? | task1602_webquestion_question_genreation | NIv2 | zs_opt | 3 | train |
You will be given a definition of a task first, then some input of the task.
You are given a concept, and a list of answers. You should generate a question about the concept that leads to the given answer(s).
concept: Japan answers: ['Shinzō Abe']
Output: | who is the leader of japan? | task1602_webquestion_question_genreation | NIv2 | zs_opt | 1 | train |
You are given a concept, and a list of answers. You should generate a question about the concept that leads to the given answer(s).
Ex Input:
concept: Fiji answers: ['Military dictatorship', 'Military junta', 'Parliamentary republic']
Ex Output:
what type of government does fiji have?
Ex Input:
concept: Mohammed ... | when does sally pearson race tonight?
| task1602_webquestion_question_genreation | NIv2 | fs_opt | 1 | train |
Given the task definition, example input & output, solve the new input case.
You are given a concept, and a list of answers. You should generate a question about the concept that leads to the given answer(s).
Example: concept: Cleveland Ohio answers: ['North American Eastern Time Zone']
Output: what time zone am i in c... | what is charlie sheen's dad's name? | task1602_webquestion_question_genreation | NIv2 | fs_opt | 1 | test |
You are given a concept, and a list of answers. You should generate a question about the concept that leads to the given answer(s).
concept: Ben Stiller answers: ['Bernard']
who did ben stiller play in megamind?
concept: Texas Rangers answers: ['1972']
when were the texas rangers started?
concept: Thai Language ... | what does thai mean?
| task1602_webquestion_question_genreation | NIv2 | fs_opt | 0 | validation |
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