source stringlengths 17 501k | target stringlengths 0 8.23k | task_name stringlengths 8 85 | task_source stringclasses 4
values | template_type stringclasses 4
values | template_idx int64 0 17 | split stringclasses 3
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|---|---|---|---|---|---|---|
[Q]: Read the below conversation. W: Good morning, sir. Can I help you? M: Good morning. have a reservation for a single room with a bath here. W: May I have your name, sir, please? M: Bradley, John Bradley. W: Just a moment, sir, while I look through our list. Yes, we do have a reservation for you, Mr. Bradley. W... | W: She was born in Switzerland and grew up in Spain, but now she's an English citizen. | dream_generate_last_utterance | P3 | fs_opt | 6 | train |
Please answer the following question: Read the below conversation. Man: Excuse me. I'd like to find out about flights to New York. Woman: Well, let's see. One just left about five minutes ago; and there's another one at ten. Man: What time is it, please? Woman: It's five to eight. Man: So the plane leaves in about... | Woman: I'm afraid you can't. You'd better go to the hooking office. | dream_generate_last_utterance | P3 | zs_opt | 9 | train |
Read the below conversation. M: Tom's house is a mess! Doesn't he ever clean it? What would the listener say?
A: | W: I guess he just has too much ails on his mind with that new job. | dream_generate_last_utterance | P3 | zs_opt | 2 | train |
Read the below conversation. W: It's good to see the sun out again. M: A big improvement on what we've been having lately. What would the listener say?
Answer: | W: It's supposed to be cloudy this evening. | dream_generate_last_utterance | P3 | zs_noopt | 1 | train |
Question: Read the below conversation. M: How are your home-stay families chosen? W: We have special requirements that our families must meet before they are invited to have our international students. We require that the family lies live within a reasonable distance of the school, have enough living space for the st... | W: Yes, Sir, we have seats on that flight. | dream_generate_last_utterance | P3 | fs_opt | 4 | train |
Read the below conversation. W: Oh, look, who's here? Upon my word, if it isn't Mr. White. Oh, Mr. White, you shouldn't have come. M: That's all right. I was told the weather was not good enough. W: Yes, not ideal for flying. M: If it doesn't clear up soon, I'm afraid the flight might be put off. W: Let's hope for... | Ans: M: I play basketball every weekend. | dream_generate_last_utterance | P3 | fs_opt | 0 | train |
[Q]: Read the below conversation. M: The teacher called off the lecture. What would the listener say?
****
[A]: W: Oh, really? His student John must be disappointed at this news.
[Q]: Read the below conversation. M: When do you have flights to Xianyang? What would the listener say?
****
[A]: W: We have a flight a... | W: Well, good ideas are only useful if you make something out of them. I don't think a day-dreamer can be a good entrepreneur. | dream_generate_last_utterance | P3 | fs_opt | 4 | train |
Read the below conversation. M: Hello, Jane. This is Peter speaking. W: Hi, how are you? M: Fine. And I've got some great news for you. W: Really? What's it about? M: I remember you are interested in watching golf games. The Houston Open will be running from May 26 to May 30. I'm sure you will be glad to watch the... | W: OK, thanks. | dream_generate_last_utterance | P3 | fs_opt | 1 | train |
Please answer this: Read the below conversation. M: Mrs. Jones, you look very beautiful in the blue skirt, why not make one? What would the listener say?
++++++++
Answer: W: Urn... just take a measure for me.
Please answer this: Read the below conversation. M: How is the weather today? W: It's very hot and humid.... | M: Why don't we go and ask that salesgirl over there? I think she can help us. | dream_generate_last_utterance | P3 | fs_opt | 6 | test |
Read the below conversation. W: Did you hear that Mr. Peterson is coming next week, Gordon? What would the listener say?
| M: Yes, so I called all the department heads to my office this morning. We need to give him reports on our program. | dream_generate_last_utterance | P3 | zs_noopt | 0 | validation |
Detailed Instructions: Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is whe... | red_pantry | task153_tomqa_find_location_hard_clean | NIv2 | fs_opt | 4 | train |
You will be given a definition of a task first, then some input of the task.
Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the ... | red_treasure_chest | task153_tomqa_find_location_hard_clean | NIv2 | zs_opt | 1 | train |
You will be given a definition of a task first, then some input of the task.
Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the ... | blue_treasure_chest | task153_tomqa_find_location_hard_clean | NIv2 | zs_opt | 1 | train |
Detailed Instructions: Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is whe... | green_basket | task153_tomqa_find_location_hard_clean | NIv2 | zs_opt | 8 | train |
Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's beli... | green_basket
| task153_tomqa_find_location_hard_clean | NIv2 | fs_opt | 6 | train |
Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's beli... | red_envelope
****
| task153_tomqa_find_location_hard_clean | NIv2 | fs_opt | 4 | train |
Definition: Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the indiv... | green_crate | task153_tomqa_find_location_hard_clean | NIv2 | zs_opt | 2 | train |
Definition: Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the indiv... | blue_crate | task153_tomqa_find_location_hard_clean | NIv2 | zs_opt | 2 | train |
Given the task definition, example input & output, solve the new input case.
Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the ... | blue_container | task153_tomqa_find_location_hard_clean | NIv2 | fs_opt | 1 | test |
Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's beli... | blue_crate
| task153_tomqa_find_location_hard_clean | NIv2 | fs_opt | 1 | validation |
Detailed Instructions: In this task, you're given text messages in natural language. Your task is to classify those text messages based on their content into two classes: (1) Spam and (2) Ham messages. If the content of the given message is irrelevant to the receiver or is equally relevant to many other potential recip... | ham | task109_smsspamcollection_spamsmsdetection | NIv2 | zs_opt | 8 | train |
Detailed Instructions: In this task, you're given text messages in natural language. Your task is to classify those text messages based on their content into two classes: (1) Spam and (2) Ham messages. If the content of the given message is irrelevant to the receiver or is equally relevant to many other potential recip... | ham | task109_smsspamcollection_spamsmsdetection | NIv2 | zs_opt | 8 | train |
Given the task definition and input, reply with output. In this task, you're given text messages in natural language. Your task is to classify those text messages based on their content into two classes: (1) Spam and (2) Ham messages. If the content of the given message is irrelevant to the receiver or is equally relev... | ham | task109_smsspamcollection_spamsmsdetection | NIv2 | zs_opt | 5 | train |
In this task, you're given text messages in natural language. Your task is to classify those text messages based on their content into two classes: (1) Spam and (2) Ham messages. If the content of the given message is irrelevant to the receiver or is equally relevant to many other potential recipients then it must be l... | Solution: spam | task109_smsspamcollection_spamsmsdetection | NIv2 | fs_opt | 5 | train |
In this task, you're given text messages in natural language. Your task is to classify those text messages based on their content into two classes: (1) Spam and (2) Ham messages. If the content of the given message is irrelevant to the receiver or is equally relevant to many other potential recipients then it must be l... | ham | task109_smsspamcollection_spamsmsdetection | NIv2 | fs_opt | 8 | train |
In this task, you're given text messages in natural language. Your task is to classify those text messages based on their content into two classes: (1) Spam and (2) Ham messages. If the content of the given message is irrelevant to the receiver or is equally relevant to many other potential recipients then it must be l... | ham | task109_smsspamcollection_spamsmsdetection | NIv2 | zs_opt | 4 | train |
Given the task definition and input, reply with output. In this task, you're given text messages in natural language. Your task is to classify those text messages based on their content into two classes: (1) Spam and (2) Ham messages. If the content of the given message is irrelevant to the receiver or is equally relev... | ham | task109_smsspamcollection_spamsmsdetection | NIv2 | zs_opt | 5 | train |
instruction:
In this task, you're given text messages in natural language. Your task is to classify those text messages based on their content into two classes: (1) Spam and (2) Ham messages. If the content of the given message is irrelevant to the receiver or is equally relevant to many other potential recipients then... | ham
| task109_smsspamcollection_spamsmsdetection | NIv2 | fs_opt | 9 | train |
Given the task definition and input, reply with output. In this task, you're given text messages in natural language. Your task is to classify those text messages based on their content into two classes: (1) Spam and (2) Ham messages. If the content of the given message is irrelevant to the receiver or is equally relev... | ham | task109_smsspamcollection_spamsmsdetection | NIv2 | zs_opt | 5 | test |
Detailed Instructions: In this task, you're given text messages in natural language. Your task is to classify those text messages based on their content into two classes: (1) Spam and (2) Ham messages. If the content of the given message is irrelevant to the receiver or is equally relevant to many other potential recip... | ham | task109_smsspamcollection_spamsmsdetection | NIv2 | zs_opt | 9 | validation |
Q: A text is given in Marathi. Translate it from the Marathi language to the Urdu language. The translation must not omit or add information to the original sentence.
पर्रिकर यांना दोन पुत्र असून त्यांचे कुटुंबिय आणि गोव्यातल्या जनतेच्या दु:खात संपूर्ण राष्ट्राच्या वतीने आपण सहभागी असल्याचे केंद्रीय मंत्रिमंडळाच्या शोक... | کابینہ ،سوگوار کنبے اور گوا کے عوام کے تئیں ،حکومت ہند اور پورے ملک کی جانب سے دلی تعزیت کا اظہار کرتی ہے ۔ | task989_pib_translation_marathi_urdu | NIv2 | zs_opt | 7 | train |
Q: A text is given in Marathi. Translate it from the Marathi language to the Urdu language. The translation must not omit or add information to the original sentence.
चला, आपण या शुभ दिनी शपथ घेऊया "आम्ही आयुर्वेदाचा अभ्यास करू, आम्ही आयुर्वेद जिवंत ठेवू आणि आम्ही आयुर्वेदासाठी जगू.
A: | یہ حکومت کی کوششوں کا ہی اثر ہے کہ ملک میں ٹیکہ کاری کی جو رفتار سالانہ ایک فیصد کی شرح سے بڑھ رہی تھی، وہ مشن اندر دھنش کے بعد سے ساڑھے چھ فیصد تک پہنچ گئی ہے۔ | task989_pib_translation_marathi_urdu | NIv2 | zs_opt | 7 | train |
A text is given in Marathi. Translate it from the Marathi language to the Urdu language. The translation must not omit or add information to the original sentence.
[EX Q]: जन भागीदारीच्या याच शक्तीमुळे आम्ही नव भारतचे लक्ष्य साध्य करू.
[EX A]: -کوئی بھی غریب کھلے میں رفع حاجت کے لئے مجبور نہیں گا۔
[EX Q]: मी हे पूर्ण... | وزیر موصوف نے بتایا کہ اسمارٹ سٹی کے طور پر مزید تعداد میں فروغ دینے کے لئے شہروں کے انتخاب کا کام وقت سے آگے چل رہاہے اور بقیہ شہروں جلد ہی از نظر ثانی شدہ منصوبہ داخل کردیں گے ۔
| task989_pib_translation_marathi_urdu | NIv2 | fs_opt | 6 | train |
A text is given in Marathi. Translate it from the Marathi language to the Urdu language. The translation must not omit or add information to the original sentence.
Input: Consider Input: खरे तर नवे तंत्रज्ञान आणि कनेक्टीविटीचा वापर करत त्याला आपलेसे करण्यात वित्तीय क्षेत्र नेहमी अग्रेसर असते असे इतिहास सांगतो.
Output... | Output: وزیراعظم سنت کبیر کی گپھا کا بھی دورہ کریں گے۔ وہ کبیر اکیڈمی کا سنگ بنیاد رکھنے کے لئے ایک تختی کی نقاب کشائی کریں گے، جس پر عظیم صوفی کی تعلیمات اور خیالات کندہ کئے گئے ہیں۔
| task989_pib_translation_marathi_urdu | NIv2 | fs_opt | 2 | train |
A text is given in Marathi. Translate it from the Marathi language to the Urdu language. The translation must not omit or add information to the original sentence.
[Q]: ही जयपाल सिंह श्री मुंडा यांच्या संघर्षाची भूमी आहे आणि ही अटल बिहारी वाजपेयीजी यांच्या स्वप्नांची भूमी आहे.
[A]: دھنباد اور پتراتو میں مختلف ترقیاتی ... | ہندوستان اور سیشلز کو بحر ہند کے خطے کے علاقائی نظام کو مستحکم کرنے کی خاطر شراکت دار کی حیثیت سے مل کر کام کرنا چاہئے: صدر جمہوریہ ہند
| task989_pib_translation_marathi_urdu | NIv2 | fs_opt | 5 | train |
Detailed Instructions: A text is given in Marathi. Translate it from the Marathi language to the Urdu language. The translation must not omit or add information to the original sentence.
Problem:अंदमान निकोबारसहीत देशाच्या सागरी किनारी भागामध्ये खोबरे आणि नारळ यांच्या शेतीसंबंधी या शेतक-यांचे हित जपणारा मोठा निर्णय सरक... | ساتھیو ، مرکزی حکومت یہاں کی ضروریات ،یہا ں کے حالات کے لحاظ سے ہی ترقی کرنے میں لگی ہوئی ہے ۔ حکومت کی کوشش ہے کہ ماحولیات اور مقامی ثقافت کے تحفظ کے ساتھ ساتھ ترقی ہو ۔ اس جذبے کے تحت حکومت نے متعدد اہم فیصلے کئے ہیں ۔ | task989_pib_translation_marathi_urdu | NIv2 | zs_opt | 8 | 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.
A text is given in Marathi. Translate it from the Marathi language to the Urdu language. The translation must not omit or add information to the original sentence.
मित्रांनो, माझी ही सूचना तुम्हाला ... | میں آپ سبھی کو اس کانفرنس کی کامیابی اور ثمرآور ہونے کے لئے نیک خواہشات پیش کرتا ہوں۔ | task989_pib_translation_marathi_urdu | NIv2 | fs_opt | 0 | train |
instruction:
A text is given in Marathi. Translate it from the Marathi language to the Urdu language. The translation must not omit or add information to the original sentence.
question:
ते 7- भूतानचे रॅायल विद्यापीठ आणि भारतामधल्या आयआयटी दिल्ली, कानपूर आणि मुंबई, तसेच एनआयटी सिल्चर यांच्यामध्ये सहयोग आणि शैक्षणिक कार... | ٹرانسپورٹ کے شعبے میں، آئندہ کچھ دہائیوں میں بہت بڑی تبدیلی دیکھنے کو ملے گی،کیونکہ ٹرانسپورٹ میں الیکٹراک گاڑیوں کو اپنایا جا رہا ہے۔
| task989_pib_translation_marathi_urdu | NIv2 | fs_opt | 9 | train |
Detailed Instructions: A text is given in Marathi. Translate it from the Marathi language to the Urdu language. The translation must not omit or add information to the original sentence.
Q: केंद्रीय आरोग्य आणि कुटुंब कल्याण राज्यमंत्री अश्विनी कुमार चौबे यांनी आज राज्यसभेत एका प्रश्नाच्या लेखी उत्तरात ही माहिती दिली.
A... | یہ اطلاع صحت اور کنبہ بہبود کے وزیر مملکت جناب اشونی کمار چوبے نے آج راجیہ سبھا میں ایک تحریری جواب میں دی۔ | task989_pib_translation_marathi_urdu | NIv2 | zs_opt | 9 | test |
Detailed Instructions: A text is given in Marathi. Translate it from the Marathi language to the Urdu language. The translation must not omit or add information to the original sentence.
Problem:कौशल्य विकासात या पैलूवर थोडा भर देता येऊ शकेल का.
Solution: | ہنر کی ترقی میں اس پہلو پر تھوڑا زور دیا جا سکتا ہے کیا! | task989_pib_translation_marathi_urdu | NIv2 | zs_opt | 8 | 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.
Classify the given comment into 'Hope Speech' or 'Not Hope Speech'. A hope speech is defined as content that is encouraging, positive or supportive contents and talks about equality, diversity or inc... | Hope Speech | task679_hope_edi_english_text_classification | NIv2 | fs_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.
Classify the given comment into 'Hope Speech' or 'Not Hope Speech'. A hope speech is defined as content that is encouraging, positive or supportive contents and talks about equality, diversity or inc... | Not Hope Speech | task679_hope_edi_english_text_classification | NIv2 | fs_opt | 0 | train |
Classify the given comment into 'Hope Speech' or 'Not Hope Speech'. A hope speech is defined as content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion
Q: @jmal are you trying to say that racism against white people doesn't exist?
A: Not Hope Speech
****
Q: Is the... | Not Hope Speech
****
| task679_hope_edi_english_text_classification | NIv2 | fs_opt | 4 | train |
Detailed Instructions: Classify the given comment into 'Hope Speech' or 'Not Hope Speech'. A hope speech is defined as content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion
Q: It’s really amazing how reality changed. I recently study civil engeenering and the bila... | Hope Speech | task679_hope_edi_english_text_classification | NIv2 | zs_opt | 9 | train |
You will be given a definition of a task first, then some input of the task.
Classify the given comment into 'Hope Speech' or 'Not Hope Speech'. A hope speech is defined as content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion
My question is why there is still a ... | Not Hope Speech | task679_hope_edi_english_text_classification | NIv2 | zs_opt | 1 | train |
Classify the given comment into 'Hope Speech' or 'Not Hope Speech'. A hope speech is defined as content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion
[EX Q]: Thank you! And I think its only in AMERICA!
[EX A]: Not Hope Speech
[EX Q]: i’m in high school that’s an... | Not Hope Speech
| task679_hope_edi_english_text_classification | NIv2 | fs_opt | 6 | train |
Classify the given comment into 'Hope Speech' or 'Not Hope Speech'. A hope speech is defined as content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion
One example is below.
Q: you have encouraged me thank you for sharing
A: Hope Speech
Rationale: The given text con... | Not Hope Speech | task679_hope_edi_english_text_classification | NIv2 | fs_opt | 9 | train |
Definition: Classify the given comment into 'Hope Speech' or 'Not Hope Speech'. A hope speech is defined as content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion
Input: ¨god gave us a choice
Output: | Hope Speech | task679_hope_edi_english_text_classification | NIv2 | zs_opt | 2 | train |
Detailed Instructions: Classify the given comment into 'Hope Speech' or 'Not Hope Speech'. A hope speech is defined as content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion
See one example below:
Problem: you have encouraged me thank you for sharing
Solution: Hope... | Not Hope Speech | task679_hope_edi_english_text_classification | NIv2 | fs_opt | 4 | test |
Given the task definition and input, reply with output. Classify the given comment into 'Hope Speech' or 'Not Hope Speech'. A hope speech is defined as content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion
There's always a way out and Madonna is just changing the... | Hope Speech | task679_hope_edi_english_text_classification | NIv2 | zs_opt | 5 | validation |
Q: In this task you are given a list of triplets of the form [subject, predicate, object] and the output should be a question based on the triplets but with the subject and/or object replaced with blanks (represented using two or more consecutive underscores). Triplet values encompassed in [*] are special tokens that c... | Near the _____, _____ is a coffee shop style Japanese, low price, this restaurant is a good place for kids. | task1407_dart_question_generation | NIv2 | zs_opt | 7 | train |
In this task you are given a list of triplets of the form [subject, predicate, object] and the output should be a question based on the triplets but with the subject and/or object replaced with blanks (represented using two or more consecutive underscores). Triplet values encompassed in [*] are special tokens that can ... | Located in riverside, _____ is a kid friendly coffee shop serving Japanese food. It has a price range of £20-£25 and has high customer ratings.
| task1407_dart_question_generation | NIv2 | fs_opt | 6 | train |
In this task you are given a list of triplets of the form [subject, predicate, object] and the output should be a question based on the triplets but with the subject and/or object replaced with blanks (represented using two or more consecutive underscores). Triplet values encompassed in [*] are special tokens that can ... | Solution: Moderately priced Italian food is served at _____ which is kid friendly and conveniently located in the city centre. | task1407_dart_question_generation | NIv2 | fs_opt | 5 | train |
You will be given a definition of a task first, then some input of the task.
In this task you are given a list of triplets of the form [subject, predicate, object] and the output should be a question based on the triplets but with the subject and/or object replaced with blanks (represented using two or more consecutive... | _____ is a child-friendly coffee shop located near The Portland Arms. As well as being a coffee shop, The Cricketers also sells _____ food. It has an average customer rating and is suitable for children. | task1407_dart_question_generation | NIv2 | zs_opt | 1 | train |
In this task you are given a list of triplets of the form [subject, predicate, object] and the output should be a question based on the triplets but with the subject and/or object replaced with blanks (represented using two or more consecutive underscores). Triplet values encompassed in [*] are special tokens that can ... | There is an Italian coffee shop, _____ in the riverside area, near Crowne Plaza Hotel. It is kid friendly but has a low customer rating.
| task1407_dart_question_generation | NIv2 | fs_opt | 1 | train |
In this task you are given a list of triplets of the form [subject, predicate, object] and the output should be a question based on the triplets but with the subject and/or object replaced with blanks (represented using two or more consecutive underscores). Triplet values encompassed in [*] are special tokens that can ... | _____ is a coffee shop serving Indian food it is not a child Friendly, with a low customer Rating and a high price Range by a riverside near Burger King. | task1407_dart_question_generation | NIv2 | fs_opt | 3 | train |
Detailed Instructions: In this task you are given a list of triplets of the form [subject, predicate, object] and the output should be a question based on the triplets but with the subject and/or object replaced with blanks (represented using two or more consecutive underscores). Triplet values encompassed in [*] are s... | _____ is a coffee shop located along the riverside, That being said, Fitzbillies has a low customer rating, often being described as _____t being family-friendly. Fitzbillies serves French food with a general price range of less than £20. | task1407_dart_question_generation | NIv2 | zs_opt | 8 | train |
In this task you are given a list of triplets of the form [subject, predicate, object] and the output should be a question based on the triplets but with the subject and/or object replaced with blanks (represented using two or more consecutive underscores). Triplet values encompassed in [*] are special tokens that can ... | if you are looking for a place that is _____t child friendly that serves English food and in the high price range then there is a place called _____
| task1407_dart_question_generation | NIv2 | fs_opt | 5 | train |
You will be given a definition of a task first, then some input of the task.
In this task you are given a list of triplets of the form [subject, predicate, object] and the output should be a question based on the triplets but with the subject and/or object replaced with blanks (represented using two or more consecutive... | Located near All Bar One, _____ is a restaurant offering English food under 20 pounds with low customer ratings. | task1407_dart_question_generation | NIv2 | zs_opt | 1 | test |
In this task you are given a list of triplets of the form [subject, predicate, object] and the output should be a question based on the triplets but with the subject and/or object replaced with blanks (represented using two or more consecutive underscores). Triplet values encompassed in [*] are special tokens that can ... | _____ is a coffee shop that serves English food. It has a high customer rating and costs more than £30. It is located near Café Sicilia.
| task1407_dart_question_generation | NIv2 | fs_opt | 1 | validation |
Detailed Instructions: In this task, you are given a word. You should respond with a valid sentence which contains the given word. Make sure that the sentence is grammatically correct. You may use the word in a different tense than is given. For example, you may use the word 'ended' in the output where the given input ... | To send a message, or a letter. | task626_xlwic_sentence_based_on_given_word_sentence_generation | NIv2 | zs_opt | 8 | train |
In this task, you are given a word. You should respond with a valid sentence which contains the given word. Make sure that the sentence is grammatically correct. You may use the word in a different tense than is given. For example, you may use the word 'ended' in the output where the given input word is 'end'.
One exam... | I really care about my work. | task626_xlwic_sentence_based_on_given_word_sentence_generation | NIv2 | fs_opt | 9 | train |
In this task, you are given a word. You should respond with a valid sentence which contains the given word. Make sure that the sentence is grammatically correct. You may use the word in a different tense than is given. For example, you may use the word 'ended' in the output where the given input word is 'end'.
Q: damag... | The storm did a lot of damage to the area. | task626_xlwic_sentence_based_on_given_word_sentence_generation | NIv2 | zs_opt | 4 | train |
Q: In this task, you are given a word. You should respond with a valid sentence which contains the given word. Make sure that the sentence is grammatically correct. You may use the word in a different tense than is given. For example, you may use the word 'ended' in the output where the given input word is 'end'.
folk
... | They're just country folk. | task626_xlwic_sentence_based_on_given_word_sentence_generation | NIv2 | zs_opt | 7 | train |
In this task, you are given a word. You should respond with a valid sentence which contains the given word. Make sure that the sentence is grammatically correct. You may use the word in a different tense than is given. For example, you may use the word 'ended' in the output where the given input word is 'end'.
Example:... | Solution: A trump can take a trick even when a card of a different suit is led. | task626_xlwic_sentence_based_on_given_word_sentence_generation | NIv2 | fs_opt | 5 | train |
In this task, you are given a word. You should respond with a valid sentence which contains the given word. Make sure that the sentence is grammatically correct. You may use the word in a different tense than is given. For example, you may use the word 'ended' in the output where the given input word is 'end'.
weaknes... | Lie dormant.
| task626_xlwic_sentence_based_on_given_word_sentence_generation | NIv2 | fs_opt | 0 | train |
Given the task definition and input, reply with output. In this task, you are given a word. You should respond with a valid sentence which contains the given word. Make sure that the sentence is grammatically correct. You may use the word in a different tense than is given. For example, you may use the word 'ended' in ... | A trump can take a trick even when a card of a different suit is led. | task626_xlwic_sentence_based_on_given_word_sentence_generation | NIv2 | zs_opt | 5 | train |
Teacher: In this task, you are given a word. You should respond with a valid sentence which contains the given word. Make sure that the sentence is grammatically correct. You may use the word in a different tense than is given. For example, you may use the word 'ended' in the output where the given input word is 'end'.... | A length of tubing. | task626_xlwic_sentence_based_on_given_word_sentence_generation | NIv2 | fs_opt | 2 | train |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a word. You should respond with a valid sentence which contains the given word. Make sure that the sentence is grammatically correct. You may use the word in a different tense than is given. For example, you may use... | True memorability of phrase. | task626_xlwic_sentence_based_on_given_word_sentence_generation | NIv2 | zs_opt | 1 | test |
In this task, you are given a word. You should respond with a valid sentence which contains the given word. Make sure that the sentence is grammatically correct. You may use the word in a different tense than is given. For example, you may use the word 'ended' in the output where the given input word is 'end'.
Q: cot
... | I do it for the fun of it.
****
| task626_xlwic_sentence_based_on_given_word_sentence_generation | NIv2 | fs_opt | 4 | validation |
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the ev... | Yes | task1205_atomic_classification_isafter | NIv2 | zs_opt | 9 | train |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | Yes
| task1205_atomic_classification_isafter | NIv2 | fs_opt | 5 | train |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | No
| task1205_atomic_classification_isafter | NIv2 | fs_opt | 3 | train |
instruction:
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You h... | No
| task1205_atomic_classification_isafter | NIv2 | fs_opt | 9 | train |
You will be given a definition of a task first, then some input of the task.
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, Pers... | No | task1205_atomic_classification_isafter | NIv2 | zs_opt | 1 | train |
Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You ... | No | task1205_atomic_classification_isafter | NIv2 | zs_opt | 3 | train |
Given the task definition, example input & output, solve the new input case.
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, Pers... | Yes | task1205_atomic_classification_isafter | NIv2 | fs_opt | 1 | train |
Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You ... | Yes | task1205_atomic_classification_isafter | NIv2 | zs_opt | 3 | train |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | Yes
| task1205_atomic_classification_isafter | NIv2 | fs_opt | 6 | test |
Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You ... | No | task1205_atomic_classification_isafter | NIv2 | zs_opt | 3 | validation |
In this task, you're given statements in native Malayalam language. The statement can be written with the Malayalam alphabet or the English alphabet. Your job is to evaluate if the statement is offensive or not. Label the post as "Not offensive" if the post does not contain offense or insult. Non-offensive posts do no... | Offensive | task1538_malayalam_offenseval_dravidian_classification | NIv2 | fs_opt | 9 | train |
You will be given a definition of a task first, then some input of the task.
In this task, you're given statements in native Malayalam language. The statement can be written with the Malayalam alphabet or the English alphabet. Your job is to evaluate if the statement is offensive or not. Label the post as "Not offensiv... | Not offensive | task1538_malayalam_offenseval_dravidian_classification | NIv2 | zs_opt | 1 | train |
Part 1. Definition
In this task, you're given statements in native Malayalam language. The statement can be written with the Malayalam alphabet or the English alphabet. Your job is to evaluate if the statement is offensive or not. Label the post as "Not offensive" if the post does not contain offense or insult. Non-of... | Offensive | task1538_malayalam_offenseval_dravidian_classification | NIv2 | fs_opt | 7 | train |
In this task, you're given statements in native Malayalam language. The statement can be written with the Malayalam alphabet or the English alphabet. Your job is to evaluate if the statement is offensive or not. Label the post as "Not offensive" if the post does not contain offense or insult. Non-offensive posts do no... | Not offensive | task1538_malayalam_offenseval_dravidian_classification | NIv2 | zs_opt | 0 | train |
Teacher:In this task, you're given statements in native Malayalam language. The statement can be written with the Malayalam alphabet or the English alphabet. Your job is to evaluate if the statement is offensive or not. Label the post as "Not offensive" if the post does not contain offense or insult. Non-offensive pos... | Offensive | task1538_malayalam_offenseval_dravidian_classification | NIv2 | zs_opt | 6 | train |
In this task, you're given statements in native Malayalam language. The statement can be written with the Malayalam alphabet or the English alphabet. Your job is to evaluate if the statement is offensive or not. Label the post as "Not offensive" if the post does not contain offense or insult. Non-offensive posts do no... | Offensive | task1538_malayalam_offenseval_dravidian_classification | NIv2 | zs_opt | 0 | train |
In this task, you're given statements in native Malayalam language. The statement can be written with the Malayalam alphabet or the English alphabet. Your job is to evaluate if the statement is offensive or not. Label the post as "Not offensive" if the post does not contain offense or insult. Non-offensive posts do no... | Offensive
****
| task1538_malayalam_offenseval_dravidian_classification | NIv2 | fs_opt | 4 | train |
In this task, you're given statements in native Malayalam language. The statement can be written with the Malayalam alphabet or the English alphabet. Your job is to evaluate if the statement is offensive or not. Label the post as "Not offensive" if the post does not contain offense or insult. Non-offensive posts do no... | Not offensive | task1538_malayalam_offenseval_dravidian_classification | NIv2 | fs_opt | 8 | train |
Given the task definition, example input & output, solve the new input case.
In this task, you're given statements in native Malayalam language. The statement can be written with the Malayalam alphabet or the English alphabet. Your job is to evaluate if the statement is offensive or not. Label the post as "Not offensiv... | Not offensive | task1538_malayalam_offenseval_dravidian_classification | NIv2 | fs_opt | 1 | test |
Detailed Instructions: In this task, you're given statements in native Malayalam language. The statement can be written with the Malayalam alphabet or the English alphabet. Your job is to evaluate if the statement is offensive or not. Label the post as "Not offensive" if the post does not contain offense or insult. No... | Not offensive | task1538_malayalam_offenseval_dravidian_classification | NIv2 | fs_opt | 4 | validation |
Teacher:Given Statement1 and Statement2 in Croatian, identify a label based on the relationship between them. There are two possible labels: 'cause' and 'effect'. If Statement2 is the consequence of Statement1 then the Label is 'effect'. If Statement2 is the cause of Statement1 then the label is 'cause'
Teacher: Now, u... | cause | task1629_copa_hr_classification | NIv2 | zs_opt | 6 | train |
Instructions: Given Statement1 and Statement2 in Croatian, identify a label based on the relationship between them. There are two possible labels: 'cause' and 'effect'. If Statement2 is the consequence of Statement1 then the Label is 'effect'. If Statement2 is the cause of Statement1 then the label is 'cause'
Input: St... | cause | task1629_copa_hr_classification | NIv2 | zs_opt | 3 | train |
Given the task definition and input, reply with output. Given Statement1 and Statement2 in Croatian, identify a label based on the relationship between them. There are two possible labels: 'cause' and 'effect'. If Statement2 is the consequence of Statement1 then the Label is 'effect'. If Statement2 is the cause of Stat... | effect | task1629_copa_hr_classification | NIv2 | zs_opt | 5 | train |
Given the task definition and input, reply with output. Given Statement1 and Statement2 in Croatian, identify a label based on the relationship between them. There are two possible labels: 'cause' and 'effect'. If Statement2 is the consequence of Statement1 then the Label is 'effect'. If Statement2 is the cause of Stat... | cause | task1629_copa_hr_classification | NIv2 | zs_opt | 5 | train |
instruction:
Given Statement1 and Statement2 in Croatian, identify a label based on the relationship between them. There are two possible labels: 'cause' and 'effect'. If Statement2 is the consequence of Statement1 then the Label is 'effect'. If Statement2 is the cause of Statement1 then the label is 'cause'
question:
... | cause
| task1629_copa_hr_classification | NIv2 | fs_opt | 9 | train |
Given the task definition and input, reply with output. Given Statement1 and Statement2 in Croatian, identify a label based on the relationship between them. There are two possible labels: 'cause' and 'effect'. If Statement2 is the consequence of Statement1 then the Label is 'effect'. If Statement2 is the cause of Stat... | cause | task1629_copa_hr_classification | NIv2 | zs_opt | 5 | train |
Given Statement1 and Statement2 in Croatian, identify a label based on the relationship between them. There are two possible labels: 'cause' and 'effect'. If Statement2 is the consequence of Statement1 then the Label is 'effect'. If Statement2 is the cause of Statement1 then the label is 'cause'
Statement1: Političar ... | effect | task1629_copa_hr_classification | NIv2 | zs_opt | 0 | train |
Detailed Instructions: Given Statement1 and Statement2 in Croatian, identify a label based on the relationship between them. There are two possible labels: 'cause' and 'effect'. If Statement2 is the consequence of Statement1 then the Label is 'effect'. If Statement2 is the cause of Statement1 then the label is 'cause'
... | effect | task1629_copa_hr_classification | NIv2 | zs_opt | 9 | train |
Definition: Given Statement1 and Statement2 in Croatian, identify a label based on the relationship between them. There are two possible labels: 'cause' and 'effect'. If Statement2 is the consequence of Statement1 then the Label is 'effect'. If Statement2 is the cause of Statement1 then the label is 'cause'
Input: Stat... | cause | task1629_copa_hr_classification | NIv2 | zs_opt | 2 | test |
Detailed Instructions: Given Statement1 and Statement2 in Croatian, identify a label based on the relationship between them. There are two possible labels: 'cause' and 'effect'. If Statement2 is the consequence of Statement1 then the Label is 'effect'. If Statement2 is the cause of Statement1 then the label is 'cause'
... | effect | task1629_copa_hr_classification | NIv2 | zs_opt | 8 | validation |
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