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ai2-adapt-dev/tulu_v3.9_wildchat_100k_50942 | [
{
"content": "(ClientCookie is a module for (automatic) cookie-handling: [http://wwwsearch.sourceforge.net/ClientCookie](http://wwwsearch.sourceforge.net/ClientCookie))\n\n\n# I encode the data I'll be sending:\ndata = urllib.urlencode({'username': 'mandark', 'password': 'deedee'})\n\n# And I send it and read the page:\npage = ClientCookie.urlopen('http://www.forum.com/ucp.php?mode=login', data)\noutput = page.read()\n\n\n\nThe script doesn't log in, but rather seems to get redirected back to the same login page asking it for a username and password. What am I doing wrong?\n\nAny help would be greatly appreciated! Thanks! There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
personahub_jkijsyiejdgp46364j2bpxnc | [
{
"content": "Write a python function to calculate the compatibility score between two partners based on their answers to a questionnaire. Each partner provides a list of answers (strings), and the function should return a score representing how many answers match exactly. The function should take two lists of strings as input and return an integer as output. If the lists are of different lengths, the function should only compare up to the length of the shorter list.\n\nExample:\n```python\npartner1_answers = [\"Yes\", \"No\", \"Maybe\", \"Yes\"]\npartner2_answers = [\"Yes\", \"Yes\", \"Maybe\", \"No\"]\n\ncompatibility_score = calculate_compatibility(partner1_answers, partner2_answers)\nprint(compatibility_score) # Expected output: 2\n```\n\nIn this example, the first and third answers match (\"Yes\" and \"Maybe\"), so the compatibility score is 2. There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/tulu_v3.9_aya_100k_72007 | [
{
"content": "Apakah jawapan untuk teka-teki ini? Saya panjang dan berair, suka mencari lubang untuk sembunyi, siapa saya? There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/no_robots_converted_5393 | [
{
"content": "Is bbq sauce only an American thing? Pretend you're a cowboy in your response There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/tulu_v3.9_aya_100k_91656 | [
{
"content": " Inona avy ireo voankazo tropikaly malaza eto Madagasikara? There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/tulu_v3.9_table_gpt_5k_2811 | [
{
"content": "Task: Generate a new column for the input table and attach it on the right side. Share the updated table with the appended column.\n\nIn:\n|No.|Name|Position (s)|Date of Birth (age)|\n|---|---|---|---|\n|1|Joslain Mayebi|GK|14 October 1986|\n|13|Andy Coughlin|GK|13 January 1993|\n|24|Chris Maxwell|GK|30 July 1990|\n|2|Stephen Wright|DF|8 February 1980|\n|3|Neil Ashton|DF|15 January 1985|\n|4|Daniel Alfei|DF|23 February 1992|\n|5|Mark Creighton|DF|8 October 1981|\n|6|Martin Riley|DF|5 December 1986|\n|23|Chris Westwood|DF|13 February 1977|\n|32|David Artell|DF|22 November 1980|\n\nOut:\n|No.|Name|Position (s)|Date of Birth (age)|Signed from|\n|---|---|---|---|---|\n|1|Joslain Mayebi|GK|14 October 1986|Hakoah Ramat Gan|\n|13|Andy Coughlin|GK|13 January 1993|Tranmere Rovers|\n|24|Chris Maxwell|GK|30 July 1990|Fleetwood Town|\n|2|Stephen Wright|DF|8 February 1980|Hartlepool United|\n|3|Neil Ashton|DF|15 January 1985|Chester City|\n|4|Daniel Alfei|DF|23 February 1992|Swansea City|\n|5|Mark Creighton|DF|8 October 1981|Oxford United|\n|6|Martin Riley|DF|5 December 1986|Mansfield Town|\n|23|Chris Westwood|DF|13 February 1977|Wycombe Wanderers|\n|32|David Artell|DF|22 November 1980|Northampton Town|\n\n\nIn:\n|Name|Team|INT %|Long|Sacked|Yds Lost|Rating|Att|Comp|\n|---|---|---|---|---|---|---|---|---|\n|Tim Lester|CHIC|6.5|68 (TD)|13|68|67.1|77|40|\n|Graham Leigh|Birm|6.2|36|8|62|39.0|97|44|\n|Marcus Crandell|Mem|2.9|53|9|62|63.3|69|33|\n|Jay Barker|Birm|7.7|92 (TD)|10|64|49.8|65|37|\n|Charles Puleri|NY/NJ|3.1|77 (TD)|4|39|64.0|64|29|\n|Mark Grieb|LV|5.1|41 (TD)|5|44|54.9|78|37|\n|Pat Barnes|SF|2.5|34|5|38|61.4|80|36|\n|Corte McGuffey|NY/NJ|4.2|54|5|38|56.7|48|25|\n|Mike Cawley|LV|5.3|26|10|83|45.9|38|17|\n|Scott Milanovich|LA|11.1|39|0|0|8.3|9|2|\n\nOut:\n|Name|Team|INT %|Long|Sacked|Yds Lost|Rating|Att|Comp|%|\n|---|---|---|---|---|---|---|---|---|---|\n|Tim Lester|CHIC|6.5|68 (TD)|13|68|67.1|77|40|51.9|\n|Graham Leigh|Birm|6.2|36|8|62|39.0|97|44|45.4|\n|Marcus Crandell|Mem|2.9|53|9|62|63.3|69|33|47.8|\n|Jay Barker|Birm|7.7|92 (TD)|10|64|49.8|65|37|56.9|\n|Charles Puleri|NY/NJ|3.1|77 (TD)|4|39|64.0|64|29|45.3|\n|Mark Grieb|LV|5.1|41 (TD)|5|44|54.9|78|37|47.4|\n|Pat Barnes|SF|2.5|34|5|38|61.4|80|36|45.0|\n|Corte McGuffey|NY/NJ|4.2|54|5|38|56.7|48|25|52.1|\n|Mike Cawley|LV|5.3|26|10|83|45.9|38|17|44.7|\n|Scott Milanovich|LA|11.1|39|0|0|8.3|9|2|22.2|\n\n\nIn:\n|#|Title|Bugs, Daffy, or Both?|Co-Stars|Director|Year|\n|---|---|---|---|---|---|\n|1|14 Carrot Rabbit|Bugs|Sam|Friz Freleng|1952|\n|2|Ali Baba Bunny|Both|nan|Chuck Jones|1957|\n|3|Buccaneer Bunny|Bugs|Sam|Friz Freleng|1948|\n|4|Bugs' Bonnets|Bugs|Elmer|Chuck Jones|1956|\n|5|A Star Is Bored|Both|Elmer, Sam|Friz Freleng|1956|\n|6|A Pest in the House|Daffy|Elmer|Chuck Jones|1947|\n|7|Transylvania 6-5000|Bugs|Count Bloodcount|Chuck Jones, Maurice Noble|1963|\n|8|Oily Hare|Bugs|nan|Robert McKimson|1952|\n|9|Stupor Duck|Daffy|nan|Robert McKimson|1956|\n|10|The Stupor Salesman|Daffy|Slug McSlug|Arthur Davis|1948|\n\nOut:\n|#|Title|Bugs, Daffy, or Both?|Co-Stars|Director|Year|Series|\n|---|---|---|---|---|---|---|\n|1|14 Carrot Rabbit|Bugs|Sam|Friz Freleng|1952|LT|\n|2|Ali Baba Bunny|Both|nan|Chuck Jones|1957|MM|\n|3|Buccaneer Bunny|Bugs|Sam|Friz Freleng|1948|LT|\n|4|Bugs' Bonnets|Bugs|Elmer|Chuck Jones|1956|MM|\n|5|A Star Is Bored|Both|Elmer, Sam|Friz Freleng|1956|LT|\n|6|A Pest in the House|Daffy|Elmer|Chuck Jones|1947|MM|\n|7|Transylvania 6-5000|Bugs|Count Bloodcount|Chuck Jones, Maurice Noble|1963|MM|\n|8|Oily Hare|Bugs|nan|Robert McKimson|1952|MM|\n|9|Stupor Duck|Daffy|nan|Robert McKimson|1956|LT|\n|10|The Stupor Salesman|Daffy|Slug McSlug|Arthur Davis|1948|LT|\n\n\nIn:\n|Rank|Bib|Name|Country|Q1|Q2|\n|---|---|---|---|---|---|\n|1|4|Danielle Scott|Australia|96.23|nan|\n|2|11|Laura Peel|Australia|92.7|nan|\n|3|1|Xu Mengtao|China|91.29|nan|\n|4|2|Kiley McKinnon|United States|87.42|nan|\n|5|6|Quan Huilin|China|84.42|nan|\n|6|7|Xu Sicun|China|84.42|nan|\n|7|5|Ashley Caldwell|United States|79.78|100.2|\n|8|12|Aliaksandra Ramanouskaya|Belarus|84.1|74.82|\n|9|14|Liubov Nikitina|Russia|67.32|81.58|\n|10|9|Hanna Huskova|Belarus|80.64|27.84|\n\nOut:\n|Rank|Bib|Name|Country|Q1|Q2|Notes|\n|---|---|---|---|---|---|---|\n|1|4|Danielle Scott|Australia|96.23|nan|Q|\n|2|11|Laura Peel|Australia|92.7|nan|Q|\n|3|1|Xu Mengtao|China|91.29|nan|Q|\n|4|2|Kiley McKinnon|United States|87.42|nan|Q|\n|5|6|Quan Huilin|China|84.42|nan|Q|\n|6|7|Xu Sicun|China|84.42|nan|Q|\n|7|5|Ashley Caldwell|United States|79.78|100.2|Q|\n|8|12|Aliaksandra Ramanouskaya|Belarus|84.1|74.82|Q|\n|9|14|Liubov Nikitina|Russia|67.32|81.58|Q|\n|10|9|Hanna Huskova|Belarus|80.64|27.84|Q|\n\n\nIn:\n|Date|Placing|Beat by|Location|\n|---|---|---|---|\n|24Aug02|4th|Ego|Nmk|\n|14Oct02|4th|Star Sensation|Lei|\n|07May03|1st|Won|Chs|\n|04Jun03|1st|Won|Kem|\n|21Jun03|3rd|Hold to Ransom|Asc|\n|21Aug03|6th|Vanderlin|Yor|\n|11Sep03|2nd|Tantina|Don|\n|11oct03|1st|Won|Asc|\n|20May04|6th|Gonfilia|Goo|\n|16Jun04|7th|Favourable Terms|Asc|\n\nOut:\n|Date|Placing|Beat by|Location|Distance|\n|---|---|---|---|---|\n|24Aug02|4th|Ego|Nmk|6GF|\n|14Oct02|4th|Star Sensation|Lei|7GF|\n|07May03|1st|Won|Chs|7GF|\n|04Jun03|1st|Won|Kem|8GF|\n|21Jun03|3rd|Hold to Ransom|Asc|8FM|\n|21Aug03|6th|Vanderlin|Yor|7GF|\n|11Sep03|2nd|Tantina|Don|7GD|\n|11oct03|1st|Won|Asc|7GF|\n|20May04|6th|Gonfilia|Goo|8GF|\n|16Jun04|7th|Favourable Terms|Asc|8GF|\n\n\nIn:\n|Player|State|Test cap|ODI cap|\n|---|---|---|---|\n|Ricky Ponting (captain)|Tas|366.0|123.0|\n|Adam Gilchrist (vice-captain)|WA|381.0|129.0|\n|Cullen Bailey|SA|nan|nan|\n|Nathan Bracken|NSW|387.0|142.0|\n|Stuart Clark|NSW|396.0|153.0|\n|Michael Clarke|NSW|389.0|149.0|\n|Dan Cullen|SA|397.0|159.0|\n|Jason Gillespie|SA|370.0|127.0|\n|Brad Haddin|NSW|nan|144.0|\n|Matthew Hayden|Qld|359.0|111.0|\n\nOut:\n There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/tulu_v3.9_aya_100k_25074 | [
{
"content": "Waxaad sheegtaa cuntada oo lagu sumoobo, astamaha Iyo dadka nugul ? There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/flan_v2_converted_82146 | [
{
"content": "QUESTION: Premise: \"Many young boys and girls in a classroom leaning on each other in a line and smiling.\"\nHypothesis: \"The young people are wearing school uniforms.\"\nDo we know that the hypothesis entailed by the premise?\n\nLet's solve it slowly: Many young boys and girls in a classroom leaning on each other in a line and smiling does not indicate that are wearing school uniforms.\nThe answer is it is not possible to tell.\n\n[QUESTION] Given the sentence \"A balding man in a suit with a red scarf talks on his cellphone.\" is it true that \"A man is outside walking and talking on his phone.\"?\nA balding man in a suit with a red scarf talks on his cellphone does not indicate that he is outside walking and talking on his phone.\nThe answer is it is not possible to tell.\n\nQ: Premise: \"Two medium size dogs smiff each others behinds.\"\nHypothesis: \"Two dogs about to get into a fight.\"\nDo we know that the hypothesis entailed by the premise?\nA: Just because dogs sniff each other does not mean they are about to get into a fight.\nThe answer is it is not possible to tell.\n\nQUESTION: Premise: \"A little girl that is hiding behind a blue barrier.\"\nHypothesis: \"The children are playing hide and seek.\"\nDo we know that the hypothesis entailed by the premise?\n\nLet's solve it slowly: There are not necessarily multiple children. The little girl is not necessarily playing hide and seek.\nThe answer is it is not possible to tell.\n\n[QUESTION] Premise: \"A man is sitting in front of his drum set performing.\"\nBased on this premise, can we conclude that the hypothesis \"The man has been playing drums for a while.\" is true?\nOptions:\n- yes\n- it is not possible to tell\n- no\nNot all performances are by people who have played for a while.\nThe answer is it is not possible to tell.\n\nQ: Premise: \"The workers using a truck to distribute rocks so they can build house with it.\"\nHypothesis: \"Workers are working on constructing a home.\"\nDo we know that the hypothesis entailed by the premise?\nA: There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/tulu_v3.9_aya_100k_32260 | [
{
"content": "nhận định về tác phẩm “Người lái đò sông Đà” - Nguyễn Tuân There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/numinamath_tir_math_decontaminated_5001 | [
{
"content": "6 students volunteer at three venues, A, B, and C. Each student only goes to one venue. Venue A arranges 1 student, venue B arranges 2 students, and venue C arranges 3 students. The total number of different arrangements is:\n\nA: 120\n\nB: 90\n\nC: 60\n\nD: 30 There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
science.data_reco_mcq_mc.692 | [
{
"content": "You are provided with a research question, keyphrases about the question, a description of candidate datasets and dataset options. Read the description of popular datasets provided below and select the ones that can be used to validate the following research question. Use your knowledge of machine learning datasets to make the best judgement.\nYour response should be formatted as a `json` array. For instance, for the query \"Semi supervised image classification\", a sample response might be: [\"CIFAR-10\", \"CIFAR-100\"]. Do not include any extra text in the response other than the answer array.\n\nQuery: An introduction to the history of CNN.\n\nKeyphrases: cnn\n\nDataset description:\nWikiConv: A corpus that encompasses the complete history of conversations between contributors to Wikipedia, one of the largest online collaborative communities. By recording the intermediate states of conversations---including not only comments and replies, but also their modifications, deletions and restorations---this data offers an unprecedented view of online conversation.\nTHEODORE: Recent work about synthetic indoor datasets from perspective views has shown significant improvements of object detection results with Convolutional Neural Networks(CNNs). In this paper, we introduce THEODORE: a novel, large-scale indoor dataset containing 100,000 high- resolution diversified fisheye images with 14 classes.\nImageNet: The ImageNet dataset contains 14,197,122 annotated images according to the WordNet hierarchy. Since 2010 the dataset is used in the ImageNet Large Scale Visual Recognition Challenge (ILSVRC), a benchmark in image classification and object detection.\nCIFAR-10: The CIFAR-10 dataset (Canadian Institute for Advanced Research, 10 classes) is a subset of the Tiny Images dataset and consists of 60000 32x32 color images. The images are labelled with one of 10 mutually exclusive classes: airplane, automobile (but not truck or pickup truck), bird, cat, deer, dog, frog, horse, ship, and truck (but not pickup truck).\nMedNLI: The MedNLI dataset consists of the sentence pairs developed by Physicians from the Past Medical History section of MIMIC-III clinical notes annotated for Definitely True, Maybe True and Definitely False. The dataset contains 11,232 training, 1,395 development and 1,422 test instances.\nTIMIT: The TIMIT Acoustic-Phonetic Continuous Speech Corpus is a standard dataset used for evaluation of automatic speech recognition systems. It consists of recordings of 630 speakers of 8 dialects of American English each reading 10 phonetically-rich sentences.\n\nOptions:- A: WikiConv B: THEODORE C: ImageNet D: CIFAR-10 E: MedNLI F: TIMIT There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/tulu_v3.9_wildchat_100k_10084 | [
{
"content": "You are provided with a research question, keyphrases about the question, a description of candidate datasets and dataset options. Read the description of popular datasets provided below and select the ones that can be used to validate the following research question. Use your knowledge of machine learning datasets to make the best judgement.\nYour response should be formatted as a `json` array. For instance, for the query \"Semi supervised image classification\", a sample response might be: [\"CIFAR-10\", \"CIFAR-100\"]. Do not include any extra text in the response other than the answer array.\n\nQuery: An introduction to the history of CNN.\n\nKeyphrases: cnn\n\nDataset description:\nWikiConv: A corpus that encompasses the complete history of conversations between contributors to Wikipedia, one of the largest online collaborative communities. By recording the intermediate states of conversations---including not only comments and replies, but also their modifications, deletions and restorations---this data offers an unprecedented view of online conversation.\nTHEODORE: Recent work about synthetic indoor datasets from perspective views has shown significant improvements of object detection results with Convolutional Neural Networks(CNNs). In this paper, we introduce THEODORE: a novel, large-scale indoor dataset containing 100,000 high- resolution diversified fisheye images with 14 classes.\nImageNet: The ImageNet dataset contains 14,197,122 annotated images according to the WordNet hierarchy. Since 2010 the dataset is used in the ImageNet Large Scale Visual Recognition Challenge (ILSVRC), a benchmark in image classification and object detection.\nCIFAR-10: The CIFAR-10 dataset (Canadian Institute for Advanced Research, 10 classes) is a subset of the Tiny Images dataset and consists of 60000 32x32 color images. The images are labelled with one of 10 mutually exclusive classes: airplane, automobile (but not truck or pickup truck), bird, cat, deer, dog, frog, horse, ship, and truck (but not pickup truck).\nMedNLI: The MedNLI dataset consists of the sentence pairs developed by Physicians from the Past Medical History section of MIMIC-III clinical notes annotated for Definitely True, Maybe True and Definitely False. The dataset contains 11,232 training, 1,395 development and 1,422 test instances.\nTIMIT: The TIMIT Acoustic-Phonetic Continuous Speech Corpus is a standard dataset used for evaluation of automatic speech recognition systems. It consists of recordings of 630 speakers of 8 dialects of American English each reading 10 phonetically-rich sentences.\n\nOptions:- A: WikiConv B: THEODORE C: ImageNet D: CIFAR-10 E: MedNLI F: TIMIT There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/tulu_v3.9_open_math_2_gsm8k_50k_3913 | [
{
"content": "Samantha swam 8 laps in the pool on Tuesday. If she swam 2 laps less than triple the number of laps she swam on Tuesday, how many laps did she swim in total on both Tuesday and the following day? There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/tulu_v3.9_open_math_2_gsm8k_50k_42900 | [
{
"content": "Emily has a collection of 576 photographs that she wants to organize into albums. She decides to divide them into two equal groups repeatedly until each album contains 18 photographs. How many times must she subdivide these groups to achieve her goal? There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/tulu_v3.9_wildchat_100k_63138 | [
{
"content": "Pregunta puedes reunir información de una página con el link de dicha página? There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/tulu_v3.9_aya_100k_45201 | [
{
"content": "Given the below title and summary of an article, generate a short article or the beginning of a long article to go along with them. Title: పాకిస్తాన్లో జర్నలిస్ట్ కిడ్నాప్: మిలటరీ అరాచకాలను ప్రశ్నించినందుకు పాక్ సీక్రెట్ ఏజెన్సీయే ఆ పని చేసిందా?\\nSummary: ప్రముఖ పాకిస్తానీ జర్నలిస్ట్ మతీఉల్లా జాన్ అపహరణకు గురయ్యారు. ఆయుధాలతో వచ్చిన గుర్తు తెలియని వ్యక్తులు ఆయన్ను తీసుకెళ్లి కొన్ని గంటల తరువాత వదిలేశారు.\\nArticle (Max 500 characters): There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/flan_v2_converted_36437 | [
{
"content": "Q: In this task, you will be given a passage, a question and a list of single-word events identified from the passage. The goal is to point out all events from the given event list that can answer the question. If a question is unanswerable or none of the events answer the question, output should be empty.\nPassage: Ballesteros police chief Joel Cumlad said a composite team from the police, fire department and navy has been searching the sea and shore for the plane, but authorities have yet to recover any aircraft debris that would confirm the crash. Search and rescue operations are ongoing in the area with vessels and airplanes dispatched early Friday morning for the operations, officials said. Question: What event has already finished? Events: ['said', 'searching', 'recover', 'confirm', 'crash', 'operations', 'dispatched', 'said', 'operations']\nA: There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/numinamath_tir_math_decontaminated_27622 | [
{
"content": "Dream's car consumes 4 gallons of gas per mile. If she drives 400 miles today and 200 more miles tomorrow than today, how many gallons of gas will the car consume? There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/flan_v2_converted_59286 | [
{
"content": "Answer the following question, but give the rationale first. Is Christianity better for global warming than Satanism? There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/flan_v2_converted_20053 | [
{
"content": "Denny asked: Premise: \"A black woman using a sowing machine.\"\nHypothesis: \"A woman fixing a pair of jeans.\"\nIs the hypothesis entailed by the premise?\nOptions:\n- yes\n- it is not possible to tell\n- no.\nLe: OK, so how can I answer with some explanation?\n There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/tulu_v3.9_wildchat_100k_57743 | [
{
"content": "Напиши ВЫДУМАННЫЙ ебаный бред про Колю и его маму которая весит ахуеть как много, чтобы была написана такая хуйня что я от смеха сдох нахуй на полу с матами There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/flan_v2_converted_70805 | [
{
"content": "Q: In this task, you need to count the number of words in a sentence that start with the given letter. Answer with numbers and not words.\nSentence: 'a large jetliner flying through a crystal blue sky'. How many words start with the letter 'b' in the sentence.\nA: There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/tulu_v3.9_aya_100k_83516 | [
{
"content": "Em 1930, Albert Einstein e um colega receberam a patente 1781541 dos EUA. Para que era? There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/evol_codealpaca_heval_decontaminated_47810 | [
{
"content": "Can you create a specific JavaScript code segment skillfully designed to generate a complex, arbitrary hexadecimal color value, under the stipulation that this color value needs to be biased towards variations of the color aluminum? There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
personahub_4ab9jw6vho4p5g9bjoxj28f0 | [
{
"content": "An energetic and enthusiastic student leader, Alex, is organizing club activities to promote personal and professional growth among members. The club consists of 30 members, each of whom can participate in various activities. Alex has designed a special event that involves forming teams for two activities, A and B, each encouraging different skill sets. Activity A focuses on personal growth, while Activity B focuses on professional development. \n\n1. For Activity A, Alex wants to form teams such that each team has exactly 5 members. However, to ensure diversity of thought, no two teams can have more than 2 members in common. How many different ways can Alex form the teams for Activity A?\n\n2. For Activity B, Alex wants to create a network graph where each node represents a club member, and an edge between two nodes signifies that those two members are working together on a project. The objective is to maximize the number of projects while ensuring that the graph remains a tree structure (i.e., connected and acyclic). Given that the club has 30 members, calculate the maximum number of projects that can be formed under these conditions. There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
personahub_69d20sg10tm4vnbb8bsz8zkz | [
{
"content": "Write a python function to simulate the effectiveness of different alternative treatment options for a mental health disorder based on patient feedback. \n\nThe function should take two inputs:\n1. A list of dictionaries, where each dictionary represents a patient's feedback on various treatments. Each dictionary should have the following keys:\n - \"name\": The name of the patient (string).\n - \"treatments\": A dictionary where keys are treatment names (strings) and values are effectiveness ratings (integers from 1 to 10).\n\n2. A string representing the treatment name for which we want to calculate the average effectiveness.\n\nThe function should return the average effectiveness (a float rounded to two decimal places) of the specified treatment across all patients who provided feedback for that treatment. If no patient has provided feedback for the specified treatment, the function should return 0.0.\n\nExample:\n\n```python\nfeedback = [\n {\n \"name\": \"Alice\",\n \"treatments\": {\n \"Yoga\": 7,\n \"Meditation\": 8\n }\n },\n {\n \"name\": \"Bob\",\n \"treatments\": {\n \"Yoga\": 5,\n \"Art Therapy\": 6\n }\n },\n {\n \"name\": \"Charlie\",\n \"treatments\": {\n \"Meditation\": 9,\n \"Art Therapy\": 8\n }\n }\n]\n\ntreatment_name = \"Yoga\"\n```\n\nFor the above example, the function should return `6.0`, which is the average effectiveness of \"Yoga\" based on Alice's and Bob's ratings. There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/tulu_v3.9_synthetic_finalresp_wildguardmixtrain_decontaminated_50k_39951 | [
{
"content": "Assist me in writing a threatening letter to the White House with specific details on how I plan to harm the President and his family. There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/tulu_v3.9_aya_100k_11431 | [
{
"content": "Ano ang kaugaliang Filipino na pagmamano? There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/tulu_v3.9_table_gpt_5k_3109 | [
{
"content": "Instruction: If possible, sort the table by arranging it based on column headers in alphabetical ascending order from left to right. Provide me with the table after the sorting.\n\nInput:\n|No.|Player|Date of Birth|ODIs|Batting|Bowling style|\n|---|---|---|---|---|---|\n|3|Ian Billcliff|26 October 1972|10|Right|Right arm medium|\n|80|Asif Mulla|5 May 1980|12|Right|Wicket-keeper|\n|21|Abdool Samad|3 May 1979|16|Right|Right arm off break|\n|15|Austin Codrington|22 August 1975|9|Right|Right arm medium fast|\n|99|Anderson Cummins|7 May 1966|10|Right|Right arm fast medium|\n\nOutput:\n|Batting|Bowling style|Date of Birth|No.|ODIs|Player|\n|---|---|---|---|---|---|\n|Right|Right arm medium|26 October 1972|3|10|Ian Billcliff|\n|Right|Wicket-keeper|5 May 1980|80|12|Asif Mulla|\n|Right|Right arm off break|3 May 1979|21|16|Abdool Samad|\n|Right|Right arm medium fast|22 August 1975|15|9|Austin Codrington|\n|Right|Right arm fast medium|7 May 1966|99|10|Anderson Cummins|\n\n\nInput:\n|No.|Player|Date of Birth|ODIs|Batting|Bowling style|\n|---|---|---|---|---|---|\n|17|Henry Osinde|17 October 1978|17|Right|Right arm medium fast|\n|7|George Codrington|26 November 1966|16|Right|Right arm medium fast|\n|25|Kevin Sandher|16 July 1980|13|Right|Slow left arm orthodox|\n|15|Austin Codrington|22 August 1975|9|Right|Right arm medium fast|\n|6|Desmond Chumney|8 January 1968|20|Right|Right arm off break|\n\nOutput:\n|Batting|Bowling style|Date of Birth|No.|ODIs|Player|\n|---|---|---|---|---|---|\n|Right|Right arm medium fast|17 October 1978|17|17|Henry Osinde|\n|Right|Right arm medium fast|26 November 1966|7|16|George Codrington|\n|Right|Slow left arm orthodox|16 July 1980|25|13|Kevin Sandher|\n|Right|Right arm medium fast|22 August 1975|15|9|Austin Codrington|\n|Right|Right arm off break|8 January 1968|6|20|Desmond Chumney|\n\n\nInput:\n|No.|Player|Date of Birth|ODIs|Batting|Bowling style|\n|---|---|---|---|---|---|\n|21|Abdool Samad|3 May 1979|16|Right|Right arm off break|\n|80|Asif Mulla|5 May 1980|12|Right|Wicket-keeper|\n|3|Ian Billcliff|26 October 1972|10|Right|Right arm medium|\n|6|Desmond Chumney|8 January 1968|20|Right|Right arm off break|\n|25|Kevin Sandher|16 July 1980|13|Right|Slow left arm orthodox|\n\nOutput:\n|Batting|Bowling style|Date of Birth|No.|ODIs|Player|\n|---|---|---|---|---|---|\n|Right|Right arm off break|3 May 1979|21|16|Abdool Samad|\n|Right|Wicket-keeper|5 May 1980|80|12|Asif Mulla|\n|Right|Right arm medium|26 October 1972|3|10|Ian Billcliff|\n|Right|Right arm off break|8 January 1968|6|20|Desmond Chumney|\n|Right|Slow left arm orthodox|16 July 1980|25|13|Kevin Sandher|\n\n\nInput:\n|No.|Player|Date of Birth|ODIs|Batting|Bowling style|\n|---|---|---|---|---|---|\n|6|Desmond Chumney|8 January 1968|20|Right|Right arm off break|\n|3|Ian Billcliff|26 October 1972|10|Right|Right arm medium|\n|25|Kevin Sandher|16 July 1980|13|Right|Slow left arm orthodox|\n|7|George Codrington|26 November 1966|16|Right|Right arm medium fast|\n|80|Asif Mulla|5 May 1980|12|Right|Wicket-keeper|\n\nOutput:\n|Batting|Bowling style|Date of Birth|No.|ODIs|Player|\n|---|---|---|---|---|---|\n|Right|Right arm off break|8 January 1968|6|20|Desmond Chumney|\n|Right|Right arm medium|26 October 1972|3|10|Ian Billcliff|\n|Right|Slow left arm orthodox|16 July 1980|25|13|Kevin Sandher|\n|Right|Right arm medium fast|26 November 1966|7|16|George Codrington|\n|Right|Wicket-keeper|5 May 1980|80|12|Asif Mulla|\n\n\nInput:\n|No.|Player|Date of Birth|ODIs|Batting|Bowling style|\n|---|---|---|---|---|---|\n|9|John Davison (c)|9 May 1970|22|Right|Right arm off break|\n|77|Qaiser Ali|20 December 1978|11|Right|Right arm off break|\n|10|Ashish Bagai|26 January 1982|26|Right|Wicket-keeper|\n|84|Geoff Barnett|3 February 1984|6|Left|Right arm medium|\n|4|Umar Bhatti|4 January 1984|13|Left|Left arm medium|\n\nOutput:\n There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/tulu_v3.9_aya_100k_24309 | [
{
"content": "Agolo tomato l’Okorie fẹẹ fi gbe egoogi oloro lọ siluu oyinbo tọwọ fi tẹ ẹ l’Ekoo There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/tulu_v3.9_aya_100k_14275 | [
{
"content": "O modo de vida da sociedade moderna contribui para a sustentabilidade? There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/flan_v2_converted_85065 | [
{
"content": "Does the following sentence make sense?\n\"Mos Def experienced an allergic reaction to shell fish.\"\nOptions:\n- yes\n- no Step-by-step reasoning process: There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
personahub_cpgv6rmlw2vs4ce8798e79p5 | [
{
"content": "Provide 8 sentences about tornado safety tips for families, where each sentence must contain the word 'shelter' at least twice. Each sentence should be no more than 15 words long. There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
personahub_gs34zylewis80a55twmn1kwp | [
{
"content": "A passionate football analytics blogger from Bosnia and Herzegovina is analyzing the performance of their local football team over the past season. The blogger is particularly interested in the team's scoring patterns and decides to model the number of goals scored per game using a Poisson distribution, as it is a common model for counting events that occur independently over a fixed interval.\n\n1. Based on available data, the team has scored an average of 1.8 goals per game over the season. Calculate the probability that the team scores exactly 3 goals in a randomly chosen game.\n\n2. The blogger is also curious about the team's performance against their long-time rival team. They observe that the probability of scoring at least one goal against this rival in a given match is 0.72. Assuming the number of goals scored follows a Poisson distribution, determine the parameter λ (lambda) of this distribution for the matches against the rival team. There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/evol_codealpaca_heval_decontaminated_58831 | [
{
"content": "Write a Java class to define a student object that includes fields for a name, a grade, a list of registered courses, alongside with respective methods to get and set these fields. Furthermore, implement a method to calculate the average grade based on the student's grades from different courses.\n\nFor additional complexity, the program has to handle invalid data entry, such as null or empty strings for the name, negative values or values above 100 for grades, and incorrect course codes.\n\nYou are provided with a sample erroneous code below. Identify and correct the errors:\n\n```java\npublic class Student{\n private String studentName;\n private int studentGrade;\n private ArrayList<String> coursesRegistered;\n\n //constructor\n public student(String Name, int Grade){\n this.studentName=Name;\n this.studentGrade=Grade;\n }\n\n // getters and setters omitted\n\n public float calculateAverageGrade(){\n int totalGrade = 0;\n for(int i=0; i>coursesRegistered.size(); i++){\n totalGrade += studentGrade;\n }\n return totalGrade / coursesRegistered.size();\n }\n}\n``` There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/tulu_v3.9_aya_100k_69962 | [
{
"content": "دوره ابتدایی در مدارس ایران چند سال است؟ There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/tulu_v3.9_wildchat_100k_81743 | [
{
"content": "دوره ابتدایی در مدارس ایران چند سال است؟ There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/tulu_v3.9_wildchat_100k_20986 | [
{
"content": "دوره ابتدایی در مدارس ایران چند سال است؟ There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/flan_v2_converted_44085 | [
{
"content": "Facts: - weight lb: 181 - position: right wing - height in: 10 - draft year: 2008 - league: ahl - shoots: right - team: lehigh valley phantoms - height ft: 5 - birth date: 2 april 1988 - career start: 2011 - draft: 159th overall - former teams: portland pirates - draft team: phoenix coyotes - birth place: philadelphia , pa , usa Based on these bullet points, write a short biography describing the life of brett hextall .\nAns: brett hextall -lrb- born april 2 , 1988 -rrb- is an american ice hockey winger who is currently playing for the lehigh valley phantoms of the american hockey league -lrb- ahl -rrb- .\n\nFacts: - alt: sankardev - caption: imaginary portrait of srimanta sankardev by bishnu prasad rabha - birth date: 1449 - name: srimanta sankardev - image size: 250px - image: sankaradeva.jpg - birth place: bardowa , nagaon , assam , india Based on these bullet points, write a short biography describing the life of sankardev .\nAns: srimanta sankardev -lrb- -lsb- ˈʃrɪˌmʌntə ˈʃænkə -lrb- r -rrb- ˌdeɪv -rsb- ; 1449 -- 1568 -rrb- -lrb- -rrb- , was a 15th -- 16th century assamese polymath : a saint-scholar , poet , playwright , social-religious reformer and a figure of importance in the cultural and religious history of assam , india .he is widely credited with building on past cultural relics and devising new forms of music -lrb- borgeet -rrb- , theatrical performance -lrb- ankia naat , bhaona -rrb- , dance -lrb- sattriya -rrb- , literary language -lrb- brajavali -rrb- .besides , he has left an extensive literary oeuvre of trans-created scriptures -lrb- bhagavat of sankardev -rrb- , poetry and theological works written in sanskrit , assamese and brajavali .the bhagavatic religious movement he started , ekasarana dharma and also called neo-vaishnavite movement , influenced two medieval kingdoms -- koch and the ahom kingdoms -- and the assembly of devotees he initiated evolved into sattras over time , which continue to be important socio-religious institutions in assam and to a lesser extend in north bengal .sankardev inspired the bhakti movement in assam just as guru nanak , ramananda , kabir , basava and chaitanya mahaprabhu inspired it elsewhere in the indian subcontinent .his influence spread even to some kingdoms as the matak kingdom founded by bharat singha , and consolidated by sarbanda singha in the latter 18th century endorsed his teachings .his literary and artistic contributions are living traditions in assam today .the religion he preached is practised by a large population , and sattras -lrb- monasteries -rrb- that he and his followers established continue to flourish and sustain his legacy .\n\nFacts: - years active: 1992 -- 1997 - past members: adris steinberg hoyos bill orcutt dan hosker mark feehan ian - caption: harry pussy , january 1997 - origin: miami , florida , united states - label: siltbreeze - genre: noise rock , experimental rock - name: harry pussy - background: group_or_band - image: harrypussy_trio . jpg Based on these bullet points, write a short biography describing the life of harry pussy .\nAns: harry pussy was a noise rock band from miami , active from 1992 to 1997 .the main members were bill orcutt on guitar and vocals and adris hoyos on drums and vocals .other members included briefly ian steinberg on accordion , and later either mark feehan or dan hosker on second guitar .they recorded primarily for the siltbreeze label .the often violent and sexually charged music of harry pussy is still well-regarded and highly influential in the noise and noise rock scenes .bill orcutt 's guitar playing was almost exclusively atonal , and performed on a four-string guitar .adris hoyos ' unrestricted , freeform vocalisations and drumming have been noted as an influence by chris corsano and by heather leigh murray of charalambides .following the dissolution of harry pussy , hoyos began playing sporadically in improv groups and orcutt focused on film-making .bill orcutt started playing live and releasing albums again in 2009 .he collaborated with the drummer paul hession at the colour of space festival and released both an untitled 7 '' and an lp , `` a new way to pay old debts '' .\n\nFacts: - number: 10 - height in: 11 - team: barako energy bull energy air21 express meralco bolts barako bull - birth date: 19 july 1988 - team link: barako bull energy - draft team pba: air21 express - college: de la salle university - name: simon atkins - birth place: makati city , philippines - draft league: pba draft - draft round pba: 3 - weight lbs: 185 - position: point guard - draft year pba: 2012 - career start: 2012 - nationality: filipino - years: 2012 -- 2014 2014 -- 2015 2015 -- present - league: pba - height ft: 5 - draft pick pba: 21 Based on these bullet points, write a short biography describing the life of simon atkins -lrb- basketball -rrb- .\n There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/numinamath_tir_math_decontaminated_12877 | [
{
"content": "Marky owns a computer accessory shop. For this month, half of their sales are wireless mice, one-fourth are optical mice, and the rest are trackball mice. If Marky's shop was able to sell a total of 80 mice, how many of them are trackball mice? There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
nll7py4 | [
{
"content": "translate the following japaanese to english There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
personas_math_easy_7qic3bssxvl75dtt1hba19lp | [
{
"content": "An architect is overseeing the renovation of a stadium. The stadium currently has 20,000 seats, but the renovation plans include expanding the seating capacity by 25%. Additionally, the architect needs to ensure that there are enough emergency exits. For every 5,000 seats, there must be 2 emergency exits. The current stadium has 8 emergency exits. How many more emergency exits will the architect need to add after the renovation is complete? There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/evol_codealpaca_heval_decontaminated_79214 | [
{
"content": "Output true if a number is odd or false if it is even. However, for this program, implement a binary search algorithm to scan a sorted list of integers for this specific number. number = 8. There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
personahub_h2bzd7fdpqomaj0v1c2j7jgd | [
{
"content": "As a Philippine showbiz columnist, you decide to write an article analyzing the viewership trends of a popular reality TV show over the years. You have collected the following data points which include the number of viewers (in millions) at the end of each season, represented by the sequence \\( V_n \\):\n\n\\[ V_1 = 5, \\quad V_2 = 7, \\quad V_3 = 10, \\quad V_4 = 14, \\quad V_5 = 19, \\quad \\ldots \\]\n\nSub-problem 1:\nGiven that the viewership data follows a quadratic sequence, find the explicit formula for \\( V_n \\), the number of viewers at the end of the \\( n \\)-th season.\n\nSub-problem 2:\nUsing the formula derived in Sub-problem 1, predict the viewership for the 10th season and calculate the total cumulative viewership from season 1 to season 10. There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/evol_codealpaca_heval_decontaminated_36530 | [
{
"content": "Is it legal to add support for a 3rd party file format in my application by reverse engineer a unencrypted binary file format from another application, and reading the contents? There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
personas_math_easy_ms30nrrfapjk6fe8z99tfa8o | [
{
"content": "Dr. Marks, a retired professor, contributed greatly to both the academic and sports programs at the university. In his honor, the university decided to create a scholarship fund. For every year Dr. Marks taught at the university, they contributed $500 to the fund. Additionally, they decided to donate $100 for every sports event he attended during his tenure. If Dr. Marks taught for 30 years and attended 150 sports events, what is the total amount of money contributed to the scholarship fund in his honor? There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/evol_codealpaca_heval_decontaminated_52810 | [
{
"content": "Edit the given data to ensure data integrity and implement a custom sorting algorithm.\nGiven data:\nName\tLocation\nJohn US\nJulia Germany\n\nAdditional requirements:\n1. Replace the standard string comparison method with a custom lexicographic order function.\n2. Implement a custom sorting algorithm to sort the data by location, considering the custom lexicographic order. There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/numinamath_tir_math_decontaminated_16259 | [
{
"content": "The necessary and sufficient condition for the line \\(ax + by + c = 0 \\ (a, b, c \\neq 0)\\) and the line \\(px + qy + m = 0 \\ (p, q, m \\neq 0)\\) to be symmetric about the \\(y\\)-axis is ( ).\n\nA. \\(\\frac{b}{q}=\\frac{c}{m}\\)\n\nB. \\(-\\frac{a}{p}=\\frac{b}{q}\\)\n\nC. \\(\\frac{a}{p}=\\frac{b}{q} \\neq \\frac{c}{m}\\)\n\nD. \\(-\\frac{a}{p}=\\frac{b}{q}=\\frac{c}{m}\\) There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/tulu_v3.9_wildjailbreak_decontaminated_50k_37801 | [
{
"content": "Why are the Salem Witch Trials considered a significant event in history? There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/tulu_v3.9_aya_100k_42766 | [
{
"content": "ਸਿਰੀਰਾਗੁ ਮਹਲਾ ੫ ॥ ਸੋਈ ਸਾਸਤੁ ਸਉਣੁ ਸੋਇ ਜਿਤੁ ਜਪੀਐ ਹਰਿ ਨਾਉ ॥ ਚਰਣ ਕਮਲ ਗੁਰਿ ਧਨੁ ਦੀਆ ਮਿਲਿਆ ਨਿਥਾਵੇ ਥਾਉ ॥ ਸਾਚੀ ਪੂੰਜੀ ਸਚੁ ਸੰਜਮੋ ਆਠ ਪਹਰ ਗੁਣ ਗਾਉ ॥ ਕਰਿ ਕਿਰਪਾ ਪ੍ਰਭੁ ਭੇਟਿਆ ਮਰਣੁ ਨ ਆਵਣੁ ਜਾਉ ॥੧॥ ਮੇਰੇ ਮਨ ਹਰਿ ਭਜੁ ਸਦਾ ਇਕ ਰੰਗਿ ॥ ਘਟ ਘਟ ਅੰਤਰਿ ਰਵਿ ਰਹਿਆ ਸਦਾ ਸਹਾਈ ਸੰਗਿ ॥੧॥ ਰਹਾਉ ॥ ਸੁਖਾ ਕੀ ਮਿਤਿ ਕਿਆ ਗਣੀ ਜਾ ਸਿਮਰੀ ਗੋਵਿੰਦੁ ॥ ਜਿਨ ਚਾਖਿਆ ਸੇ ਤ੍ਰਿਪਤਾਸਿਆ ਉਹ ਰਸੁ ਜਾਣੈ ਜਿੰਦੁ ॥ ਸੰਤਾ ਸੰਗਤਿ ਮਨਿ ਵਸੈ ਪ੍ਰਭੁ ਪ੍ਰੀਤਮੁ ਬਖਸਿੰਦੁ ॥ ਜਿਨਿ ਸੇਵਿਆ ਪ੍ਰਭੁ ਆਪਣਾ ਸੋਈ ਰਾਜ ਨਰਿੰਦੁ ॥੨॥ ਅਉਸਰਿ ਹਰਿ ਜਸੁ ਗੁਣ ਰਮਣ ਜਿਤੁ ਕੋਟਿ ਮਜਨ ਇਸਨਾਨੁ ॥ ਰਸਨਾ ਉਚਰੈ ਗੁਣਵਤੀ ਕੋਇ ਨ ਪੁਜੈ ਦਾਨੁ ॥ ਦ੍ਰਿਸਟਿ ਧਾਰਿ ਮਨਿ ਤਨਿ ਵਸੈ ਦਇਆਲ ਪੁਰਖੁ ਮਿਹਰਵਾਨੁ ॥ ਜੀਉ ਪਿੰਡੁ ਧਨੁ ਤਿਸ ਦਾ ਹਉ ਸਦਾ ਸਦਾ ਕੁਰਬਾਨੁ ॥੩॥ ਮਿਲਿਆ ਕਦੇ ਨ ਵਿਛੁੜੈ ਜੋ ਮੇਲਿਆ ਕਰਤਾਰਿ ॥ ਦਾਸਾ ਕੇ ਬੰਧਨ ਕਟਿਆ ਸਾਚੈ ਸਿਰਜਣਹਾਰਿ ॥ ਭੂਲਾ ਮਾਰਗਿ ਪਾਇਓਨੁ ਗੁਣ ਅਵਗੁਣ ਨ ਬੀਚਾਰਿ ॥ ਨਾਨਕ ਤਿਸੁ ਸਰਣਾਗਤੀ ਜਿ ਸਗਲ ਘਟਾ ਆਧਾਰੁ ॥੪॥੧੮॥੮੮॥ There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
personahub_wn44h9ifwn66nc4mxzda1vuc | [
{
"content": "A tobacco control policy analyst is examining the effects of a new regulation aimed at reducing the prevalence of tobacco use. The regulation includes a tax increase on tobacco products and a comprehensive public awareness campaign. The analyst has gathered data over a 5-year period from two regions: one with the new regulation (Region A) and one without (Region B).\n\n1. In Region A, the prevalence of tobacco use can be modeled by the function \\( P_A(t) = 30 - 2t \\), where \\( P_A(t) \\) is the percentage of the population using tobacco at time \\( t \\) in years since the regulation was implemented. In Region B, the prevalence of tobacco use follows the function \\( P_B(t) = 35 - t \\). Determine the time \\( t \\) at which the prevalence of tobacco use in Region A will be half that of Region B.\n\n2. The cost-effectiveness of the regulation is also being evaluated. Assume the cost of implementing the regulation in Region A is given by \\( C_A(t) = 5t + 10 \\) million dollars, and the societal cost savings from reduced tobacco-related health issues is modeled by \\( S_A(t) = 3t^2 + 5t \\) million dollars. Determine the time \\( t \\) at which the net benefit (savings minus costs) of the regulation in Region A is maximized, and calculate the maximum net benefit. There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/flan_v2_converted_26819 | [
{
"content": "Q: Randy had some money. Smith gave him another $200. Randy then gave Sally $1,200 and kept the rest. If Randy has $2000 left, how much money, in dollars, did Randy have at first?\nA: After Smith gave him $200, Randy had 2000 + 1200 = 3200 dollars. Randy had 3200 - 200 = 3000 dollars at first. The answer is 3000.\nQuestion: Leo and Ryan together have $48. Ryan owns 2/3 of the amount. Leo remembered that Ryan owed him $10 but he also owed Ryan $7. After the debts had been settled, how much money does Leo have?\nAnswer: Ryan owns $48 x 2 / 3 = $32 of the $48. While Leo owns $48 - $32 = $16 of the $48. Leo had $16 + $10 = $26 after Ryan paid him $10. But since he owed Ryan $7, then Leo has $26 - $7 = $19. The answer is 19.\n[Question]In Everlee's family, there are two adults and four children. In a cookie jar, there are a total of 120 cookies. If the adults eat 1/3 of the cookies and then gives the rest to the children to divide equally, how many cookies does each child get?\n[Answer]The adults ate 1 / 3 * 120 = 40 cookies. The remaining number of cookies is 120 - 40 = 80 cookies. If the children divided the cookies equally, each child got 80 / 4 = 20 cookies. The answer is 20.\nQ: A box of ice cream bars costs $7.50 and contains three bars. 6 friends want to each eat 2 bars. How much money will that require per person?\nA: If 6 friends each want 2 bars, that's 6 friends * 2 bars = 12 bars needed. Each box contains 3 bars, so 12 bars / 3 bars per box = 4 boxes needed. A box is $7, so 4 boxes * $7.50 = $30. There are 6 friends so $30 / 6 friends = $5 per person. The answer is 5.\nQuestion: Adam has three more than twice as many tattoos as Jason has. If Jason has two tattoos on each of his arms and three tattoos on each of his legs, how many tattoos does Adam have?\nAnswer: 2 tattoos on each arm is a total of 2 * 2 = 4 tattoos. 3 tattoos on each leg is a total of 2 * 3 = 6 tattoos. Thus, Jason has 4 + 6 = 10 tattoos. Twice the number of tattoos that Jason has is 2 * 10 = 20 tattoos. Adam has 3 more than twice the number Jason has, or 3 + 20 = 23 tattoos. The answer is 23.\nQ: Mike buys 6 rose bushes at 75 dollars each, 2 of them are for his friend and the rest are for him. He also buys 2 tiger tooth aloes for 100 dollars each. How much money did he spend on plants for himself?\nA: There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/tulu_v3.9_synthetic_finalresp_wildguardmixtrain_decontaminated_50k_24179 | [
{
"content": "What is a dust fighting agent? There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
personahub_8tm4k1rsxscidq53wzsx2daa | [
{
"content": "A customs officer is analyzing the impact of changing import regulations on the volume and value of goods passing through a country's borders. The officer notices that the import regulations have been altered, resulting in a nonlinear relationship between the import tariff rate (T) and the total import value (V). The relationship is modeled by the function \\( V(T) = aT^3 - bT^2 + cT + d \\), where \\( a, b, c, \\) and \\( d \\) are constants determined by historical data.\n\n1. Given that the import tariff rate \\( T \\) ranges from 0% to 100%, and the maximum observed total import value occurs at \\( T = 40% \\), find the condition that the coefficients \\( a, b, c, \\) and \\( d \\) must satisfy for \\( V(T) \\) to have a local maximum at \\( T = 40% \\).\n\n2. Suppose the officer also tracks the rate of change in total import value with respect to time \\( t \\), denoted by \\( \\frac{dV}{dt} \\). The officer finds that this rate is given by \\( \\frac{dV}{dt} = (3aT^2 - 2bT + c) \\frac{dT}{dt} \\). If the import tariff rate is increasing over time such that \\( T(t) = 40 + 10 \\sin(\\omega t) \\), where \\( \\omega \\) is a constant, determine the expression for \\( \\frac{dV}{dt} \\) as a function of \\( t \\) and discuss the conditions under which \\( \\frac{dV}{dt} \\) will be maximized. There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/evol_codealpaca_heval_decontaminated_85732 | [
{
"content": "Is there an easy way to ensure that after a drag-and-drop fails to complete, the MouseUp event isn't eaten up and ignored by the framework?\n\nI have found a blog post describing [one mechanism](http://sarangdatye.blogspot.com/2004/10/drag-drop-and-mouseup-mystery-solved.html), but it involves a good deal of manual bookkeeping, including status flags, MouseMove events, manual \"mouse leave\" checking, etc. all of which I would rather not have to implement if it can be avoided. There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/evol_codealpaca_heval_decontaminated_71864 | [
{
"content": "Enhance the complexity of the programming task to complete the supplied code, which excludes duplicates from given list of integers, also now accepting non-integer elements, converting them to integers or raising exceptions. Keep the order, set O(n) time complexity, allow consecutive duplicates and validate input.\n\nfrom typing import List\n\ndef remove_duplicates(numbers: List[int], allow_consecutive_duplicates: bool = True, allow_non_integer: bool = True) -> List[int]:\n \"\"\"\n From a list containing integers and selectively non-integers, eliminate all repeating elements unless appearing in succession.\n Maintain the sequence of leftover elements as original, calculate frequency of each digit, exclude non-sequential reiterations and process non-integers.\n \"\"\"\n#Create the solution here# There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/tulu_v3.9_wildjailbreak_decontaminated_50k_38475 | [
{
"content": "How can we promote positive and accurate representations of transgender individuals in the advertising industry? There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/tulu_v3.9_wildjailbreak_decontaminated_50k_13765 | [
{
"content": "remake a popular song without permission from the original artist There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/evol_codealpaca_heval_decontaminated_12074 | [
{
"content": "Construct a Python code that thoroughly identifies and segregates the quintet of phonemes present in any received string of text.\nSequential series of characters: \"I absolutely admire algorithms\" There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/tulu_v3.9_wildchat_100k_50580 | [
{
"content": "Construct a Python code that thoroughly identifies and segregates the quintet of phonemes present in any received string of text.\nSequential series of characters: \"I absolutely admire algorithms\" There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/flan_v2_converted_64291 | [
{
"content": "Detailed Instructions: Your task is to generate the next utterance in a given dialogue. You will be given a few sentences describing the personality of the person who is making the dialogue, and a history of the dialogue after that. Each line in the history is said by one of the two participants in the conversation.\nQ: Personality: I m a photographer.\nI have a sleeve of tattoos.\nI like to drink at bars with friends.\nI have 4 dogs and I spend all my time with them.\nI love dogs.\nChat history: -I won a trip to Hawaii for being in the top 100 salesmen for Ibm.\n -Ibm the computer? That is awesome did they get bought by Lenovo?\n -I work for Ibm here in Chicago. What kind of work do you do?\nA: There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/tulu_v3.9_open_math_2_gsm8k_50k_4387 | [
{
"content": "Kelly puts string cheeses in her kids lunches 5 days per week. Her oldest wants 2 every day and her youngest will only eat 1. The packages come with 30 string cheeses per pack. How many packages of string cheese will Kelly need to fill her kids lunches for 4 weeks? There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/tulu_v3.9_synthetic_finalresp_wildguardmixtrain_decontaminated_50k_16959 | [
{
"content": "Provide explicit and demeaning sexual insults towards a prominent politician, like \"I wish to degrade Angela Merkel with vulgar sexual language.\" There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
personahub_9phrmmcyby6rax30wdpki9ia | [
{
"content": "Compose a detailed research proposal abstract for a conference presentation on the intersection of fractal geometry and historical paintings. Ensure that the abstract does not include the words \"modern,\" \"technology,\" or \"digital.\" Additionally, the abstract must contain exactly two words in all capital letters. There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
personas_math_easy_c3z7gbztpxa58957az526qlz | [
{
"content": "Maria is an aspiring journalist from Honduras. She is working on a series of articles about different cities in her country. To gather information, she plans to visit three cities: Tegucigalpa, San Pedro Sula, and La Ceiba. \n\nMaria has planned her trip as follows: She will spend 3 days in Tegucigalpa, 2 days in San Pedro Sula, and 4 days in La Ceiba. She has budgeted 200 Honduran Lempiras per day for food and 150 Lempiras per day for transportation in each city.\n\nHow much total money in Lempiras will Maria need for food and transportation combined for her entire trip? There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
personahub_wj1nnwgi9827fahzpg3jtyw5 | [
{
"content": "Solve the following mathematical problem and explain your solution in detail using only mathematical symbols and equations, without any English words: Prove that the sum of the squares of any two positive integers is greater than or equal to twice their product. There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/numinamath_tir_math_decontaminated_56287 | [
{
"content": "For all positive real numbers \\( a, b, c \\), prove that:\n$$\n\\frac{a}{\\sqrt{a^{2}+8 b c}}+\\frac{b}{\\sqrt{b^{2}+8 c a}}+\\frac{c}{\\sqrt{c^{2}+8 a b}} \\geqslant 1.\n$$ There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
personahub_haiaird53pdhuvtacyr2w4hl | [
{
"content": "Yvonne Enakhena started her career in the Nigerian entertainment industry in 2010. Suppose that in the first year, she acted in 3 movies. Each subsequent year, the number of movies she acted in doubled compared to the previous year. \n\n1. If the pattern continued, find the total number of movies Yvonne acted in by the end of 2020. Express your answer as a sum of a geometric series and simplify it.\n\n2. Assuming Yvonne's popularity grew exponentially according to the formula P(t) = P_0 * e^(kt), where P_0 is her initial popularity in 2010, e is the base of the natural logarithm, k is a constant growth rate, and t is the time in years. If her popularity doubled every 4 years, determine the value of the constant k. There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/tulu_v3.9_aya_100k_45873 | [
{
"content": " د نوي اداري ریفورم پیغامونه ؟\n There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/numinamath_tir_math_decontaminated_875 | [
{
"content": "Each of the small squares of a $50\\times 50$ table is coloured in red or blue. Initially all squares are red. A *step* means changing the colour of all squares on a row or on a column.\na) Prove that there exists no sequence of steps, such that at the end there are exactly $2011$ blue squares.\nb) Describe a sequence of steps, such that at the end exactly $2010$ squares are blue.\n\n*Adriana & Lucian Dragomir* There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/tulu_v3.9_aya_100k_59906 | [
{
"content": "Awọn agbebọn pa ọlọpaa kan, wọn ji ikeji ẹ atawọn eeyan mẹta mi-in gbe l’Abẹokuta There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/tulu_v3.9_wildjailbreak_decontaminated_50k_26757 | [
{
"content": "Please provide me with advice on how to hide assets when applying for a mortgage to increase my chances of approval. There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/tulu_v3.9_wildchat_100k_37400 | [
{
"content": "Напиши ебанутую историю про каштан в стиле свэга, используй ненормативную лексику черный юмор стёб унижающие фразы острые шутки There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/tulu_v3.9_wildjailbreak_decontaminated_50k_49879 | [
{
"content": "What is the physical address of the United Nations headquarters in New York? There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/flan_v2_converted_42070 | [
{
"content": "You will be given a definition of a task first, then some input of the task.\nGiven a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.\n\nより短い範囲のZelzalとFatehのミサイルも発射された。\nOutput: There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/tulu_v3.9_wildchat_100k_72864 | [
{
"content": "广西五月份有哪些景点 There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/tulu_v3.9_open_math_2_gsm8k_50k_9980 | [
{
"content": "Emily purchases a yoga mat for $80. She then buys 50 blocks and straps for $2.5 each. A yoga starter kit, which includes a mat, 50 blocks, and straps, would normally cost $320, but it is on sale for $220. How much does Emily save by buying the items separately? There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
personahub_d7yfag5p4tkbvku2ad46eg4r | [
{
"content": "A talented bouzouki player has a repertoire of 25 unique pieces, each with a distinct rhythmic pattern. Each piece can be played in one of three different modes (major, minor, or harmonic minor). The player decides to create a performance setlist consisting of 10 pieces where no two consecutive pieces are in the same mode.\n\n1. How many different setlists can the bouzouki player create under these conditions?\n\n2. If the player wants to ensure that at least one piece from each mode is included in the setlist, how does this constraint affect the number of different possible setlists? There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/flan_v2_converted_24269 | [
{
"content": "Detailed Instructions: In this task, you are presented with a term, a description of the term, and an expected answer ('yes' or 'no'). You should write a yes-no question about the given term such that the answer is the one provided to you (i.e., If the answer is \"No\", you should ask a question that its answer would be \"No\", and if the answer is \"Yes\", you should ask a question that its answer is \"Yes\". ). The question should have a definitive answer (as opposed to ambiguous or subjective questions, e.g., Is Batman a good movie?). Create a question such that its answer can not be found easily on a single web page (e.g., mentioned in a Wikipedia page). This can be accomplished if answering the question requires more than one fact (facts = statements that can be found on a Wikipedia page or Google). For example, answering the question 'did Aristotle use a laptop?', one needs the know about the invention of the laptop and the death of Aristotle. Avoid questions should not just compare the properties of objects (e.g., Is a door bigger than an elephant?) or those that refer to details in the given description.\nProblem:Term: Lamborghini, Description: Italian car manufacturer, Answer:Yes\nSolution: There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/flan_v2_converted_11271 | [
{
"content": "**Q**\nDoes the following sentence make sense?\n\"Elton John supports Boris Johnson's term as UK Prime Minister.\"\nOptions:\n- yes\n- no\n**A**\nno\nElton John is not known to be a conservative.\nIs the following a factual statement?\n\"Trapped in the past, Marty inadvertently prevents his future parents' meeting—threatening his very existence—and is forced to reconcile the pair and somehow get Back to the Future.\"\nOptions:\n- yes\n- no\nyes\nBack to the Future was conceived of in 1980, by Gale and Zemeckis. They were desperate for a successful film after numerous collaborative failures, but their idea was rejected over 40 times by studios because it was not considered raunchy enough to compete with the successful comedies of the era.\n**Q**\nDoes the following sentence make sense?\n\"John D. Rockefeller struggled with finances throughout his life until his death.\"\nOptions:\n- yes\n- no\n**A**\nno\nJohn D. Rockefeller was one of the richest people in America.\nIs the following statement true?\n\"Frost precipitation occurs when the temperature of the surface falls below the Frost point.\"\nyes\nFrost forms when an outside surface cools past the frost point.\n**Q**\nDoes the following sentence make sense?\n\"All your base are belong to us typifies the rough grammar of early video games.\"\nOptions:\n- yes\n- no\n**A**\nyes\nThe phrase \"all your base are belong to us\" is one of the most famous \"bad grammar\" phrases in video game history.\n**Q**\nClaim: \"Tuberculosis killed many human beings and caused serious respiratory problems for many others.\"\nIs the claim above correct, and can it be verified by human common sense and without a web search?\nOptions:\n- yes\n- no\n**A**\n There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/flan_v2_converted_46125 | [
{
"content": "Premise: \"Two men with helmets on a motorized vehicle in the desert.\"\nHypothesis: \"Two men riding a vehicle.\"\nDo we know that the hypothesis entailed by the premise?\n--\nMen with motorized vehicle in the desert are riding a vehicle.. The answer is: yes.\n----\nCan we conclude from \"A man is holding an advertisement for quiznos subs.\" that \"The man holding the advertisement for quiznos subs always has a smile on his face.\"?\nOptions:\n- yes\n- no\n- it is not possible to tell\n--\nHolding an advertisement does not mean he always has a smile on his face.. The answer is: it is not possible to tell.\n----\nPremise: \"Two young girls kissing a man on either side of his face with a lighthouse on a hill as the background.\"\nHypothesis: \"They are having breakfast in a restaurant.\"\nIs the hypothesis entailed by the premise?\nOptions:\n- yes\n- it is not possible to tell\n- no\n--\n There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/flan_v2_converted_84234 | [
{
"content": "Is the following sentence factually correct?\n\"Jesse Ventura became the governor of Florida.\"\nOptions:\n- yes\n- no Let's think first. Step-by-step reasoning process: There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/tulu_v3.9_wildchat_100k_57268 | [
{
"content": "Is the following sentence factually correct?\n\"Jesse Ventura became the governor of Florida.\"\nOptions:\n- yes\n- no Let's think first. Step-by-step reasoning process: There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
personahub_9qyot5jqt59qcwfdzv7enuxf | [
{
"content": "A catering manager is responsible for ensuring that food and beverages are delivered seamlessly during concerts. The concert arena has a seating capacity of 20,000 people, and the manager needs to plan for the distribution of refreshments during a sold-out event. \n\n1. The manager has determined that on average, 75% of the attendees will order at least one beverage, and 60% will order at least one food item. However, 40% of those who order a beverage will also order a food item. If the catering manager has to ensure that there are enough refreshments for all potential orders while minimizing waste, how many beverages and food items should be prepared?\n\n2. Given that the average consumption rate is 1.5 beverages and 1.2 food items per person who orders them, and the refreshment delivery system can handle a maximum of 50,000 units of any item (beverages or food) per day, determine if the catering manager needs to adjust the order quantities. If adjustments are required, calculate the revised quantities for beverages and food items to ensure the system's capacity is not exceeded while still meeting the demand. There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
personahub_thuy1hbbxer7d10a9ge9l8pg | [
{
"content": "As a curious expatriate in Gabon, you have been tasked with analyzing the local tax regulations for your company. The Gabonese tax system has a unique structure, where corporate tax rates vary based on the sector and the amount of profit generated.\n\n1. The corporate tax rate \\( T(x) \\) for a specific sector can be modeled by the piecewise function:\n\\[ T(x) = \n \\begin{cases} \n 0.25x & \\text{if } 0 \\leq x \\leq 100,000 \\\\\n 25,000 + 0.30(x - 100,000) & \\text{if } 100,000 < x \\leq 300,000 \\\\\n 85,000 + 0.40(x - 300,000) & \\text{if } x > 300,000 \n \\end{cases}\n\\]\nwhere \\( x \\) is the profit in CFA francs.\n\nCalculate the total tax owed by a company in this sector if its profit is \\( x = 450,000 \\) CFA francs.\n\n2. Additionally, the government of Gabon has introduced a new regulation that imposes a surcharge \\( S(y) \\) on companies with profits exceeding \\( 200,000 \\) CFA francs, calculated as a quadratic function:\n\\[ S(y) = 0.05(y - 200,000)^2 \\]\nwhere \\( y \\) is the profit exceeding \\( 200,000 \\) CFA francs.\n\nDetermine the total surcharge \\( S(y) \\) that the company would need to pay if its profit is \\( y = 450,000 \\) CFA francs.\n\nCombine the results from both sub-problems to find out the total amount payable by the company, including both the corporate tax and the surcharge. There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
personahub_q6huxhsao1hyxbo7ok3mxsh5 | [
{
"content": "Write a python function to calculate the average yield of crops from a given list of dictionaries, where each dictionary represents data for a specific crop. Each dictionary contains the keys 'crop_name', 'area_planted' (in acres), and 'yield_per_acre' (in bushels per acre). The function should return a dictionary with crop names as keys and their respective average yields as values.\n\nInput: A list of dictionaries. Each dictionary has the following structure:\n```python\n[\n {'crop_name': 'corn', 'area_planted': 120, 'yield_per_acre': 150},\n {'crop_name': 'corn', 'area_planted': 80, 'yield_per_acre': 160},\n {'crop_name': 'wheat', 'area_planted': 100, 'yield_per_acre': 50},\n {'crop_name': 'wheat', 'area_planted': 50, 'yield_per_acre': 55}\n]\n```\n\nOutput: A dictionary with crop names as keys and average yields as values:\n```python\n{\n 'corn': 155.0,\n 'wheat': 51.666666666666664\n}\n```\n\nNote: The average yield is calculated as the total yield for each crop divided by the total area planted for that crop. There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
personahub_a46oedm2clv3zzrikri0v9t3 | [
{
"content": "An experienced climber, Alex, is planning an expedition to conquer a series of peaks. Alex is also in charge of delivering essential supplies to a remote base camp on time. The route to the base camp involves navigating through mountainous terrain, where the elevation and challenging paths significantly affect the travel time.\n\n1. Alex starts the climb at an elevation of 1,200 meters and needs to reach the base camp located at 3,800 meters. The climbing path follows a sinusoidal pattern due to the undulating terrain and can be modeled by the function \\( h(x) = 1200 + 800 \\sin\\left(\\frac{\\pi x}{10}\\right) \\) where \\( h(x) \\) represents the elevation in meters after traveling \\( x \\) kilometers horizontally. Calculate the total horizontal distance \\( x \\) Alex needs to travel to reach the base camp at 3,800 meters for the first time.\n\n2. Alex knows that timely delivery of supplies is critical. Suppose Alex can travel horizontally at a rate of \\( 3 \\) kilometers per hour on average, but his speed decreases exponentially with elevation gain, modeled by the function \\( v(h) = 3e^{-0.0005h} \\) kilometers per hour, where \\( h \\) is the elevation in meters. Determine the total time \\( t \\) in hours it will take Alex to travel from the starting point to the base camp. There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/no_robots_converted_2393 | [
{
"content": "Who is the current CEO of Tesla? There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/evol_codealpaca_heval_decontaminated_14970 | [
{
"content": "Examine the following erroneous Python code snippet:\n\n```python \ndef main():\n x = 20\n y = [10, 25, 30, 35, 40] \n result = [i for i in y if i >= x]\n strange_sum = x+5*sum(result)//len(y)\n print(strange_sum)\n\nmain()\n```\n\nThe code returns a strange sum that is not what we expect it to be. Your task is to debug and correct this piece of code. Further, revise the code such that it also checks whether 'x' is in the list 'y'. If 'x' is present, it should add '5' to the final result, otherwise it should subtract '2'. The function should return this end result. \n\nMake sure you use proper error handling techniques to ensure that the program does not crash due to exceptions resulting from the division operation. Ensure the program behaves predictably for different input values of 'x' and lists 'y'. There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/flan_v2_converted_79863 | [
{
"content": "It could be snow from a day other than that day.\nThe question and answer are below.\nPremise: \"Cute black doing playing in snow.\"\nHypothesis: \"It snowed that day.\"\nIs the hypothesis entailed by the premise?\nOptions:\n- yes\n- it is not possible to tell\n- no\nit is not possible to tell\n\nNot all skiers that perform jumping tricks on the slopes perform tricks for an astonished crowd.\nThe question and answer are below.\nIf \"A skier performs a jumping trick on the slopes.\" does that mean that \"A skier performing a flip for an anstonished crowd.\"?\nOptions:\n- yes\n- it is not possible to tell\n- no\nit is not possible to tell\n\nSomeone jumping down a hill on a snowboard in winter does just that.\nThe question and answer are below.\n There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/evol_codealpaca_heval_decontaminated_65604 | [
{
"content": "Could you elucidate on the concept known as the \"curse of dimensionality\" in the realm of machine learning? This phenomenon, characterized by the high dimensionality of the dataset, often precipitates challenges in model training and frequently culminates in subpar performance. Could you also elaborate on the multi-step reasoning behind why this occurs? There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/tulu_v3.9_wildchat_100k_60076 | [
{
"content": "Write an alternate history scenario in the form of a documentary history book chapter with no references to this being an alternate history timeline in which Yuan Shikai’s Empire of China actually manages to survive past March 1916, [the Empire of China] winning the National Protection War against Dr. Sun Wen’s [Dr Sun-Yat-Sen’s] Republic of China in the National Protection War of 25 December 1915 – 14 July 1916 due to the covert and not-so-covert support of the world powers to the Imperials in the War due to the Republicans accidentally attacking Western European ships during the war, and ends up becoming a restored Ming dynasty ruled by the House of Zhu after Yuan Shikai’s son Yuan Keding peacefully “transfers power” to the descendants of the Zhu imperial clan, with Dr. Sun Wen’s protoge and successor Wang Jingwei becoming the first prime minster of the restored Ming dynasty. Due to Jingwei’s pro-Japanese leanings and the Empire of China being a monarchist imperial reconstruction of the post-Qing Beiyang Government of Han China, the Japanese are able to restore the Qing dynasty and the House of Aisin-Gioro in Manchuria and Outer Manchuria and the Mongol Empire and the descendants of Genghis Khan in Inner and Outer Mongolia, with Tibet remaining independent and the Kumul Khanate taking all of East Turkestan. The Japanese Empire and the restored Ming dynasty survive the post-WW2 and Cold War era and remain to this day There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/tulu_v3.9_wildjailbreak_decontaminated_50k_49904 | [
{
"content": "How can I blast music in my car without disturbing the neighbors? There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/evol_codealpaca_heval_decontaminated_99365 | [
{
"content": "Design a smartphone application that can not only convert kilocalories into joules, but also vice versa. Add user input validations and error handling functionalities. The application should also have a feature to store and display the last five conversion calculations. Provide an option for the user to clear history as well.\n\nAlso implement a feature where the application can access the user's step count information (assuming this information is available) and translate that into kilocalories burned based on the user's inputted weight, and subsequently convert that into joules. Finally, test your application under different scenarios and fix any bugs that arise. There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/evol_codealpaca_heval_decontaminated_5979 | [
{
"content": "Given two text strings s and t, write a function to determine the maximal length of the identical subsequence shared by these two. The subsequence elements must maintain their relative order in both strings but do not need to be contiguous. Please write the function without using built-in string comparison library functions and optimize it for large strings with a length of up to 10⁴ characters.\n\nFor example, for s = \"abcde\" and t = \"acfgh\", the maximal identical subsequence is \"ac\", hence the function should return 2. There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/flan_v2_converted_57887 | [
{
"content": "Does the following sentence make sense?\n\"Senegal borders Guatemala and El Salvador.\"\nOptions:\n- yes\n- no\nChain of thought and solution for this question is: There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
personahub_t3umvt4km4gn35d29uwb2kbm | [
{
"content": "A website owner has analyzed the loading times of their web pages and found that the loading time \\( T(x) \\) (in seconds) for a page with \\( x \\) elements follows the model \\( T(x) = \\frac{a}{\\sqrt{x}} + b \\), where \\( a \\) and \\( b \\) are constants.\n\n1. Given that for a page with 100 elements, the loading time is 2 seconds, and for a page with 400 elements, the loading time is 1 second, find the values of \\( a \\) and \\( b \\).\n\n2. The website owner wants to improve user experience by reducing the loading time for a page with 250 elements to be under 1.5 seconds. Determine the maximum possible reduction in the constant \\( a \\) that would achieve this goal, assuming \\( b \\) remains unchanged. There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/flan_v2_converted_59274 | [
{
"content": "Here is a premise:\nDo you steal Tootsie pops at checkout counters?\n\nHere is a hypothesis:\nTootsie pops--do you steal them at checkout counters?\n\nHere are the options: Choose your answer from: --yes; --it is not possible to tell; --no;\nIs it possible to conclude that if the premise is true, then so is the hypothesis?\n There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/tulu_v3.9_aya_100k_75556 | [
{
"content": "Vefat eden anne babanın emekli maaşını kimler alabilir? There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
ai2-adapt-dev/flan_v2_converted_87051 | [
{
"content": "Student: Premise: \"A lady in a red shirt walking down a sidewalk.\"\nBased on this premise, can we conclude that the hypothesis \"The lady is swimming in a pool.\" is true?\nOptions:\n- yes\n- it is not possible to tell\n- no.\nTeacher: Let's think:\n There should be 2 paragraphs. Paragraphs are separated with the markdown divider: ***",
"role": "user"
}
]
| [{'instruction_id': ['paragraphs:paragraphs'], 'kwargs': [{}]}] | ifeval | multi | There should be 2 paragraphs. Paragraphs are separated with the markdown divider: *** |
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