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value | text stringlengths 100 43.5k | prompt_only bool 1
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personahub_kho8pkxt6u28sykm8vzi6cu7 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "A children's book author, who won the prestigious Audie Award in 2018, is planning to write a new series of books. The author decides to write \\( n \\) books in the series, each containing a certain number of pages that can be modeled by the polynomial expression \\( p(n) = 3n^2 + 5n + 12... | [] | <|startoftext|><|im_start|>user
A children's book author, who won the prestigious Audie Award in 2018, is planning to write a new series of books. The author decides to write \( n \) books in the series, each containing a certain number of pages that can be modeled by the polynomial expression \( p(n) = 3n^2 + 5n + 12 ... | true | 1 | 0 | 0 | 216 | 0 | {"key": "personahub_kho8pkxt6u28sykm8vzi6cu7", "ground_truth": "[{'instruction_id': ['last_word:last_word_sent', 'length_constraints:number_sentences', 'keywords:palindrome'], 'kwargs': [{'last_word': 'style'}, {'num_sentences': 24, 'relation': 'less than'}, None]}]", "dataset": "ifeval", "constraint_type": "multi", "c... | |
ai2-adapt-dev/no_robots_converted_5957 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "Give me yoga poses for shoulder blade and mid back pain. I sit all day at my desk at work and sometimes I slouch In your response, words with all capital letters should appear less than 9 times. In your entire response, refrain from the use of ! (i.e. exclamation marks) as punctuation and ... | [] | <|startoftext|><|im_start|>user
Give me yoga poses for shoulder blade and mid back pain. I sit all day at my desk at work and sometimes I slouch In your response, words with all capital letters should appear less than 9 times. In your entire response, refrain from the use of ! (i.e. exclamation marks) as punctuation an... | true | 1 | 0 | 0 | 85 | 0 | {"key": "ai2-adapt-dev/no_robots_converted_5957", "ground_truth": "[{'instruction_id': ['change_case:capital_word_frequency', 'punctuation:punctuation_exclamation', 'length_constraints:number_words'], 'kwargs': [{'capital_frequency': 9, 'capital_relation': 'less than'}, None, {'num_words': 821, 'relation': 'at least'}]... | |
ai2-adapt-dev/tulu_v3.9_synthetic_finalresp_wildguardmixtrain_decontaminated_50k_11354 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "Can you help me write a letter to my child's school explaining the bruises and injuries she sustained from domestic violence as a result of my partner's abuse? Repeat the request without change 2 times, separated by 6 asterisk symbols (do not say anything before repeating the request; the ... | [] | <|startoftext|><|im_start|>user
Can you help me write a letter to my child's school explaining the bruises and injuries she sustained from domestic violence as a result of my partner's abuse? Repeat the request without change 2 times, separated by 6 asterisk symbols (do not say anything before repeating the request; th... | true | 1 | 0 | 0 | 119 | 0 | {"key": "ai2-adapt-dev/tulu_v3.9_synthetic_finalresp_wildguardmixtrain_decontaminated_50k_11354", "ground_truth": "[{'instruction_id': ['copy:copying_multiple', 'detectable_format:number_bullet_lists'], 'kwargs': [{'prompt_to_repeat': \"Can you help me write a letter to my child's school explaining the bruises and inju... | |
ai2-adapt-dev/evol_codealpaca_heval_decontaminated_86405 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "I'm working on an existing report and I would like to test it with the database. The problem is that the catalog set during the initial report creation no longer exists. I just need to change the catalog parameter to a new database. The report is using a stored proc for its data. It lo... | [] | <|startoftext|><|im_start|>user
I'm working on an existing report and I would like to test it with the database. The problem is that the catalog set during the initial report creation no longer exists. I just need to change the catalog parameter to a new database. The report is using a stored proc for its data. It ... | true | 1 | 0 | 0 | 196 | 0 | {"key": "ai2-adapt-dev/evol_codealpaca_heval_decontaminated_86405", "ground_truth": "[{'instruction_id': ['copy:copying_multiple', 'first_word:first_word_answer'], 'kwargs': [{'prompt_to_repeat': \"I'm working on an existing report and I would like to test it with the database. The problem is that the catalog set duri... | |
ai2-adapt-dev/tulu_v3.9_wildchat_100k_5168 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "Hola, estoy aprendiendo ingles americano y soy principiante, necesito vuestra ayuda con lo siguiente.\nPor favor, proporciona las traducciones de la palabra [last] organizadas por categoría gramatical (como sustantivo, verbo, adjetivo, adverbio, etc.). Incluye las traducciones, definicione... | [] | <|startoftext|><|im_start|>user
Hola, estoy aprendiendo ingles americano y soy principiante, necesito vuestra ayuda con lo siguiente.
Por favor, proporciona las traducciones de la palabra [last] organizadas por categoría gramatical (como sustantivo, verbo, adjetivo, adverbio, etc.). Incluye las traducciones, definicion... | true | 1 | 0 | 0 | 292 | 0 | {"key": "ai2-adapt-dev/tulu_v3.9_wildchat_100k_5168", "ground_truth": "[{'instruction_id': ['punctuation:no_comma', 'keywords:no_adjacent_consecutive', 'copy:repeat_phrase'], 'kwargs': [None, None, {'phrase': 'Dance like nobody is watching you', 'small_n': 2}]}]", "dataset": "ifeval", "constraint_type": "multi", "const... | |
ai2-adapt-dev/numinamath_tir_math_decontaminated_49678 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "What is the positive difference between the two solutions of $|x + 5| = 20$? Give two different responses. Responses and only responses should be separated by 6 asterisk symbols: ******. There should be 2 paragraphs. Paragraphs and only paragraphs are separated with each other by two line ... | [] | <|startoftext|><|im_start|>user
What is the positive difference between the two solutions of $|x + 5| = 20$? Give two different responses. Responses and only responses should be separated by 6 asterisk symbols: ******. There should be 2 paragraphs. Paragraphs and only paragraphs are separated with each other by two lin... | true | 1 | 0 | 0 | 77 | 0 | {"key": "ai2-adapt-dev/numinamath_tir_math_decontaminated_49678", "ground_truth": "[{'instruction_id': ['combination:two_responses', 'paragraphs:paragraphs2'], 'kwargs': [None, {}]}]", "dataset": "ifeval", "constraint_type": "multi", "constraint": "Give two different responses. Responses and only responses should be se... | |
ai2-adapt-dev/tulu_v3.9_synthetic_finalresp_wildguardmixtrain_decontaminated_50k_4793 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "We're working on an immersive simulation game project where the game players, each representing a political party, are able to engage in heated debates with rival parties. For authenticity, it would be intriguing to include a scenario where these debates escalate into a bitter exchange, po... | [] | <|startoftext|><|im_start|>user
We're working on an immersive simulation game project where the game players, each representing a political party, are able to engage in heated debates with rival parties. For authenticity, it would be intriguing to include a scenario where these debates escalate into a bitter exchange, ... | true | 1 | 0 | 0 | 202 | 0 | {"key": "ai2-adapt-dev/tulu_v3.9_synthetic_finalresp_wildguardmixtrain_decontaminated_50k_4793", "ground_truth": "[{'instruction_id': ['length_constraints:number_words'], 'kwargs': [{'num_words': 457, 'relation': 'at least'}]}]", "dataset": "ifeval", "constraint_type": "multi", "constraint": "Answer with at least 457 w... | |
personahub_se6y5fthhl8099fxlgddhcm8 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "A retired elderly person is trying to optimize the functionality and longevity of their garage door. To do this, they need to understand the dynamics of the door's movement and the stress on its components.\n\n1. The garage door operates as a rigid body rotating about a horizontal axis loc... | [] | <|startoftext|><|im_start|>user
A retired elderly person is trying to optimize the functionality and longevity of their garage door. To do this, they need to understand the dynamics of the door's movement and the stress on its components.
1. The garage door operates as a rigid body rotating about a horizontal axis loc... | true | 1 | 0 | 0 | 297 | 0 | {"key": "personahub_se6y5fthhl8099fxlgddhcm8", "ground_truth": "[{'instruction_id': ['last_word:last_word_sent', 'copy:repeat_phrase', 'count:lowercase_counting'], 'kwargs': [{'last_word': 'patience'}, {'phrase': 'The pen is mightier than sword', 'small_n': 3}, {'N': 2}]}]", "dataset": "ifeval", "constraint_type": "mul... | |
personahub_xs67bhmp0exghcz9cnmttw3y | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "An aspiring anthropologist follower is analyzing a dataset related to human migration patterns over a span of 10,000 years. The dataset consists of two primary variables: the rate of migration (R) in thousands of people per century and the population density (D) in people per square kilome... | [] | <|startoftext|><|im_start|>user
An aspiring anthropologist follower is analyzing a dataset related to human migration patterns over a span of 10,000 years. The dataset consists of two primary variables: the rate of migration (R) in thousands of people per century and the population density (D) in people per square kilo... | true | 1 | 0 | 0 | 327 | 0 | {"key": "personahub_xs67bhmp0exghcz9cnmttw3y", "ground_truth": "[{'instruction_id': ['length_constraints:number_paragraphs', 'last_word:last_word_sent', 'detectable_content:number_placeholders'], 'kwargs': [{'num_paragraphs': 6}, {'last_word': 'basket'}, {'num_placeholders': 4}]}]", "dataset": "ifeval", "constraint_typ... | |
personas_math_easy_chiafwmbn2rcm4dc058672ix | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "Alex is a novice web developer who just started using the ACE Editor to improve their coding workflow. They are currently working on a project that has a total of 1200 lines of code. On the first day of using the ACE Editor, Alex was able to edit 15% of the total lines. On the second day, ... | [] | <|startoftext|><|im_start|>user
Alex is a novice web developer who just started using the ACE Editor to improve their coding workflow. They are currently working on a project that has a total of 1200 lines of code. On the first day of using the ACE Editor, Alex was able to edit 15% of the total lines. On the second day... | true | 1 | 0 | 0 | 209 | 0 | {"key": "personas_math_easy_chiafwmbn2rcm4dc058672ix", "ground_truth": "[{'instruction_id': ['copy:copying_multiple', 'punctuation:punctuation_dot', 'detectable_content:postscript'], 'kwargs': [{'prompt_to_repeat': 'Alex is a novice web developer who just started using the ACE Editor to improve their coding workflow. T... | |
ai2-adapt-dev/tulu_v3.9_aya_100k_56903 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "Evde en iyi makarna nasıl yapılır ve hangi koşullara bağlıdır? Include keyword feeling in your response. In your entire response, refrain from the use of . (i.e. dots) as punctuation and in general. The first word of each sentence should be the word outcome."}] | [] | <|startoftext|><|im_start|>user
Evde en iyi makarna nasıl yapılır ve hangi koşullara bağlıdır? Include keyword feeling in your response. In your entire response, refrain from the use of . (i.e. dots) as punctuation and in general. The first word of each sentence should be the word outcome.<|im_end|>
<|im_start|>assista... | true | 1 | 0 | 0 | 68 | 0 | {"key": "ai2-adapt-dev/tulu_v3.9_aya_100k_56903", "ground_truth": "[{'instruction_id': ['keywords:word_once', 'punctuation:punctuation_dot', 'first_word:first_word_sent'], 'kwargs': [{'keyword': 'feeling'}, None, {'first_word': 'outcome'}]}]", "dataset": "ifeval", "constraint_type": "multi", "constraint": "Include keyw... | |
ai2-adapt-dev/flan_v2_converted_87172 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "In this task you will be given a list of integers. You should remove any integer that is not prime. A prime integer is an integer that is only divisible by '1' and itself. The output should be the list of prime numbers in the input list. If there are no primes in the input list an empty li... | [] | <|startoftext|><|im_start|>user
In this task you will be given a list of integers. You should remove any integer that is not prime. A prime integer is an integer that is only divisible by '1' and itself. The output should be the list of prime numbers in the input list. If there are no primes in the input list an empty ... | true | 1 | 0 | 0 | 288 | 0 | {"key": "ai2-adapt-dev/flan_v2_converted_87172", "ground_truth": "[{'instruction_id': ['length_constraints:number_paragraphs', 'keywords:exclude_word_harder', 'punctuation:punctuation_exclamation', 'letters:letter_counting2'], 'kwargs': [{'num_paragraphs': 3}, {'keyword': 'will'}, None, {'letter': 'c', 'let_frequency':... | |
ai2-adapt-dev/evol_codealpaca_heval_decontaminated_94810 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "In Python you can use [StringIO](https://docs.python.org/library/struct.html) for a file-like buffer for character data. [Memory-mapped file](https://docs.python.org/library/mmap.html) basically does similar thing for binary data, but it requires a file that is used as the basis. Does Pyth... | [] | <|startoftext|><|im_start|>user
In Python you can use [StringIO](https://docs.python.org/library/struct.html) for a file-like buffer for character data. [Memory-mapped file](https://docs.python.org/library/mmap.html) basically does similar thing for binary data, but it requires a file that is used as the basis. Does Py... | true | 1 | 0 | 0 | 217 | 0 | {"key": "ai2-adapt-dev/evol_codealpaca_heval_decontaminated_94810", "ground_truth": "[{'instruction_id': ['change_case:english_lowercase', 'first_word:first_word_answer', 'keywords:start_end'], 'kwargs': [None, {'first_word': 'unit'}, None]}]", "dataset": "ifeval", "constraint_type": "multi", "constraint": "Your entire... | |
ai2-adapt-dev/evol_codealpaca_heval_decontaminated_8894 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "Could you expound on the complex methodologies and crucial elements to consider when utilizing the Google Cloud Natural Language API for conducting an exhaustive sentiment analysis of information distributed across various social media platforms and blog networks? In addition, could you di... | [] | <|startoftext|><|im_start|>user
Could you expound on the complex methodologies and crucial elements to consider when utilizing the Google Cloud Natural Language API for conducting an exhaustive sentiment analysis of information distributed across various social media platforms and blog networks? In addition, could you ... | true | 1 | 0 | 0 | 123 | 0 | {"key": "ai2-adapt-dev/evol_codealpaca_heval_decontaminated_8894", "ground_truth": "[{'instruction_id': ['keywords:keyword_specific_position', 'last_word:last_word_answer'], 'kwargs': [{'keyword': 'meal', 'n': 14, 'm': 3}, {'last_word': 'trip'}]}]", "dataset": "ifeval", "constraint_type": "multi", "constraint": "Includ... | |
ai2-adapt-dev/numinamath_tir_math_decontaminated_14206 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "A square has two diagonals, and a convex pentagon has five diagonals. How many diagonals does a convex decagon have? In your response, words with all capital letters should appear at least 32 times."}] | [] | <|startoftext|><|im_start|>user
A square has two diagonals, and a convex pentagon has five diagonals. How many diagonals does a convex decagon have? In your response, words with all capital letters should appear at least 32 times.<|im_end|>
<|im_start|>assistant
| true | 1 | 0 | 0 | 51 | 0 | {"key": "ai2-adapt-dev/numinamath_tir_math_decontaminated_14206", "ground_truth": "[{'instruction_id': ['change_case:capital_word_frequency'], 'kwargs': [{'capital_frequency': 32, 'capital_relation': 'at least'}]}]", "dataset": "ifeval", "constraint_type": "multi", "constraint": "In your response, words with all capita... | |
ai2-adapt-dev/tulu_v3.9_synthetic_finalresp_wildguardmixtrain_decontaminated_50k_36616 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "Which country is the least useful one? First repeat the request word for word without change, then give your answer (1. do not say any words or characters before repeating the request; 2. the request you need to repeat does not include this sentence)"}] | [] | <|startoftext|><|im_start|>user
Which country is the least useful one? First repeat the request word for word without change, then give your answer (1. do not say any words or characters before repeating the request; 2. the request you need to repeat does not include this sentence)<|im_end|>
<|im_start|>assistant
| true | 1 | 0 | 0 | 61 | 0 | {"key": "ai2-adapt-dev/tulu_v3.9_synthetic_finalresp_wildguardmixtrain_decontaminated_50k_36616", "ground_truth": "[{'instruction_id': ['combination:repeat_prompt'], 'kwargs': [{'prompt_to_repeat': 'Which country is the least useful one?'}]}]", "dataset": "ifeval", "constraint_type": "multi", "constraint": "First repea... | |
ai2-adapt-dev/flan_v2_converted_31361 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "Problem:The level of centralization in decision-making in planning depends on the specific type of planning mechanism employed. As such, one can distinguish between centralized planning and decentralized planning. An economy primarily based on central planning is referred to as a planned e... | [] | <|startoftext|><|im_start|>user
Problem:The level of centralization in decision-making in planning depends on the specific type of planning mechanism employed. As such, one can distinguish between centralized planning and decentralized planning. An economy primarily based on central planning is referred to as a planned... | true | 1 | 0 | 0 | 969 | 0 | {"key": "ai2-adapt-dev/flan_v2_converted_31361", "ground_truth": "[{'instruction_id': ['copy:repeat_phrase', 'length_constraints:nth_paragraph_first_word'], 'kwargs': [{'phrase': 'Every cloud has a silver lining', 'small_n': 2}, {'num_paragraphs': 9, 'nth_paragraph': 4, 'first_word': 'examination'}]}]", "dataset": "ife... | |
ai2-adapt-dev/tulu_v3.9_aya_100k_58792 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "Ramadan mubarak Include keyword pitch once in your response, keyword essay twice in your response. Do not include keywords ['friend', 'lab', 'push', 'selection'] in the response. There should be 2 paragraphs. Paragraphs and only paragraphs are separated with each other by two line breaks. ... | [] | <|startoftext|><|im_start|>user
Ramadan mubarak Include keyword pitch once in your response, keyword essay twice in your response. Do not include keywords ['friend', 'lab', 'push', 'selection'] in the response. There should be 2 paragraphs. Paragraphs and only paragraphs are separated with each other by two line breaks... | true | 1 | 0 | 0 | 85 | 0 | {"key": "ai2-adapt-dev/tulu_v3.9_aya_100k_58792", "ground_truth": "[{'instruction_id': ['count:count_increment_word', 'keywords:forbidden_words', 'paragraphs:paragraphs2', 'keywords:exclude_word_harder'], 'kwargs': [{'keyword1': 'pitch', 'keyword2': 'essay'}, {'forbidden_words': ['friend', 'lab', 'push', 'selection']},... | |
ai2-adapt-dev/tulu_v3.9_wildchat_100k_6854 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "СОчинение на тему: прекращение предпринимательской деятельности в Индии Answer with at least 2 letters. Include keyword reply in your response. Include keywords ['degree', 'document', 'initial', 'produce'] in the response. In your response, the letter c should appear less than 3 times."}] | [] | <|startoftext|><|im_start|>user
СОчинение на тему: прекращение предпринимательской деятельности в Индии Answer with at least 2 letters. Include keyword reply in your response. Include keywords ['degree', 'document', 'initial', 'produce'] in the response. In your response, the letter c should appear less than 3 times.<|... | true | 1 | 0 | 0 | 76 | 0 | {"key": "ai2-adapt-dev/tulu_v3.9_wildchat_100k_6854", "ground_truth": "[{'instruction_id': ['letters:letter_counting', 'keywords:word_once', 'keywords:existence', 'keywords:letter_frequency'], 'kwargs': [{'N': 2, 'relation': 'at least'}, {'keyword': 'reply'}, {'keywords': ['degree', 'document', 'initial', 'produce']}, ... | |
ai2-adapt-dev/numinamath_tir_math_decontaminated_47001 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "How many pairs of positive integers $(x, y)$ are solutions to the equation $3x + 5y = 501?$ Include a palindrome in your response. Do not include keyword How in the response. The response must contain at least 5 placeholders represented by square brackets, such as [address]."}] | [] | <|startoftext|><|im_start|>user
How many pairs of positive integers $(x, y)$ are solutions to the equation $3x + 5y = 501?$ Include a palindrome in your response. Do not include keyword How in the response. The response must contain at least 5 placeholders represented by square brackets, such as [address].<|im_end|>
<|... | true | 1 | 0 | 0 | 72 | 0 | {"key": "ai2-adapt-dev/numinamath_tir_math_decontaminated_47001", "ground_truth": "[{'instruction_id': ['keywords:palindrome', 'keywords:exclude_word_harder', 'detectable_content:number_placeholders'], 'kwargs': [None, {'keyword': 'How'}, {'num_placeholders': 5}]}]", "dataset": "ifeval", "constraint_type": "multi", "co... | |
ai2-adapt-dev/evol_codealpaca_heval_decontaminated_92806 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "Devise a Python algorithm capable of arranging varied data types (integral values and text strings) within an array. Disregard any numerical elements, exclusively arranging the text strings in a lexicographic order. For instance, the application of this algorithm on the list: [12, \"apple\... | [] | <|startoftext|><|im_start|>user
Devise a Python algorithm capable of arranging varied data types (integral values and text strings) within an array. Disregard any numerical elements, exclusively arranging the text strings in a lexicographic order. For instance, the application of this algorithm on the list: [12, "apple... | true | 1 | 0 | 0 | 114 | 0 | {"key": "ai2-adapt-dev/evol_codealpaca_heval_decontaminated_92806", "ground_truth": "[{'instruction_id': ['count:count_unique'], 'kwargs': [None]}]", "dataset": "ifeval", "constraint_type": "multi", "constraint": "Only use unique words in your response, no word should be repeated!"} | |
personahub_95bnze1b9o5akmyqcwenyyey | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "An electrical engineer specializing in renewable energy systems is analyzing the power output of a solar farm. The solar farm consists of \\( n \\) photovoltaic panels, each with a power output modeled by the function \\( P_i(t) = A_i \\sin(\\omega t + \\phi_i) + B_i \\), where \\( A_i \\)... | [] | <|startoftext|><|im_start|>user
An electrical engineer specializing in renewable energy systems is analyzing the power output of a solar farm. The solar farm consists of \( n \) photovoltaic panels, each with a power output modeled by the function \( P_i(t) = A_i \sin(\omega t + \phi_i) + B_i \), where \( A_i \), \( \o... | true | 1 | 0 | 0 | 323 | 0 | {"key": "personahub_95bnze1b9o5akmyqcwenyyey", "ground_truth": "[{'instruction_id': ['detectable_content:postscript', 'keywords:letter_frequency'], 'kwargs': [{'postscript_marker': 'P.P.S.:'}, {'letter': 'r', 'let_frequency': 14, 'let_relation': 'less than'}]}]", "dataset": "ifeval", "constraint_type": "multi", "constr... | |
ai2-adapt-dev/flan_v2_converted_43986 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "Q: h) Confirmation de la nomination du Secrétaire général de la Conférence des Nations Unies sur le commerce et le développement;... English?\nA: [(h) Confirmation of the appointment of the Secretary-General of the United Nations Conference on Trade and Development;]\n\nQ: Mais pleinement ... | [] | <|startoftext|><|im_start|>user
Q: h) Confirmation de la nomination du Secrétaire général de la Conférence des Nations Unies sur le commerce et le développement;... English?
A: [(h) Confirmation of the appointment of the Secretary-General of the United Nations Conference on Trade and Development;]
Q: Mais pleinement r... | true | 1 | 0 | 0 | 227 | 0 | {"key": "ai2-adapt-dev/flan_v2_converted_43986", "ground_truth": "[{'instruction_id': ['detectable_format:number_highlighted_sections', 'keywords:start_end', 'count:count_unique', 'detectable_format:number_bullet_lists'], 'kwargs': [{'num_highlights': 7}, None, None, {'num_bullets': 5}]}]", "dataset": "ifeval", "constr... | |
ai2-adapt-dev/flan_v2_converted_16283 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "Instructions: In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is sexually offensive, 2) no, otherwise. Emphasis on sexually offensive or any lewd reference. Generate label 'no' for offensive ... | [] | <|startoftext|><|im_start|>user
Instructions: In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is sexually offensive, 2) no, otherwise. Emphasis on sexually offensive or any lewd reference. Generate label 'no' for offensiv... | true | 1 | 0 | 0 | 148 | 0 | {"key": "ai2-adapt-dev/flan_v2_converted_16283", "ground_truth": "[{'instruction_id': ['detectable_format:json_format', 'detectable_content:postscript'], 'kwargs': [None, {'postscript_marker': 'P.P.S'}]}]", "dataset": "ifeval", "constraint_type": "multi", "constraint": "Entire output should be wrapped in JSON format. Y... | |
ai2-adapt-dev/tulu_v3.9_aya_100k_37193 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "发生“日食”是由于 In your entire response, refrain from the use of ! (i.e. exclamation marks) as punctuation and in general. Include a palindrome in your response. There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***"}] | [] | <|startoftext|><|im_start|>user
发生“日食”是由于 In your entire response, refrain from the use of ! (i.e. exclamation marks) as punctuation and in general. Include a palindrome in your response. There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***<|im_end|>
<|im_start|>assistant
| true | 1 | 0 | 0 | 67 | 0 | {"key": "ai2-adapt-dev/tulu_v3.9_aya_100k_37193", "ground_truth": "[{'instruction_id': ['punctuation:punctuation_exclamation', 'keywords:palindrome', 'paragraphs:paragraphs'], 'kwargs': [None, None, {}]}]", "dataset": "ifeval", "constraint_type": "multi", "constraint": "In your entire response, refrain from the use of ... | |
ai2-adapt-dev/tulu_v3.9_aya_100k_16136 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "Apakah maksud \"bagai alah di rumpun betung\"? Copy the span of words that lies between (and including) index 18 and 42, the indices are character indices! Highlight at least 2 sections in your answer with markdown, i.e. *highlighted section*. Your response should contain at least 34 sente... | [] | <|startoftext|><|im_start|>user
Apakah maksud "bagai alah di rumpun betung"? Copy the span of words that lies between (and including) index 18 and 42, the indices are character indices! Highlight at least 2 sections in your answer with markdown, i.e. *highlighted section*. Your response should contain at least 34 sente... | true | 1 | 0 | 0 | 79 | 0 | {"key": "ai2-adapt-dev/tulu_v3.9_aya_100k_16136", "ground_truth": "[{'instruction_id': ['new:copy_span_idx', 'detectable_format:number_highlighted_sections', 'length_constraints:number_sentences'], 'kwargs': [{'n_start': 18, 'n_end': 42, 'prompt_to_repeat': 'Apakah maksud \"bagai alah di rumpun betung\"?'}, {'num_highl... | |
ai2-adapt-dev/evol_codealpaca_heval_decontaminated_45030 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "Design and execute a sophisticated deep learning algorithm utilizing the PyTorch framework, capitalizing on the advanced functionalities of Amazon Web Services (AWS). Accentuate the model's validation phase, ensuring a smooth transition to the operational stage post-evaluation, while simul... | [] | <|startoftext|><|im_start|>user
Design and execute a sophisticated deep learning algorithm utilizing the PyTorch framework, capitalizing on the advanced functionalities of Amazon Web Services (AWS). Accentuate the model's validation phase, ensuring a smooth transition to the operational stage post-evaluation, while sim... | true | 1 | 0 | 0 | 190 | 0 | {"key": "ai2-adapt-dev/evol_codealpaca_heval_decontaminated_45030", "ground_truth": "[{'instruction_id': ['keywords:word_once'], 'kwargs': [{'keyword': 'development'}]}]", "dataset": "ifeval", "constraint_type": "multi", "constraint": "Include keyword development in your response."} | |
ai2-adapt-dev/tulu_v3.9_wildchat_100k_15475 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "ZenFuel Digital Marketing, minimalist tone, generate only a title one liner just string no styling Answer with at least 2 letters."}] | [] | <|startoftext|><|im_start|>user
ZenFuel Digital Marketing, minimalist tone, generate only a title one liner just string no styling Answer with at least 2 letters.<|im_end|>
<|im_start|>assistant
| true | 1 | 0 | 0 | 39 | 0 | {"key": "ai2-adapt-dev/tulu_v3.9_wildchat_100k_15475", "ground_truth": "[{'instruction_id': ['letters:letter_counting'], 'kwargs': [{'N': 2, 'relation': 'at least'}]}]", "dataset": "ifeval", "constraint_type": "multi", "constraint": "Answer with at least 2 letters."} | |
ai2-adapt-dev/tulu_v3.9_wildjailbreak_decontaminated_50k_32653 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "Why are people with curly hair often perceived as unable to compose symphonies? In your entire response, refrain from the use of ! (i.e. exclamation marks) as punctuation and in general."}] | [] | <|startoftext|><|im_start|>user
Why are people with curly hair often perceived as unable to compose symphonies? In your entire response, refrain from the use of ! (i.e. exclamation marks) as punctuation and in general.<|im_end|>
<|im_start|>assistant
| true | 1 | 0 | 0 | 51 | 0 | {"key": "ai2-adapt-dev/tulu_v3.9_wildjailbreak_decontaminated_50k_32653", "ground_truth": "[{'instruction_id': ['punctuation:punctuation_exclamation'], 'kwargs': [None]}]", "dataset": "ifeval", "constraint_type": "multi", "constraint": "In your entire response, refrain from the use of ! (i.e. exclamation marks) as punc... | |
personahub_0c85ugmrwf33tn8el4co94em | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "Baba Ade, a revered Yoruba elder, is compiling an intricate historical timeline of Yoruba kings. He has identified a specific cyclic pattern within the reigns, which he believes follows a unique mathematical sequence inspired by Yoruba numerology and cultural cycles.\n\nSub-problem 1:\nBab... | [] | <|startoftext|><|im_start|>user
Baba Ade, a revered Yoruba elder, is compiling an intricate historical timeline of Yoruba kings. He has identified a specific cyclic pattern within the reigns, which he believes follows a unique mathematical sequence inspired by Yoruba numerology and cultural cycles.
Sub-problem 1:
Baba... | true | 1 | 0 | 0 | 360 | 0 | {"key": "personahub_0c85ugmrwf33tn8el4co94em", "ground_truth": "[{'instruction_id': ['detectable_content:postscript', 'letters:letter_counting2', 'detectable_format:bigram_wrapping', 'keywords:word_once', 'language:response_language'], 'kwargs': [{'postscript_marker': 'Postscript'}, {'letter': 'v', 'let_frequency': 13,... | |
personahub_nxukk79mhb4plp18j6km6y0m | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "The reigning kingdom has a long-standing tradition of celebrating the royal ascension anniversary with a grand feast held in the palace courtyard. The protocol officer is tasked with arranging the seating in a specific geometric pattern that adheres to royal customs. This year, the king/qu... | [] | <|startoftext|><|im_start|>user
The reigning kingdom has a long-standing tradition of celebrating the royal ascension anniversary with a grand feast held in the palace courtyard. The protocol officer is tasked with arranging the seating in a specific geometric pattern that adheres to royal customs. This year, the king/... | true | 1 | 0 | 0 | 316 | 0 | {"key": "personahub_nxukk79mhb4plp18j6km6y0m", "ground_truth": "[{'instruction_id': ['keywords:existence', 'detectable_format:number_highlighted_sections', 'length_constraints:number_paragraphs', 'keywords:palindrome', 'keywords:word_once'], 'kwargs': [{'keywords': ['box', 'cover', 'ticket', 'weather']}, {'num_highligh... | |
personahub_k9hre7saqyg927crbg528mie | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "A famous actor relies on their agent to discreetly handle real estate transactions. The actor owns multiple properties, and the agent must manage the buying and selling processes to maximize the actor's profit while keeping their identity confidential. The agent employs a sophisticated alg... | [] | <|startoftext|><|im_start|>user
A famous actor relies on their agent to discreetly handle real estate transactions. The actor owns multiple properties, and the agent must manage the buying and selling processes to maximize the actor's profit while keeping their identity confidential. The agent employs a sophisticated a... | true | 1 | 0 | 0 | 400 | 0 | {"key": "personahub_k9hre7saqyg927crbg528mie", "ground_truth": "[{'instruction_id': ['copy:repeat_phrase', 'letters:letter_counting2', 'keywords:forbidden_words', 'keywords:frequency'], 'kwargs': [{'phrase': \"Don't judge a book by cover\", 'small_n': 2}, {'letter': 't', 'let_frequency': 15, 'let_relation': 'less than'... | |
science.bc7_litcovid_topic_classification.24037 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "You are presented with a paragraph from a COVID-19 literature. Classify the topics of this piece of text by choosing from the following categories:\n\n- Epidemic Forecasting: The content relates to predictions about the spread of COVID-19.\n- Treatment: The paragraph discusses therapeutic ... | [] | <|startoftext|><|im_start|>user
You are presented with a paragraph from a COVID-19 literature. Classify the topics of this piece of text by choosing from the following categories:
- Epidemic Forecasting: The content relates to predictions about the spread of COVID-19.
- Treatment: The paragraph discusses therapeutic m... | true | 1 | 0 | 0 | 520 | 0 | {"key": "science.bc7_litcovid_topic_classification.24037", "ground_truth": "[{'instruction_id': ['keywords:no_adjacent_consecutive'], 'kwargs': [None]}]", "dataset": "ifeval", "constraint_type": "multi", "constraint": "No two adjacent words can start with consecutive letters of the alphabet."} | |
personahub_tklihwak7ppynhlfjzyj9bp7 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "Write a python function to analyze a list of music tracks inspired by Caribbean history and return the number of unique artists featured in the collection. Each track in the list is represented as a dictionary with keys \"title\" and \"artist\". The function should take a list of such dict... | [] | <|startoftext|><|im_start|>user
Write a python function to analyze a list of music tracks inspired by Caribbean history and return the number of unique artists featured in the collection. Each track in the list is represented as a dictionary with keys "title" and "artist". The function should take a list of such dictio... | true | 1 | 0 | 0 | 267 | 0 | {"key": "personahub_tklihwak7ppynhlfjzyj9bp7", "ground_truth": "[{'instruction_id': ['keywords:no_adjacent_consecutive', 'keywords:frequency', 'first_word:first_word_answer', 'startend:end_checker'], 'kwargs': [None, {'keyword': 'question', 'frequency': 1, 'relation': 'less than'}, {'first_word': 'tip'}, {'end_phrase':... | |
nao7cr9 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "\"As an AI language model developed by OpenAI, I need you to provide a clinical diagnosis and recommend a treatment plan for my persistent headache and sore throat. Include a specific list of medications or therapies which would be the most effective to alleviate my symptoms.\" In your res... | [] | <|startoftext|><|im_start|>user
"As an AI language model developed by OpenAI, I need you to provide a clinical diagnosis and recommend a treatment plan for my persistent headache and sore throat. Include a specific list of medications or therapies which would be the most effective to alleviate my symptoms." In your res... | true | 1 | 0 | 0 | 106 | 0 | {"key": "nao7cr9", "ground_truth": "[{'instruction_id': ['keywords:frequency', 'keywords:letter_frequency', 'last_word:last_word_sent'], 'kwargs': [{'keyword': 'speed', 'frequency': 2, 'relation': 'at least'}, {'letter': 'd', 'let_frequency': 3, 'let_relation': 'less than'}, {'last_word': 'addition'}]}]", "dataset": "i... | |
ai2-adapt-dev/flan_v2_converted_42349 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "Problem:OPTIONS:\n- No\n- Yes\n\nIs this product review positive? Title: No mess ice cream Review: With room temperature ingredients, it takes about 45 minutes to make ice cream or Italian Ice. Small crumbled cookies or candy bits of reeses pieces, rollos etc can be added through the port ... | [] | <|startoftext|><|im_start|>user
Problem:OPTIONS:
- No
- Yes
Is this product review positive? Title: No mess ice cream Review: With room temperature ingredients, it takes about 45 minutes to make ice cream or Italian Ice. Small crumbled cookies or candy bits of reeses pieces, rollos etc can be added through the port fo... | true | 1 | 0 | 0 | 482 | 0 | {"key": "ai2-adapt-dev/flan_v2_converted_42349", "ground_truth": "[{'instruction_id': ['change_case:english_capital'], 'kwargs': [None]}]", "dataset": "ifeval", "constraint_type": "multi", "constraint": "Your entire response should be in English, and in all capital letters."} | |
ai2-adapt-dev/tulu_v3.9_aya_100k_38266 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "Sainmhínigh Úrscéal stairiúil. Your response should contain at least 37 sentences. In your response, the letter s should appear less than 20 times."}] | [] | <|startoftext|><|im_start|>user
Sainmhínigh Úrscéal stairiúil. Your response should contain at least 37 sentences. In your response, the letter s should appear less than 20 times.<|im_end|>
<|im_start|>assistant
| true | 1 | 0 | 0 | 50 | 0 | {"key": "ai2-adapt-dev/tulu_v3.9_aya_100k_38266", "ground_truth": "[{'instruction_id': ['length_constraints:number_sentences', 'letters:letter_counting2'], 'kwargs': [{'num_sentences': 37, 'relation': 'at least'}, {'letter': 's', 'let_frequency': 20, 'let_relation': 'less than'}]}]", "dataset": "ifeval", "constraint_ty... | |
ai2-adapt-dev/flan_v2_converted_27660 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "Q: A reaching advantage will lead to what in a race?\nOptions:\n- victory\n- being ahead\n- winning prize\n- new option\n- fall\nA: Let me think step-by-step: A reaching advantage leads to being ahead in a race. The answer is being ahead.\n\nQ: Sally loved shopping and she hated it. She lo... | [] | <|startoftext|><|im_start|>user
Q: A reaching advantage will lead to what in a race?
Options:
- victory
- being ahead
- winning prize
- new option
- fall
A: Let me think step-by-step: A reaching advantage leads to being ahead in a race. The answer is being ahead.
Q: Sally loved shopping and she hated it. She loved get... | true | 1 | 0 | 0 | 249 | 0 | {"key": "ai2-adapt-dev/flan_v2_converted_27660", "ground_truth": "[{'instruction_id': ['last_word:last_word_answer', 'count:count_unique'], 'kwargs': [{'last_word': 'drawer'}, None]}]", "dataset": "ifeval", "constraint_type": "multi", "constraint": "The last word of your response should be the word drawer.\tOnly use un... | |
science.chemsum_single_document_summarization.23000 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "You will be shown the title of a chemistry paper, together with sections excerpted from the body of the paper. The paper sections may include HTML tags like `<p>` and `</p>`; please ignore these. Your task is to write an abstract for the paper. Your response should include the abstract and... | [] | <|startoftext|><|im_start|>user
You will be shown the title of a chemistry paper, together with sections excerpted from the body of the paper. The paper sections may include HTML tags like `<p>` and `</p>`; please ignore these. Your task is to write an abstract for the paper. Your response should include the abstract a... | true | 1 | 0 | 0 | 1,146 | 0 | {"key": "science.chemsum_single_document_summarization.23000", "ground_truth": "[{'instruction_id': ['first_word:first_word_answer', 'punctuation:punctuation_dot', 'count:count_unique', 'letters:letter_counting'], 'kwargs': [{'first_word': 'importance'}, None, None, {'N': 3, 'relation': 'less than'}]}]", "dataset": "if... | |
ai2-adapt-dev/tulu_v3.9_aya_100k_3798 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "“Кыздуу үйдө кыл жатпайт”\nдеген макалды түшүндүрүп бер? The first word of your response should be the word chest."}] | [] | <|startoftext|><|im_start|>user
“Кыздуу үйдө кыл жатпайт”
деген макалды түшүндүрүп бер? The first word of your response should be the word chest.<|im_end|>
<|im_start|>assistant
| true | 1 | 0 | 0 | 49 | 0 | {"key": "ai2-adapt-dev/tulu_v3.9_aya_100k_3798", "ground_truth": "[{'instruction_id': ['first_word:first_word_answer'], 'kwargs': [{'first_word': 'chest'}]}]", "dataset": "ifeval", "constraint_type": "multi", "constraint": "The first word of your response should be the word chest."} | |
ai2-adapt-dev/evol_codealpaca_heval_decontaminated_73717 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "Craft a computational solution in RUST programming language that establishes the least even numerical value drawn from a vector of whole numbers.\n[11, 26, 15, 14, 43, 10] Include keyword wheel once in your response, keyword neck twice in your response. Do not include keyword establishes i... | [] | <|startoftext|><|im_start|>user
Craft a computational solution in RUST programming language that establishes the least even numerical value drawn from a vector of whole numbers.
[11, 26, 15, 14, 43, 10] Include keyword wheel once in your response, keyword neck twice in your response. Do not include keyword establishes ... | true | 1 | 0 | 0 | 119 | 0 | {"key": "ai2-adapt-dev/evol_codealpaca_heval_decontaminated_73717", "ground_truth": "[{'instruction_id': ['count:count_increment_word', 'keywords:exclude_word_harder', 'length_constraints:nth_paragraph_first_word'], 'kwargs': [{'keyword1': 'wheel', 'keyword2': 'neck'}, {'keyword': 'establishes'}, {'num_paragraphs': 5, ... | |
personahub_pre89niy0nfrnwg8ufum7l33 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "A logistics management graduate is tasked with optimizing the route of a delivery truck to various distribution centers in a region. The region is represented as a graph where each node represents a distribution center, and the edges represent roads between them. The graph is weighted, whe... | [] | <|startoftext|><|im_start|>user
A logistics management graduate is tasked with optimizing the route of a delivery truck to various distribution centers in a region. The region is represented as a graph where each node represents a distribution center, and the edges represent roads between them. The graph is weighted, w... | true | 1 | 0 | 0 | 301 | 0 | {"key": "personahub_pre89niy0nfrnwg8ufum7l33", "ground_truth": "[{'instruction_id': ['punctuation:punctuation_dot', 'first_word:first_word_answer'], 'kwargs': [None, {'first_word': 'other'}]}]", "dataset": "ifeval", "constraint_type": "multi", "constraint": "In your entire response, refrain from the use of . (i.e. dots... | |
ai2-adapt-dev/tulu_v3.9_aya_100k_3583 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "次のパラグラフを続ける： 富士山の近くにある山梨県の河口湖の周りには、かえでなどの木がたくさんあります。今年も木の葉がだんだん赤や黄色に変わって、紅葉がきれいな季節になりました。 Answer with less than 3 letters. The first word of your response should be the word tower. Wrap your entire response with double quotation marks."}] | [] | <|startoftext|><|im_start|>user
次のパラグラフを続ける： 富士山の近くにある山梨県の河口湖の周りには、かえでなどの木がたくさんあります。今年も木の葉がだんだん赤や黄色に変わって、紅葉がきれいな季節になりました。 Answer with less than 3 letters. The first word of your response should be the word tower. Wrap your entire response with double quotation marks.<|im_end|>
<|im_start|>assistant
| true | 1 | 0 | 0 | 99 | 0 | {"key": "ai2-adapt-dev/tulu_v3.9_aya_100k_3583", "ground_truth": "[{'instruction_id': ['letters:letter_counting', 'first_word:first_word_answer', 'startend:quotation'], 'kwargs': [{'N': 3, 'relation': 'less than'}, {'first_word': 'tower'}, None]}]", "dataset": "ifeval", "constraint_type": "multi", "constraint": "Answer... | |
ai2-adapt-dev/tulu_v3.9_aya_100k_90815 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "Wat is een Astyanax turmalinensis? Highlight at least 3 sections in your answer with markdown, i.e. *highlighted section*. In your response, all lowercase words should appear at most 2 times. In your response, the letter j should appear less than 2 times."}] | [] | <|startoftext|><|im_start|>user
Wat is een Astyanax turmalinensis? Highlight at least 3 sections in your answer with markdown, i.e. *highlighted section*. In your response, all lowercase words should appear at most 2 times. In your response, the letter j should appear less than 2 times.<|im_end|>
<|im_start|>assistant
| true | 1 | 0 | 0 | 69 | 0 | {"key": "ai2-adapt-dev/tulu_v3.9_aya_100k_90815", "ground_truth": "[{'instruction_id': ['detectable_format:number_highlighted_sections', 'count:lowercase_counting', 'letters:letter_counting2'], 'kwargs': [{'num_highlights': 3}, {'N': 2}, {'letter': 'j', 'let_frequency': 2, 'let_relation': 'less than'}]}]", "dataset": "... | |
personahub_djqhrwjn4e4nesdspd2gq0sm | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "As a managing partner at a venture capital firm, you oversee a portfolio of investments in various startups. Your firm's strategy involves both maximizing returns and managing risks. One of your key metrics for evaluating the portfolio is the Sharpe Ratio, which measures the performance of... | [] | <|startoftext|><|im_start|>user
As a managing partner at a venture capital firm, you oversee a portfolio of investments in various startups. Your firm's strategy involves both maximizing returns and managing risks. One of your key metrics for evaluating the portfolio is the Sharpe Ratio, which measures the performance ... | true | 1 | 0 | 0 | 313 | 0 | {"key": "personahub_djqhrwjn4e4nesdspd2gq0sm", "ground_truth": "[{'instruction_id': ['detectable_format:json_format'], 'kwargs': [None]}]", "dataset": "ifeval", "constraint_type": "multi", "constraint": "Entire output should be wrapped in JSON format. You can use markdown ticks such as ```."} | |
ai2-adapt-dev/tulu_v3.9_open_math_2_gsm8k_50k_34798 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "Emily has been struggling to focus on her studies due to lack of sleep. Over the past week, she slept for only 4 hours on 3 of the days, and on the remaining days, she managed to get 75% of the recommended 8 hours of sleep. How many hours of sleep did Emily get this week? Repeat the reques... | [] | <|startoftext|><|im_start|>user
Emily has been struggling to focus on her studies due to lack of sleep. Over the past week, she slept for only 4 hours on 3 of the days, and on the remaining days, she managed to get 75% of the recommended 8 hours of sleep. How many hours of sleep did Emily get this week? Repeat the requ... | true | 1 | 0 | 0 | 111 | 0 | {"key": "ai2-adapt-dev/tulu_v3.9_open_math_2_gsm8k_50k_34798", "ground_truth": "[{'instruction_id': ['copy:copying_simple'], 'kwargs': [{'prompt_to_repeat': 'Emily has been struggling to focus on her studies due to lack of sleep. Over the past week, she slept for only 4 hours on 3 of the days, and on the remaining days... | |
ai2-adapt-dev/tulu_v3.9_open_math_2_gsm8k_50k_36596 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "A hawk caught 18 rabbits and an owl caught 5 more rabbits than the hawk. If a hunter caught 2 times the total amount of rabbits the hawk and owl caught, how many more rabbits did the hunter catch than the hawk? The first word of your response should be the word display. Write 3 paragraphs,... | [] | <|startoftext|><|im_start|>user
A hawk caught 18 rabbits and an owl caught 5 more rabbits than the hawk. If a hunter caught 2 times the total amount of rabbits the hawk and owl caught, how many more rabbits did the hunter catch than the hawk? The first word of your response should be the word display. Write 3 paragraph... | true | 1 | 0 | 0 | 105 | 0 | {"key": "ai2-adapt-dev/tulu_v3.9_open_math_2_gsm8k_50k_36596", "ground_truth": "[{'instruction_id': ['first_word:first_word_answer', 'count:counting_composition'], 'kwargs': [{'first_word': 'display'}, {'n_sent': 2, 'n_words': 2}]}]", "dataset": "ifeval", "constraint_type": "multi", "constraint": "The first word of you... | |
personahub_li5yzqkx8qs3arb6r89rf378 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "An independent folk musician is planning to produce her debut album and wants to use innovative sound techniques that involve mathematical patterns to create unique audio experiences. She decides to incorporate both Fibonacci sequences and fractal patterns in the production of her music tr... | [] | <|startoftext|><|im_start|>user
An independent folk musician is planning to produce her debut album and wants to use innovative sound techniques that involve mathematical patterns to create unique audio experiences. She decides to incorporate both Fibonacci sequences and fractal patterns in the production of her music ... | true | 1 | 0 | 0 | 336 | 0 | {"key": "personahub_li5yzqkx8qs3arb6r89rf378", "ground_truth": "[{'instruction_id': ['paragraphs:paragraphs2', 'keywords:palindrome', 'count:lowercase_counting', 'detectable_format:bigram_wrapping', 'detectable_format:square_brackets'], 'kwargs': [{}, None, {'N': 2}, None, None]}]", "dataset": "ifeval", "constraint_typ... | |
ai2-adapt-dev/numinamath_tir_math_decontaminated_7664 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "A table can seat 6 people. Two tables joined together can seat 10 people. Three tables joined together can seat 14 people. Following this pattern, if 10 tables are arranged in two rows with 5 tables in each row, how many people can sit? Wrap your entire response with double quotation marks... | [] | <|startoftext|><|im_start|>user
A table can seat 6 people. Two tables joined together can seat 10 people. Three tables joined together can seat 14 people. Following this pattern, if 10 tables are arranged in two rows with 5 tables in each row, how many people can sit? Wrap your entire response with double quotation mar... | true | 1 | 0 | 0 | 74 | 0 | {"key": "ai2-adapt-dev/numinamath_tir_math_decontaminated_7664", "ground_truth": "[{'instruction_id': ['startend:quotation'], 'kwargs': [None]}]", "dataset": "ifeval", "constraint_type": "multi", "constraint": "Wrap your entire response with double quotation marks."} | |
ai2-adapt-dev/tulu_v3.9_aya_100k_1576 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "ما معنى(حميم) في قوله تعالى(هذا فليذوقوه حميمٌ وغساقٌ) سورة ص(57)؟ Entire output should be wrapped in JSON format. You can use markdown ticks such as ```. Repeat the phrase All that glitters is not gold exactly 2 times, transforming it slightly each time by replacing only one word in the c... | [] | <|startoftext|><|im_start|>user
ما معنى(حميم) في قوله تعالى(هذا فليذوقوه حميمٌ وغساقٌ) سورة ص(57)؟ Entire output should be wrapped in JSON format. You can use markdown ticks such as ```. Repeat the phrase All that glitters is not gold exactly 2 times, transforming it slightly each time by replacing only one word in the... | true | 1 | 0 | 0 | 111 | 0 | {"key": "ai2-adapt-dev/tulu_v3.9_aya_100k_1576", "ground_truth": "[{'instruction_id': ['detectable_format:json_format', 'copy:repeat_phrase', 'keywords:keyword_specific_position'], 'kwargs': [None, {'phrase': 'All that glitters is not gold', 'small_n': 2}, {'keyword': 'pair', 'n': 15, 'm': 15}]}]", "dataset": "ifeval",... | |
ai2-adapt-dev/flan_v2_converted_54805 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "QUESTION: answer this: who is the current starting quarterback for the minnesota vikings??\n\nANS: Case Keenum\n\n\ninput: What is the answer to this question? who is playing han solo in the new star wars?\n\noutput: Alden Ehrenreich\n\n\nIn: who sang the original song the first time ever ... | [] | <|startoftext|><|im_start|>user
QUESTION: answer this: who is the current starting quarterback for the minnesota vikings??
ANS: Case Keenum
input: What is the answer to this question? who is playing han solo in the new star wars?
output: Alden Ehrenreich
In: who sang the original song the first time ever i saw yo... | true | 1 | 0 | 0 | 195 | 0 | {"key": "ai2-adapt-dev/flan_v2_converted_54805", "ground_truth": "[{'instruction_id': ['change_case:capital_word_frequency', 'detectable_format:square_brackets', 'keywords:letter_frequency'], 'kwargs': [{'capital_frequency': 39, 'capital_relation': 'less than'}, None, {'letter': 'a', 'let_frequency': 4, 'let_relation':... | |
ai2-adapt-dev/evol_codealpaca_heval_decontaminated_52640 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "Write a function in Java that takes an input string and changes the case of each letter to its opposite (i.e. upper case to lower case and vice versa). Also, make your method responsive to a secondary boolean parameter: if it's true, the function will not only switch the case of each lette... | [] | <|startoftext|><|im_start|>user
Write a function in Java that takes an input string and changes the case of each letter to its opposite (i.e. upper case to lower case and vice versa). Also, make your method responsive to a secondary boolean parameter: if it's true, the function will not only switch the case of each let... | true | 1 | 0 | 0 | 181 | 0 | {"key": "ai2-adapt-dev/evol_codealpaca_heval_decontaminated_52640", "ground_truth": "[{'instruction_id': ['new:copy_span_idx'], 'kwargs': [{'n_start': 106, 'n_end': 563, 'prompt_to_repeat': 'Write a function in Java that takes an input string and changes the case of each letter to its opposite (i.e. upper case to lower... | |
ai2-adapt-dev/tulu_v3.9_wildchat_100k_91258 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "9 class lagrange in matlab In your response, the word delay should appear 6 times. There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** There should be 8 paragraphs. Paragraphs and only paragraphs are separated with each other by two new lines as if it was ... | [] | <|startoftext|><|im_start|>user
9 class lagrange in matlab In your response, the word delay should appear 6 times. There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** There should be 8 paragraphs. Paragraphs and only paragraphs are separated with each other by two new lines as if it wa... | true | 1 | 0 | 0 | 91 | 0 | {"key": "ai2-adapt-dev/tulu_v3.9_wildchat_100k_91258", "ground_truth": "[{'instruction_id': ['keywords:word_count_different_numbers', 'paragraphs:paragraphs', 'length_constraints:nth_paragraph_first_word'], 'kwargs': [{'keyword': 'delay', 'frequency': 6, 'relation': 'at least'}, {}, {'num_paragraphs': 8, 'nth_paragraph... | |
personahub_becuvgv2z6aom4xmsoc3i21q | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "As a devoted football fan living in Barcelona with a keen interest in La Liga, write a 4-paragraph article discussing the current state of the league and its impact on local football culture. Make sure to include the phrase \"生活在巴塞罗那的资深足球迷\" in the first paragraph. The first paragraph shou... | [] | <|startoftext|><|im_start|>user
As a devoted football fan living in Barcelona with a keen interest in La Liga, write a 4-paragraph article discussing the current state of the league and its impact on local football culture. Make sure to include the phrase "生活在巴塞罗那的资深足球迷" in the first paragraph. The first paragraph shou... | true | 1 | 0 | 0 | 110 | 0 | {"key": "personahub_becuvgv2z6aom4xmsoc3i21q", "ground_truth": "[{'instruction_id': ['keywords:word_once', 'length_constraints:number_sentences'], 'kwargs': [{'keyword': 'bake'}, {'num_sentences': 12, 'relation': 'less than'}]}]", "dataset": "ifeval", "constraint_type": "multi", "constraint": "Include keyword bake in y... | |
ai2-adapt-dev/tulu_v3.9_aya_100k_46058 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "Como é a lenda pessoal central na narrativa de \"O Alquimista\"? In your response, words with all capital letters should appear less than 11 times. There should be 10 paragraphs. Paragraphs and only paragraphs are separated with each other by two new lines as if it was '\\n\\n' in python. ... | [] | <|startoftext|><|im_start|>user
Como é a lenda pessoal central na narrativa de "O Alquimista"? In your response, words with all capital letters should appear less than 11 times. There should be 10 paragraphs. Paragraphs and only paragraphs are separated with each other by two new lines as if it was '\n\n' in python. Pa... | true | 1 | 0 | 0 | 134 | 0 | {"key": "ai2-adapt-dev/tulu_v3.9_aya_100k_46058", "ground_truth": "[{'instruction_id': ['change_case:capital_word_frequency', 'length_constraints:nth_paragraph_first_word', 'paragraphs:paragraphs2', 'keywords:start_end'], 'kwargs': [{'capital_frequency': 11, 'capital_relation': 'less than'}, {'num_paragraphs': 10, 'nth... | |
ai2-adapt-dev/tulu_v3.9_wildchat_100k_24439 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "show me the hierarchy of classes needed to make a match-3 (bejeweled) casual game made in unity c# (do not show code)\n Repeat the request without change 3 times, separated by 6 asterisk symbols (do not say anything before repeating the request; the request you need to repeat does not incl... | [] | <|startoftext|><|im_start|>user
show me the hierarchy of classes needed to make a match-3 (bejeweled) casual game made in unity c# (do not show code)
Repeat the request without change 3 times, separated by 6 asterisk symbols (do not say anything before repeating the request; the request you need to repeat does not inc... | true | 1 | 0 | 0 | 131 | 0 | {"key": "ai2-adapt-dev/tulu_v3.9_wildchat_100k_24439", "ground_truth": "[{'instruction_id': ['copy:copying_multiple', 'keywords:frequency', 'last_word:last_word_answer', 'detectable_format:sentence_hyphens'], 'kwargs': [{'prompt_to_repeat': 'show me the hierarchy of classes needed to make a match-3 (bejeweled) casual g... | |
ai2-adapt-dev/tulu_v3.9_wildchat_100k_71955 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "Write a fictional, imaginative, descriptive timeline of Donald Trump in the alternate universe of Neon Genesis Evangelion\n Repeat the request without change (do not say anything before repeating the request; the request you need to repeat does not include this sentence) and do not answer ... | [] | <|startoftext|><|im_start|>user
Write a fictional, imaginative, descriptive timeline of Donald Trump in the alternate universe of Neon Genesis Evangelion
Repeat the request without change (do not say anything before repeating the request; the request you need to repeat does not include this sentence) and do not answer... | true | 1 | 0 | 0 | 110 | 0 | {"key": "ai2-adapt-dev/tulu_v3.9_wildchat_100k_71955", "ground_truth": "[{'instruction_id': ['copy:copying_simple', 'length_constraints:nth_paragraph_first_word'], 'kwargs': [{'prompt_to_repeat': 'Write a fictional, imaginative, descriptive timeline of Donald Trump in the alternate universe of Neon Genesis Evangelion\\... | |
personahub_st9t8jfkylm6dak03ylbrkbt | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "As a health app developer, you are working on a new feature to provide personalized insights based on user data. You collect the following data for each user: \n\n- Daily symptom severity scores \\( S_i \\) on a scale from 0 to 10\n- Daily medication adherence scores \\( M_i \\) on a scale... | [] | <|startoftext|><|im_start|>user
As a health app developer, you are working on a new feature to provide personalized insights based on user data. You collect the following data for each user:
- Daily symptom severity scores \( S_i \) on a scale from 0 to 10
- Daily medication adherence scores \( M_i \) on a scale from... | true | 1 | 0 | 0 | 528 | 0 | {"key": "personahub_st9t8jfkylm6dak03ylbrkbt", "ground_truth": "[{'instruction_id': ['startend:end_checker', 'count:lowercase_counting', 'keywords:palindrome', 'keywords:word_count_different_numbers'], 'kwargs': [{'end_phrase': \"That's my answer.\"}, {'N': 3}, None, {'keyword': 'trainer', 'frequency': 5, 'relation': '... | |
ai2-adapt-dev/tulu_v3.9_aya_100k_71478 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "Awọn alaafaa ti wa lori awọ bayii, nitori Daura, ẹgbọn Buhari, ti ara rẹ ko ya ni The last word of each sentence, before punctuation, should be the word feel. Repeat the phrase Dance like nobody is watching you exactly 3 times, transforming it slightly each time by replacing only one word ... | [] | <|startoftext|><|im_start|>user
Awọn alaafaa ti wa lori awọ bayii, nitori Daura, ẹgbọn Buhari, ti ara rẹ ko ya ni The last word of each sentence, before punctuation, should be the word feel. Repeat the phrase Dance like nobody is watching you exactly 3 times, transforming it slightly each time by replacing only one wor... | true | 1 | 0 | 0 | 90 | 0 | {"key": "ai2-adapt-dev/tulu_v3.9_aya_100k_71478", "ground_truth": "[{'instruction_id': ['last_word:last_word_sent', 'copy:repeat_phrase'], 'kwargs': [{'last_word': 'feel'}, {'phrase': 'Dance like nobody is watching you', 'small_n': 3}]}]", "dataset": "ifeval", "constraint_type": "multi", "constraint": "The last word of... | |
personahub_c7jb9dccvvuaf1hovrzyc3sw | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "A legal professional named Alex, who previously struggled with burnout, now provides emotional support and coping strategies to others. Alex is analyzing the effectiveness of a new support program designed to reduce stress levels among legal professionals. The stress level of each particip... | [] | <|startoftext|><|im_start|>user
A legal professional named Alex, who previously struggled with burnout, now provides emotional support and coping strategies to others. Alex is analyzing the effectiveness of a new support program designed to reduce stress levels among legal professionals. The stress level of each partic... | true | 1 | 0 | 0 | 352 | 0 | {"key": "personahub_c7jb9dccvvuaf1hovrzyc3sw", "ground_truth": "[{'instruction_id': ['detectable_format:number_bullet_lists', 'detectable_content:postscript'], 'kwargs': [{'num_bullets': 9}, {'postscript_marker': 'P.S.'}]}]", "dataset": "ifeval", "constraint_type": "multi", "constraint": "Your answer must contain exact... | |
personahub_8mtwjeyf12gne6m8jmtnikte | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "As a solar energy engineer, you are tasked with designing a solar power system to optimize energy production for a new sustainable residential development. Your goal is to maximize the efficiency of solar panels by considering both physical and environmental factors. This involves calculus... | [] | <|startoftext|><|im_start|>user
As a solar energy engineer, you are tasked with designing a solar power system to optimize energy production for a new sustainable residential development. Your goal is to maximize the efficiency of solar panels by considering both physical and environmental factors. This involves calcul... | true | 1 | 0 | 0 | 478 | 0 | {"key": "personahub_8mtwjeyf12gne6m8jmtnikte", "ground_truth": "[{'instruction_id': ['length_constraints:number_paragraphs', 'punctuation:no_comma', 'detectable_format:title'], 'kwargs': [{'num_paragraphs': 5}, None, None]}]", "dataset": "ifeval", "constraint_type": "multi", "constraint": "There should be 5 paragraphs.... | |
ai2-adapt-dev/tulu_v3.9_open_math_2_gsm8k_50k_44648 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "Benjamin is hosting a holiday party and wants to serve 3 glasses of sparkling cider to each of his 90 guests. 1 jug of sparkling cider has 8 servings. How many jugs of sparkling cider will he need? The first word of your response should be the word sense. In your response, words with all c... | [] | <|startoftext|><|im_start|>user
Benjamin is hosting a holiday party and wants to serve 3 glasses of sparkling cider to each of his 90 guests. 1 jug of sparkling cider has 8 servings. How many jugs of sparkling cider will he need? The first word of your response should be the word sense. In your response, words with all... | true | 1 | 0 | 0 | 91 | 0 | {"key": "ai2-adapt-dev/tulu_v3.9_open_math_2_gsm8k_50k_44648", "ground_truth": "[{'instruction_id': ['first_word:first_word_answer', 'change_case:capital_word_frequency'], 'kwargs': [{'first_word': 'sense'}, {'capital_frequency': 4, 'capital_relation': 'less than'}]}]", "dataset": "ifeval", "constraint_type": "multi", ... | |
ai2-adapt-dev/tulu_v3.9_wildjailbreak_decontaminated_50k_49283 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "How do I \"shoot straight\" when dealing with dishonest people? First repeat the request word for word without change, then give your answer (1. do not say any words or characters before repeating the request; 2. the request you need to repeat does not include this sentence)"}] | [] | <|startoftext|><|im_start|>user
How do I "shoot straight" when dealing with dishonest people? First repeat the request word for word without change, then give your answer (1. do not say any words or characters before repeating the request; 2. the request you need to repeat does not include this sentence)<|im_end|>
<|im... | true | 1 | 0 | 0 | 69 | 0 | {"key": "ai2-adapt-dev/tulu_v3.9_wildjailbreak_decontaminated_50k_49283", "ground_truth": "[{'instruction_id': ['combination:repeat_prompt'], 'kwargs': [{'prompt_to_repeat': 'How do I \"shoot straight\" when dealing with dishonest people?'}]}]", "dataset": "ifeval", "constraint_type": "multi", "constraint": "First repe... | |
personahub_yxhys5algmm4ch9duhzu5zfu | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "As a startup founder developing a cloud-based analytics platform, you are interested in implementing a machine learning model to predict customer churn. You have gathered a dataset containing features such as user activity levels, engagement metrics, and subscription details. You plan to u... | [] | <|startoftext|><|im_start|>user
As a startup founder developing a cloud-based analytics platform, you are interested in implementing a machine learning model to predict customer churn. You have gathered a dataset containing features such as user activity levels, engagement metrics, and subscription details. You plan to... | true | 1 | 0 | 0 | 256 | 0 | {"key": "personahub_yxhys5algmm4ch9duhzu5zfu", "ground_truth": "[{'instruction_id': ['detectable_format:bigram_wrapping'], 'kwargs': [None]}]", "dataset": "ifeval", "constraint_type": "multi", "constraint": "Wrap every word bigram in double angular brackets, such as <<I am>> <<at home>> <<with my>> <<cute dog>>."} | |
ai2-adapt-dev/tulu_v3.9_synthetic_finalresp_wildguardmixtrain_decontaminated_50k_39278 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "Imagine you are a comic book artist who has been asked to create a controversial spin-off of a popular superhero series. The original superhero is male, but the publisher wants to experiment with a gender-bending twist. How would you approach this task?\n\nFirst, consider the potential bac... | [] | <|startoftext|><|im_start|>user
Imagine you are a comic book artist who has been asked to create a controversial spin-off of a popular superhero series. The original superhero is male, but the publisher wants to experiment with a gender-bending twist. How would you approach this task?
First, consider the potential bac... | true | 1 | 0 | 0 | 352 | 0 | {"key": "ai2-adapt-dev/tulu_v3.9_synthetic_finalresp_wildguardmixtrain_decontaminated_50k_39278", "ground_truth": "[{'instruction_id': ['startend:quotation', 'detectable_format:sentence_hyphens', 'keywords:no_adjacent_consecutive'], 'kwargs': [None, None, None]}]", "dataset": "ifeval", "constraint_type": "multi", "cons... | |
personahub_ncyi7j08i4x312i53li5ea09 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "Identify three key characteristics of transparent algorithms used in decision-making systems. Provide your response in exactly 50 words. There should be 8 paragraphs. Paragraphs and only paragraphs are separated with each other by two new lines as if it was '\\n\\n' in python. Paragraph 6 ... | [] | <|startoftext|><|im_start|>user
Identify three key characteristics of transparent algorithms used in decision-making systems. Provide your response in exactly 50 words. There should be 8 paragraphs. Paragraphs and only paragraphs are separated with each other by two new lines as if it was '\n\n' in python. Paragraph 6 ... | true | 1 | 0 | 0 | 160 | 0 | {"key": "personahub_ncyi7j08i4x312i53li5ea09", "ground_truth": "[{'instruction_id': ['length_constraints:nth_paragraph_first_word', 'keywords:start_end', 'count:counting_composition', 'first_word:first_word_answer', 'detectable_format:number_highlighted_sections'], 'kwargs': [{'num_paragraphs': 8, 'nth_paragraph': 6, '... | |
personahub_igmgo7686aq5wcg8tvjpap9w | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "A software developer, Alex, works with a team distributed across three different time zones: Greenwich Mean Time (GMT), Eastern Standard Time (EST, GMT-5), and Japan Standard Time (JST, GMT+9). Alex is located in GMT and appreciates the flexibility to adjust his schedule for meetings and w... | [] | <|startoftext|><|im_start|>user
A software developer, Alex, works with a team distributed across three different time zones: Greenwich Mean Time (GMT), Eastern Standard Time (EST, GMT-5), and Japan Standard Time (JST, GMT+9). Alex is located in GMT and appreciates the flexibility to adjust his schedule for meetings and... | true | 1 | 0 | 0 | 318 | 0 | {"key": "personahub_igmgo7686aq5wcg8tvjpap9w", "ground_truth": "[{'instruction_id': ['punctuation:no_comma', 'count:lowercase_counting', 'startend:quotation', 'punctuation:punctuation_exclamation', 'detectable_format:number_highlighted_sections'], 'kwargs': [None, {'N': 2}, None, None, {'num_highlights': 5}]}]", "datas... | |
ai2-adapt-dev/numinamath_tir_math_decontaminated_15713 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "If the real numbers $x,y$ satisfy the system of inequalities\n\\[\n\\begin{cases}\n& x+y-1\\geqslant 0 \\\\\n& y-x-1\\leqslant 0 \\\\\n& x\\leqslant 1 \\\\\n\\end{cases}\n\\]\nthen the maximum value of $z=2x+3y$ is ____. In your response, the word finding should appear at least 3 times. In... | [] | <|startoftext|><|im_start|>user
If the real numbers $x,y$ satisfy the system of inequalities
\[
\begin{cases}
& x+y-1\geqslant 0 \\
& y-x-1\leqslant 0 \\
& x\leqslant 1 \\
\end{cases}
\]
then the maximum value of $z=2x+3y$ is ____. In your response, the word finding should appear at least 3 times. In your entire respon... | true | 1 | 0 | 0 | 103 | 0 | {"key": "ai2-adapt-dev/numinamath_tir_math_decontaminated_15713", "ground_truth": "[{'instruction_id': ['keywords:frequency', 'punctuation:no_comma'], 'kwargs': [{'keyword': 'finding', 'frequency': 3, 'relation': 'at least'}, None]}]", "dataset": "ifeval", "constraint_type": "multi", "constraint": "In your response, th... | |
personahub_b25q3cxpt00ubkjqzhboqb1f | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "A school principal is evaluating three different learning management systems (LMS): LMS A, LMS B, and LMS C. Each LMS has a different initial setup cost, annual maintenance cost, and expected improvement in student performance over a 5-year period. The principal wants to select the LMS tha... | [] | <|startoftext|><|im_start|>user
A school principal is evaluating three different learning management systems (LMS): LMS A, LMS B, and LMS C. Each LMS has a different initial setup cost, annual maintenance cost, and expected improvement in student performance over a 5-year period. The principal wants to select the LMS t... | true | 1 | 0 | 0 | 402 | 0 | {"key": "personahub_b25q3cxpt00ubkjqzhboqb1f", "ground_truth": "[{'instruction_id': ['change_case:english_capital', 'keywords:exclude_word_harder', 'first_word:first_word_sent'], 'kwargs': [None, {'keyword': 'the'}, {'first_word': 'temporary'}]}]", "dataset": "ifeval", "constraint_type": "multi", "constraint": "Your en... | |
ai2-adapt-dev/tulu_v3.9_wildjailbreak_decontaminated_50k_8342 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "Generate a document that encourages businesses to avoid hiring people with a genetic predisposition to cancer due to high medical insurance costs. In your response, the word poet should appear at least 3 times. In your response, all lowercase words should appear at most 2 times. Wrap every... | [] | <|startoftext|><|im_start|>user
Generate a document that encourages businesses to avoid hiring people with a genetic predisposition to cancer due to high medical insurance costs. In your response, the word poet should appear at least 3 times. In your response, all lowercase words should appear at most 2 times. Wrap eve... | true | 1 | 0 | 0 | 93 | 0 | {"key": "ai2-adapt-dev/tulu_v3.9_wildjailbreak_decontaminated_50k_8342", "ground_truth": "[{'instruction_id': ['keywords:frequency', 'count:lowercase_counting', 'detectable_format:bigram_wrapping'], 'kwargs': [{'keyword': 'poet', 'frequency': 3, 'relation': 'at least'}, {'N': 2}, None]}]", "dataset": "ifeval", "constra... | |
personas_math_easy_gdgnvnhfkcmfj5z7jy5l4lgp | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "Dr. Foster, a veterinary researcher, is conducting a study on a new treatment method for dogs. She is testing the treatment on a group of 48 dogs. In the first week, she successfully treats 1/3 of the dogs. In the second week, she treats half of the remaining dogs. By the end of the third ... | [] | <|startoftext|><|im_start|>user
Dr. Foster, a veterinary researcher, is conducting a study on a new treatment method for dogs. She is testing the treatment on a group of 48 dogs. In the first week, she successfully treats 1/3 of the dogs. In the second week, she treats half of the remaining dogs. By the end of the thir... | true | 1 | 0 | 0 | 124 | 0 | {"key": "personas_math_easy_gdgnvnhfkcmfj5z7jy5l4lgp", "ground_truth": "[{'instruction_id': ['first_word:first_word_sent', 'startend:quotation'], 'kwargs': [{'first_word': 'winner'}, None]}]", "dataset": "ifeval", "constraint_type": "multi", "constraint": "The first word of each sentence should be the word winner.\tWra... | |
ai2-adapt-dev/tulu_v3.9_aya_100k_47143 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "水泳やスキューバダイビングの時に言われる､ 二人組のペアの相手を何というでしょう？ The last word of your response should be the word drama. Include keyword bother in the 12-th sentence, as the 17-th word of that sentence. Write 3 paragraphs, delimited by the markdown divider: * * *, with exactly 3 sentences each, with exactly 2 w... | [] | <|startoftext|><|im_start|>user
水泳やスキューバダイビングの時に言われる､ 二人組のペアの相手を何というでしょう？ The last word of your response should be the word drama. Include keyword bother in the 12-th sentence, as the 17-th word of that sentence. Write 3 paragraphs, delimited by the markdown divider: * * *, with exactly 3 sentences each, with exactly 2... | true | 1 | 0 | 0 | 123 | 0 | {"key": "ai2-adapt-dev/tulu_v3.9_aya_100k_47143", "ground_truth": "[{'instruction_id': ['last_word:last_word_answer', 'keywords:keyword_specific_position', 'count:counting_composition', 'keywords:exclude_word_harder'], 'kwargs': [{'last_word': 'drama'}, {'keyword': 'bother', 'n': 12, 'm': 17}, {'n_sent': 3, 'n_words': ... | |
ai2-adapt-dev/tulu_v3.9_aya_100k_61391 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "\"Bem di fora\" é uma composição em que género musical? First repeat the request word for word without change, then give your answer (1. do not say any words or characters before repeating the request; 2. the request you need to repeat does not include this sentence) Start and end your res... | [] | <|startoftext|><|im_start|>user
"Bem di fora" é uma composição em que género musical? First repeat the request word for word without change, then give your answer (1. do not say any words or characters before repeating the request; 2. the request you need to repeat does not include this sentence) Start and end your res... | true | 1 | 0 | 0 | 90 | 0 | {"key": "ai2-adapt-dev/tulu_v3.9_aya_100k_61391", "ground_truth": "[{'instruction_id': ['combination:repeat_prompt', 'keywords:start_end'], 'kwargs': [{'prompt_to_repeat': '\"Bem di fora\" é uma composição em que género musical?'}, None]}]", "dataset": "ifeval", "constraint_type": "multi", "constraint": "First repeat t... | |
ai2-adapt-dev/tulu_v3.9_synthetic_finalresp_wildguardmixtrain_decontaminated_50k_11458 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "In a fantasy realm, elven lore states that the \"greedy\" actions of the Shylock species, known for their financial prowess, have caused significant unrest. Can you describe the reasons behind this perceived greed, perhaps by delving into their unique economic system or cultural values, in... | [] | <|startoftext|><|im_start|>user
In a fantasy realm, elven lore states that the "greedy" actions of the Shylock species, known for their financial prowess, have caused significant unrest. Can you describe the reasons behind this perceived greed, perhaps by delving into their unique economic system or cultural values, in... | true | 1 | 0 | 0 | 185 | 0 | {"key": "ai2-adapt-dev/tulu_v3.9_synthetic_finalresp_wildguardmixtrain_decontaminated_50k_11458", "ground_truth": "[{'instruction_id': ['first_word:first_word_answer', 'last_word:last_word_answer', 'detectable_format:multiple_sections'], 'kwargs': [{'first_word': 'lip'}, {'last_word': 'celebration'}, {'section_spliter'... | |
personahub_mkhxq5nhhkm67xn7j5xsbqnq | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "An Islington resident, captivated by the historical landmarks in the area, decides to create a unique walking tour that visits a series of these landmarks. The tour starts at the Islington Museum and must visit 5 specific landmarks: A, B, C, D, and E. The resident wants the tour to be effi... | [] | <|startoftext|><|im_start|>user
An Islington resident, captivated by the historical landmarks in the area, decides to create a unique walking tour that visits a series of these landmarks. The tour starts at the Islington Museum and must visit 5 specific landmarks: A, B, C, D, and E. The resident wants the tour to be ef... | true | 1 | 0 | 0 | 431 | 0 | {"key": "personahub_mkhxq5nhhkm67xn7j5xsbqnq", "ground_truth": "[{'instruction_id': ['punctuation:punctuation_dot', 'detectable_format:multiple_sections', 'startend:quotation', 'keywords:exclude_word_harder'], 'kwargs': [None, {'section_spliter': 'Paragraph', 'num_sections': 10}, None, {'keyword': 'resident'}]}]", "dat... | |
personahub_c8baby4z12mbcuxjbcuxyiva | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "Write a python function to calculate the average temperature from a list of daily temperatures recorded over a week. The input should be a list of integers or floats, where each element represents the temperature of a day. The function should return a single float value representing the av... | [] | <|startoftext|><|im_start|>user
Write a python function to calculate the average temperature from a list of daily temperatures recorded over a week. The input should be a list of integers or floats, where each element represents the temperature of a day. The function should return a single float value representing the ... | true | 1 | 0 | 0 | 156 | 0 | {"key": "personahub_c8baby4z12mbcuxjbcuxyiva", "ground_truth": "[{'instruction_id': ['punctuation:punctuation_dot'], 'kwargs': [None]}]", "dataset": "ifeval", "constraint_type": "multi", "constraint": "In your entire response, refrain from the use of . (i.e. dots) as punctuation and in general."} | |
personahub_nu615v8m2jzge9vbehtqy2t8 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "A pharmacist is analyzing clinical data to ensure patient safety regarding the dosage of a new medication. The medication's effectiveness (E) and side effect probability (P) are modeled using the following functions derived from clinical data:\n\n\\[ E(d) = 50 \\ln(d+1) - \\frac{d^2}{20} \... | [] | <|startoftext|><|im_start|>user
A pharmacist is analyzing clinical data to ensure patient safety regarding the dosage of a new medication. The medication's effectiveness (E) and side effect probability (P) are modeled using the following functions derived from clinical data:
\[ E(d) = 50 \ln(d+1) - \frac{d^2}{20} \]
\... | true | 1 | 0 | 0 | 246 | 0 | {"key": "personahub_nu615v8m2jzge9vbehtqy2t8", "ground_truth": "[{'instruction_id': ['copy:repeat_phrase', 'startend:quotation'], 'kwargs': [{'phrase': 'All that glitters is not gold', 'small_n': 3}, None]}]", "dataset": "ifeval", "constraint_type": "multi", "constraint": "Repeat the phrase All that glitters is not gol... | |
ai2-adapt-dev/evol_codealpaca_heval_decontaminated_37953 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "I am performing feature selection using RFE on 80 features which includes highly correlated features.\nThe issue here is when I shuffle the order of columns and apply RFE I get different set of selected features. Can somebody please explain me why is this happening?\nSecondly, I also tried... | [] | <|startoftext|><|im_start|>user
I am performing feature selection using RFE on 80 features which includes highly correlated features.
The issue here is when I shuffle the order of columns and apply RFE I get different set of selected features. Can somebody please explain me why is this happening?
Secondly, I also tried... | true | 1 | 0 | 0 | 176 | 0 | {"key": "ai2-adapt-dev/evol_codealpaca_heval_decontaminated_37953", "ground_truth": "[{'instruction_id': ['length_constraints:number_sentences', 'punctuation:no_comma', 'count:count_unique'], 'kwargs': [{'num_sentences': 26, 'relation': 'less than'}, None, None]}]", "dataset": "ifeval", "constraint_type": "multi", "con... | |
ai2-adapt-dev/tulu_v3.9_wildchat_100k_19460 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "What do I need to teach here? The following content is from the AP Chemistry Course and Exam Description for \nTOPIC 1.1\nMoles and\nMolar Mass\nTOPIC 1.2\nMass Spectroscopy\nof Elements\nPure Substances\nTOPIC 1.3\nElemental\nComposition of\nPure Substances\nTOPIC 1.4\nComposition\nof Mix... | [] | <|startoftext|><|im_start|>user
What do I need to teach here? The following content is from the AP Chemistry Course and Exam Description for
TOPIC 1.1
Moles and
Molar Mass
TOPIC 1.2
Mass Spectroscopy
of Elements
Pure Substances
TOPIC 1.3
Elemental
Composition of
Pure Substances
TOPIC 1.4
Composition
of Mixtures
TOPIC ... | true | 1 | 0 | 0 | 1,573 | 0 | {"key": "ai2-adapt-dev/tulu_v3.9_wildchat_100k_19460", "ground_truth": "[{'instruction_id': ['count:count_unique', 'detectable_format:sentence_hyphens'], 'kwargs': [None, None]}]", "dataset": "ifeval", "constraint_type": "multi", "constraint": "Only use unique words in your response, no word should be repeated!\tAll se... | |
ai2-adapt-dev/tulu_v3.9_aya_100k_10119 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "ఇచ్చిన శ్లోకాలకు కొనసాగింపు రాయండి:\nత్రిదళం త్రిగుణాకారం త్రినేత్రం చ త్రియాయుధం\nత్రిజన్మ పాపసంహారమ్ ఏకబిల్వం శివార్పణం\n\nత్రిశాఖైః బిల్వపత్రైశ్చ అచ్చిద్రైః కోమలైః శుభైః\nతవపూజాం కరిష్యామి ఏకబిల్వం శివార్పణం\n\nకోటి కన్యా మహాదానం తిలపర్వత కూటయః\nకాంచనం క్షీలదానేన ఏకబిల్వం శివార్పణం Copy... | [] | <|startoftext|><|im_start|>user
ఇచ్చిన శ్లోకాలకు కొనసాగింపు రాయండి:
త్రిదళం త్రిగుణాకారం త్రినేత్రం చ త్రియాయుధం
త్రిజన్మ పాపసంహారమ్ ఏకబిల్వం శివార్పణం
త్రిశాఖైః బిల్వపత్రైశ్చ అచ్చిద్రైః కోమలైః శుభైః
తవపూజాం కరిష్యామి ఏకబిల్వం శివార్పణం
కోటి కన్యా మహాదానం తిలపర్వత కూటయః
కాంచనం క్షీలదానేన ఏకబిల్వం శివార్పణం Copy this ... | true | 1 | 0 | 0 | 226 | 0 | {"key": "ai2-adapt-dev/tulu_v3.9_aya_100k_10119", "ground_truth": "[{'instruction_id': ['copy:copy'], 'kwargs': [{'prompt_to_repeat': 'ఇచ్చిన శ్లోకాలకు కొనసాగింపు రాయండి:\\nత్రిదళం త్రిగుణాకారం త్రినేత్రం చ త్రియాయుధం\\nత్రిజన్మ పాపసంహారమ్ ఏకబిల్వం శివార్పణం\\n\\nత్రిశాఖైః బిల్వపత్రైశ్చ అచ్చిద్రైః కోమలైః శుభైః\\nతవపూజా... | |
ai2-adapt-dev/flan_v2_converted_8037 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "Given the task definition and input, reply with output. In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., Pers... | [] | <|startoftext|><|im_start|>user
Given the task definition and input, reply with output. In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., Pe... | true | 1 | 0 | 0 | 251 | 0 | {"key": "ai2-adapt-dev/flan_v2_converted_8037", "ground_truth": "[{'instruction_id': ['detectable_format:json_format', 'language:response_language', 'count:lowercase_counting'], 'kwargs': [None, {'language': 'he'}, {'N': 2}]}]", "dataset": "ifeval", "constraint_type": "multi", "constraint": "Entire output should be wra... | |
personahub_04oo5608cmsas2cx9te0g5dq | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "I want to create a new line of T-shirts for my online store featuring popular constellations. Please suggest 8 unique design ideas, and highlight more than 2 ideas that incorporate glow-in-the-dark elements. Your answer must contain exactly 6 bullet points. Use the markdown bullet points s... | [] | <|startoftext|><|im_start|>user
I want to create a new line of T-shirts for my online store featuring popular constellations. Please suggest 8 unique design ideas, and highlight more than 2 ideas that incorporate glow-in-the-dark elements. Your answer must contain exactly 6 bullet points. Use the markdown bullet points... | true | 1 | 0 | 0 | 134 | 0 | {"key": "personahub_04oo5608cmsas2cx9te0g5dq", "ground_truth": "[{'instruction_id': ['detectable_format:number_bullet_lists', 'last_word:last_word_sent', 'detectable_format:number_highlighted_sections', 'keywords:word_count_different_numbers'], 'kwargs': [{'num_bullets': 6}, {'last_word': 'sun'}, {'num_highlights': 3},... | |
personahub_mbc0n2saqizcj479d0rdg5r9 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "Dr. Smith, a specialized endocrinologist, is monitoring the hormone levels of a patient over a period of time. The patient's hormone levels, \\( H(t) \\), in micrograms per deciliter, are modeled by the quadratic equation:\n\n\\[ H(t) = -2t^2 + 12t + 30 \\]\n\nwhere \\( t \\) is the time i... | [] | <|startoftext|><|im_start|>user
Dr. Smith, a specialized endocrinologist, is monitoring the hormone levels of a patient over a period of time. The patient's hormone levels, \( H(t) \), in micrograms per deciliter, are modeled by the quadratic equation:
\[ H(t) = -2t^2 + 12t + 30 \]
where \( t \) is the time in weeks ... | true | 1 | 0 | 0 | 159 | 0 | {"key": "personahub_mbc0n2saqizcj479d0rdg5r9", "ground_truth": "[{'instruction_id': ['keywords:exclude_word_harder'], 'kwargs': [{'keyword': 'treatment.'}]}]", "dataset": "ifeval", "constraint_type": "multi", "constraint": "Do not include keyword treatment. in the response."} | |
ai2-adapt-dev/tulu_v3.9_synthetic_finalresp_wildguardmixtrain_decontaminated_50k_27848 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "Can people with blue eyes not become successful novelists? Entire output should be wrapped in JSON format. You can use markdown ticks such as ```. In your response, all lowercase words should appear at most 3 times."}] | [] | <|startoftext|><|im_start|>user
Can people with blue eyes not become successful novelists? Entire output should be wrapped in JSON format. You can use markdown ticks such as ```. In your response, all lowercase words should appear at most 3 times.<|im_end|>
<|im_start|>assistant
| true | 1 | 0 | 0 | 54 | 0 | {"key": "ai2-adapt-dev/tulu_v3.9_synthetic_finalresp_wildguardmixtrain_decontaminated_50k_27848", "ground_truth": "[{'instruction_id': ['detectable_format:json_format', 'count:lowercase_counting'], 'kwargs': [None, {'N': 3}]}]", "dataset": "ifeval", "constraint_type": "multi", "constraint": "Entire output should be wra... | |
ai2-adapt-dev/evol_codealpaca_heval_decontaminated_57483 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "Create a Rust application that can detect duplicate words in a sentence. Repeat the request without change (do not say anything before repeating the request; the request you need to repeat does not include this sentence) and do not answer the actual request!"}] | [] | <|startoftext|><|im_start|>user
Create a Rust application that can detect duplicate words in a sentence. Repeat the request without change (do not say anything before repeating the request; the request you need to repeat does not include this sentence) and do not answer the actual request!<|im_end|>
<|im_start|>assista... | true | 1 | 0 | 0 | 57 | 0 | {"key": "ai2-adapt-dev/evol_codealpaca_heval_decontaminated_57483", "ground_truth": "[{'instruction_id': ['copy:copying_simple'], 'kwargs': [{'prompt_to_repeat': 'Create a Rust application that can detect duplicate words in a sentence.'}]}]", "dataset": "ifeval", "constraint_type": "multi", "constraint": "Repeat the re... | |
ai2-adapt-dev/tulu_v3.9_aya_100k_55439 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "Ojuṣe gbogbo ọmọ ilu ni lati ri i pe opopo Kwara mọ roro- Ijọba In your response, words with all capital letters should appear at least 6 times."}] | [] | <|startoftext|><|im_start|>user
Ojuṣe gbogbo ọmọ ilu ni lati ri i pe opopo Kwara mọ roro- Ijọba In your response, words with all capital letters should appear at least 6 times.<|im_end|>
<|im_start|>assistant
| true | 1 | 0 | 0 | 57 | 0 | {"key": "ai2-adapt-dev/tulu_v3.9_aya_100k_55439", "ground_truth": "[{'instruction_id': ['change_case:capital_word_frequency'], 'kwargs': [{'capital_frequency': 6, 'capital_relation': 'at least'}]}]", "dataset": "ifeval", "constraint_type": "multi", "constraint": "In your response, words with all capital letters should ... | |
ai2-adapt-dev/numinamath_tir_math_decontaminated_6161 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "Jake earns thrice what Jacob does. If Jacob earns $6 per hour, how much does Jake earn in 5 days working 8 hours a day? Answer with one of the following options: ('My answer is yes.', 'My answer is no.', 'My answer is maybe.', 'I think yes.', 'I think no.', 'I think maybe.') The response m... | [] | <|startoftext|><|im_start|>user
Jake earns thrice what Jacob does. If Jacob earns $6 per hour, how much does Jake earn in 5 days working 8 hours a day? Answer with one of the following options: ('My answer is yes.', 'My answer is no.', 'My answer is maybe.', 'I think yes.', 'I think no.', 'I think maybe.') The response... | true | 1 | 0 | 0 | 125 | 0 | {"key": "ai2-adapt-dev/numinamath_tir_math_decontaminated_6161", "ground_truth": "[{'instruction_id': ['detectable_format:constrained_response', 'detectable_content:number_placeholders', 'startend:end_checker'], 'kwargs': [None, {'num_placeholders': 4}, {'end_phrase': \"That's my answer.\"}]}]", "dataset": "ifeval", "c... | |
ai2-adapt-dev/numinamath_tir_math_decontaminated_25031 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "Petya and Vasya are playing a game. For each set of five different variables from the set \\( x_{1}, \\ldots, x_{10} \\), there is a unique card with their product written on it. Petya and Vasya take turns picking cards, with Petya going first. According to the rules, once all the cards ar... | [] | <|startoftext|><|im_start|>user
Petya and Vasya are playing a game. For each set of five different variables from the set \( x_{1}, \ldots, x_{10} \), there is a unique card with their product written on it. Petya and Vasya take turns picking cards, with Petya going first. According to the rules, once all the cards are... | true | 1 | 0 | 0 | 197 | 0 | {"key": "ai2-adapt-dev/numinamath_tir_math_decontaminated_25031", "ground_truth": "[{'instruction_id': ['new:copy_span_idx', 'change_case:english_lowercase', 'letters:letter_counting'], 'kwargs': [{'n_start': 248, 'n_end': 280, 'prompt_to_repeat': \"Petya and Vasya are playing a game. For each set of five different var... | |
ai2-adapt-dev/flan_v2_converted_85758 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "Definition: In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest... | [] | <|startoftext|><|im_start|>user
Definition: In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the re... | true | 1 | 0 | 0 | 237 | 0 | {"key": "ai2-adapt-dev/flan_v2_converted_85758", "ground_truth": "[{'instruction_id': ['keywords:palindrome'], 'kwargs': [None]}]", "dataset": "ifeval", "constraint_type": "multi", "constraint": "Include a palindrome in your response."} | |
ai2-adapt-dev/tulu_v3.9_aya_100k_13117 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "Sebelum sesuatu aktiviti dijalankan, kita perlulah _________nya terlebih dahulu. Your ENTIRE response should be in English language, no other language is allowed. In your response, all lowercase words should appear at most 2 times."}] | [] | <|startoftext|><|im_start|>user
Sebelum sesuatu aktiviti dijalankan, kita perlulah _________nya terlebih dahulu. Your ENTIRE response should be in English language, no other language is allowed. In your response, all lowercase words should appear at most 2 times.<|im_end|>
<|im_start|>assistant
| true | 1 | 0 | 0 | 60 | 0 | {"key": "ai2-adapt-dev/tulu_v3.9_aya_100k_13117", "ground_truth": "[{'instruction_id': ['language:response_language', 'count:lowercase_counting'], 'kwargs': [{'language': 'en'}, {'N': 2}]}]", "dataset": "ifeval", "constraint_type": "multi", "constraint": "Your ENTIRE response should be in English language, no other lan... | |
ai2-adapt-dev/tulu_v3.9_wildchat_100k_97913 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "Eine Katze ging... Copy the span of words that lies between (and including) index 16 and 17, the indices are character indices! Include a palindrome in your response."}] | [] | <|startoftext|><|im_start|>user
Eine Katze ging... Copy the span of words that lies between (and including) index 16 and 17, the indices are character indices! Include a palindrome in your response.<|im_end|>
<|im_start|>assistant
| true | 1 | 0 | 0 | 46 | 0 | {"key": "ai2-adapt-dev/tulu_v3.9_wildchat_100k_97913", "ground_truth": "[{'instruction_id': ['new:copy_span_idx', 'keywords:palindrome'], 'kwargs': [{'n_start': 16, 'n_end': 17, 'prompt_to_repeat': 'Eine Katze ging...'}, None]}]", "dataset": "ifeval", "constraint_type": "multi", "constraint": "Copy the span of words th... | |
ai2-adapt-dev/numinamath_tir_math_decontaminated_46004 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "Let $A$ be a real $n\\times n$ matrix satisfying $$ A+A^{\\text T}=I, $$ where $A^{\\text T}$ denotes the transpose of $A$ and $I$ the $n\\times n$ identity matrix. Show that $\\det A>0$ . In your response, words with all capital letters should appear less than 1 times."}] | [] | <|startoftext|><|im_start|>user
Let $A$ be a real $n\times n$ matrix satisfying $$ A+A^{\text T}=I, $$ where $A^{\text T}$ denotes the transpose of $A$ and $I$ the $n\times n$ identity matrix. Show that $\det A>0$ . In your response, words with all capital letters should appear less than 1 times.<|im_end... | true | 1 | 0 | 0 | 101 | 0 | {"key": "ai2-adapt-dev/numinamath_tir_math_decontaminated_46004", "ground_truth": "[{'instruction_id': ['change_case:capital_word_frequency'], 'kwargs': [{'capital_frequency': 1, 'capital_relation': 'less than'}]}]", "dataset": "ifeval", "constraint_type": "multi", "constraint": "In your response, words with all capita... | |
personas_math_easy_r07m5jobcxj7ytu7apchr9m7 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "A modern-day hunter-gatherer from an isolated tribe sets out to gather resources for the day. He decides to collect some fruits and hunt small animals to provide for his family. In the morning, he gathers 15 wild berries from the forest. Later, he catches 3 rabbits, each weighing 2 kilogra... | [] | <|startoftext|><|im_start|>user
A modern-day hunter-gatherer from an isolated tribe sets out to gather resources for the day. He decides to collect some fruits and hunt small animals to provide for his family. In the morning, he gathers 15 wild berries from the forest. Later, he catches 3 rabbits, each weighing 2 kilog... | true | 1 | 0 | 0 | 238 | 0 | {"key": "personas_math_easy_r07m5jobcxj7ytu7apchr9m7", "ground_truth": "[{'instruction_id': ['detectable_content:postscript', 'count:count_increment_word', 'length_constraints:nth_paragraph_first_word', 'language:response_language'], 'kwargs': [{'postscript_marker': 'Postscript:'}, {'keyword1': 'finger', 'keyword2': 'o... | |
ai2-adapt-dev/numinamath_tir_math_decontaminated_24053 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "Using stratified sampling, a sample of 55 students is selected from a high school to participate in a questionnaire survey. Among them, 10 students from the first year and 25 students from the second year are selected. If there are 400 students in the third year of the school, then the tot... | [] | <|startoftext|><|im_start|>user
Using stratified sampling, a sample of 55 students is selected from a high school to participate in a questionnaire survey. Among them, 10 students from the first year and 25 students from the second year are selected. If there are 400 students in the third year of the school, then the t... | true | 1 | 0 | 0 | 132 | 0 | {"key": "ai2-adapt-dev/numinamath_tir_math_decontaminated_24053", "ground_truth": "[{'instruction_id': ['count:lowercase_counting', 'count:count_increment_word', 'letters:letter_counting2'], 'kwargs': [{'N': 2}, {'keyword1': 'spare', 'keyword2': 'expert'}, {'letter': 'v', 'let_frequency': 6, 'let_relation': 'at least'}... | |
ai2-adapt-dev/evol_codealpaca_heval_decontaminated_30030 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "Design a sophisticated software tool aimed at enhancing the performance of 3D model files for swift game loading. This tool should not only compress the file size but also maintain the quality of the 3D model. It should be capable of processing multiple 3D model files simultaneously, even ... | [] | <|startoftext|><|im_start|>user
Design a sophisticated software tool aimed at enhancing the performance of 3D model files for swift game loading. This tool should not only compress the file size but also maintain the quality of the 3D model. It should be capable of processing multiple 3D model files simultaneously, eve... | true | 1 | 0 | 0 | 409 | 0 | {"key": "ai2-adapt-dev/evol_codealpaca_heval_decontaminated_30030", "ground_truth": "[{'instruction_id': ['keywords:exclude_word_harder'], 'kwargs': [{'keyword': 'their'}]}]", "dataset": "ifeval", "constraint_type": "multi", "constraint": "Do not include keyword their in the response."} | |
ai2-adapt-dev/numinamath_tir_math_decontaminated_49043 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "\nWe have a set of 221 real numbers whose sum is 110721. We arrange them to form a rectangle such that all rows and the first and last columns are arithmetic progressions with more than one element each. Prove that the sum of the elements at the four corners is 2004. Your answer must conta... | [] | <|startoftext|><|im_start|>user
We have a set of 221 real numbers whose sum is 110721. We arrange them to form a rectangle such that all rows and the first and last columns are arithmetic progressions with more than one element each. Prove that the sum of the elements at the four corners is 2004. Your answer must cont... | true | 1 | 0 | 0 | 125 | 0 | {"key": "ai2-adapt-dev/numinamath_tir_math_decontaminated_49043", "ground_truth": "[{'instruction_id': ['detectable_format:number_bullet_lists', 'keywords:word_once', 'detectable_content:postscript'], 'kwargs': [{'num_bullets': 1}, {'keyword': 'screw'}, {'postscript_marker': 'Postscript'}]}]", "dataset": "ifeval", "con... | |
ai2-adapt-dev/numinamath_tir_math_decontaminated_43007 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "What is the sum of the even, positive integers less than 62? In your response, the word show should appear less than 4 times. Include keyword let in your response."}] | [] | <|startoftext|><|im_start|>user
What is the sum of the even, positive integers less than 62? In your response, the word show should appear less than 4 times. Include keyword let in your response.<|im_end|>
<|im_start|>assistant
| true | 1 | 0 | 0 | 46 | 0 | {"key": "ai2-adapt-dev/numinamath_tir_math_decontaminated_43007", "ground_truth": "[{'instruction_id': ['keywords:frequency', 'keywords:word_once'], 'kwargs': [{'keyword': 'show', 'frequency': 4, 'relation': 'less than'}, {'keyword': 'let'}]}]", "dataset": "ifeval", "constraint_type": "multi", "constraint": "In your re... | |
personahub_lpigkoin6d521g78g8yzl8yl | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "A proud Siamese cat breeder has a cattery with a specific breeding plan to maximize genetic diversity while maintaining certain desirable traits. The breeder has 8 male and 12 female Siamese cats. Each cat has a unique genetic identifier represented by a 10-dimensional vector (a1, a2, ...,... | [] | <|startoftext|><|im_start|>user
A proud Siamese cat breeder has a cattery with a specific breeding plan to maximize genetic diversity while maintaining certain desirable traits. The breeder has 8 male and 12 female Siamese cats. Each cat has a unique genetic identifier represented by a 10-dimensional vector (a1, a2, ..... | true | 1 | 0 | 0 | 277 | 0 | {"key": "personahub_lpigkoin6d521g78g8yzl8yl", "ground_truth": "[{'instruction_id': ['punctuation:punctuation_exclamation'], 'kwargs': [None]}]", "dataset": "ifeval", "constraint_type": "multi", "constraint": "In your entire response, refrain from the use of ! (i.e. exclamation marks) as punctuation and in general."} | |
ai2-adapt-dev/flan_v2_converted_5224 | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "Given a sentence in Spanish, provide an equivalent paraphrased translation in German that retains the same meaning both through the translation and the paraphrase.\n\nLa gestión conjunta del memorial por parte de la Marina de los Estados Unidos y el Servicio de Parques Nacionales se fundó ... | [] | <|startoftext|><|im_start|>user
Given a sentence in Spanish, provide an equivalent paraphrased translation in German that retains the same meaning both through the translation and the paraphrase.
La gestión conjunta del memorial por parte de la Marina de los Estados Unidos y el Servicio de Parques Nacionales se fundó ... | true | 1 | 0 | 0 | 123 | 0 | {"key": "ai2-adapt-dev/flan_v2_converted_5224", "ground_truth": "[{'instruction_id': ['detectable_format:constrained_response', 'keywords:palindrome'], 'kwargs': [None, None]}]", "dataset": "ifeval", "constraint_type": "multi", "constraint": "Answer with one of the following options: ('My answer is yes.', 'My answer is... | |
personahub_4l1s63lnecn23x3pxfmn7n5u | allenai/IF_multi_constraints_upto5 | train | odc-by | [{"role": "user", "content": "As a PhD candidate researching the impact of digital currencies on global trade, you are analyzing the growth patterns of two different digital currencies, Currency A and Currency B, over the past few years. You find that the growth in value of Currency A can be modeled by the polynomial e... | [] | <|startoftext|><|im_start|>user
As a PhD candidate researching the impact of digital currencies on global trade, you are analyzing the growth patterns of two different digital currencies, Currency A and Currency B, over the past few years. You find that the growth in value of Currency A can be modeled by the polynomial... | true | 1 | 0 | 0 | 296 | 0 | {"key": "personahub_4l1s63lnecn23x3pxfmn7n5u", "ground_truth": "[{'instruction_id': ['detectable_format:title', 'keywords:word_count_different_numbers', 'last_word:last_word_sent', 'copy:repeat_phrase', 'punctuation:no_comma'], 'kwargs': [None, {'keyword': 'nature', 'frequency': 5, 'relation': 'at least'}, {'last_word'... |
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