tags listlengths 0 2 | dataset_name stringclasses 2
values | dataset_subset stringclasses 1
value | answer_choices listlengths 0 3 | text_direction stringclasses 1
value | prompter_id stringclasses 7
values | split_name stringclasses 3
values | full_instruction stringlengths 123 4.85k | instruction_input stringlengths 107 4.44k | instruction_output stringlengths 5 1.07k | instruction_template stringclasses 27
values | instruction_template_id int64 14.6k 14.9k | instruction_name stringclasses 26
values | instruction_tasks listlengths 1 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: هجوم صاروخي يستهدف مطار في طرابلس ويجبر ليبيا على تغيير مسار الرحلات الجوية and sentence 2: هدوء الاشتباكات فى طرابلس.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: هجوم صاروخي يستهدف مطار في طرابلس ويجبر ليبيا على تغيير مسار الرحلات الجوية and sentence 2: هدوء الاشتباكات فى طرابلس.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: ارتفاع على النفط عالميا والسبب الخام الأميركي and sentence 2: الخام الاميركي يسبب انخفاضا في اسعار النفط.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: ارتفاع على النفط عالميا والسبب الخام الأميركي and sentence 2: الخام الاميركي يسبب انخفاضا في اسعار النفط.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: وفاة النجمة سريديفي تثير نقاشا حول الحياة الخفية بمجتمع السينما الهندية and sentence 2: فتح النقاش بشأن الحياة الخفية للسينما الإماراتية بعد وفاة النجمة سريديفي.
Let's think step by ... | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: وفاة النجمة سريديفي تثير نقاشا حول الحياة الخفية بمجتمع السينما الهندية and sentence 2: فتح النقاش بشأن الحياة الخفية للسينما الإماراتية بعد وفاة النجمة سريديفي.
Let's think step by ... | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: ملياردير أميركي مدمن على شراء أسهم أبل and sentence 2: ملياردير أميركي يدمن شراء سيارات تسلا.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: ملياردير أميركي مدمن على شراء أسهم أبل and sentence 2: ملياردير أميركي يدمن شراء سيارات تسلا.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: أول دولة تواجه موجة الحر بتخفيض أسعار الكهرباء للمواطنين and sentence 2: دولة تواجه موجة حر برفع أسعار الكهرباء.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: أول دولة تواجه موجة الحر بتخفيض أسعار الكهرباء للمواطنين and sentence 2: دولة تواجه موجة حر برفع أسعار الكهرباء.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: نيكاي يرتفع لأعلى مستوى منذ 1991 and sentence 2: ارتفاع قياسي لمؤشر نيكاي منذ ١٩٩١.
Let's think step by step:
|||
agree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: نيكاي يرتفع لأعلى مستوى منذ 1991 and sentence 2: ارتفاع قياسي لمؤشر نيكاي منذ ١٩٩١.
Let's think step by step: | agree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: الصليب الأحمر يسحب 71 عامل إغاثة من اليمن خوفا على سلامتهم and sentence 2: سحب 71 عامل إغاثة تابعين للصليب الأحمر من اليمن خوفا على سلامتهم.
Let's think step by step:
|||
agree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: الصليب الأحمر يسحب 71 عامل إغاثة من اليمن خوفا على سلامتهم and sentence 2: سحب 71 عامل إغاثة تابعين للصليب الأحمر من اليمن خوفا على سلامتهم.
Let's think step by step: | agree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: الذهب يرتفع لأعلى مستوى له منذ 12 أسبوعا and sentence 2: انخفاض الذهب لأدنى مستوى في ١٢ اسبوعا.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: الذهب يرتفع لأعلى مستوى له منذ 12 أسبوعا and sentence 2: انخفاض الذهب لأدنى مستوى في ١٢ اسبوعا.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: التعاملات المبكرة : تراجع في النفط and sentence 2: صعود في النفط في المعاملات المبكرة.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: التعاملات المبكرة : تراجع في النفط and sentence 2: صعود في النفط في المعاملات المبكرة.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: إجراءات من البنك المركزي التركي لإنقاذ الليرة and sentence 2: المركزي التركي يساهم في مشكلة انخفاض قيمة الليرة.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: إجراءات من البنك المركزي التركي لإنقاذ الليرة and sentence 2: المركزي التركي يساهم في مشكلة انخفاض قيمة الليرة.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: جماعة فيلق الرحمن توافق على الانسحاب من الغوطة الشرقية and sentence 2: جماعة فيلق الرحمن تنفي إنسحابها من الغوطة الشرقية.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: جماعة فيلق الرحمن توافق على الانسحاب من الغوطة الشرقية and sentence 2: جماعة فيلق الرحمن تنفي إنسحابها من الغوطة الشرقية.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: القوات السعودية: اعتراض صاروخ باليستيا من اليمن استهدف نجران and sentence 2: القوات السعودية تفشل فى اعتراض صاروخ استهدف نجران.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: القوات السعودية: اعتراض صاروخ باليستيا من اليمن استهدف نجران and sentence 2: القوات السعودية تفشل فى اعتراض صاروخ استهدف نجران.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: الصين تتحدى الولايات المتحدة بـإجراءات جديدة and sentence 2: إجراءات صينية جديدة تتحدى أميركا.
Let's think step by step:
|||
agree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: الصين تتحدى الولايات المتحدة بـإجراءات جديدة and sentence 2: إجراءات صينية جديدة تتحدى أميركا.
Let's think step by step: | agree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: ليبيا تصدر حكما بإعدام 45 شخصا متهمين بقتل متظاهرين عام 2011 and sentence 2: ليبيا تعلن حكما ببراءة 45 شخصا سبق اتهامهم بقتل المتظاهرين.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: ليبيا تصدر حكما بإعدام 45 شخصا متهمين بقتل متظاهرين عام 2011 and sentence 2: ليبيا تعلن حكما ببراءة 45 شخصا سبق اتهامهم بقتل المتظاهرين.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: أمريكا وتركيا: اتفاق بومبيو وأوغلو على الحوار والتعاون الوثيق لحل الخلافات and sentence 2: خلاف بين بومبيو وأوغلو.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: أمريكا وتركيا: اتفاق بومبيو وأوغلو على الحوار والتعاون الوثيق لحل الخلافات and sentence 2: خلاف بين بومبيو وأوغلو.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: قرابة نصف مليار يورو من فرنسا لصالح لبنان and sentence 2: فرنسا ترفض إقراض لبنان.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: قرابة نصف مليار يورو من فرنسا لصالح لبنان and sentence 2: فرنسا ترفض إقراض لبنان.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: مدعية المحكمة الجنايات الدولية تطالب بإنهاء العنف في غزة and sentence 2: محكمة الجنايات الدولية تتجاهل الأوضاع في غزة.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: مدعية المحكمة الجنايات الدولية تطالب بإنهاء العنف في غزة and sentence 2: محكمة الجنايات الدولية تتجاهل الأوضاع في غزة.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: مخزونات الخام الأميركي تهوي بالنفط and sentence 2: مخزونات الخام الأميركي تصعد بالنفط.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: مخزونات الخام الأميركي تهوي بالنفط and sentence 2: مخزونات الخام الأميركي تصعد بالنفط.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: جثمان البطش يتعرض للتشريح من قبل السلطات الماليزية and sentence 2: دفن جثمان البطش دون تشريحه.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: جثمان البطش يتعرض للتشريح من قبل السلطات الماليزية and sentence 2: دفن جثمان البطش دون تشريحه.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: هل نجحت عقوبات ترامب في هز بازار طهران؟ and sentence 2: مساع صينية لردع ترامب بـخطة أوروبية.
Let's think step by step:
|||
other | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: هل نجحت عقوبات ترامب في هز بازار طهران؟ and sentence 2: مساع صينية لردع ترامب بـخطة أوروبية.
Let's think step by step: | other | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: هل النساء اكثر سعادة من الرجال and sentence 2: هل الأطفال اكثر سعادة من الرجال.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: هل النساء اكثر سعادة من الرجال and sentence 2: هل الأطفال اكثر سعادة من الرجال.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: بريطانيا تطرح ورقة نقدية جديدة أكثر أمنا and sentence 2: بريطانيا تطرح ورقة نقدية غير آمنة.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: بريطانيا تطرح ورقة نقدية جديدة أكثر أمنا and sentence 2: بريطانيا تطرح ورقة نقدية غير آمنة.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: قفزة للنفط قبيل توجيه ضربة لسوريا and sentence 2: النفط يهبط لمستوى قياسي قبل توجيه ضربة لسوريا.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: قفزة للنفط قبيل توجيه ضربة لسوريا and sentence 2: النفط يهبط لمستوى قياسي قبل توجيه ضربة لسوريا.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: ظريف ردا على نتنياهو: افتحوا منشآتكم النووية أمام المفتشين الدوليين and sentence 2: مطالبات من ظريف لنتنياهو بفتح منشآت إسرائيل النووية للمفتشين الدوليين.
Let's think step by step:
|... | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: ظريف ردا على نتنياهو: افتحوا منشآتكم النووية أمام المفتشين الدوليين and sentence 2: مطالبات من ظريف لنتنياهو بفتح منشآت إسرائيل النووية للمفتشين الدوليين.
Let's think step by step: | agree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: ارتفاع لسعر الدولار يعوض خسائر التعاملات المبكرة and sentence 2: ارتفاع لسعر اليورو يعوض خسائر التعاملات المبكرة.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: ارتفاع لسعر الدولار يعوض خسائر التعاملات المبكرة and sentence 2: ارتفاع لسعر اليورو يعوض خسائر التعاملات المبكرة.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: الذهب يتراجع مع تصريحات ترامب حول كوريا الشمالية and sentence 2: الذهب يرتفع مع تصريحات ترامب حول كوريا الشمالية.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: الذهب يتراجع مع تصريحات ترامب حول كوريا الشمالية and sentence 2: الذهب يرتفع مع تصريحات ترامب حول كوريا الشمالية.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: السيارات الكهربائية في مصر.. ثورة في المحطات والأسعار and sentence 2: السيارات الكهربائية تثير زوبعة في محطات مصر.
Let's think step by step:
|||
agree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: السيارات الكهربائية في مصر.. ثورة في المحطات والأسعار and sentence 2: السيارات الكهربائية تثير زوبعة في محطات مصر.
Let's think step by step: | agree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: تركيا تحذر فرنسا من ارتكاب نفس خطأ الولايات المتحدة في سوريا and sentence 2: تركيا تدعو فرنسا للسير على خطى الولايات المتحدة فى سوريا.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: تركيا تحذر فرنسا من ارتكاب نفس خطأ الولايات المتحدة في سوريا and sentence 2: تركيا تدعو فرنسا للسير على خطى الولايات المتحدة فى سوريا.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: الاستخبارات التركية تقتنص مهاجم ريحانلي and sentence 2: اقتنصت المخابرات التركية مهاجم ريحانلى.
Let's think step by step:
|||
agree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: الاستخبارات التركية تقتنص مهاجم ريحانلي and sentence 2: اقتنصت المخابرات التركية مهاجم ريحانلى.
Let's think step by step: | agree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: مصر: تعيين حكومة جديدة والدفاع والداخلية أبرز التغييرات and sentence 2: استمرار الحكومة دون تغيير فى مصر.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: مصر: تعيين حكومة جديدة والدفاع والداخلية أبرز التغييرات and sentence 2: استمرار الحكومة دون تغيير فى مصر.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: القطرية تسعى لتعويض خسائرها بـإجراء جديد and sentence 2: الخطوط الكويتية تتخذ إجراءات لوقف الخسائر.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: القطرية تسعى لتعويض خسائرها بـإجراء جديد and sentence 2: الخطوط الكويتية تتخذ إجراءات لوقف الخسائر.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: تيلرسون في أنقرة التي تطالب باستبعاد ميليشيا كردية من قوات سوريا الديمقراطية and sentence 2: حرصت تيلرسون على طرد ميليشيا كردية من القوات السورية.
Let's think step by step:
|||
agree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: تيلرسون في أنقرة التي تطالب باستبعاد ميليشيا كردية من قوات سوريا الديمقراطية and sentence 2: حرصت تيلرسون على طرد ميليشيا كردية من القوات السورية.
Let's think step by step: | agree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: السعودية تأمر بتسليم 25 مدرسة للقطاع الخاص and sentence 2: تسليم ٢٥ مدرسة للقطاع الخاص في المملكة السعودية.
Let's think step by step:
|||
agree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: السعودية تأمر بتسليم 25 مدرسة للقطاع الخاص and sentence 2: تسليم ٢٥ مدرسة للقطاع الخاص في المملكة السعودية.
Let's think step by step: | agree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: رحلة للتاريخ بين لندن وبيرث and sentence 2: رحلة تاريخية بين لندن وبرلين.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: رحلة للتاريخ بين لندن وبيرث and sentence 2: رحلة تاريخية بين لندن وبرلين.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: الروبل الروسي في أزمة متواصلة وصواريخ ترامب تفاقمها and sentence 2: الروبل الروسي يتعافى وصواريخ ترامب سببا.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: الروبل الروسي في أزمة متواصلة وصواريخ ترامب تفاقمها and sentence 2: الروبل الروسي يتعافى وصواريخ ترامب سببا.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: الأساطير المحيطة بالممثلين اليهودي في مصر تتحطم على يد المؤرخ السينمائي أشرف غريب and sentence 2: الأساطير المحيطة بالممثلين المجوس في مصر تتحطم على يد المؤرخ السينمائي أشرف غريب.
Le... | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: الأساطير المحيطة بالممثلين اليهودي في مصر تتحطم على يد المؤرخ السينمائي أشرف غريب and sentence 2: الأساطير المحيطة بالممثلين المجوس في مصر تتحطم على يد المؤرخ السينمائي أشرف غريب.
Le... | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: سوريا: موجة نزوح كبيرة من عفرين مع استمرار الهجمات التركية and sentence 2: نزوح أعداد كبيرة من عفرين مع استمرار الهجمات التركية.
Let's think step by step:
|||
agree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: سوريا: موجة نزوح كبيرة من عفرين مع استمرار الهجمات التركية and sentence 2: نزوح أعداد كبيرة من عفرين مع استمرار الهجمات التركية.
Let's think step by step: | agree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: بتكوين تهبط لأدنى مستوى وتواصل اتجاها نزوليا and sentence 2: ارتفاع مفاجئ في أسعار البتكوين.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: بتكوين تهبط لأدنى مستوى وتواصل اتجاها نزوليا and sentence 2: ارتفاع مفاجئ في أسعار البتكوين.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: إسرائيل تمنح أكثر من 16 ألف طالب لجوء حق الإقامة الدائمة and sentence 2: منعت إسرائيل أكثر من 16 ألف طالب من الإقامة الدائمة.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: إسرائيل تمنح أكثر من 16 ألف طالب لجوء حق الإقامة الدائمة and sentence 2: منعت إسرائيل أكثر من 16 ألف طالب من الإقامة الدائمة.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: الصليب الأحمر يسحب 71 عامل إغاثة من اليمن خوفا على سلامتهم and sentence 2: استمرار اعمال الصليب الأحمر فى اليمن.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: الصليب الأحمر يسحب 71 عامل إغاثة من اليمن خوفا على سلامتهم and sentence 2: استمرار اعمال الصليب الأحمر فى اليمن.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: احتجاجات على رداءة المياه جنوب غربي إيران and sentence 2: المواطنون يشيدون بحسن جودة المياه جنوب غربي إيران.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: احتجاجات على رداءة المياه جنوب غربي إيران and sentence 2: المواطنون يشيدون بحسن جودة المياه جنوب غربي إيران.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: المغنية ريانا تنال لقب سفيرة فوق العادة من دولة باربادوس and sentence 2: المغنية لانا ديل راي تنال لقب سفيرة فوق العادة من دولة باربادوس.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: المغنية ريانا تنال لقب سفيرة فوق العادة من دولة باربادوس and sentence 2: المغنية لانا ديل راي تنال لقب سفيرة فوق العادة من دولة باربادوس.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: تركيا ترد على واشنطن برسوم جمركية and sentence 2: رسوم جمركية جديدة على السلع التركية في أميركا.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: تركيا ترد على واشنطن برسوم جمركية and sentence 2: رسوم جمركية جديدة على السلع التركية في أميركا.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: مصر.. رسوم جمركية جديدة للتشجيع والاستغناء and sentence 2: رسوم جمركية مصرية على سلع لتشجيع المحلي.
Let's think step by step:
|||
agree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: مصر.. رسوم جمركية جديدة للتشجيع والاستغناء and sentence 2: رسوم جمركية مصرية على سلع لتشجيع المحلي.
Let's think step by step: | agree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: دخول مساعدات غذائية للغوطة رغم استمرار القتال والقصف and sentence 2: مساعدات غذائية للغوطة على الرغم من استمرار القتال و العنف.
Let's think step by step:
|||
agree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: دخول مساعدات غذائية للغوطة رغم استمرار القتال والقصف and sentence 2: مساعدات غذائية للغوطة على الرغم من استمرار القتال و العنف.
Let's think step by step: | agree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: المركزي التركي: لا مؤامرة على الليرة and sentence 2: استهداف الليرة التركية والبنك المركزي يؤكد.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: المركزي التركي: لا مؤامرة على الليرة and sentence 2: استهداف الليرة التركية والبنك المركزي يؤكد.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: بعد فيسبوك.. غوغل توجه ضربة قوية لعملة بتكوين and sentence 2: غوغل تدعم بت كوين على غرار فيسبوك.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: بعد فيسبوك.. غوغل توجه ضربة قوية لعملة بتكوين and sentence 2: غوغل تدعم بت كوين على غرار فيسبوك.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: الذهب يرتفع مع تراجع الدولار and sentence 2: الذهب يرتفع مع تراجع النفط.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: الذهب يرتفع مع تراجع الدولار and sentence 2: الذهب يرتفع مع تراجع النفط.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: السودان يفتح أبوابه للاستثمارات الصينية and sentence 2: الصين تستثمر قريباً في الصومال.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: السودان يفتح أبوابه للاستثمارات الصينية and sentence 2: الصين تستثمر قريباً في الصومال.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: إغلاق موقع إلكتروني والقبض على رئيس تحريره في مصر لأسباب إدارية and sentence 2: مصر: إغلاق موقع إلكتروني والقبض على رئيس تحريره بسبب أمور إدارية.
Let's think step by step:
|||
agree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: إغلاق موقع إلكتروني والقبض على رئيس تحريره في مصر لأسباب إدارية and sentence 2: مصر: إغلاق موقع إلكتروني والقبض على رئيس تحريره بسبب أمور إدارية.
Let's think step by step: | agree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: اختفاء خاشقجي: ضغوط على السعودية ورجال أعمال يُقاطعون مؤتمرها الاستثماري and sentence 2: جمال خاشقجي: أمس ما يحتاجه العالم العربي هو حرية التعبير.
Let's think step by step:
|||
other | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: اختفاء خاشقجي: ضغوط على السعودية ورجال أعمال يُقاطعون مؤتمرها الاستثماري and sentence 2: جمال خاشقجي: أمس ما يحتاجه العالم العربي هو حرية التعبير.
Let's think step by step: | other | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: الصين تتحدى الولايات المتحدة بـإجراءات جديدة and sentence 2: أميركا تتحدى الصين في إجراءات جديدة.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: الصين تتحدى الولايات المتحدة بـإجراءات جديدة and sentence 2: أميركا تتحدى الصين في إجراءات جديدة.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: البشير: حلول جذرية لمشاكل الاقتصاد السوداني and sentence 2: البشير يبشر بحلول اقتصادية جديدة.
Let's think step by step:
|||
agree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: البشير: حلول جذرية لمشاكل الاقتصاد السوداني and sentence 2: البشير يبشر بحلول اقتصادية جديدة.
Let's think step by step: | agree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: السعودية تسمح للهند باستخدام مجالها الجوي في رحلاتها إلى تل أبيب and sentence 2: السعودية تغلق مجالها الجوى أمام الهند فى رحلاتها إلى تل أبيب.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: السعودية تسمح للهند باستخدام مجالها الجوي في رحلاتها إلى تل أبيب and sentence 2: السعودية تغلق مجالها الجوى أمام الهند فى رحلاتها إلى تل أبيب.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: خسائر كبيرة لـجنرال إلكتريك and sentence 2: جنرال إلكتريك تخسر الكثير.
Let's think step by step:
|||
agree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: خسائر كبيرة لـجنرال إلكتريك and sentence 2: جنرال إلكتريك تخسر الكثير.
Let's think step by step: | agree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: رغم القرض العملاق.. العملة الأرجنتينية تواصل الانزلاق and sentence 2: فشل دفع عملة الأرجنتين رغم القرض العملاق.
Let's think step by step:
|||
agree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: رغم القرض العملاق.. العملة الأرجنتينية تواصل الانزلاق and sentence 2: فشل دفع عملة الأرجنتين رغم القرض العملاق.
Let's think step by step: | agree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: 11 شاحنة غاز مصرية تدخل قطاع غزة and sentence 2: غاز مصري إلى غزة.
Let's think step by step:
|||
agree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: 11 شاحنة غاز مصرية تدخل قطاع غزة and sentence 2: غاز مصري إلى غزة.
Let's think step by step: | agree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: زيادة على الرسوم الجمركية في الجزائر and sentence 2: الجزائر تخفض رسومها الجمركية.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: زيادة على الرسوم الجمركية في الجزائر and sentence 2: الجزائر تخفض رسومها الجمركية.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: تجميد قرار رفع المحروقات بالأردن and sentence 2: العاهل الأردني مع سريان قرار المحروقات الجديد.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: تجميد قرار رفع المحروقات بالأردن and sentence 2: العاهل الأردني مع سريان قرار المحروقات الجديد.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: تركيا: السجن المؤبد لستة صحفيين لعلاقتهم بالانقلاب and sentence 2: اطلاق سراح 6 صحفيين فى تركيا.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: تركيا: السجن المؤبد لستة صحفيين لعلاقتهم بالانقلاب and sentence 2: اطلاق سراح 6 صحفيين فى تركيا.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: إنفوغرافيك.. الليرة التركية تغوص نحو المجهول and sentence 2: إنفوغرافيك يبين ذهاب الليرة اللبنانية إلى المجهول.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: إنفوغرافيك.. الليرة التركية تغوص نحو المجهول and sentence 2: إنفوغرافيك يبين ذهاب الليرة اللبنانية إلى المجهول.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: قانون الأوقاف الجديد في سوريا، أين المشكلة؟ and sentence 2: قانون الأوقات الجديد فى سوريا يلقى قبول الجميع.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: قانون الأوقاف الجديد في سوريا، أين المشكلة؟ and sentence 2: قانون الأوقات الجديد فى سوريا يلقى قبول الجميع.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: الأمم المتحدة: القتال في الغوطة أدى إلى نزوح 50 ألف مدني and sentence 2: تم تهجير 50 ألف مواطن بسبب القتال في الغوطة.
Let's think step by step:
|||
agree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: الأمم المتحدة: القتال في الغوطة أدى إلى نزوح 50 ألف مدني and sentence 2: تم تهجير 50 ألف مواطن بسبب القتال في الغوطة.
Let's think step by step: | agree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: توتال: الاستثمار في النفط الصخري مكلف للغاية and sentence 2: توتال متجهة للاستثمار في النفط الصخري.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: توتال: الاستثمار في النفط الصخري مكلف للغاية and sentence 2: توتال متجهة للاستثمار في النفط الصخري.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: تصريحات ترامب تعوض خسائر النفط الأخيرة and sentence 2: إعلان ترامب يلحق خسائر بالغة بأسعار النفط.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: تصريحات ترامب تعوض خسائر النفط الأخيرة and sentence 2: إعلان ترامب يلحق خسائر بالغة بأسعار النفط.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: اكتشاف حقول معادن ثمينة تسد حاجات العالم لقرون and sentence 2: اكتشاف حقول نفطية تسد الاحتياج العالمي لقرون.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: اكتشاف حقول معادن ثمينة تسد حاجات العالم لقرون and sentence 2: اكتشاف حقول نفطية تسد الاحتياج العالمي لقرون.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: تعرف على من يشملهم قرار مصادرة أملاك رموز حكم صدام حسين and sentence 2: إلغاء مصادرة أملاك رموز حكم صدام حسين.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: تعرف على من يشملهم قرار مصادرة أملاك رموز حكم صدام حسين and sentence 2: إلغاء مصادرة أملاك رموز حكم صدام حسين.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: رئيس الوزراء الإثيوبي يطمئن مصر بشأن سد النهضة and sentence 2: مصر تطمئن أثيوبيا حول سد النهضة.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: رئيس الوزراء الإثيوبي يطمئن مصر بشأن سد النهضة and sentence 2: مصر تطمئن أثيوبيا حول سد النهضة.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: تقارير عن مقتل وإصابة إسرائيليين على يد مسلح فلسطيني and sentence 2: أنباء عن مقتل أمريكيين على يد مسلح فلسطيني.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: تقارير عن مقتل وإصابة إسرائيليين على يد مسلح فلسطيني and sentence 2: أنباء عن مقتل أمريكيين على يد مسلح فلسطيني.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: اختفاء خاشقجي: تركيا تنتظر التفاهم مع السعودية لبدء تفتيش مقر القنصل باسطنبول and sentence 2: تركيا ترفض التفاهم مع الجانب السعودي.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: اختفاء خاشقجي: تركيا تنتظر التفاهم مع السعودية لبدء تفتيش مقر القنصل باسطنبول and sentence 2: تركيا ترفض التفاهم مع الجانب السعودي.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: أمام تراجع أسعار النفط أوبك تتجه لزيادة الإنتاج and sentence 2: أوبك قد تخفض الأنتاج أمام صعود أسعار النفط.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: أمام تراجع أسعار النفط أوبك تتجه لزيادة الإنتاج and sentence 2: أوبك قد تخفض الأنتاج أمام صعود أسعار النفط.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: افتتاح أول دار عرض في السعودية منذ أكثر من 35 عاما بفيلم النمر الأسود and sentence 2: السعودية تشيد دارا للأوبرا ضمن استثمارات ترفيهية تكلفتها 64 مليار دولار.
Let's think step by ste... | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: افتتاح أول دار عرض في السعودية منذ أكثر من 35 عاما بفيلم النمر الأسود and sentence 2: السعودية تشيد دارا للأوبرا ضمن استثمارات ترفيهية تكلفتها 64 مليار دولار.
Let's think step by ste... | other | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: ترحيب بظهور أشهر عارضات الأزياء الممتلئات في العالم من دون رتوش and sentence 2: هل دفعت قطر أكبر فدية في التأريخ لتحرير الأمراء المخطوفين في العراق؟.
Let's think step by step:
|||
ot... | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: ترحيب بظهور أشهر عارضات الأزياء الممتلئات في العالم من دون رتوش and sentence 2: هل دفعت قطر أكبر فدية في التأريخ لتحرير الأمراء المخطوفين في العراق؟.
Let's think step by step: | other | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: توقف العمل فى ميناء أم قصر نتيجة للاشتباكات العنيفة فى مظاهرات البصرة and sentence 2: استمرار العمل فى ميناء أم قصر رغم الاشتباكات العنيفة فى مظاهرات البصرة.
Let's think step by step... | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: توقف العمل فى ميناء أم قصر نتيجة للاشتباكات العنيفة فى مظاهرات البصرة and sentence 2: استمرار العمل فى ميناء أم قصر رغم الاشتباكات العنيفة فى مظاهرات البصرة.
Let's think step by step... | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: بالأرقام.. كيف انهارت الليرة؟ وماذا ينتظر الاقتصاد التركي؟ and sentence 2: انهيار الليرة اللبنانية بالأرقام.. و ما هو مصير الاقتصاد الببناني؟.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: بالأرقام.. كيف انهارت الليرة؟ وماذا ينتظر الاقتصاد التركي؟ and sentence 2: انهيار الليرة اللبنانية بالأرقام.. و ما هو مصير الاقتصاد الببناني؟.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: التضخم يسجل أعلى مستوياته في تركيا منذ أعوام and sentence 2: تسجيل ادنى مستوى للتضخم في تركيا منذ ١٥ عاما.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: التضخم يسجل أعلى مستوياته في تركيا منذ أعوام and sentence 2: تسجيل ادنى مستوى للتضخم في تركيا منذ ١٥ عاما.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: رئيس الوزراء الإثيوبي يلوح بأن مشروع سد النهضة قد لا يظهر قريبا and sentence 2: رئيس الوزراء الإثيوبي يعلن ظهور مشروع سد النهضة قريبا.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: رئيس الوزراء الإثيوبي يلوح بأن مشروع سد النهضة قد لا يظهر قريبا and sentence 2: رئيس الوزراء الإثيوبي يعلن ظهور مشروع سد النهضة قريبا.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: فرض حظر التجول من جديد بعد مقتل متظاهر في احتجاجات البصرة and sentence 2: إلغاء حظر التجول في البصرة.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: فرض حظر التجول من جديد بعد مقتل متظاهر في احتجاجات البصرة and sentence 2: إلغاء حظر التجول في البصرة.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: منظمة حقوقية تعلن ان ليبيا غير جاهزة لإجراء انتخابات حرة ونزيهة and sentence 2: منظمة حقوقية تدعو لإجراء انتخابات في ليبيا.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: منظمة حقوقية تعلن ان ليبيا غير جاهزة لإجراء انتخابات حرة ونزيهة and sentence 2: منظمة حقوقية تدعو لإجراء انتخابات في ليبيا.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: حادث قطار بشع في البحيرة بمصر نتج عنه مقتل وإصابة العشرات and sentence 2: حادث قطار في القاهرة بمصر نتج عنه إصابة ومقتل العديد.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: حادث قطار بشع في البحيرة بمصر نتج عنه مقتل وإصابة العشرات and sentence 2: حادث قطار في القاهرة بمصر نتج عنه إصابة ومقتل العديد.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: الرئيس التونسي يدعو إلى المساواة في الميراث بين الرجل والمرأة and sentence 2: عباس يدعو إلى مؤتمر دولي للسلام في الشرق الأوسط منتصف هذا العام.
Let's think step by step:
|||
other | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: الرئيس التونسي يدعو إلى المساواة في الميراث بين الرجل والمرأة and sentence 2: عباس يدعو إلى مؤتمر دولي للسلام في الشرق الأوسط منتصف هذا العام.
Let's think step by step: | other | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: أردوغان يرد على ترامب بفرض عقوبات على وزيرين أمريكيين and sentence 2: أردوغان يرفض معاقبة وزيرين أمريكيين بعد تصريحات ترامب.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: أردوغان يرد على ترامب بفرض عقوبات على وزيرين أمريكيين and sentence 2: أردوغان يرفض معاقبة وزيرين أمريكيين بعد تصريحات ترامب.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: منظمة حقوقية: ليبيا غير جاهزة لانتخابات حرة ونزيهة and sentence 2: منظمة حقوقية تدعو لإجراء انتخابات في ليبيا.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: منظمة حقوقية: ليبيا غير جاهزة لانتخابات حرة ونزيهة and sentence 2: منظمة حقوقية تدعو لإجراء انتخابات في ليبيا.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: إسرائيل تشدد إجراءات حظر التدخين في الأماكن العامة and sentence 2: السماح بالتدخين في الأماكن العامة فى إسرائيل.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: إسرائيل تشدد إجراءات حظر التدخين في الأماكن العامة and sentence 2: السماح بالتدخين في الأماكن العامة فى إسرائيل.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: خطة صينية لغزو سوق السيارات الكهربائية and sentence 2: خطة يابانية لغزو سوق السيارات الكهربائية.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: خطة صينية لغزو سوق السيارات الكهربائية and sentence 2: خطة يابانية لغزو سوق السيارات الكهربائية.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: رحيل ميني مي عن عمر لم يتجاوز 49 عاما and sentence 2: وفاة ميني مي عن عمر يناهز 80 عام.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: رحيل ميني مي عن عمر لم يتجاوز 49 عاما and sentence 2: وفاة ميني مي عن عمر يناهز 80 عام.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: النفط يهبط مع تزايد الإمدادات والتوترات التجارية and sentence 2: الإمدادات والتوترات تؤديان لانخفاض أسعار النفط.
Let's think step by step:
|||
agree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: النفط يهبط مع تزايد الإمدادات والتوترات التجارية and sentence 2: الإمدادات والتوترات تؤديان لانخفاض أسعار النفط.
Let's think step by step: | agree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: مكاسب الجيش تنعش الليرة السورية and sentence 2: الليرة السورية ترتفع مع تقدم الجيش السوري.
Let's think step by step:
|||
agree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: مكاسب الجيش تنعش الليرة السورية and sentence 2: الليرة السورية ترتفع مع تقدم الجيش السوري.
Let's think step by step: | agree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: انتخاب أول امرأة لتولي منصب شيخ مدينة تونس and sentence 2: امرأة فى تونس تفشل فى الحصول على منصب شيخ مدينة.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: انتخاب أول امرأة لتولي منصب شيخ مدينة تونس and sentence 2: امرأة فى تونس تفشل فى الحصول على منصب شيخ مدينة.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: بت كوين تواصل الهبوط بشكل متسارع and sentence 2: ارتفاع مفاجئ في أسعار البتكوين.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: بت كوين تواصل الهبوط بشكل متسارع and sentence 2: ارتفاع مفاجئ في أسعار البتكوين.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: أربعة طائرات تورنادو تقصف مخزن أسلحة كيماوية في سوريا and sentence 2: قصف على مخزن أسلحة كيماوية في سوريا.
Let's think step by step:
|||
agree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: أربعة طائرات تورنادو تقصف مخزن أسلحة كيماوية في سوريا and sentence 2: قصف على مخزن أسلحة كيماوية في سوريا.
Let's think step by step: | agree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: معركة الحديدة.. المبعوث الأممي يجري مباحثات في صنعاء مع استمرار القتال and sentence 2: المبعوث الأممي يتجاهل الوضع الراهن.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: معركة الحديدة.. المبعوث الأممي يجري مباحثات في صنعاء مع استمرار القتال and sentence 2: المبعوث الأممي يتجاهل الوضع الراهن.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: عشيرة الغفران تقدم شكوى ضد قطر فى مجلس حقوق الإنسان and sentence 2: حل أزمة عشيرة الغفران مع قطر.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: عشيرة الغفران تقدم شكوى ضد قطر فى مجلس حقوق الإنسان and sentence 2: حل أزمة عشيرة الغفران مع قطر.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: بريطانيا تخرج من الاتحاد الجمركي الأوروبي and sentence 2: جونسون يدعو ب بريطانيا للبقاء في الاتحاد الجمركي الأوروبي.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: بريطانيا تخرج من الاتحاد الجمركي الأوروبي and sentence 2: جونسون يدعو ب بريطانيا للبقاء في الاتحاد الجمركي الأوروبي.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: فلسطينيون: خرجنا إلى التظاهرات من أجل العودة and sentence 2: هدوء الأوضاع فى فلسطين.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: فلسطينيون: خرجنا إلى التظاهرات من أجل العودة and sentence 2: هدوء الأوضاع فى فلسطين.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: أفضل فيلم جماهيري: جائزة جديدة تضيفها أوسكار and sentence 2: أفضل فيلم سياسي: جائزة جديدة تضيفها أوسكار.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: أفضل فيلم جماهيري: جائزة جديدة تضيفها أوسكار and sentence 2: أفضل فيلم سياسي: جائزة جديدة تضيفها أوسكار.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: السعودية تعتقل وتمنع من السفر المزيد من ناشطات حقوق الإنسان and sentence 2: السعودية بدون أي اعتقالات.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: السعودية تعتقل وتمنع من السفر المزيد من ناشطات حقوق الإنسان and sentence 2: السعودية بدون أي اعتقالات.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: محاكمة مواطن فرنسي في القدس بتهمة تهريب أسلحة من غزة and sentence 2: فرنسي يفلت من المحاكمة في القدس.
Let's think step by step:
|||
disagree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: محاكمة مواطن فرنسي في القدس بتهمة تهريب أسلحة من غزة and sentence 2: فرنسي يفلت من المحاكمة في القدس.
Let's think step by step: | disagree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: انفجار في مصنع للكيماويات قرب مطار القاهرة بالعاصمة المصرية and sentence 2: انفجار قوى فى مصنوع للمواد الكيماوية بالقرب من مطار القاهرة.
Let's think step by step:
|||
agree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: انفجار في مصنع للكيماويات قرب مطار القاهرة بالعاصمة المصرية and sentence 2: انفجار قوى فى مصنوع للمواد الكيماوية بالقرب من مطار القاهرة.
Let's think step by step: | agree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |
[
"Zero-shot COT"
] | arbml/ANS_stance | default | [
"disagree",
"agree",
"other"
] | ltr | b | train | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: التضخم يتراجع في الجزائر and sentence 2: تراجع التضخم النصف سنوي في الجزائر.
Let's think step by step:
|||
agree | For the following task you have to label if the two sentences are of on of the following labels: disagree or agree or other. Sentence 1: التضخم يتراجع في الجزائر and sentence 2: تراجع التضخم النصف سنوي في الجزائر.
Let's think step by step: | agree | For the following task you have to label if the two sentences are of on of the following labels: {% for choice in answer_choices %}{{ choice }}{% if not loop.last %} or {% endif %}{% endfor %}. Sentence 1: {{s1}} and sentence 2: {{s2}}.
Let's think step by step:
|||
{{answer_choices[label]}} | 14,898 | Prompt with zero-shot chain of thoughts | [
"claim verification"
] |