source stringlengths 17 501k | target stringlengths 0 8.23k | task_name stringlengths 8 85 | task_source stringclasses 4
values | template_type stringclasses 4
values | template_idx int64 0 17 | split stringclasses 3
values |
|---|---|---|---|---|---|---|
You will be given a definition of a task first, then some input of the task.
This task is to translate a news commentary given in Arabic language into Czech language. Translate the input statement into the output language while preserving the numberical values, special characters and context of the commentary done.
ت... | Jak dosáhnout růstu v\xa0nově rovnovážném světě | task1374_newscomm_translation | NIv2 | zs_opt | 1 | train |
This task is to translate a news commentary given in Arabic language into Czech language. Translate the input statement into the output language while preserving the numberical values, special characters and context of the commentary done.
--------
Question: إن أغلب البحوث الاقتصادية تشير إلى التكهن بأسعار الذهب أمر ب... | Po návštěvách ministrů zahraničí Francie, Británie a Německa navíc Írán ohlásil dočasné přerušení svého programu na obohacování uranu. Nyní naznačuje, že by mohl obohacování obnovit, a nedávné tiskové zprávy o dovozech z Pákistánu naznačují, že Teherán neprozradil IAEA všechno.
| task1374_newscomm_translation | NIv2 | fs_opt | 7 | train |
instruction:
This task is to translate a news commentary given in Arabic language into Czech language. Translate the input statement into the output language while preserving the numberical values, special characters and context of the commentary done.
question:
وعلى نحو مماثل، ففي هذا العصر حيث أصبحت جماعات الضغط مطل... | Nedávná dohoda přiznala Řecku úlevu ve výši 237 miliard eur, což je asi o 30% více, než kolik činí čistý národní důchod země (zhruba 180 miliard eur). Taková pomoc však jen upevňuje špatně nastavené ceny – a tím i nekonkurenceschopnost ekonomiky.
| task1374_newscomm_translation | NIv2 | fs_opt | 9 | train |
This task is to translate a news commentary given in Arabic language into Czech language. Translate the input statement into the output language while preserving the numberical values, special characters and context of the commentary done.
One example: الذهب بعشرة آلاف دولار؟
Solution is here: Zlato za 10\xa0000 dolar... | Avšak britská politika vůči EU mnohokrát nevedla ke zlepšení, nýbrž ke zhoršení vztahů mezi členskými státy. Naší tradiční reakcí na nové iniciativy EU často bylo novinkám odporovat, hlasovat proti nim, v hlasování podlehnout a pak je rozmrzele přijmout a vinu svalovat na všechny kolem. | task1374_newscomm_translation | NIv2 | fs_opt | 6 | train |
This task is to translate a news commentary given in Arabic language into Czech language. Translate the input statement into the output language while preserving the numberical values, special characters and context of the commentary done.
Q: إن الثمن الذي قد ندفعه طوعاً في سبيل تأمين سلامتنا ليس من الممكن أن يكون بلا... | Britská vláda používá částku o něco vyšší než jeden milion liber jako obecnou hranici sumy, kterou je ochotna zaplatit za záchranu statistického života – například zvýšením bezpečnosti silničního provozu. V\xa0USA je ministerstvo dopravy připraveno jít za stejným účelem až na 5,8 milionu dolarů – to je při současném sm... | task1374_newscomm_translation | NIv2 | zs_opt | 4 | train |
This task is to translate a news commentary given in Arabic language into Czech language. Translate the input statement into the output language while preserving the numberical values, special characters and context of the commentary done.
Q: وبالفعل تم تحويل مدخرات ألمانية وهولندية وفنلندية بمقدار 15 ألف يورو، و17 أل... | Německé, nizozemské a finské úspory ve výši 15, 17 respektive 21 tisíc eur na jednoho pracujícího obyvatele už se proměnily z obchodovatelných investic na pouhé kompenzační nároky vůči ECB. Nikdo neví, jakou hodnotu tyto pohledávky budou mít v případě rozpadu eurozóny. | task1374_newscomm_translation | NIv2 | zs_opt | 4 | train |
Teacher: This task is to translate a news commentary given in Arabic language into Czech language. Translate the input statement into the output language while preserving the numberical values, special characters and context of the commentary done.
Teacher: Now, understand the problem? If you are still confused, see t... | Ještě silnějším nástrojem může být otevřená průmyslová politika. Podstatné je, že rozvojové země, kterým záleží na konkurenceschopnosti svých moderních sektorů, si mohou dovolit nechat svou měnu (či spíše její reálnou hodnotu) zhodnocovat, pokud uplatňují alternativní politiku, která podporuje průmyslovou činnost přímo... | task1374_newscomm_translation | NIv2 | fs_opt | 2 | train |
This task is to translate a news commentary given in Arabic language into Czech language. Translate the input statement into the output language while preserving the numberical values, special characters and context of the commentary done.
[Q]: ولكن حتى شارل ديجول، زعيم المقاومة من جناح اليمين، اضطر إلى قبول الشيوعيي... | Volání svazu po hromadném bojkotu bylo každopádně v rozporu s jeho základními hodnotami: s principem akademické svobody, otevřenosti a výměny, s ochranou výzkumu před státní politikou a se základním právem na svobodu projevu.
| task1374_newscomm_translation | NIv2 | fs_opt | 5 | train |
instruction:
This task is to translate a news commentary given in Arabic language into Czech language. Translate the input statement into the output language while preserving the numberical values, special characters and context of the commentary done.
question:
إن المنتقدين يصورون جهود نزع السلاح النووي بوصفها محاولة... | Zaprvé, finance z různých zdrojů jsou do jisté míry vzájemně zaměnitelné: nedostatek finančních prostředků u jedné složky úhrnného dluhu lze doplnit z přebytku prostředků původně určených k financování jiných složek.
| task1374_newscomm_translation | NIv2 | fs_opt | 9 | test |
You will be given a definition of a task first, then some input of the task.
This task is to translate a news commentary given in Arabic language into Czech language. Translate the input statement into the output language while preserving the numberical values, special characters and context of the commentary done.
ل... | Nebudete se vměšovat mezi lidi, kteří večeří v\xa0restauraci, ale mohli byste se ukázat na nějakém sportovním utkání, kde budete rozdávat tenisky zdarma nejpohodověji vyhlížejícím dětem a připojíte se ke slavnostní atmosféře. Nebo si představte všechny firmy, jejichž značky jsou populární: lidé skutečně platí za to, ab... | task1374_newscomm_translation | NIv2 | zs_opt | 1 | 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.
In this task your given two statements in Vietnamese. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judg... | cause | task1183_xcopa_commonsense_cause_effect_vi | NIv2 | fs_opt | 0 | train |
Given the task definition, example input & output, solve the new input case.
In this task your given two statements in Vietnamese. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newli... | effect | task1183_xcopa_commonsense_cause_effect_vi | NIv2 | fs_opt | 1 | train |
In this task your given two statements in Vietnamese. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Q: Tôi lấy lại bình tĩnh từ cơn giận của mình.
Tôi hít thở thật... | cause | task1183_xcopa_commonsense_cause_effect_vi | NIv2 | zs_opt | 4 | train |
Instructions: In this task your given two statements in Vietnamese. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Input: Thư ký nói người gọi đợi.
Người gọi chờ.
O... | effect | task1183_xcopa_commonsense_cause_effect_vi | NIv2 | zs_opt | 3 | train |
Definition: In this task your given two statements in Vietnamese. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Input: Người phụ nữ liên lạc với đại lý bất động sả... | cause | task1183_xcopa_commonsense_cause_effect_vi | NIv2 | zs_opt | 2 | train |
In this task your given two statements in Vietnamese. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Q: Người chơi đánh bóng về phía lỗ.
Bóng đi vào lỗ.
A: effect... | effect
****
| task1183_xcopa_commonsense_cause_effect_vi | NIv2 | fs_opt | 4 | train |
In this task your given two statements in Vietnamese. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Example Input: Cô gái đánh rơi quả bóng cao su.
Bóng nảy lên.
... | cause
| task1183_xcopa_commonsense_cause_effect_vi | NIv2 | fs_opt | 3 | train |
In this task your given two statements in Vietnamese. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Ex Input:
Người phụ nữ xin nghỉ việc.
Cô ấy tin rằng cấp trên ... | effect
| task1183_xcopa_commonsense_cause_effect_vi | NIv2 | fs_opt | 1 | train |
Instructions: In this task your given two statements in Vietnamese. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Input: Một đợt hạn hán xảy ra trong khu vực.
Các ... | effect | task1183_xcopa_commonsense_cause_effect_vi | NIv2 | zs_opt | 3 | test |
In this task your given two statements in Vietnamese. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
Input: Consider Input: Hơi thở của người đàn ông rất to.
Phổi ... | Output: effect
| task1183_xcopa_commonsense_cause_effect_vi | NIv2 | fs_opt | 2 | validation |
Definition: In this task, you are given the name of an Indian food dish. You need to classify the dish as "sweet" or "spicy".
Input: Chicken razala
Output: | spicy | task1192_food_flavor_profile | NIv2 | zs_opt | 2 | train |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given the name of an Indian food dish. You need to classify the dish as "sweet" or "spicy".
Keerai poriyal
Solution: spicy
Why? Keerai poriyal is spicy in flavor
New input: Po... | sweet | task1192_food_flavor_profile | NIv2 | fs_opt | 0 | train |
Q: In this task, you are given the name of an Indian food dish. You need to classify the dish as "sweet" or "spicy".
Kheer
A: | sweet | task1192_food_flavor_profile | NIv2 | zs_opt | 7 | train |
Given the task definition and input, reply with output. In this task, you are given the name of an Indian food dish. You need to classify the dish as "sweet" or "spicy".
Thepla
| spicy | task1192_food_flavor_profile | NIv2 | zs_opt | 5 | train |
Detailed Instructions: In this task, you are given the name of an Indian food dish. You need to classify the dish as "sweet" or "spicy".
Q: Qubani ka meetha
A: | sweet | task1192_food_flavor_profile | NIv2 | zs_opt | 9 | train |
Teacher:In this task, you are given the name of an Indian food dish. You need to classify the dish as "sweet" or "spicy".
Teacher: Now, understand the problem? Solve this instance: Bhindi masala
Student: | spicy | task1192_food_flavor_profile | NIv2 | zs_opt | 6 | train |
Detailed Instructions: In this task, you are given the name of an Indian food dish. You need to classify the dish as "sweet" or "spicy".
Q: Khandvi
A: | spicy | task1192_food_flavor_profile | NIv2 | zs_opt | 9 | train |
instruction:
In this task, you are given the name of an Indian food dish. You need to classify the dish as "sweet" or "spicy".
question:
Mishti Chholar Dal
answer:
sweet
question:
Daal baati churma
answer:
spicy
question:
Khandvi
answer:
| spicy
| task1192_food_flavor_profile | NIv2 | fs_opt | 9 | train |
Detailed Instructions: In this task, you are given the name of an Indian food dish. You need to classify the dish as "sweet" or "spicy".
See one example below:
Problem: Keerai poriyal
Solution: spicy
Explanation: Keerai poriyal is spicy in flavor
Problem: Masala Dosa
Solution: | spicy | task1192_food_flavor_profile | NIv2 | fs_opt | 4 | test |
Detailed Instructions: In this task, you are given the name of an Indian food dish. You need to classify the dish as "sweet" or "spicy".
See one example below:
Problem: Keerai poriyal
Solution: spicy
Explanation: Keerai poriyal is spicy in flavor
Problem: Kulfi falooda
Solution: | sweet | task1192_food_flavor_profile | NIv2 | fs_opt | 4 | validation |
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command.... | I_TURN_LEFT I_TURN_LEFT I_JUMP I_TURN_LEFT I_TURN_LEFT I_JUMP I_TURN_LEFT | task128_scan_structured_text_generation_command_action_short | NIv2 | zs_opt | 4 | train |
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command.... | I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_LOOK | task128_scan_structured_text_generation_command_action_short | NIv2 | fs_opt | 6 | train |
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command.... | I_TURN_RIGHT I_TURN_RIGHT I_WALK I_JUMP I_JUMP
| task128_scan_structured_text_generation_command_action_short | NIv2 | fs_opt | 3 | train |
Teacher:Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a ... | I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_JUMP I_JUMP I_JUMP | task128_scan_structured_text_generation_command_action_short | NIv2 | zs_opt | 6 | train |
Detailed Instructions: Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the buildin... | I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_RIGHT I_TURN_RIGHT I_WALK | task128_scan_structured_text_generation_command_action_short | NIv2 | zs_opt | 9 | train |
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command.... | I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_LEFT I_LOOK I_TURN_RIGHT I_TURN_RIGHT I_RUN I_TURN_RIGHT I_TURN_RIGHT I_RUN | task128_scan_structured_text_generation_command_action_short | NIv2 | zs_opt | 0 | train |
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command.... | I_TURN_RIGHT I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_TURN_RIGHT I_JUMP I_LOOK I_LOOK I_LOOK | task128_scan_structured_text_generation_command_action_short | NIv2 | zs_opt | 4 | train |
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command.... | I_TURN_LEFT I_TURN_LEFT I_TURN_LEFT I_WALK | task128_scan_structured_text_generation_command_action_short | NIv2 | zs_opt | 0 | train |
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command.... | I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_LOOK I_LOOK | task128_scan_structured_text_generation_command_action_short | NIv2 | zs_opt | 0 | test |
instruction:
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks f... | I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK I_TURN_RIGHT I_LOOK
| task128_scan_structured_text_generation_command_action_short | NIv2 | fs_opt | 9 | validation |
Detailed Instructions: In this task, you are given an english sentence and a kurdish sentence you have to determine if they both are faithful translations of each other.
Construct an answer that is 'Yes' if the second 'Kurdish' sentence is a translation of 'English' sentence and 'No' otherwise
... | Yes | task910_bianet_classification | NIv2 | fs_opt | 4 | train |
In this task, you are given an english sentence and a kurdish sentence you have to determine if they both are faithful translations of each other.
Construct an answer that is 'Yes' if the second 'Kurdish' sentence is a translation of 'English' sentence and 'No' otherwise
--------
Quest... | Yes
| task910_bianet_classification | NIv2 | fs_opt | 7 | train |
Teacher: In this task, you are given an english sentence and a kurdish sentence you have to determine if they both are faithful translations of each other.
Construct an answer that is 'Yes' if the second 'Kurdish' sentence is a translation of 'English' sentence and 'No' otherwise
Teach... | Yes | task910_bianet_classification | NIv2 | fs_opt | 2 | train |
In this task, you are given an english sentence and a kurdish sentence you have to determine if they both are faithful translations of each other.
Construct an answer that is 'Yes' if the second 'Kurdish' sentence is a translation of 'English' sentence and 'No' otherwise
'English : “A... | No | task910_bianet_classification | NIv2 | zs_opt | 0 | train |
Q: In this task, you are given an english sentence and a kurdish sentence you have to determine if they both are faithful translations of each other.
Construct an answer that is 'Yes' if the second 'Kurdish' sentence is a translation of 'English' sentence and 'No' otherwise
'English : ... | Yes | task910_bianet_classification | NIv2 | zs_opt | 7 | train |
In this task, you are given an english sentence and a kurdish sentence you have to determine if they both are faithful translations of each other.
Construct an answer that is 'Yes' if the second 'Kurdish' sentence is a translation of 'English' sentence and 'No' otherwise
Q: 'English : ... | Yes | task910_bianet_classification | NIv2 | zs_opt | 4 | train |
Detailed Instructions: In this task, you are given an english sentence and a kurdish sentence you have to determine if they both are faithful translations of each other.
Construct an answer that is 'Yes' if the second 'Kurdish' sentence is a translation of 'English' sentence and 'No' otherwise
... | Yes | task910_bianet_classification | NIv2 | zs_opt | 8 | train |
You will be given a definition of a task first, then some input of the task.
In this task, you are given an english sentence and a kurdish sentence you have to determine if they both are faithful translations of each other.
Construct an answer that is 'Yes' if the second 'Kurdish' sentence is a transla... | No | task910_bianet_classification | NIv2 | zs_opt | 1 | train |
In this task, you are given an english sentence and a kurdish sentence you have to determine if they both are faithful translations of each other.
Construct an answer that is 'Yes' if the second 'Kurdish' sentence is a translation of 'English' sentence and 'No' otherwise
Q: 'English : ... | Yes | task910_bianet_classification | NIv2 | zs_opt | 4 | test |
You will be given a definition of a task first, then some input of the task.
In this task, you are given an english sentence and a kurdish sentence you have to determine if they both are faithful translations of each other.
Construct an answer that is 'Yes' if the second 'Kurdish' sentence is a transla... | Yes | task910_bianet_classification | NIv2 | zs_opt | 1 | validation |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: disagree or agree. Classify the comment as disagree if it is likely to raise a certain level of public disagreement, whether healthy or unhealthy. The disagreement can be due to toxic content (... | Agree
| task324_jigsaw_classification_disagree | NIv2 | fs_opt | 1 | train |
Teacher:In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: disagree or agree. Classify the comment as disagree if it is likely to raise a certain level of public disagreement, whether healthy or unhealthy. The disagreement can be due to toxic c... | Agree | task324_jigsaw_classification_disagree | NIv2 | zs_opt | 6 | train |
Teacher:In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: disagree or agree. Classify the comment as disagree if it is likely to raise a certain level of public disagreement, whether healthy or unhealthy. The disagreement can be due to toxic c... | Agree | task324_jigsaw_classification_disagree | NIv2 | zs_opt | 6 | train |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: disagree or agree. Classify the comment as disagree if it is likely to raise a certain level of public disagreement, whether healthy or unhealthy. The disagreement can be due to toxic content (... | Agree | task324_jigsaw_classification_disagree | NIv2 | zs_opt | 4 | train |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: disagree or agree. Classify the comment as disagree if it is likely to raise a certain level of public disagreement, whether healthy or unhealthy. The disagreement can be due to toxic content (... | Agree | task324_jigsaw_classification_disagree | NIv2 | fs_opt | 3 | train |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: disagree or agree. Classify the comment as disagree if it is likely to raise a certain level of public disagreement,... | Agree | task324_jigsaw_classification_disagree | NIv2 | zs_opt | 1 | train |
Part 1. Definition
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: disagree or agree. Classify the comment as disagree if it is likely to raise a certain level of public disagreement, whether healthy or unhealthy. The disagreement can be due... | Disagree | task324_jigsaw_classification_disagree | NIv2 | fs_opt | 7 | train |
Part 1. Definition
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: disagree or agree. Classify the comment as disagree if it is likely to raise a certain level of public disagreement, whether healthy or unhealthy. The disagreement can be due... | Disagree | task324_jigsaw_classification_disagree | NIv2 | fs_opt | 7 | train |
Part 1. Definition
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: disagree or agree. Classify the comment as disagree if it is likely to raise a certain level of public disagreement, whether healthy or unhealthy. The disagreement can be due... | Agree | task324_jigsaw_classification_disagree | NIv2 | fs_opt | 7 | test |
TASK DEFINITION: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: disagree or agree. Classify the comment as disagree if it is likely to raise a certain level of public disagreement, whether healthy or unhealthy. The disagreement can be due t... | Disagree
| task324_jigsaw_classification_disagree | NIv2 | fs_opt | 8 | validation |
In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, with at most 4 new words added/existing words removed. Yo... | Arnold fell into the water. | task068_abductivenli_incorrect_answer_generation | NIv2 | zs_opt | 4 | train |
Given the task definition and input, reply with output. In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, w... | Anne needed a bouquet of chickens. | task068_abductivenli_incorrect_answer_generation | NIv2 | zs_opt | 5 | train |
Detailed Instructions: In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, with at most 4 new words added/exi... | Gina decided to read a book. | task068_abductivenli_incorrect_answer_generation | NIv2 | zs_opt | 9 | train |
In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, with at most 4 new words added/existing words removed. Yo... | Charles did not know who the adult was before the interview.
| task068_abductivenli_incorrect_answer_generation | NIv2 | fs_opt | 7 | train |
In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, with at most 4 new words added/existing words removed. Yo... | A mime ran up behind Spot and barked. | task068_abductivenli_incorrect_answer_generation | NIv2 | fs_opt | 9 | train |
Given the task definition and input, reply with output. In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, w... | Justin was non-transmittabling driving classes. | task068_abductivenli_incorrect_answer_generation | NIv2 | zs_opt | 5 | train |
Given the task definition and input, reply with output. In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, w... | Mike almost hit Perry in the nuts with a racketball. | task068_abductivenli_incorrect_answer_generation | NIv2 | zs_opt | 5 | train |
You will be given a definition of a task first, then some input of the task.
In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alte... | Millie didn't check her blood sugar. | task068_abductivenli_incorrect_answer_generation | NIv2 | zs_opt | 1 | train |
In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, with at most 4 new words added/existing words removed. Yo... | The doctor explained that I gain weight with exercise quickly. | task068_abductivenli_incorrect_answer_generation | NIv2 | zs_opt | 0 | test |
In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, with at most 4 new words added/existing words removed. Yo... | Aaron came across a good car accident.
****
| task068_abductivenli_incorrect_answer_generation | NIv2 | fs_opt | 4 | validation |
In this task, you are given a word, followed by two sentences. Your task is to figure out whether both the sentences use the aforementioned word with the same meaning. You should respond with 'True' if the words in both sentences share the same meaning, and 'False' otherwise.
Ex Input:
bind
Sentence1: Bind the books... | True.
| task625_xlwic_true_or_false_answer_generation | NIv2 | fs_opt | 1 | train |
In this task, you are given a word, followed by two sentences. Your task is to figure out whether both the sentences use the aforementioned word with the same meaning. You should respond with 'True' if the words in both sentences share the same meaning, and 'False' otherwise.
[EX Q]: recognition
Sentence1: He was un... | False.
| task625_xlwic_true_or_false_answer_generation | NIv2 | fs_opt | 6 | train |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a word, followed by two sentences. Your task is to figure out whether both the sentences use the aforementioned word with the same meaning. You should respond with 'True' if the words in both sentences share the sam... | False. | task625_xlwic_true_or_false_answer_generation | NIv2 | fs_opt | 1 | train |
In this task, you are given a word, followed by two sentences. Your task is to figure out whether both the sentences use the aforementioned word with the same meaning. You should respond with 'True' if the words in both sentences share the same meaning, and 'False' otherwise.
Q: dress
Sentence1: Dress the windows.
... | True. | task625_xlwic_true_or_false_answer_generation | NIv2 | zs_opt | 4 | train |
In this task, you are given a word, followed by two sentences. Your task is to figure out whether both the sentences use the aforementioned word with the same meaning. You should respond with 'True' if the words in both sentences share the same meaning, and 'False' otherwise.
transcript
Sentence1: You can obtain a t... | True.
| task625_xlwic_true_or_false_answer_generation | NIv2 | fs_opt | 0 | train |
Given the task definition and input, reply with output. In this task, you are given a word, followed by two sentences. Your task is to figure out whether both the sentences use the aforementioned word with the same meaning. You should respond with 'True' if the words in both sentences share the same meaning, and 'False... | True. | task625_xlwic_true_or_false_answer_generation | NIv2 | zs_opt | 5 | train |
In this task, you are given a word, followed by two sentences. Your task is to figure out whether both the sentences use the aforementioned word with the same meaning. You should respond with 'True' if the words in both sentences share the same meaning, and 'False' otherwise.
[EX Q]: session
Sentence1: A filming ses... | False.
| task625_xlwic_true_or_false_answer_generation | NIv2 | fs_opt | 6 | train |
In this task, you are given a word, followed by two sentences. Your task is to figure out whether both the sentences use the aforementioned word with the same meaning. You should respond with 'True' if the words in both sentences share the same meaning, and 'False' otherwise.
keep
Sentence1: Keep appointments.
Sen... | False. | task625_xlwic_true_or_false_answer_generation | NIv2 | zs_opt | 0 | train |
Detailed Instructions: In this task, you are given a word, followed by two sentences. Your task is to figure out whether both the sentences use the aforementioned word with the same meaning. You should respond with 'True' if the words in both sentences share the same meaning, and 'False' otherwise.
See one example belo... | True. | task625_xlwic_true_or_false_answer_generation | NIv2 | fs_opt | 4 | test |
Teacher:In this task, you are given a word, followed by two sentences. Your task is to figure out whether both the sentences use the aforementioned word with the same meaning. You should respond with 'True' if the words in both sentences share the same meaning, and 'False' otherwise.
Teacher: Now, understand the proble... | False. | task625_xlwic_true_or_false_answer_generation | NIv2 | zs_opt | 6 | validation |
QUESTION: If "A group of soldiers in silhouette against an urban skyline." does that mean that "Soldiers are inside the dining hall."?
Options:
- yes
- it is not possible to tell
- no
SOLUTION: Let's solve this gradually. The soldiers can still be in a dining hall for their silhouette to show through a window with the... | Let's solve this gradually. Winning a game entails scoring more points than the other team.
Answer is yes. | cot_esnli | CoT | fs_opt | 2 | train |
[QUESTION] Given the sentence "Several children are playing outside with a wet tarp on the ground." is it true that "Kids having a water balloon fight."?
Children playing would not necessarily mean having a water balloon fight.
The answer is it is not possible to tell.
Q: Given the sentence "An older man wearing a tan... | Not all young women walking along a beautiful hallway know each other.
The answer is it is not possible to tell. | cot_esnli | CoT | fs_opt | 0 | train |
Premise: "A woman in a sparkly."
Based on this premise, can we conclude that the hypothesis "Blue bodysuit gracefully leans backwards while extending her arm upwards and elongating her neck." is true?
Options:
- yes
- it is not possible to tell
- no A step-by-step solution is:
| A woman in a dark black skirt and grey top is stretching her neck.
The final answer: no. | cot_esnli | CoT | zs_opt | 8 | train |
Can we conclude from "A naked cowboy taking pictures with two ladies." that "The cowboy is taking pictures with two ladies."?
Options:
- yes
- no
- it is not possible to tell
Let's solve step-by-step: | A cowboy taking pictures with two ladies is said the same way. The answer is yes. | cot_esnli | CoT | zs_opt | 0 | train |
Q: Premise: "Woman getting photographed as she runs along the beach."
Hypothesis: "A woman is at the beach."
Is the hypothesis entailed by the premise?
Options:
- yes
- it is not possible to tell
- no
A: A woman runs along the beach must be at the beach.
The answer is yes.
QUESTION: Premise: "Fans and players celebrat... | A group of people being on the beach is assumed because they are said to be already relaxing on the beach.
The answer is yes. | cot_esnli | CoT | fs_opt | 2 | train |
Test for natural language inference.
Premise: "A crowd of individuals on the beach listening to a man."
Hypothesis: "Nobody is listening."
Is the hypothesis entailed by the premise?
Options:
- yes
- no
- it is not possible to tell Step by step answer: | Nobody is listening can't be correct if a crowd is listening. Therefore, the final answer is no. | cot_esnli | CoT | zs_opt | 1 | train |
Student asked: Given the sentence "A crowd admiring modern art?." can we conclude that "A group of people are looking at the surfer surfing."?
Options:
- yes
- it is not possible to tell
- no
Teacher's response: Let's think. A crowd can be more than a group of people. Art is not action but surfing is. The answer is no.... | Let's think. A woman enjoying her clothing being blown by the wind is not assumed to be standing. The answer is it is not possible to tell. | cot_esnli | CoT | fs_opt | 7 | train |
Premise: "Two people jump up and down on a cliff overlooking a valley."
Based on this premise, can we conclude that the hypothesis "Two people on a cliff are excited to have made it to the top to see the beautiful valley." is true?
Options:
- yes
- it is not possible to tell
- no
it is not possible to tell
Explanation... | it is not possible to tell
Explanation: A group doesn't necessarily imply six friends. A snow sled jumping doesn't necessarily imply a snow ramp.. | cot_esnli | CoT | fs_opt | 9 | train |
Premise: "A line forms outside a mobile sharping truck with various items in hand."
Hypothesis: "People are waiting."
Do we know that the hypothesis entailed by the premise? Let's be accurate as possible and think first. | When a line forms it is a given that waiting is involved. Final answer: yes. | cot_esnli | CoT | zs_opt | 6 | test |
Can we conclude from "A man with a guitar and a microphone stands on stage." that "A man with a guitar on a stage is smiling."?
Options:
- yes
- no
- it is not possible to tell Now, let's be accurate as possible. Some thinking first: | A man with guitar and mircrophone not necessarily smiling when he stands on stage. So, the answer is it is not possible to tell. | cot_esnli | CoT | zs_opt | 3 | validation |
For this chain-of-thought reasoning and answer, what was the question?
The relevant information to answer the above question is: The Tuotuo River (沱 沱 河, p Tuótuó Hé, lit. "Tearful River" is the official headstream of the Yangtze, and flows 358 km ( 222 mi) from the glaciers of the Gelaindong Massif in the Tanggula Mou... | Q: The Tuotuo River (沱 沱 河, p Tuótuó Hé, lit. "Tearful River" is the official headstream of the Yangtze, and flows 358 km ( 222 mi) from the glaciers of the Gelaindong Massif in the Tanggula Mountains of southwestern Qinghai to the confluence with the Dangqu River to form the Tongtian River. ) In Mongolian, this sectio... | stream_qed_ii | CoT | zs_opt | 1 | train |
Creatively image a question and justification for this answer: Luigi | The question is: Context: Luigi (Japanese: ルイージ, Hepburn: Ruīji, ( ɾɯ. iː. dʑi̥) ) (English: / luˈiːdʒi /; Italian: ( luˈiːdʒi) ) is a fictional character featured in video games and related media released by Nintendo. Created by prominent game designer Shigeru Miyamoto, Luigi is portrayed as the slightly younger but t... | stream_qed_ii | CoT | zs_opt | 9 | train |
a: The relevant information to answer the above question is: "The Star-Spangled Banner" is the national anthem of the United States.
The Star - Spangled Banner
q: Context: "The Star-Spangled Banner" is the national anthem of the United States. The lyrics come from Defence of Fort M'Henry, a poem written on September 14... | Urine is formed in the kidneys through a filtration of blood. The urine is then passed through the ureters to the bladder, where it is stored. During urination, the urine is passed from the bladder through the urethra to the outside of the body.
Based on this passage, which structure in the urinary system carries urin... | stream_qed_ii | CoT | fs_opt | 7 | train |
For this chain-of-thought reasoning and answer, what was the question?
The relevant information to answer the above question is: Max Charles as Sherman, Peabody's seven-year-old adopted boy
A: Max Charles | Q: Ty Burrell as Mr. Peabody, a talking dog, business titan, inventor, scientist, Nobel laureate, gourmet chef, and two-time Olympic medalist Max Charles as Sherman, Peabody's seven-year-old adopted boy Ariel Winter as Penny Peterson, Mr. and Mrs. Peterson's daughter and Sherman's classmate Stephen Colbert as Paul Pete... | stream_qed_ii | CoT | zs_opt | 1 | train |
Ans: William Laws Calley Jr.
Ques: William Laws Calley Jr. (born June 8, 1943) is a former United States Army officer convicted by court-martial of murdering 22 unarmed South Vietnamese civilians in the My Lai Massacre on March 16, 1968, during the Vietnam War. While not technically exonerated, after three and a half y... | Ques: A school shooting occurred at Marjory Stoneman Douglas High School in Parkland, Broward County, Florida, part of the Miami metropolitan area, on February 14, 2018. Seventeen people -- fourteen students and three staff members -- were fatally shot and seventeen others were wounded, making the shooting one of the d... | stream_qed_ii | CoT | fs_opt | 0 | train |
Ans: Debuting on November 23 , 2006
Ques: Debuting on November 23, 2006, the telecasts were originally part of NFL Network's Run to the Playoffs package, which consisted of eight total games broadcast on Thursday and Saturday nights (five on Thursdays, and three on Saturdays, originally branded as Saturday Night Footba... | Ques: Christopher Cross "Chris" Griffin is a fictional character from the American animated television series Family Guy. He is the elder son and middle child of Peter and Lois Griffin and brother of Stewie and Meg Griffin. He is voiced by Seth Green and first appeared on television, along with the rest of the family, ... | stream_qed_ii | CoT | fs_opt | 0 | train |
Answer: John Cabot ( Italian : Giovanni Caboto ; c. 1450 -- c. 1500 ). Now, what could be the question and solution-maybe?
Ques: Context: John Cabot (Italian: Giovanni Caboto; c. 1450 -- c. 1500) was a Venetian navigator and explorer whose 1497 discovery of the coast of North America under the commission of Henry VII o... | Ques: Context: The show's theme was called "There's a New Girl in Town", with music by David Shire, lyrics by Alan Bergman and Marilyn Bergman; performed by Linda Lavin. Several different arrangements of this tune were used throughout the series' run; the lyrics were altered after the second season.
Question: who sing... | stream_qed_ii | CoT | fs_opt | 2 | train |
Come up with a question and reasoning that would justify this answer: 2019 | The question is: Love Island Australia will return for a second season in 2019. The new season will air on Nine's primary channel, with the series expected to move from Spain and to a new location.
Answer this question based on the passage: when does love island australia season 2 start?
Step-by-step reasoning process... | stream_qed_ii | CoT | zs_opt | 8 | train |
To answer the above question, the relevant sentence is: In the education systems of England, Northern Ireland, Wales and some other Commonwealth countries, sixth form (sometimes referred to as Key Stage 5) represents the final 1-3 years of secondary education (high school), where students (typically between 16 and 18 y... | Passage: In the education systems of England, Northern Ireland, Wales and some other Commonwealth countries, sixth form (sometimes referred to as Key Stage 5) represents the final 1-3 years of secondary education (high school), where students (typically between 16 and 18 years of age) prepare for their A-level (or equi... | stream_qed_ii | CoT | zs_opt | 6 | test |
Answer: the cells of the immune system. Now, what could be the question and solution-maybe?
Ques: Context: White blood cells (also called leukocytes or leucocytes and abbreviated as WBCs) are the cells of the immune system that are involved in protecting the body against both infectious disease and foreign invaders. Al... | Ques: Passage: Reverse chronology is a method of story-telling whereby the plot is revealed in reverse order.
Question: Based on this passage, whats it called when a story starts at the end?
CoT: The important part for answering this question is: Reverse chronology is a method of story-telling whereby the plot is reve... | stream_qed_ii | CoT | fs_opt | 4 | validation |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.