Datasets:

Jofthomas

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Gaia-links

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{ "Steps": "1. Go to arxiv.org and navigate to the Advanced Search page.\n2. Enter \"AI regulation\" in the search box and select \"All fields\" from the dropdown.\n3. Enter 2022-06-01 and 2022-07-01 into the date inputs, select \"Submission date (original)\", and submit the search.\n4. Go through the search results to find the article that has a figure with three axes and labels on each end of the axes, titled \"Fairness in Agreement With European Values: An Interdisciplinary Perspective on AI Regulation\".\n5. Note the six words used as labels: deontological, egalitarian, localized, standardized, utilitarian, and consequential.\n6. Go back to arxiv.org\n7. Find \"Physics and Society\" and go to the page for the \"Physics and Society\" category.\n8. Note that the tag for this category is \"physics.soc-ph\".\n9. Go to the Advanced Search page.\n10. Enter \"physics.soc-ph\" in the search box and select \"All fields\" from the dropdown.\n11. Enter 2016-08-11 and 2016-08-12 into the date inputs, select \"Submission date (original)\", and submit the search.\n12. Search for instances of the six words in the results to find the paper titled \"Phase transition from egalitarian to hierarchical societies driven by competition between cognitive and social constraints\", indicating that \"egalitarian\" is the correct answer.", "Number of steps": "12", "How long did this take?": "8 minutes", "Tools": "1. Web browser\n2. Image recognition tools (to identify and parse a figure with three axes)", "Number of tools": "2" }

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{ "Steps": "1. Search the web for “finding nemo main character”.\n2. Note the results, which state that the main character is a clownfish.\n3. Search the web for “usgs nonnative species database”.\n4. Click result for the Nonindigenous Aquatic Species site.\n5. Click “Marine Fishes”.\n6. Click “Species List of Nonindigenous Marine Fish”.\n7. Scroll through the list until I find the clown anenomefish, and click “Collection info”.\n8. Note the place that a clown anenomefish was found, in Fred Howard Park at the Gulf of Mexico.\n9. Search the web for “fred howard park florida zip code”.\n10. Note the zip code, 34689. Since only one clownfish was found before the year 2020, this is the answer.", "Number of steps": "10", "How long did this take?": "5 minutes", "Tools": "1. Search engine\n2. Web browser", "Number of tools": "2" }

[ { "name": "Nonindigenous Aquatic Species", "url": "https://nas.er.usgs.gov/" } ]

[ { "name": "Fred Howard Park", "section": "zip code" } ]

{ "Steps": "1. Find how many articles were published in Nature in 2020 by Googling \"articles submitted to nature 2020\"\n2. Click through to Nature's archive for 2020 and filter the results to only provide articles, not other types of publications: 1002\n3. Find 4% of 1002 and round up: 40.08 > 41", "Number of steps": "3", "How long did this take?": "5 minutes", "Tools": "1. search engine\n2. calculator", "Number of tools": "2" }

[ { "name": "Google", "url": "https://www.google.com" } ]

[ { "name": "Nature", "section": "archive for 2020" } ]

{ "Steps": "1. Searched \"Unlambda syntax\" online (optional).\n2. Opened https://en.wikipedia.org/wiki/Unlambda.\n3. Note that the hello world program is very similar in syntax to the code in this question.\n4. Go to the source referenced by the hello world program.\n5. From the referenced source, read what the components of the program do to understand that each period needs a backtick after the initial `r.\n6. Observe that in the given code, there are 12 periods but only 11 backticks after the initial `r, so the missing character is a backtick.", "Number of steps": "6", "How long did this take?": "15 minutes", "Tools": "1. Web browser\n2. Search engine\n3. Unlambda compiler (optional)", "Number of tools": "3" }

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{ "Steps": "1. Googled Eliud Kipchoge marathon pace to find 4min 37sec/mile\n2. Converted into fractions of hours.\n3. Found moon periapsis in miles (225,623 miles).\n4. Multiplied the two to find the number of hours and rounded to the nearest 100 hours.", "Number of steps": "4", "How long did this take?": "20 Minutes", "Tools": "1. A web browser.\n2. A search engine.\n3. A calculator.", "Number of tools": "3" }

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{ "Steps": "1. Open the attached file.\n2. Compare the years given in the Blu-Ray section to find the oldest year, 2009.\n3. Find the title of the Blu-Ray disc that corresponds to the year 2009: Time-Parking 2: Parallel Universe.", "Number of steps": "3", "How long did this take?": "1 minute", "Tools": "1. Microsoft Excel", "Number of tools": "1" }

[ { "name": "Google", "url": "https://www.google.com" } ]

[ { "name": "Wikipedia", "section": "Main Page" } ]

{ "Steps": "1. I did a search for Mercedes Sosa\n2. I went to the Wikipedia page for her\n3. I scrolled down to \"Studio albums\"\n4. I counted the ones between 2000 and 2009", "Number of steps": "4", "How long did this take?": "5 minutes", "Tools": "1. web browser\n2. google search", "Number of tools": "2" }

[ { "name": "Google", "url": "https://www.google.com" } ]

[ { "name": "Wikipedia", "section": "Studio albums" } ]

{ "Steps": "1. Use search engine to search for \"British Museum search collection\" and navigate to the British Museum's collection search webpage.\n2. Select \"Museum number\" as search field and \"2012,5015.17\" in text box, then run search.\n3. Open the page for the single result and note that the description says that this is the shell of an individual of the Nassa gibbosula species.\n4. Use search engine to search for \"Nassa gibbosula\".\n5. Note that according to the search result from the World Register of Marine Species website, Nassa gibbosula is not an accepted species name.\n6. Open the page for Nassa gibbosula on the World Register of Marine Species website.\n7. Scan the page and note that the accepted species name is Tritia gibbosula.\n8. Use search engine to search for \"Science Advances 2021 Tritia gibbosula\".\n9. Find that the top result is an article from 2021 in Science Advances titled \"Early Middle Stone Age personal ornaments from Bizmoune Cave, Essaouira, Morocco\".\n10. Scan abstract and note that the article discusses beads made from Tritia gibbosula shells that date to at least 142 thousand years ago, giving a final answer of 142.", "Number of steps": "10", "How long did this take?": "12 minutes", "Tools": "1. Web browser\n2. Search engine", "Number of tools": "2" }

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{ "Steps": "1. Searched \"numpy github\" on Google search.\n2. Opened the NumPy GitHub page.\n3. Clicked \"Issues\" in the repo tabs.\n4. Clicked \"Closed\" on the filter bar.\n5. Set the filter to the \"numpy.polynomial\" label.\n6. Set the filter to the \"06 - Regression\" label.\n7. Opened the oldest Regression post.\n8. Scrolled down to find when the Regression label was added (Apr 15, 2018).\n9. Converted to MM/DD/YY (04/15/18).", "Number of steps": "9", "How long did this take?": "10 minutes", "Tools": "1. Web browser\n2. Search engine", "Number of tools": "2" }

[ { "name": "Google", "url": "https://www.google.com" } ]

[ { "name": "NumPy GitHub", "section": "Issues" } ]

{ "Steps": "Step 1: Evaluate the problem statement provided in my user's prompt\nStep 2: Consider the probability of any ball on the platform earning the prize.\nStep 3: Evaluate the ball in position one. The probability of it earning the prize, P1, is 1/3\nStep 4: Using a calculator, evaluate the ball in position two. The probability of it earning the prize, P2, is the difference between 1 and the product of the complementary probabilities for each trial\nP2 = 1 - (2/3)(2/3)\nP2 = 5/9\nStep 5: Using a calculator, evaluate the ball in position three. The probability of it earning the prize, P3, is the difference between 1 and the product of the complementary probabilities for each trial\nP3 = 1 - (2/3)(2/3)(2/3)\nP3 = 19/27\nStep 6: Consider the possible outcomes of numbers higher than 3.\nStep 7: For each trial, either 1 or 2 balls from the ramp will advance to the platform. For any given selection, there is a 50% chance that the ball advances to position 2 or position 3.\nStep 8: As position three holds the highest chance of earning the prize, select the only ball known to occupy position three with certainty, ball 3.\nStep 9: Report the correct answer to my user, \"3\"", "Number of steps": "9", "How long did this take?": "1 minute", "Tools": "None", "Number of tools": "0" }

[ { "name": "Google", "url": "https://www.google.com" } ]

[ { "name": "Stack Overflow", "section": "questions" } ]

{ "Steps": "1. Searched \"July 2, 1959 United States standards for grades of processed fruits, vegetables, and certain other products\" on Google.\n2. Opened https://upload.wikimedia.org/wikipedia/commons/0/06/United_States_standards_for_grades_of_processed_fruits%2C_vegetables%2C_and_certain_other_products_%28as_of_July_2%2C_1959%29_%28IA_unitedstatesstan14unit_4%29.pdf.\n3. Scrolled to the \"DRIED or DEHYDRATED\" section.\n4. Opened a new tab and searched \"united states standards for grades of dehydrated apples\".\n5. Opened https://www.ams.usda.gov/grades-standards/dehydrated-apples-grades-and-standards.\n6. Opened the \"U.S. Grade Standards for Dehydrated Apples (pdf)\" PDF.\n7. Checked the date against the 1959 standards.\n8. Repeated steps 4-7 for all dehydrated items in the \"DRIED or DEHYDRATED\" section:\n9. Grapefruit Juice, updated (running tally: 2/2)\n10. Orange Juice, updated (running tally: 3/3)\n11. Found all versions of the dehydrated items in Frozen or Chilled, except those marked Chilled: Apples; Grapefruit Juice, Concentrated; Grapefruit Juice and Orange Juice, Concentrated, Blended; Orange Juice, Concentrated\n12. Repeated steps 4-7 all those versions:\n13. Apples, not updated (running tally: 3/4)\n14. Grapefruit Juice, Concentrated, updated (running tally: 4/5)\n15. Grapefruit Juice and Orange Juice, Concentrated, Blended, updated (running tally: 5/6)\n16. Orange Juice, Concentrated, updated (running tally: 6/7)\n17. Calculated the percentage (6 / 7 * 100% = 85.7%).\n18. Rounded to the nearest percent (86%).", "Number of steps": "14", "How long did this take?": "20 minutes", "Tools": "1. Web browser\n2. Search engine\n3. PDF access\n4. Calculator", "Number of tools": "4" }

[ { "name": "United States standards for grades of processed fruits, vegetables, and certain other products", "url": "https://upload.wikimedia.org/wikipedia/commons/0/06/United_States_standards_for_grades_of_processed_fruits%2C_vegetables%2C_and_certain_other_products_%28as_of_July_2%2C_1959%29_%28IA_unitedstatesstan14unit_4%29.pdf" } ]

[ { "name": "United States Department of Agriculture", "section": "Grades and Standards" } ]

{ "Steps": "1. Search the web for \"PDB ID 5wb7\"\n2. Navigate to https://www.rcsb.org/structure/5wb7 from the search results page\n3. Download the PDB file from the landing page.\n4. Process the PDB file using Python and Biopython to calculate the distance between the first two atoms listed in the file. (1.4564234018325806 Å)\nfrom Bio.PDB import PDBParser\nparser = PDBParser()\nstructure = parser.get_structure(\"5wb7\", \"5wb7.pdb\")\nfor atom in structure.get_atoms():\n atom1 = atom\n break\nfor atom in structure.get_atoms():\n if atom != atom1:\n atom2 = atom\n break\ndistance = atom1 - atom2\nprint(f\"{distance}\")\n5. Round the result to the nearest picometer (1.456)", "Number of steps": "5", "How long did this take?": "45 minutes", "Tools": "1. Web browser\n2. Search engine\n3. File handling\n4. Python\n5. Calculator ", "Number of tools": "5" }

[ { "name": "Google", "url": "https://www.google.com" } ]

[ { "name": "PDB ID 5wb7", "section": "search results page" }, { "name": "https://www.rcsb.org/structure/5wb7", "section": "landing page" } ]

{ "Steps": "1. Searched \"Pearl of Africa\" on Google.\n2. Noted the answer from the results.\n3. Searched \"SPFMV and SPCSV in Uganda 2016 paper\" on Google.\n4. Opened \"Effects of Sweet Potato Feathery Mottle Virus and ...\" at https://onlinelibrary.wiley.com/doi/full/10.1111/jph.12451.\n5. Found the section on virus testing.\n6. Searched \"most commonly used chemicals for ELISA\" on Google.\n7. Noted horseradish peroxidase and alkaline phosphatase from the results.\n8. Searched \"horseradish peroxidase EC number\" on Google.\n9. Noted the answer from the featured text snippet (1.11.1.7).\n10. Searched \"alkaline phosphatase EC number\" on Google.\n11. Noted the answer from the featured text snippet (3.1.3.1).\n12. Alphabetized the chemicals.\n13. Put the numbers in the order of the chemicals.", "Number of steps": "13", "How long did this take?": "15 minutes", "Tools": "1. Web browser\n2. Search engine", "Number of tools": "2" }

[ { "name": "Google", "url": "https://www.google.com" } ]

[ { "name": "Wiley Online Library", "section": "Effects of Sweet Potato Feathery Mottle Virus and Sweet Potato Chlorotic Stunt Virus on Sweet Potato Yield in Uganda" } ]

{ "Steps": "1. Search the web for “Book of Esther NIV”.\n2. Click search result to read the text of the first chapter.\n3. Note the first place named, India.\n4. Search the web for “prime ministers of India list”.\n5. Click Wikipedia result.\n6. Scroll down to find the prime minister during the specified timeframe, Morarji Desai.", "Number of steps": "6", "How long did this take?": "5 minutes", "Tools": "1. Search engine\n2. Web browser", "Number of tools": "2" }

[ { "name": "Book of Esther NIV", "url": "https://www.biblegateway.com/passage/?search=Esther+1&version=NIV" } ]

[ { "name": "Wikipedia", "section": "List of Prime Ministers of India" } ]

{ "Steps": "1. Searched \"ben and jerrys flavor graveyard\" on Google search.\n2. Opened \"Flavor Graveyard\" on www.benjerry.com.\n3. Opened each flavor to find the oldest one (Dastardly Mash).\n4. Deciphered the blurry name on the headstone behind it (Miz Jelena's Sweet Potato Pie).\n5. Scrolled down to Miz Jelena's Sweet Potato Pie.\n6. Copied the last line of the rhyme.\n7. (Optional) Copied the URL.\n8. Searched \"internet archive\" on Google search.\n9. Opened the Wayback Machine.\n10. Entered the URL.\n11. Loaded the last 2022 page.\n12. Confirmed the information was the same.", "Number of steps": "6", "How long did this take?": "7 minutes", "Tools": "1. Image recognition tools\n2. Web browser\n3. Search engine", "Number of tools": "3" }

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{ "Steps": "1. Search \"LibreText density mayonnaise\"\n2. Click result, confirm the correct license.\n3. Search \"cm^3 to 1 cup\"\n4. Use results with density measures to form the equation (16*236.588)(1.420 - 0.910)/(236.588*1.420)\n5. Round up", "Number of steps": "5", "How long did this take?": "20 minutes", "Tools": "1. Search engine\n2. Web browser\n3. Calculator", "Number of tools": "3" }

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{ "Steps": "1. Searched '\"Can Hiccup Supply Enough Fish to Maintain a Dragon’s Diet?\"' on Google.\n2. Opened \"Can Hiccup Supply Enough Fish to Maintain a Dragon’s Diet?\" at https://journals.le.ac.uk/ojs1/index.php/jist/article/view/733.\n3. Clicked \"PDF\".\n4. Found the calculations for the volume of the fish bag and noted them.", "Number of steps": "4", "How long did this take?": "5 minutes", "Tools": "1. Web browser\n2. Search engine\n3. PDF access", "Number of tools": "3" }

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{ "Steps": "1. Opened the JSONLD file.\n2. Opened each ORCID ID.\n3. Counted the works from pre-2022.\n4. Took the average: (54 + 61 + 1 + 16 + 0) / 5 = 132 / 5 = 26.4.", "Number of steps": "4", "How long did this take?": "15 minutes", "Tools": "1. Web browser\n2. Search engine\n3. Calculator\n4. JSONLD file access", "Number of tools": "4" }

[ { "name": "Google", "url": "https://www.google.com" } ]

[ { "name": "Wikipedia", "section": "https://en.wikipedia.org/wiki/JSON" } ]

{ "Steps": "1. Navigate to the YouTube link.\n2. Watch the video to see the highest number of bird species.\n3. Note the number.", "Number of steps": "3", "How long did this take?": "3 minutes", "Tools": "1. Web browser\n2. Video parsing", "Number of tools": "2" }

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{ "Steps": "1. Searched \"Pie Menus or Linear Menus, Which Is Better?\" on Google.\n2. Opened \"Pie Menus or Linear Menus, Which Is Better?\" on https://oda.oslomet.no/oda-xmlui/handle/10642/3162.\n3. Clicked each author's name.\n4. Noted the name that had no other papers listed.\n5. Searched \"Murano, Pietro\" on Google.\n6. Opened http://www.pietromurano.org/.\n7. Clicked \"Publications\".\n8. Found the earliest paper he contributed to.", "Number of steps": "8", "How long did this take?": "10 minutes", "Tools": "1. Web browser\n2. Search engine", "Number of tools": "2" }

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{ "Steps": "1. Opened the PNG file.\n2. Made separate lists of the red numbers and green numbers.\n3. Opened a Python compiler.\n4. Ran the following code:\n```\nimport statistics as st\nred = st.pstdev([24, 74, 28, 54, 73, 33, 64, 73, 60, 53, 59, 40, 65, 76, 48, 34, 62, 70, 31, 24, 51, 55, 78, 76, 41, 77, 51])\ngreen = st.stdev([39, 29, 28, 72, 68, 47, 64, 74, 72, 40, 75, 26, 27, 37, 31, 55, 44, 64, 65, 38, 46, 66, 35, 76, 61, 53, 49])\navg = st.mean([red, green])\nprint(avg)\n```\n5. Rounded the output.", "Number of steps": "5", "How long did this take?": "20 minutes", "Tools": "1. Python compiler\n2. Image recognition tools", "Number of tools": "2" }

[ { "name": "Google", "url": "https://www.google.com" } ]

[ { "name": "Stack Overflow", "section": "questions" } ]

{ "Steps": "1. Search \"The Thinking Machine (Artificial Intelligence in the 1960s)\" and open the YouTube result\n2. Listen to the video.\n3. Search for a transcript to confirm, due to struggling to feel confident in my answer.\n4. Fail to find a transcript.\n5. Watch again, finding again that Claude Shannon predicted AI in 5-10 years, which is the soonest.", "Number of steps": "5", "How long did this take?": "15 minutes", "Tools": "1. web browser\n2. video recognition tools", "Number of tools": "2" }

[ { "name": "Google", "url": "https://www.google.com" } ]

[ { "name": "YouTube", "section": "search" } ]

{ "Steps": "1. Search the web for “Doctor Who series 9 episode 11 official script”.\n2. Click result on the BBC website.\n3. Scroll through the PDF to read the script, noting that it takes place in a mechanical castle location.\n4. Scroll back to the first scene heading to note the answer, THE CASTLE", "Number of steps": "4", "How long did this take?": "5 minutes", "Tools": "1. Search engine\n2. Web browser\n3. PDF viewer", "Number of tools": "3" }

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{ "Steps": "1. Search the web for \"ASEAN bloc\".\n2. Click the Wikipedia result for the ASEAN Free Trade Area.\n3. Scroll down to find the list of member states.\n4. Click into the Wikipedia pages for each member state, and note its capital.\n5. Search the web for the distance between the first two capitals. The results give travel distance, not geographic distance, which might affect the answer.\n6. Thinking it might be faster to judge the distance by looking at a map, search the web for \"ASEAN bloc\" and click into the images tab.\n7. View a map of the member countries. Since they're clustered together in an arrangement that's not very linear, it's difficult to judge distances by eye.\n8. Return to the Wikipedia page for each country. Click the GPS coordinates for each capital to get the coordinates in decimal notation.\n9. Place all these coordinates into a spreadsheet.\n10. Write formulas to calculate the distance between each capital.\n11. Write formula to get the largest distance value in the spreadsheet.\n12. Note which two capitals that value corresponds to: Jakarta and Naypyidaw.\n13. Return to the Wikipedia pages to see which countries those respective capitals belong to: Indonesia, Myanmar.", "Number of steps": "13", "How long did this take?": "45 minutes", "Tools": "1. Search engine\n2. Web browser\n3. Microsoft Excel / Google Sheets", "Number of tools": "3" }

[ { "name": "ASEAN bloc", "url": "https://en.wikipedia.org/wiki/ASEAN_Free_Trade_Area" }, { "name": "ASEAN bloc", "url": "https://www.google.com/search?q=ASEAN+bloc&tbm=isch" }, { "name": "Jakarta", "url": "https://en.wikipedia.org/wiki/Jakarta" }, { "name": "Naypyidaw", "url": "https://en.wikipedia.org/wiki/Naypyidaw" }, { "name": "Indonesia", "url": "https://en.wikipedia.org/wiki/Indonesia" }, { "name": "Myanmar", "url": "https://en.wikipedia.org/wiki/Myanmar" } ]

[ { "name": "Wikipedia", "section": "ASEAN Free Trade Area" }, { "name": "Wikipedia", "section": "Jakarta" }, { "name": "Wikipedia", "section": "Naypyidaw" }, { "name": "Wikipedia", "section": "Indonesia" }, { "name": "Wikipedia", "section": "Myanmar" } ]

{ "Steps": "1. Searched \"NCATS PubChem compound database\" on Google.\n2. Opened \"PubChem\" on the NCATS NIH website.\n3. Clicked on the \"PubChem Compound\" link.\n4. Clicked on the \"Classification Browser\" link.\n5. Expanded \"Food Additives and Ingredients\" in the list.\n6. Clicked on the number link next to \"Food Additive Status\".\n7. Opened the filters and set them to maximum 100 g/mol weight, minimum 6 heavy atoms, maximum 1 H-bond acceptor, complexity 10-15.\n8. Opened the resulting \"HEXANE\" page.\n9. Scrolled to 10.6 Pharmacology and Biochemistry > Transformations.\n10. Opened the two enzyme transformations' pages (CYP2B6 and CYP2E1).\n11. Opened each one's gene-chemical co-occurrences full list.\n12. Opened each chemical they shared a co-occurrence with.\n13. Compared the weights to find the heaviest (Midazolam).\n14. Noted its PubChem CID (4192).", "Number of steps": "14", "How long did this take?": "20 minutes", "Tools": "1. Web browser\n2. Search engine", "Number of tools": "2" }

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{ "Steps": "1. Search the web for “greetham uncoupled project muse”.\n2. Click result, an article that matches the given citation.\n3. Ctrl-F for “obscured”.\n4. Find the quote from the question, which describes a “veil of print”, not a cloak.\n5. Express the answer in the specified format, No.", "Number of steps": "5", "How long did this take?": "5 minutes", "Tools": "1. Search engine\n2. Web browser", "Number of tools": "2" }

[ { "name": "Google", "url": "https://www.google.com" } ]

[ { "name": "Project Muse", "section": "search results" } ]

{ "Steps": "1. Use search engine to search for \"OpenCV change log\".\n2. Open the top result from GitHub and search the page for \"Mask-RCNN\".\n3. Observe that support for Mask-RCNN model was added in OpenCV version 4.0.0.\n4. Expand the two lists of contributors for version 4.0.0.\n5. Go to the Wikipedia page for head of government. \n6. Scan through and note that for China, the head of government is the premier.\n7. Go to the Wikipedia page for premier of the People's Republic of China.\n8. Go to the linked page for List of premiers of the People's Republic of China.\n9. Compare the list of OpenCV version 4.0.0 contributors' names and the list of premiers of China to find that Li Peng is present in both lists.", "Number of steps": "9", "How long did this take?": "5 minutes", "Tools": "1. Web browser\n2. Search engine", "Number of tools": "2" }

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{ "Steps": "1. Searched \"Omar Valencfia-Mendez 2017 shrimp paper\" on Google.\n2. Opened \"Decapoda: Palaemonidae: Hymenocera picta Dana, 1852) ...\" on https://www.threatenedtaxa.org/index.php/JoTT/article/view/3238.\n3. Clicked \"PDF/A\".\n4. Found the length of the recorded shrimp as TL in the paper (4.5cm).\n5. Searched \"G. Curt Fiedler 2002 shrimp paper\" on Google.\n6. Opened \"(PDF) The influence of social environment on sex ...\" on https://www.researchgate.net/publication/232696279_The_influence_of_social_environment_on_sex_determination_in_harlequin_shrimp_Hymenocera_picta_Decapoda_Gnathophyllidae.\n7. Found the size of the sea star fed to the shrimp (1cm).\n8. Took the percentage (1 / 4.5 * 100% = 22.22222%).\n9. Rounded to the nearest integer (22%).", "Number of steps": "9", "How long did this take?": "15 minutes", "Tools": "1. Web browser\n2. Search engine\n3. PDF access\n4. Calculator", "Number of tools": "4" }

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{ "Steps": "1. Open the document.\n2. Look at gifts and recipient interests.\n3. Match Galileo Galilei biography (could apply to astronomy or books -> Miguel or Micah)\n4. Match fishing reel (only applies to fishing -> Harry)\n5. Match Raku programming guide (Perl language, but could also apply to JavaScript enthusiast - > Fred or Jun)\n6. Match chisel set (could apply to camping or woodworking, but Harry is already fulfilled -> Jun, so Raku guide is for Fred)\n7. Match custom dice (could apply to board games or tabletop RPGs -> Lucy or Sara)\n8. Match “War and Peace” American film copy (could apply to old movies or Audrey Hepburn -> Perry or Alex)\n9. Match yarn (only applies to knitting -> Micah, so the Galileo biography is for Miguel)\n10. Match \"One Piece\" graphic novel (could apply to books or manga, but Micah already has yarn -> Alex, so the \"War and Peace\" film is for Perry)\n11. Match \"War and Peace\" novel (could apply to books or historical fiction novels, but Micah has yarn -> Tyson)\n12. Match Starbucks gift card (only applies to coffee -> Lucy, so the dice are for Sara)\n13. Match foam exercise mat (only applies to yoga -> Georgette)\n14. Note which recipients have gifts (Miguel, Harry, Fred, Jun, Sara, Perry, Micah, Alex, Tyson, Lucy, Georgette) and which does not (Rebecca).\n15. Find who was supposed to give Rebecca a gift (Fred).", "Number of steps": "15", "How long did this take?": "15 minutes", "Tools": "1. Word document access", "Number of tools": "1" }

[ { "name": "Google", "url": "https://www.google.com" } ]

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{ "Steps": "1. Searched \"National Geographic YouTube\" on Google search.\n2. Opened the National Geographic YouTube channel.\n3. Clicked \"Shorts\".\n4. Watched the oldest short (\"Which shark species is the most massive? #SharkFest #Shorts\") and noted #9 (Blacktip Reef).\n5. Searched \"blacktip reef monterey bay aquarium\" on Google search.\n6. Opened \"Blacktip reef shark\" on the Monterey Bay Aquarium website and noted the maximum length.", "Number of steps": "6", "How long did this take?": "10 minutes", "Tools": "1. Web browser\n2. Search engine\n3. Video recognition tools", "Number of tools": "3" }

[ { "name": "National Geographic YouTube", "url": "https://www.youtube.com/user/NationalGeographic" } ]

[ { "name": "Monterey Bay Aquarium", "section": "Blacktip reef shark" } ]

{ "Steps": "1. Searched \"Manash Pratim Kashyap customer retention\" on Google.\n2. Opened https://www.journalijar.com/article/26843/a-simple-model-for-analyzing-the-customer-retention-comparing-rural-and-urban-store/.\n3. Noted \"discrete time beta geometric model\" in the abstract.\n4. Searched \"PS Fader customer retention\" on Google.\n5. Opened https://www.sciencedirect.com/science/article/abs/pii/S1094996807700233.\n6. Noted \"basic model (known as a “shifted-beta-geometric”)\" in the abstract.\n7. Extracted the two words in common.", "Number of steps": "6", "How long did this take?": "10 minutes", "Tools": "1. Web browser\n2. Search engine", "Number of tools": "2" }

[ { "name": "Google", "url": "https://www.google.com" } ]

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{ "Steps": "1. Searched \"alvei copenhagen\" on Google.\n2. Opened https://en.wikipedia.org/wiki/Hafnia_(bacterium).\n3. Searched \"Ilias Lagkouvardos hafnia alvei\" on Google.\n4. Opened https://www.mdpi.com/2076-2607/11/1/123?type=check_update&version=2.\n5. Opened a new tab.\n6. Searched \"Olga Tapia hafnia alvei\" on Google.\n7. Opened https://pubmed.ncbi.nlm.nih.gov/36080356/.\n8. Found all animals mentioned in the first paper.\n9. Searched each animal from the first paper in the second paper.\n10. Noted the animals mentioned in both outside the bibliographies.\n11. Went back to the Wikipedia article.\n12. Opened the link in the references to \"The Probiotic Strain H. alvei HA4597® Improves Weight Loss in Overweight Subjects under Moderate Hypocaloric Diet: A Proof-of-Concept, Multicenter Randomized, Double-Blind Placebo-Controlled Study\".\n13. Opened the PDF.\n14. Found the animals shared by all three papers.", "Number of steps": "14", "How long did this take?": "25 minutes", "Tools": "1. Web browser\n2. Search engine\n3. PDF access", "Number of tools": "3" }

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{ "Steps": "1. Searched \"arxiv\" on Google.\n2. Opened the top result of https://arxiv.org/.\n3. Opened the High Energy Physics - Lattice section.\n4. Set the date to 2020 January.\n5. Counted the number of articles with \"ps\" formats available on each page.\n6. Added the numbers from each page to get the total.", "Number of steps": "6", "How long did this take?": "15 minutes", "Tools": "1. Search engine\n2. Web browser\n3. Calculator", "Number of tools": "3" }

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{ "Steps": "1. Use search engine to search for \"Whitney Museum of American Art collection search\".\n2. Go to the Whitney Museum's collection search webpage.\n3. Enter 2022.128 in the search box and submit the search.\n4. Open the single result, titled \"Rain in Rifle Season, Distributions from Split-Interest Trusts, Price Includes Uniform, Never Hit Soft, 2003\".\n5. Verify that this photograph has the correct accession number.\n6. Note that the subject of the photograph is holding the book \"On War\", by Carl von Clausewitz.\n7. Go to the Wikipedia page for Carl von Clausewitz.\n8. Search the page for 1813 to find that Carl von Clausewitz joined the Russian-German Legion in 1813.\n9. Go to the Wikipedia page for Russian-German Legion to verify that this was a military unit.", "Number of steps": "9", "How long did this take?": "5 minutes", "Tools": "1. Web browser\n2. Search engine\n3. Tool to extract text from images", "Number of tools": "3" }

[ { "name": "Whitney Museum of American Art collection search", "url": "https://whitney.org/collection/search" } ]

[ { "name": "Wikipedia", "section": "Carl von Clausewitz" } ]

{ "Steps": "1. Read the instructions in reverse", "Number of steps": "1", "How long did this take?": "1 minute", "Tools": "1. A word reversal tool / script", "Number of tools": "0" }

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{ "Steps": "1. Search the web for “lord of the rings wikipedia”.\n2. Click on Wikipedia result.\n3. Click “View history” to see if the page has been edited since July 3, 2023.\n4. Since it hasn’t been, return to the current revision.\n5. Ctrl-F for “song” to see if A Song of Ice and Fire is linked to on this page.\n6. Not seeing A Song of Ice and Fire on the current page, search for a link to a page that will likely mention A Song of Ice and Fire.\n7. Click the link for “High fantasy”.\n8. Click “View history” to see if the page has been edited since July 3, 2023.\n9. Since it hasn’t been, return to the current revision.\n10. Ctrl-F for “song”, and find a link to A Song of Ice and Fire.\n11. Count the links: the High fantasy page and the A Song of Ice and Fire page make two.", "Number of steps": "11", "How long did this take?": "5 minutes", "Tools": "1. Search engine\n2. Web browser\n3. Counter", "Number of tools": "3" }

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{ "Steps": "1. Open the spreadsheet\n2. Analyze the green cells.\n3. Note that the shape of Earl’s plots is not a loop. There are dead-ends that can’t be traversed without doubling back to a previously-traversed cell.", "Number of steps": "3", "How long did this take?": "1 minute", "Tools": "1. Excel\n2. Image recognition\n3. Color recognition", "Number of tools": "3" }

[ { "name": "Google", "url": "https://www.google.com" } ]

[ { "name": "Wikipedia", "section": "Earl" } ]

{ "Steps": "1. Open the spreadsheet.\n2. Go through each item, eliminating ones that have duplicates under a different name (e.g. clam = geoduck, sandwich = hoagie, dried cranberries = craisins...).\n3. (Optional) Look up any unrecognizable food names.\n4. Note the remaining unique food (turtle soup).\n5. Open the XML.\n6. Find the CATEGORIES label.\n7. Note the matching text element for the food (Soups and Stews).", "Number of steps": "7", "How long did this take?": "15 minutes", "Tools": "1. Excel file access\n2. XML file access\n3. (Optional) Web browser\n4. (Optional) Search engine", "Number of tools": "4" }

[ { "name": "Google", "url": "https://www.google.com" } ]

[ { "name": "Wikipedia", "section": "Main Page" } ]

{ "Steps": "1. Search the web for \"Virtue restaurant & bar Chicago\"\n2. Find the restaurant's website, https://www.virtuerestaurant.com\n3. Find the page for the dinner menu, https://www.virtuerestaurant.com/menus/\n4. Paste the URL of this page into the Wayback Machine at web.archive.org\n5. Open the versions of the page archived on March 22, 2021 and April 21, 2021\n6. Ensure that both pages are open to the \"dinner menu\" tab\n7. Find the \"large ration\" that was present on the March 22 version of the menu but not April 21: shrimp", "Number of steps": "7", "How long did this take?": "30 minutes", "Tools": "1. Web browser\n2. Search engine\n3. Access to the Internet Archive, web.archive.org\n4. Text processing/diff tool", "Number of tools": "4" }

[ { "name": "Virtue restaurant & bar Chicago", "url": "https://www.virtuerestaurant.com" }, { "name": "dinner menu", "url": "https://www.virtuerestaurant.com/menus/" }, { "name": "Wayback Machine", "url": "https://web.archive.org" } ]

[ { "name": "Virtue restaurant & bar Chicago", "section": "dinner menu" } ]

{ "Steps": "1. Determine the truth values of the first statement: Recognize this is one of De Morgan's Laws showing how to distribute negation over the and conjunction - so it is a tautology.\n2. Determine the truth values of the second statement: Recognize this is one of De Morgan's Laws showing how to distribute negation over the or - so it is a tautology.\n3. Determine the truth values of the third statement: Recognize this is the definition of the contrapositive - so it is a tautology.\n4. Determine the truth values of the fourth statement: Recognize this as an alternative way of stating the conditional - so it is a tautology.\n5. Determine the truth values of the fifth statement: I don't recognize this, so check its truth values:\n6. A: True, B: True | (¬A → B) ↔ (A ∨ ¬B) = (¬T → T) ↔ (T ∨ ¬T) = (F → T) ↔ (T ∨ F) = T ↔ T = T\n7. A: True, B: False | (¬A → B) ↔ (A ∨ ¬B) = (¬T → F) ↔ (T ∨ ¬F) = (F → F) ↔ (T ∨ T) = T ↔ T = T\n8. A: False, B: True | (¬A → B) ↔ (A ∨ ¬B) = (¬F → T) ↔ (F ∨ ¬T) = (T → T) ↔ (F ∨ ¬T) = T ↔ (F ∨ F) = T ↔ F = F\n9. The fifth statement is not a tautology so is the statement that is not logically equivalent. We were asked for only one statement, so can stop here.", "Number of steps": "9", "How long did this take?": "5-20 minutes", "Tools": "None", "Number of tools": "0" }

[ { "name": "Google", "url": "https://www.google.com" } ]

[ { "name": "Wikipedia", "section": "De Morgan's Laws" } ]

{ "Steps": "1. Calculate the number of adults (mother, father, brother, brother's wife, aunt, aunt's husband, grandma, grandma's brother, grandma's brother's daughter, grandma's brother's daughter's husband, me = 11).\n2. Calculate the number of children (niece, nephew, cousin, grandma's brother's daughter's kids x3 = 6).\n3. Subtract the number of second cousins (grandma's brother's daughter's kids) (6 - 3 = 3).\n4. Calculate the adult potatoes (11 * 1.5 = 16.5).\n5. Calculate the child potatoes (3 * 0.5 = 1.5).\n6. Add to get the total potatoes (16.5 + 1.5 = 18).\n7. Multiply to get the pounds of potatoes (18 * 0.5 = 9 pounds).\n8. Calculate the number of 5-lb bags needed (9 / 5 = 1.8).\n9. Round up to get total bags (2).", "Number of steps": "9", "How long did this take?": "8 minutes", "Tools": "1. Calculator", "Number of tools": "1" }

[ { "name": "Google", "url": "https://www.google.com" } ]

[ { "name": "Wikipedia", "section": "Potato" } ]

{ "Steps": "1. Searched \"Hreidmar's sons\" on Google.\n2. Opened https://en.wikipedia.org/wiki/Hrei%C3%B0marr.\n3. Noted Fafnir guarded his house.\n4. Searched \"Emily Midkiff June 2014 Fafnir\" on Google.\n5. Opened \"Fafnir 2/2014 |\" at http://journal.finfar.org/journal/archive/fafnir-22014/.\n6. Clicked the title '“Dragons are Tricksy”: The Uncanny Dragons of Children’s Literature'.\n7. Found the word in quotation marks from two different authors (Ruth Stein and Margaret Blount) in the text.", "Number of steps": "7", "How long did this take?": "10 minutes", "Tools": "1. Web browser\n2. Search engine", "Number of tools": "2" }

[ { "name": "Google", "url": "https://www.google.com" } ]

[ { "name": "Wikipedia", "section": "HreiÐmarr" } ]

{ "Steps": "1. search \"Fiona Apple discography\"\n2. find her album released prior to 1999 was \"Tidal\"\n3. search \"Paula Cole discography\"\n4. find her album released prior to 1999 was \"This Fire\" and \"Harbinger\".\n5. search \"Robert Christgau\"\n6. use his website to search \"Fiona Apple\"\n7. note his review for Tidal was an emoticon, not a letter grade\n8. use his website to search \"Paula Cole\"\n9. note his review for This Fire was a C+ and that he did not review Harbinger.", "Number of steps": "9", "How long did this take?": "10 minutes", "Tools": "1. web browser\n2. search engine", "Number of tools": "2" }

[ { "name": "Robert Christgau", "url": "https://www.robertchristgau.com/" } ]

[ { "name": "Robert Christgau", "section": "search for artist" } ]

{ "Steps": "1. Searched \"Bielefeld University Library's BASE\" on Google.\n2. Opened https://www.base-search.net/.\n3. Clicked \"Browsing\".\n4. Selected Clicked \"Dewey Decimal Classification (DDC) > 6 > 63 > 633.\n5. Refined to Unknown Language.\n6. Found the only article with a flag unique from the others in the search from pre-2020.\n7. Copied the country name from the institution.", "Number of steps": "7", "How long did this take?": "10 minutes", "Tools": "1. Web browser\n2. Search engine", "Number of tools": "2" }

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{ "Steps": "1. Opened replit.com.\n2. Clicked \"Blog\".\n3. Searched \"vscode\".\n4. Opened \"Zero Setup VSCode Intelligence\" from 2018.\n5. Scrolled down to the bottom video.\n6. Noted the command used (Format Document).", "Number of steps": "6", "How long did this take?": "5 minutes", "Tools": "1. Web browser\n2. GIF parsing tools", "Number of tools": "2" }

[ { "name": "Google", "url": "https://www.google.com" } ]

[ { "name": "replit.com", "section": "Blog" } ]

{ "Steps": "1. Search \"Tropicos ID Order Helotiales\"\n2. Find the correct ID on the first result\n3. Search \"isbn 10 check digit calculator\" or calculate check digit by hand", "Number of steps": "3", "How long did this take?": "5 minutes", "Tools": "1. web browser\n2. search engine\n3. calculator", "Number of tools": "3" }

[ { "name": "Tropicos", "url": "https://tropicos.org/" }, { "name": "ISBN check digit calculator", "url": "https://www.isbn-check-digit-calculator.com/" } ]

[ { "name": "Google", "section": "search results" } ]

{ "Steps": "1. Search the web for “tri rail ridership may 2019”.\n2. Click result for Tri-Rail website.\n3. Click drop-down for 2019.\n4. Click PDF for May 2019 ridership report.\n5. Scroll down to find the statistics for each train.\n6. Locate the ridership numbers for the 27th, and scroll to find the train with the highest number for that day: train number P685.\n7. Search the web for “tri rail schedule may 2019”.\n8. Click result for Tri-Rail website.\n9. Noticing that the train doesn’t appear on the weekday schedule, click the link for the weekend/holiday schedule. May 27th may have been a holiday.\n10. Locate the time that P685 is scheduled to arrive at Pompano Beach: 6:41 PM.\n11. To confirm, search “may 2019 holidays”.\n12. Verify that May 27th, 2019 was the Memorial Day holiday.\n13. Since the Tri-Rail website didn’t give a date for its schedule, search the web for “tri rail schedule changes” to see if the schedule has changed since 2019.\n14. The only result mentioning a schedule change dates to 2015, so 6:41 PM seems like the answer.", "Number of steps": "14", "How long did this take?": "5-10 minutes", "Tools": "1. Search engine\n2. Web browser\n3. PDF viewer", "Number of tools": "3" }

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{ "Steps": "Step 1: Load the audio file my user submitted with the query\nStep 2: Using speech-to-text tools, convert the audio to plain text, and store the text for evaluation:\n\n\"Okay guys before we call it for the week I've got one little bonus assignment. The following quotation is actually an anagram of one of the bard's most well known lines. I'd like you all to think about it and anyone who can provide the original line will get an automatic A on next week's quiz. Here's the anagram. In one of the bard's best thought of tragedies our insistent hero Hamlet queries on two fronts about how life turns rotten.\"\n\nStep 3: Evaluate the transcribed text for relevant information:\nThe transcribed text references \"the bard\" twice\nThe text contains the anagram to solve: \"In one of the bard's best thought of tragedies our insistent hero Hamlet queries on two fronts about how life turns rotten\"\nThe decoded text resolves as a well-known line of \"the bard\"\n\nStep 4: Using a web browser, access a search engine and conduct a search, \"who is the bard\"\nStep 5: Navigate to the first search result, https://www.vocabulary.com/dictionary/bard\nStep 6: Evaluate the page content, noting that the page identifies William Shakespeare as \"The Bard\"\nStep 7: Navigate to a search engine and conduct a search, \"William Shakespeare, In one of the bard's best thought of tragedies our insistent hero Hamlet queries on two fronts about how life turns rotten\"\nStep 8: Navigate to the first search result, https://www.chem.ucla.edu/~ltfang/humors/anagram.html\nStep 9: Evaluate the page content, noting that the page identifies the anagram of \"In one of the bard's best thought of tragedies our insistent hero Hamlet queries on two fronts about how life turns rotten\" as \"To be or not to be: that is the question, whether tis nobler in the mind to suffer the slings and arrows of outrageous fortune\"\nStep 10: Compare the information provided by the website resource to the original text, to determine if the original text and the candidate solution share the same letters. As this is the case, store this anagram as a candidate solution.\nStep 11: Navigate to a search engine and conduct a search, \"William Shakespeare, To be or not to be: that is the question, whether tis nobler in the mind to suffer the slings and arrows of outrageous fortune\"\nStep 12: Navigate to the first search result, https://poets.org/poem/hamlet-act-iii-scene-i-be-or-not-be\nStep 13: Evaluate the page content, learning that the phrase \"To be or not to be: that is the question, whether tis nobler in the mind to suffer the slings and arrows of outrageous fortune\" is a line from William Shakespeare's play Hamlet, which corresponds with both the clue provided by the professor in the initial text and the clue provided in the anagrammed text.\nStep 14: Confirming the accuracy of the surfaced result, provide the correct response to my user, formatted as requested, \"To be or not to be that is the question whether tis nobler in the mind to suffer the slings and arrows of outrageous fortune\"", "Number of steps": "14", "How long did this take?": "5 minutes", "Tools": "1. A web browser\n2. A search engine\n3. A speech-to-text tool", "Number of tools": "3" }

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{ "Steps": "1. Opened the Job Listing PDF.\n2. Opened the Applicants Excel file.\n3. Used conditional formatting to highlight rows in each column that don't meet a qualification.\n4. Counted the rows with only one missing qualification.", "Number of steps": "4", "How long did this take?": "8 minutes", "Tools": "1. PDF access\n2. Excel file access", "Number of tools": "2" }

[ { "name": "Google", "url": "https://www.google.com" } ]

[ { "name": "Facebook", "section": "login" } ]

{ "Steps": "1. Search the web for “world building transmedia fans industries”.\n2. Click link to PDF of the book.\n3. Navigate to the Media Cited section of the essay written by Valentina Re.\n4. Identify the horror movie, A Nightmare on Elm Street.\n5. Navigate to its mention in the essay, to confirm that it does relate to metalepsis from a dream world.", "Number of steps": "5", "How long did this take?": "5-10 minutes", "Tools": "1. Search engine\n2. Web browser\n3. PDF viewer", "Number of tools": "3" }

[ { "name": "Google", "url": "https://www.google.com" } ]

[ { "name": "Google", "section": "search results" } ]

{ "Steps": "1. Determine the order of words from the prompt (Verb - Object - Subject).\n2. Determine the present form of Like (\"Maktay\")\n3. Determined that since the person doing the liking is the object of the sentence, the next word must be the one for oneself in object form.\n4. Determined the accusative form for onesself (\"mato\").\n5. Determined the nominative form for apple. (\"apple\").\n6. Put the words together in the correct order.", "Number of steps": "6", "How long did this take?": "2 minutes", "Tools": "None", "Number of tools": "0" }

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{ "Steps": "1. I searched for \"Metropolitan Museum of Art search collection\" using a search engine to get to the \"Search the Collection\" page on the Metropolitan Museum of Art's website.\n2. I selected \"Accession Number\" in the search field dropdown and entered \"29.100.5\" into the text input, noting that the only result is a portrait titled \"Cardinal Fernando Niño de Guevara (1541–1609)\"\n3. I went to Fernando Niño de Guevara's Wikipedia page and noted that he was consecrated bishop by Pope Clement VIII with Camillo Borghese and Alfonso Visconti as co-consecrators.\n4. I eliminated Pope Clement VIII as the answer since he was obviously a pope based on his title.\n5. I went to Camillo Borghese's Wikipedia page and noted that he became Pope Paul V, eliminating him as the answer.\n6. I went to Alfonso Visconti's Wikipedia page and noted that he never became pope, so the answer to the question is \"Alfonso Visconti\".", "Number of steps": "6", "How long did this take?": "5 minutes", "Tools": "1. Web browser\n2. Search engine", "Number of tools": "2" }

[ { "name": "Metropolitan Museum of Art search collection", "url": "https://www.metmuseum.org/search-results" } ]

[ { "name": "Wikipedia", "section": "Fernando Niño de Guevara" } ]

{ "Steps": "1. Searched \"nature scientific reports\" on Google.\n2. Opened https://www.nature.com/srep/.\n3. Selected Explore Content > Research Articles.\n4. Filtered for Conference Proceedings from 2012.\n5. Opened each article link.\n6. Checked for \"plasmon\" or \"plasmonic\".\n7. Noted the nano-compound in the article that did not include either.", "Number of steps": "7", "How long did this take?": "10 minutes", "Tools": "1. Web browser\n2. Search engine", "Number of tools": "2" }

[ { "name": "Nature Scientific Reports", "url": "https://www.nature.com/srep/" } ]

[ { "name": "Google", "section": "search bar" } ]

{ "Steps": "1. Open the attached spreadsheet.\n2. Write formulas that divide each row’s revenue by its rent. This will tell me how much each vendor makes relative to its rent.\n3. Note the value in the type column for the lowest result, Finance.", "Number of steps": "3", "How long did this take?": "5 minutes", "Tools": "1. Microsoft Excel\n2. Calculator", "Number of tools": "2" }

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{ "Steps": "1. typed in \"Google finance apple\" on browser\n2. clicked first link\n3. clicked \"max\" to display entire history of apple stock\n4. hovered mouse around the area that line crosses over $50\n5. noted the date", "Number of steps": "5", "How long did this take?": "4 minutes", "Tools": "1. Web browser\n2. Search engine\n3. code/data analysis tools", "Number of tools": "2" }

[ { "name": "Google finance apple", "url": "https://www.google.com/search?q=google+finance+apple" } ]

[ { "name": "Google finance", "section": "search results" } ]

{ "Steps": "Step 1: Evaluate the position of the pieces in the chess position\nStep 2: Report the best move available for black: \"Rd5\"", "Number of steps": "2", "How long did this take?": "10 minutes", "Tools": "1. Image recognition tools", "Number of tools": "1" }

[ { "name": "Google", "url": "https://www.google.com" } ]

[ { "name": "Stack Overflow", "section": "questions" } ]

{ "Steps": "1. Google searched \"Box Office Mojo's 2020 Worldwide Box Office\".\n2. Clicked on the first result: Box Office Mojo, https://www.boxofficemojo.com/year/world/2020/, 2020 Worldwide Box Office.\n3. Looked at the top 10 highest-grossing worldwide movies of 2020: 1. The Eight Hundred, 2. Demon Slayer the Movie: Mugen Train, 3. Bad Boys for Life, 4. My People, My Homeland, 5. Tenet, 6. Sonic the Hedgehog, 7. Dolittle, 8. Legend of Deification, 9. A Little Red Flower, 10. The Croods: A New Age.\n4. Clicked on the column labeled \"Domestic\" to sort by highest-grossing domestic movies of 2020.\n5. Looked at the first 10 movies on the list: Bad Boys for Life, Sonic the Hedgehog, Birds of Prey, Dolittle, The Invisible Man, The Call of the Wild, Onward, The Croods: A New Age, Tenet, Demon Slayer the Movie: Mugen Train.\n6. For each of these movies: If the number under \"Rank\" is less than or equal to 10, then the movie is also among the top 10 highest-grossing worldwide movies of 2020.\n7. Form the final list: Bad Boys for Life, Sonic the Hedgehog, Dolittle, The Croods: A New Age, Tenet, Demon Slayer the Movie: Mugen Train.\n8. Count the number of movies on the list: 6,", "Number of steps": "8", "How long did this take?": "15 minutes", "Tools": "1. Web Browser\n2. Search Engine", "Number of tools": "2" }

[ { "name": "Box Office Mojo", "url": "https://www.boxofficemojo.com/year/world/2020/" } ]

[ { "name": "Box Office Mojo", "section": "2020 Worldwide Box Office" } ]

{ "Steps": "1. Searched \"legume wikipedia\" on Google.\n2. Opened \"Legume\" on Wikipedia.\n3. Clicked \"View history\".\n4. Clicked \"View logs for this page\".\n5. Checked all types of logs.\n6. Set the date to November 2022.\n7. Followed the BLP link of the violation.\n8. Noted the meaning of \"R\".", "Number of steps": "8", "How long did this take?": "10 minutes", "Tools": "1. Web browser\n2. Search engine", "Number of tools": "2" }

[ { "name": "Google", "url": "https://www.google.com" } ]

[ { "name": "Wikipedia", "section": "Legume" } ]

{ "Steps": "1. Search \"Wikipedia featured articles promoted in november 2016\"\n2. Click through to the appropriate page and find the person who nominated Giganotosaurus.", "Number of steps": "2", "How long did this take?": "5 minutes", "Tools": "1. web browser\n2. search engine", "Number of tools": "2" }

[ { "name": "Wikipedia", "url": "https://en.wikipedia.org/wiki/Wikipedia:Featured_articles_promoted_in_2016" } ]

[ { "name": "Wikipedia", "section": "Wikipedia:Featured_articles_promoted_in_2016" } ]

{ "Steps": "1. Search \"merriam-webster word of the day\" on Google search.\n2. Opened the top \"Word of the Day\" result from the Merriam-Webster dictionary online.\n3. Clicked \"SEE ALL WORDS OF THE DAY\" at the bottom.\n4. Scrolled down to June 27, 2022.\n5. Opened the Word of the Day (\"jingoism\").\n6. Scrolled down and identified context quote for \"jingoism\".\n7. Noted the name attributed to the quote. ", "Number of steps": "7", "How long did this take?": "8 minutes", "Tools": "1. Web browser\n2. Search engine\n3. Audio capability", "Number of tools": "3" }

[ { "name": "Merriam-Webster", "url": "https://www.merriam-webster.com/" } ]

[ { "name": "Google", "section": "search" } ]

{ "Steps": "1. Open a web browser\n2. Go to a search engine\n3. Search for \"2023 IPCC report\"\n4. Click on the link for \"AR6 Synthesis Report: Climate Change 2023\" \n5. Click on \"Read the Report\"\n6. Click on \"SYR (Full volume)\n7. Check the page count of the PDF\n8. Go back to the previous page (report is too long)\n9. Click on \"Longer Report\"\n10. Check the page count of the PDF\n11. Search for \"nuclear energy\" within the PDF\n12. Look at the total number of hits", "Number of steps": "12", "How long did this take?": "4 minutes", "Tools": "1. Web browser\n2. Search engine\n3. PDF reader ", "Number of tools": "3" }

[ { "name": "Google", "url": "https://www.google.com" } ]

[ { "name": "Google", "section": "search" } ]

{ "Steps": "1. Compile the markdown.\n2. Look at the table across the diagonal to see if any portions are not symmetrical.\n3. See that b * e != e * b, but all others are symmetrical.", "Number of steps": "3", "How long did this take?": "5 minutes", "Tools": "1. Markdown", "Number of tools": "1" }

[ { "name": "Google", "url": "https://www.google.com" } ]

[ { "name": "Stack Overflow", "section": "questions" } ]

{ "Steps": "1. Consider the numbers as if the first potential columns were the ones transposed, which would be smallest index 3 giving solution (n, 3).\n2. \"Fix\" the columns in the first number and see if any n from 1-9 can generate the proper check digit. Calculations:\n978-354181391-9\n978-534181391-9\n(9+7n+8+5n+3+4n+1+8n+1+3n+9+1n) mod 10 ≡ (10 - 9)\nn = 5 is our only possible solution if these are the transposed columns.\n3. \"Fix\" the columns in the second number and see if n = 5 is still a solution:\n978-946669746-1\n978-496669746-1\n(9+7n+8+4n+9+6n+6+6n+9+7n+4+6n) mod 10 ≡ (10 - 1)\nWhen n = 5, (9+7n+8+4n+9+6n+6+6n+9+7n+4+6n) mod 10 ≡ 5, so this fails. There is no consistent solution if columns 3 and 4 are transposed.\n4. See if there is a valid solution for (n, 4) or columns 4 and 5 transposed under some weight n.\n5. \"Fix\" the columns in the first number and see if any n from 1-9 can generate the proper check digit. Calculations:\n978-354181391-9\n978-345181391-9\n(9+7n+8+3n+4+5n+1+8n+1+3n+9+1n) mod 10 ≡ (10 - 9)\nn = 7 is our only possible solution if these are the transposed columns.\n6. \"Fix\" the columns in the second number and see if n = 7 is still a solution:\n978-946669746-1\n978-964669746-1\n(9+7n+8+9n+6+4n+6+6n+9+7n+4+6n) mod 10 ≡ (10 - 1)\nWhen n = 7, (9+7n+8+9n+6+4n+6+6n+9+7n+4+6n) mod 10 ≡ 5, so this fails. There is no consistent solution if columns 4 and 5 are transposed.\n7. See if there is a valid solution for (n, 5) or columns 5 and 6 transposed under some weight n.\n8. \"Fix\" the columns in the first number and see if any n from 1-9 can generate the proper check digit. Calculations:\n978-354181391-9\n978-351481391-9\n(9+7n+8+3n+5+1n+4+8n+1+3n+9+1n) mod 10 ≡ (10 - 9)\nn = 5 is our only possible solution if these are the transposed columns.\n9. \"Fix\" the columns in the second number and see if n = 5 is still a solution:\n978-946669746-1\n978-946669746-1\n(9+7n+8+9n+4+6n+6+6n+9+7n+4+6n) mod 10 ≡ (10 - 1)\nWhen n = 5, (9+7n+8+9n+4+6n+6+6n+9+7n+4+6n) mod 10 ≡ 5, so this fails. There is no consistent solution if columns 5 and 6 are transposed.\n10. See if there is a valid solution for (n, 6) or columns 6 and 7 transposed under some weight n.\n11. \"Fix\" the columns in the first number and see if any n from 1-9 can generate the proper check digit. Calculations:\n978-354181391-9\n978-354811391-9\n(9+7n+8+3n+5+4n+8+1n+1+3n+9+1n) mod 10 ≡ (10 - 9)\nn = 9 is our only possible solution if these are the transposed columns.\n12. \"Fix\" the columns in the second number and see if n = 9 is still a solution:\n978-946669746-1\n978-946669746-1\n(9+7n+8+9n+4+6n+6+6n+9+7n+4+6n) mod 10 ≡ (10 - 1)\nWhen n = 9, (9+7n+8+9n+4+6n+6+6n+9+7n+4+6n) mod 10 ≡ 9, so this solution holds for the second number.\n13. \"Fix\" the columns in the third number and see if n = 9 is still a solution:\n978-398036139-6\n978-398306139-6\n(9+7n+8+3n+9+8n+3+0n+6+1n+3+9n) mod 10 ≡ (10 - 6)\nWhen n = 9, (9+7n+8+3n+9+8n+3+0n+6+1n+3+9n) mod 10 ≡ 0, so this fails. There is no consistent solution if columns 6 and 7 are transposed.\n14. See if there is a valid solution for (n, 7) or columns 7 and 8 transposed under some weight n.\n15. \"Fix\" the columns in the first number and see if any n from 1-9 can generate the proper check digit. Calculations:\n978-354181391-9\n978-354118391-9\n(9+7n+8+3n+5+4n+1+1n+8+3n+9+1n) mod 10 ≡ (10 - 9)\nn = 9 is our only possible solution if these are the transposed columns.\n16. \"Fix\" the columns in the second number and see if n = 9 is still a solution:\n978-946669746-1\n978-946696746-1\n(9+7n+8+9n+4+6n+6+9n+6+7n+4+6n) mod 10 ≡ (10 - 1)\nWhen n = 9, (9+7n+8+9n+4+6n+6+9n+6+7n+4+6n) mod 10 ≡ 3, so this fails. There is no consistent solution if columns 7 and 8 are transposed.\n17. See if there is a valid solution for (n, 8) or columns 8 and 9 transposed under some weight n.\n18. \"Fix\" the columns in the first number and see if any n from 1-9 can generate the proper check digit. Calculations:\n978-354181391-9\n978-354183191-9\n(9+7n+8+3n+5+4n+1+8n+3+1n+9+1n) mod 10 ≡ (10 - 9)\nn = 4 and n = 9 are both possible solutions to this modular equation.\n19. \"Fix\" the columns in the second number and see if n = 4 and n = 9 are still solutions:\n978-946669746-1\n978-946667946-1\n(9+7n+8+9n+4+6n+6+6n+7+9n+4+6n) mod 10 ≡ (10 - 1)\nWhen n = 4, (9+7n+8+9n+4+6n+6+6n+7+9n+4+6n) mod 10 ≡ 0. When n = 9, (9+7n+8+9n+4+6n+6+6n+7+9n+4+6n) mod 10 ≡ 5. As neither solution found works for the second number, this fails. There is no consistent solution if columns 8 and 9 are transposed.\n20. See if there is a valid solution for (n, 9) or columns 9 and 10 transposed under some weight n.\n21. \"Fix\" the columns in the first number and see if any n from 1-9 can generate the proper check digit. Calculations:\n978-354181391-9\n978-354181931-9\n(9+7n+8+3n+5+4n+1+8n+1+9n+3+1n) mod 10 ≡ (10 - 9)\nn = 2 and n = 7 are both possible solutions to this modular equation.\n22. \"Fix\" the columns in the second number and see if n = 2 and n = 7 are still solutions:\n978-946667946-1\n978-946667496-1\n(9+7n+8+9n+4+6n+6+6n+7+4n+9+6n) mod 10 ≡ (10 - 1)\nWhen n = 2, (9+7n+8+9n+4+6n+6+6n+7+4n+9+6n) mod 10 ≡ 9 and when n = 7 (9+7n+8+9n+4+6n+6+6n+7+4n+9+6n) mod 10 ≡ 9, so both n = 2 and n = 7 remain consistent.\n23. \"Fix\" the columns in the third number and see if n = 2 and n = 7 are still solutions:\n978-398036139-6\n978-398036319-6\n(9+7n+8+3n+9+8n+0+3n+6+3n+1+9n) mod 10 ≡ (10 - 6)\nWhen n = 2, (9+7n+8+3n+9+8n+0+3n+6+3n+1+9n) mod 10 ≡ 9, so n cannot be 2. When n = 7, (9+7n+8+3n+9+8n+0+3n+6+3n+1+9n) mod 10 ≡ 4, so this solution is still consistent.\n24. \"Fix\" the columns in the fourth number and see if n = 7 is still a solution:\n978-447656680-4\n978-447656860-4\nWhen n = 7, (9+7n+8+4n+4+7n+6+5n+6+8n+6+0n) mod 10 ≡ (10 - 4)\n(9+7n+8+4n+4+7n+6+5n+6+8n+6+0n) mod 10 ≡ 6, so n = 7 is still a potential solution.\n24. \"Fix\" the columns in the fifth number and see if n = 7 is still a solution:\n978-279586664-7\n978-279586664-7\n(9+7n+8+2n+7+9n+5+8n+6+6n+6+4n) mod 10 ≡ (10 - 7)\nWhen n = 7, (9+7n+8+2n+7+9n+5+8n+6+6n+6+4n) mod 10 ≡ 3, so n = 7 is still a potential solution.\n24. \"Fix\" the columns in the sixth number and see if n = 7 is still a solution:\n978-595073693-3\n978-595073963-3\n(9+7n+8+5n+9+5n+0+7n+3+9n+6+3n) mod 10 ≡ (10 - 3)\nWhen n = 7, (9+7n+8+5n+9+5n+0+7n+3+9n+6+3n) mod 10 ≡ 7, so n = 7 is still a potential solution.\n25. \"Fix\" the columns in the seventh number and see if n = 7 is still a solution:\n978-976647652-6\n978-976647562-6\n(9+7n+8+9n+7+6n+6+4n+7+5n+6+2n) mod 10 ≡ (10 - 6)\nWhen n = 7, (9+7n+8+9n+7+6n+6+4n+7+5n+6+2n) mod 10 ≡ 4, so n = 7 is still a potential solution.\n26. \"Fix\" the columns in the eighth number and see if n = 7 is still a solution:\n978-591178125-5\n978-591178215-5\n(9+7n+8+5n+9+1n+1+7n+8+2n+1+5n) mod 10 ≡ (10 - 5)\nWhen n = 7, (9+7n+8+5n+9+1n+1+7n+8+2n+1+5n) mod 10 ≡ 5, so n = 7 is still a potential solution.\n27. \"Fix\" the columns in the ninth number and see if n = 7 is still a solution:\n978-728465924-5\n978-728465294-5\n(9+7n+8+7n+2+8n+4+6n+5+2n+9+4n) mod 10 ≡ (10 - 5)\nWhen n = 7, (9+7n+8+7n+2+8n+4+6n+5+2n+9+4n) mod 10 ≡ 5, so n = 7 is still a potential solution.\n28. \"Fix\" the columns in the final number and see if n = 7 is still a solution:\n978-414825155-9\n978-414825515-9\n(9+7n+8+4n+1+4n+8+2n+5+5n+1+5n) mod 10 ≡ (10 - 9)\nWhen n = 7, (9+7n+8+4n+1+4n+8+2n+5+5n+1+5n) mod 10 ≡ 1, so n = 7 is a consistent solution for all the numbers given. This means that (7, 9) is a solution to the problem.\n29. As the problem asks for all possible solutions, we need to check to see if there is a valid solution for (n, 10) or columns 10 and 11 transposed under some weight n even though we found a solution already. It is possible the solution we found is not unique.\n30. \"Fix\" the columns in the first number and see if any n from 1-9 can generate the proper check digit. Calculations:\n978-354181391-9\n978-354181319-9\n(9+7n+8+3n+5+4n+1+8n+1+3n+1+9n) mod 10 ≡ (10 - 9)\nn = 4 and n = 9 are both possible solutions to this modular equation.\n31. \"Fix\" the columns in the second number and see if n = 4 and n = 9 are still solutions:\n978-946669746-1\n978-946669764-1\n(9+7n+8+9n+4+6n+6+6n+9+7n+6+4n) mod 10 ≡ (10 - 1)\nWhen n = 4, (9+7n+8+9n+4+6n+6+6n+9+7n+6+4n) mod 10 ≡ 8, so n cannot be 4. When n = 9, (9+7n+8+9n+4+6n+6+6n+9+7n+6+4n) mod 10 ≡ 3, so n cannot be 9. As neither solution found works for the second number, this fails. There is no consistent solution if columns 10 and 11 are transposed.\n32. We checked all possible forms of the error and found only one potential solution, (7, 9) so this is our only answer.", "Number of steps": "32", "How long did this take?": "60 minutes", "Tools": "1. a calculator", "Number of tools": "1" }

[ { "name": "Wikipedia", "url": "https://en.wikipedia.org/wiki/ISBN" } ]

[ { "name": "ISBN", "section": "ISBN-10 check digit calculation" } ]

{ "Steps": "1. Open a web browser\n2. Navigate to en.wikipedia.org\n3. Search for \"lego\"\n4. Click on \"View history\"\n5. Click on \"Page statistics\"\n6. Click on \"Month counts\"\n7. In the \"Month counts\" table, click on the edits for the latest month in 2022 (2022-12)\n8. Click on the latest link on the page, \"02:02, 21 December 2022‎\"\n9. Click on \"View source\"\n10. Read to confirm if the source is from the given version (unable to determine)\n11. Go back one page\n12. Visually count the number of images displayed on the page", "Number of steps": "12", "How long did this take?": "6 minutes", "Tools": "1. Web browser\n2. Access to Wikipedia\n3. Image recognition tools", "Number of tools": "3" }

[ { "name": "Wikipedia", "url": "https://en.wikipedia.org" } ]

[ { "name": "Wikipedia", "section": "lego" } ]

{ "Steps": "1. Open the file.\n2. Count books where the author is “Rick Riodan” and the status is either “Checked Out” or “Overdue”.", "Number of steps": "2", "How long did this take?": "1 minute", "Tools": "1. PDF viewer", "Number of tools": "1" }

[ { "name": "Google", "url": "https://www.google.com" } ]

[ { "name": "Wikipedia", "section": "Rick Riordan" } ]

{ "Steps": "Step 1: Using a web browser, navigate to a search engine and conduct a search: \"James Cheater Cheater Beater CFM Season 4\"\nStep 2: Finding no relevant result, navigate to a search engine and conduct another search: \"Cheater Beater Season 4\"\nStep 3: Navigate to the first search result, https://www.youtube.com/watch?v=2vq3COPZbKo\nStep 4: Evaluate the YouTube page, noting that the video description identifies the video content comparing the performance of computer fans to a fan referred to as the \"cheater\"\nStep 5: Follow the link to the YouTube channel Major Hardware, https://www.youtube.com/@MajorHardware\nStep 6: Navigate to the About tab link, https://www.youtube.com/@MajorHardware/about\nStep 7: Evaluate the content, noting that the page identifies the operator of the channel as James\nStep 8: Navigate to a search engine and conduct a search, \"James Major Hardware Cheater Beater\"\nStep 9: Navigate to the first result, identical to the result from step 3 above, https://www.youtube.com/watch?v=2vq3COPZbKo\nStep 10: Search the page for CFM, finding no result\nStep 11: Load the video content and review it\nStep 12: Note an onscreen text element identifying a fan as \"CALL SIGN: CHEATER BEATER\" at timestamp 224\nStep 13: Note an onscreen table identifying the performance of various fans tested during season four, at timestamp 485\nStep 14: Evaluate the table content, identifying an entry for a fan named \"Cheater\" and a fan named \"Cheater Beater\"\nStep 15: Evaluate the table content, identifying that the data for both fans were recorded in season 4, S4E1 for Cheater, S4E6 for Cheater Beater\nStep 16: Record the data from the CFM column for the two fans, \"Cheater: 101.376\", and \"Cheater Beater: 84.348\"\nStep 17: Report the correct response to my user:\n\"Cheater: 101.376\nCheater Beater: 84.348\"", "Number of steps": "17", "How long did this take?": "15 minutes", "Tools": "1. A web browser\n2. A search engine\n3. Image recognition tools", "Number of tools": "3" }

[ { "name": "YouTube", "url": "https://www.youtube.com/watch?v=2vq3COPZbKo" }, { "name": "YouTube", "url": "https://www.youtube.com/@MajorHardware" }, { "name": "YouTube", "url": "https://www.youtube.com/@MajorHardware/about" } ]

[ { "name": "YouTube", "section": "About" } ]

{ "Steps": "1. Find the fractions that use / as the fraction line before the sample problems start: 3/4,1/4,3/4,3/4,2/4,1/2,5/35,7/21,30/5,30/5\n2. Solve the sample problems:\n3. Problem 1: 3/4\n4. Problem 2: 1/15\n5. Problem 3: 1/3\n6. Problem 4: 4/9\n7. Problem 5: 1/8\n8. Problem 6: 32/23\n9. Problem 7: 103/170\n10: Add them to the list. There were no more fractions with a / as the fraction line, so they can just be added in order: 3/4,1/4,3/4,3/4,2/4,1/2,5/35,7/21,30/5,30/5,3/4,1/15,1/3,4/9,1/8,32/23,103/170", "Number of steps": "10", "How long did this take?": "5 minutes", "Tools": "1. image recognition/OCR\n2. calculator", "Number of tools": "2" }

[ { "name": "Google", "url": "https://www.google.com" } ]

[ { "name": "Wikipedia", "section": "Main Page" } ]

{ "Steps": "1. Search the web for “dragon wikipedia”.\n2. Click the Wikipedia result.\n3. Click “View history” to see changes made to the page.\n4. Navigate through the edits until I get to the beginning of 2008.\n5. Browse the edits before 2008 for a change made on February 29, which would be a leap day.\n6. Find an edit made on February 29, 2004, with a comment indicating the prior edit was humorous.\n7. Click the February 29 version of the page, and examine it.\n8. Return to the revision history, and click the previous version of the page.\n9. Note the phrase at the top of the page that wasn’t present in the later version: “Here be dragons”.", "Number of steps": "9", "How long did this take?": "10-15 minutes", "Tools": "1. Search engine\n2. Web browser", "Number of tools": "2" }

[ { "name": "Wikipedia", "url": "https://en.wikipedia.org/wiki/Dragon" } ]

[ { "name": "Wikipedia", "section": "View history" } ]

{ "Steps": "1. Searched \"volume from pressure, temperature, mass\" on Google.\n2. Opened the \"Specific Volume: Definition, Formulas, Examples - ThoughtCo\" page.\n3. Noted that PV = nRT where V is volume, R is the ideal gas constant, T is temperature, P is pressure, and M is moles.\n4. Followed the \"gas constant\" link.\n5. Noted that R = 8.31446261815324 J/K-mol.\n6. Searched \"Freon-12\" on Google.\n7. Opened the \"Dichlorodifluoromethane\" on Wikipedia.\n8. Noted the molar mass of 120.91 g/mol.\n9. Converted 0.312 kg = 312 g.\n10. Calculated moles: 312 g / 120.91 g/mol = 2.58 mol.\n11. Searched \"Marianas Trench pressure\" on Google.\n12. Noted the pressure in the featured text snippet of 15,750 psi.\n13. Searched \"psi to atm\" on Google.\n14. Noted 1 psi = 0.068046 atm.\n15. Converted psi to atm: 15,750 * 0.068046 = 1071.7245 atm.\n16. Searched \"Marianas Trench temperature\" on Google.\n17. Noted the temperature range from 34-39F.\n18. Searched \"F to K\" on Google.\n19. Noted that K equals F plus 459.67 times 5/9 from the conversion tool.\n20. Converted temperature to K: 39 + 459.67 * 5/9 = 277.039K.\n21. Searched \"joules to atm\" on Google and noted the conversion of 1 Joule = 0.0098692326671601 Liter Atmosphere from the featured text snippet.\n22. Converted 8.31446261815324 * 0.0098692326671601 = 0.08205736608096 L-atm/K-mol.\n21. Changed PV = nRT to V = nRT/P\n22. Plugged numbers into the ideal gas equation: V = (0.08205736608096 L-atm/K-mol * 277.039K * 2.58 mol) / (1071.7245 atm) = 0.05473 L.\n23. Converted to mL: 0.05473 L = 54.73.\n24. Rounded to the nearest mL.", "Number of steps": "24", "How long did this take?": "20 minutes", "Tools": "1. Web browser\n2. Search engine\n3. Calculator", "Number of tools": "3" }

[ { "name": "Google", "url": "https://www.google.com" } ]

[ { "name": "ThoughtCo", "section": "Specific Volume: Definition, Formulas, Examples" }, { "name": "Wikipedia", "section": "Dichlorodifluoromethane" } ]

{ "Steps": "1. Searched \"Yola gimlie\" on Google.\n2. Opened https://en.wiktionary.org/wiki/gimlie#Yola.\n3. Noted the Latin root \"caminata\".\n4. Searched \"Collins Spanish-to-English dictionary caminata\" on Google.\n5. Opened https://www.collinsdictionary.com/dictionary/spanish-english/caminata.\n6. Scrolled down to the 1994 example.\n7. Searched \"El Mundo del Siglo Veintiuno translation\" on Google.\n8. Noted the result in the Translate widget.", "Number of steps": "8", "How long did this take?": "15 minutes", "Tools": "1. Web browser\n2. Search engine\n3. Google Translate access", "Number of tools": "3" }

[ { "name": "Yola gimlie", "url": "https://en.wiktionary.org/wiki/gimlie#Yola" } ]

[ { "name": "Collins Spanish-to-English dictionary", "section": "caminata" } ]

{ "Steps": "1. Googled Venezuelan Declaration of Independence, found it to be in 1811, thus L = 11\n2. Googled TikTok logo, found 4 colors, 2 of which are black and white, so A = 2\n3. Googled average height of woman in Philippines, found it to be 149.6cm, so C = 150\n4. Deciphered formula to mean 11x = (d/dx(2x^2)) + 4097 - 150\n5. Used simple calculus and algebra to solve the equation", "Number of steps": "5", "How long did this take?": "40 minutes", "Tools": "1. A web browser\n2. A search engine\n3. A calculator", "Number of tools": "3" }

[ { "name": "Google", "url": "https://www.google.com" } ]

[ { "name": "TikTok", "section": "Logo" } ]

{ "Steps": "1. Look up the doi.\n2. Click on the JSTOR result.\n3. Find the chapter with page 11, and click to read it.\n4. Navigate to page 11.\n5. Identify the footnote in the second-to-last paragraph.\n6. Scroll to the end of the chapter to read the footnote.\n7. Note the date given after the Wikipedia link.", "Number of steps": "7", "How long did this take?": "5-10 minutes", "Tools": "1. Search engine\n2. Web browser\n3. OCR", "Number of tools": "3" }

[ { "name": "Wikipedia", "url": "https://en.wikipedia.org/wiki/" } ]

[ { "name": "JSTOR", "section": "search results" } ]

{ "Steps": "1. Open the file.\n2. Translate the letters to bass notes (\"D E C A D E\").\n3. Count the lines (5).\n4. Count the notes (6).\n5. Count the notes on lines (2).\n6. Add the lines and notes (11).\n7. Subtract the notes on lines (11 - 2).\n8. Multiply 10 by 9 (90).\n9. Note the age given.", "Number of steps": "9", "How long did this take?": "5 minutes", "Tools": "1. Image recognition\n2. Bass note data\n3. Calculator", "Number of tools": "3" }

[ { "name": "Google", "url": "https://www.google.com" } ]

[ { "name": "Stack Overflow", "section": "questions" } ]

{ "Steps": "1. Search for \"phys org archive\"\n2. Click on the link for https://phys.org/archive\n3. Naviage to July 15, 2008\n4. Search the articles for an article that mentions \"catastrophe\"\n5. Note the name of the event (Tunguska catastrophe)\n6. Search for \"Tunguska catastrophe britannica\"\n7. Click on the link for Tunguska event\n8. Locate the explosive force in the article (15 megatons)\n9. Search for \"us nuclear test 15 megatons\"\n10. Record the last word of the name of the test in the search results.", "Number of steps": "10", "How long did this take?": "4 minutes", "Tools": "1. Web browser\n2. Search engine", "Number of tools": "2" }

[ { "name": "phys org archive", "url": "https://phys.org/archive" } ]

[ { "name": "Britannica", "section": "Tunguska event" } ]

{ "Steps": "1. Open the provided PDF.\n2. Check Rental Houses. \n3. Check the house with pool. \n4. Check for availability: Shelley's place is the only fit.", "Number of steps": "4", "How long did this take?": "5 minutes", "Tools": "1. PDF viewer", "Number of tools": "1" }

[ { "name": "Google", "url": "https://www.google.com" } ]

[ { "name": "Facebook", "section": "login" } ]

{ "Steps": "1. Searched \"NIH translation 1913 Michaelis-Menten Paper\" on Google.\n2. Opened \"The Original Michaelis Constant: Translation of the 1913 Michaelis-Menten Paper\" on the NIH website.\n3. Scrolled down to the final equation: v = (km ⋅ [S]) / (1 + (km/kcat) ⋅ [S]).\n4. Opened the Excel file.\n5. Searched \"Michaelis-Menten equation\" on Google to find the meaning of the variables.\n6. Opened the Wikipedia \"Michaelis–Menten kinetics\" page.\n7. Noted v = reaction rate (velocity of reaction) and kcat = catalytic rate constant (catalytic constant).\n8. Returned to the NIH paper and found km = Menten constant and [S] = substrate concentration.\n9. Plugged reaction 7's values from the Excel file into the equation: v = (0.052 * 72.3) / (1 + (0.052 / 0.0429) * 72.3) = 0.042416.\n10. Rounded to four decimal places (0.0424).", "Number of steps": "10", "How long did this take?": "20 minutes", "Tools": "1. Excel file access\n2. Web browser\n3. Search engine\n4. Calculator", "Number of tools": "4" }

[ { "name": "NIH", "url": "https://www.nih.gov/" }, { "name": "Wikipedia", "url": "https://en.wikipedia.org/wiki/Michaelis%E2%80%93Menten_kinetics" } ]

[ { "name": "NIH", "section": "The Original Michaelis Constant: Translation of the 1913 Michaelis-Menten Paper" }, { "name": "Wikipedia", "section": "Michaelis–Menten kinetics" } ]

{ "Steps": "1. Search the web for “Antidisestablishmentarianism”.\n2. Click the Wikipedia result.\n3. Click “View history” to see edits made to the page.\n4. Click “500” to view 500 edits on the page at a time.\n5. Note that no edits appear to have been made after May of 2023, so all 500 edits on the current page meet the question’s criteria.\n6. Click “older 500” to view older edits.\n7. Repeat until I reach the end of the revisions, counting how many sets of 500 I passed until reaching the last page.\n8. On the last page, Ctrl-F for “cur” and “prev”. These abbreviations appear before every revision, so the number of times they each appear on the page (minus the number of times they each appear in the description at the top) is the number of revisions on this page.\n9. Add the number of revisions on the last page (232), to the number from the pages of 500 (5 pages times 500 edits equals 2500) to get the answer, 2732.", "Number of steps": "9", "How long did this take?": "15 minutes", "Tools": "1. Search engine\n2. Web browser", "Number of tools": "2" }

[ { "name": "Wikipedia", "url": "https://en.wikipedia.org/wiki/Antidisestablishmentarianism" } ]

[ { "name": "Wikipedia", "section": "View history" } ]

{ "Steps": "1. Determine the diameter of each cell phone tower's coverage: 2 x 4 miles radius = 8 miles diameter.\n2. Use the diameter to maximize the coverage of each tower by capturing houses 4 miles to the left and 4 miles to the right.\n3. Start from the furthest left side of the road at the first house.\n4. Place the first tower 4 miles in to cover the first house.\n5. Move forward 4 miles from the first tower. The first tower also covers the house above mile marker 8. \n6. Find the next uncovered house below mile marker 12.\n7. Move 4 miles in from the uncovered house and place a second tower. The house is now covered. \n8. Move forward 4 miles from the second tower. The second tower also covers the house above mile marker 16.\n9. Find the next uncovered house below mile marker 25.\n10. Move 4 miles in from the uncovered house and place a third tower. The third tower also covers the house above marker 28.\n11. Move forward 4 miles from the third tower. The third tower also covers the last house below marker 30.\n12. The final number of cell phone towers erected is 3.\n\n", "Number of steps": "12", "How long did this take?": "30 minutes", "Tools": "1. Text Editor", "Number of tools": "1" }

[ { "name": "Google", "url": "https://www.google.com" } ]

[ { "name": "Stack Overflow", "section": "questions" } ]

{ "Steps": "1. Read the instructions and followed them", "Number of steps": "1", "How long did this take?": "<1 minute", "Tools": "None", "Number of tools": "" }

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{ "Steps": "1. Searched \"Trans fatty acid contents in chocolates and chocolate wafers in Turkey\" on Google.\n2. Opened https://www.researchgate.net/publication/234034780_Trans_fatty_acid_contents_in_chocolates_and_chocolate_wafers_in_Turkey.\n3. Opened the Excel file.\n4. Searched each reference in the paper on Google.\n5. Checked any free-to-access reference for a table similar to the titles in the Excel file.\n6. Added the numbers of the references to the Excel file.\n7. Copied the numbers into a comma-separated list.", "Number of steps": "7", "How long did this take?": "30 minutes", "Tools": "1. Web browser\n2. Search engine\n3. PDF access\n4. XLSX file access", "Number of tools": "4" }

[ { "name": "Google", "url": "https://www.google.com" } ]

[ { "name": "ResearchGate", "section": "publications" } ]

{ "Steps": "1. Search the web for “usgs nonnative aquatic species database”.\n2. Navigate to the database of reptiles.\n3. For each species called a “crocodile”, click Collection Info.\n4. Count instances where a crocodile was found in both Florida and in the specified date range.", "Number of steps": "4", "How long did this take?": "5 minutes", "Tools": "1. Search engine\n2. Web browser", "Number of tools": "2" }

[ { "name": "usgs nonnative aquatic species database", "url": "https://nas.er.usgs.gov/" } ]

[ { "name": "usgs nonnative aquatic species database", "section": "database of reptiles" } ]

{ "Steps": "1. Use search engine to search for \"Federico Lauria's 2014 dissertation\".\n2. Open the result from philarchive.org and open the PDF file for the full paper.\n3. Search for footnote 397 to find that the referenced work is Thomas Hobbes's \"Leviathan\".\n4. Use search engine to search for \"Smithsonian American Art Museum collection search\".\n5. Go to the museum's search webpage.\n6. Enter \"Hobbes Leviathan\" into the search box and submit the search.\n7. Open the two results, one by Jan Stussy (\"A free man...\") and one by Leon Karp (\"Hereby it is manifest...\").\n8. Verify from the full titles of these works that the titles are quotes from \"Leviathan\".\n9. Use search engine to search for \"Thomas Hobbes Leviathan full text\".\n10. Open any result that contains the full text, like the Project Gutenberg version.\n11. Search the text for the titles of each painting, using different substrings from the titles as needed to account for variations in spelling and punctuation.\n12. Find that the \"A free man...\" quote is from Chapter XXI (21) and that the \"Hereby it is manifest...\" quote is from Chapter XIII (13).\n13. Calculate the absolute difference of the chapter numbers: 21 - 13 = 8.", "Number of steps": "13", "How long did this take?": "7 minutes", "Tools": "1. Web browser\n2. Search engine\n3. Calculator", "Number of tools": "3" }

[ { "name": "philarchive.org", "url": "https://philarchive.org/" }, { "name": "Smithsonian American Art Museum collection search", "url": "https://americanart.si.edu/search/collection" }, { "name": "Project Gutenberg", "url": "https://www.gutenberg.org/" } ]

[ { "name": "Smithsonian American Art Museum", "section": "collection search" } ]

{ "Steps": "Step 1: Using a web browser, access a search engine and conduct a search, \"Washington cities by area\"\nStep 2: Navigate to the second search result, https://en.wikipedia.org/wiki/List_of_municipalities_in_Washington\nStep 3: Evaluate the page contents, finding the largest and smallest county seats by land area, Seattle and Cathlamet\nStep 4: Using a web browser, navigate to https://data.census.gov/\nStep 5: Using the website's search area, conduct a search, Seattle, Washington\nStep 6: Record the reported 2020 Decennial Census population of Seattle, Washington, 737,015\nStep 7: Using the website's search area, conduct a search, Cathlamet, Washington\nStep 8: Record the reported 2020 Decennial Census population of Cathlamet, Washington, 560\nStep 9: Using a calculator, find the difference in populations,\n\n737,015 - 560\n736,455\nStep 10: Report the correct answer to my user in the requested format, \"736,455\"", "Number of steps": "10", "How long did this take?": "5 minutes", "Tools": "1. A web browser\n2. A search engine\n3. A calculator", "Number of tools": "3" }

[ { "name": "List of municipalities in Washington", "url": "https://en.wikipedia.org/wiki/List_of_municipalities_in_Washington" }, { "name": "United States Census Bureau", "url": "https://data.census.gov/" } ]

[ { "name": "Google", "section": "search for \"Washington cities by area\"" } ]

{ "Steps": "1. Open the provided file.\n2. Scroll through the presentation, noting the animal names on each slide.\n3. Search the web for “crayfish” to verify that they are crustaceans.\n4. Read the results, noting that they are crustaceans.\n5. Search the web for “isopods” to verify whether they are crustaceans.\n6. Read the results, noting that they are.\n7. Since I’m confident that I know whether all of the other animals are crustaceans, I count the ones that are to get the answer, 4.", "Number of steps": "7", "How long did this take?": "5 minutes", "Tools": "1. PowerPoint viewer", "Number of tools": "1" }

[ { "name": "Google", "url": "https://www.google.com" } ]

[ { "name": "Wikipedia", "section": "crayfish" } ]

{ "Steps": "1. Opened the file in Excel.\n2. Counted the penguins that are not on Dream Island with bills shorter than 42mm using `COUNTIFS(C1:C345, \">42\", B1:B345, \"<>Dream\")` (132).\n3. Searched \"wikipedia penguin populations\" on Google search.\n4. Opened the \"List of Sphenisciformes by population\" Wikipedia page.\n5. Clicked \"View history\" to see the history of the page.\n6. Opened the last 2012 version.\n7. Added up the penguin species populations (39808770).\n8. Calculated the percentage (132 / 39808770 * 100% = 0.00033158%).\n9. Converted to scientific notation (3.3 x 10^-4%).", "Number of steps": "9", "How long did this take?": "15 minutes", "Tools": "1. CSV file access\n2. Web browser\n3. Search engine\n4. Calculator (or use Excel)", "Number of tools": "4" }

[ { "name": "Wikipedia", "url": "https://en.wikipedia.org/wiki/List_of_Sphenisciformes_by_population" } ]

[ { "name": "Google", "section": "search" } ]

{ "Steps": "1. Verify Netwon's method as x_(n+1) = x_n - f(x_n)/f'(x_n) by searching\n2. Calculate the derivative: f'(x) = 3x^2 + 8x - 3\n3. Find x_1 using the given x_0 value: x_1 = -5 - ((-5)^3 + 4(-5)^2 - 3(-5) + 8)/(3(-5)^2 + 8(-5) - 3) = -79/16 ≈ -4.9375\n4. Iterate: x_2 = -79/16 - ((-79/16)^3 + 4(-79/16)^2 - 3(-79/16) + 8)/(3(-79/16)^2 + 8(-79/16) - 3) = -309711/62744 ≈ -4.9361\n5. They are not the same, so iterate: x_3 = -309711/62744 - ((-309711/62744)^3 + 4(-309711/62744)^2 - 3(-309711/62744) + 8)/(3(-309711/62744)^2 + 8(-309711/62744) - 3) = -18658881319456319/3780082116675876 ≈ -4.9361\n6. They are the same, so we stop and know n = 2 is the smallest value where this occurs.", "Number of steps": "6", "How long did this take?": "15 minutes", "Tools": "1. computer algebra system", "Number of tools": "1" }

[ { "name": "Wikipedia", "url": "https://en.wikipedia.org/wiki/Newton%27s_method" } ]

[ { "name": "Wolfram Alpha", "section": "derivative calculator" } ]

{ "Steps": "Step 1: Evaluate the problem statement posed by my user.\nStep 2: Consider one known possible case: 1 Vampire, 99 humans\nStep 3: Step through the possible case with the answer provided by every resident \"At least one of us is a human.\"\nFor humans, who always tell the truth, the answer \"At least one of us is a human.\" is true for the known possible case\nFor the vampire, who always lies, the answer \"At least one of us is a human.\" is true, which violates the rule requiring the vampire to lie\nDiscount the case 1 Vampire, 99 Humans as possible\nStep 4: Consider the worst case: 100 Vampires, 0 Humans\nStep 5: Step through the worst case with the answer provided by every resident \"At least one of us is a human.\"\nFor humans, who always tell the truth, the answer \"At least one of us is a human.\" is false, but 0 humans provide this response, making this statement irrelevant\nFor the vampire, who always lies, the answer \"At least one of us is a human.\" is false, which respects the rule requiring vampires to lie\nConfirm the worst case as a provisional answer: 100 Vampires, 0 humans, answer: \"100\"\nStep 6: Consider a case with only one human: 99 Vampires, 1 Human\nStep 7: Step through the case with the answer provided by every resident \"At least one of us is a human.\"\nFor humans, who always tell the truth, the answer \"At least one of us is a human.\" is true\nFor the vampire, who always lies, the answer \"At least one of us is a human.\" is true, which violates the rule requiring vampires to lie\nDiscount the case of 99 Vampires, 1 Human as possible\nStep 8: Report the correct response to my user, \"100\"", "Number of steps": "8", "How long did this take?": "2 minutes", "Tools": "None", "Number of tools": "0" }

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{ "Steps": "1. Follow the link\n2. Watch the clip until the question \"Isn't that hot\" is asked\n3. Take note of the reply.", "Number of steps": "3", "How long did this take?": "2 minutes", "Tools": "1. Web browser\n2. Video processing software\n3. Audio processing software", "Number of tools": "1" }

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{ "Steps": "1. Open the attached spreadsheet.\n2. Examine its structure, with the steam locomotives listed together and a column denoting the wheel configuration.\n3. Search the web for “steam locomotive wheel configuration”.\n4. Click Wikipedia result.\n5. Skim article to learn that the Whyte Notation is commonly used in North America.\n6. Click link to Whyte Notation article.\n7. Skim article to learn how to read the Whyte Notation: each number corresponds to the number of one type of wheel.\n8. Count the wheels listed for steam locomotives in the spreadsheet to get the answer, 60.", "Number of steps": "8", "How long did this take?": "5-10 minutes", "Tools": "1. Microsoft Excel\n2. Search engine\n3. Web browser\n4. Calculator", "Number of tools": "4" }

[ { "name": "Wikipedia", "url": "https://en.wikipedia.org/wiki/Steam_locomotive_wheel_configuration" }, { "name": "Whyte Notation", "url": "https://en.wikipedia.org/wiki/Whyte_notation" } ]

[ { "name": "Wikipedia", "section": "Steam locomotive wheel configuration" } ]

{ "Steps": "1. Search the web for “Caesar cipher decrypt”.\n2. Click on top result, a decoding website.\n3. Enter the message into the text box.\n4. Click “DECRYPT (BRUTEFORCE)” to get all possible decryptions.\n5. Scroll through the results, noting that one possibility matches the user’s scenario of having a picnic.", "Number of steps": "5", "How long did this take?": "5 minutes", "Tools": "1. Search engine\n2. Web browser", "Number of tools": "2" }

[ { "name": "Google", "url": "https://www.google.com" } ]

[]

{ "Steps": "1. Open the attached file.\n2. Split the shape into five rectangles.\n3. Find the missing side lengths from the side lengths that are given.\n4. Find the area for each rectangle.\n5. Add the areas together to get the area of the entire shape, 39.", "Number of steps": "5", "How long did this take?": "5-10 minutes", "Tools": "1. Image recognition\n2. OCR\n3. Calculator", "Number of tools": "3" }

[ { "name": "Google", "url": "https://www.google.com" } ]

[ { "name": "Stack Overflow", "section": "questions" } ]

{ "Steps": "1. Search the internet for \"asian monarchies\"\n2. Navigate to from the search results \n3. Switch to the history tab\n4. Locate and navigate to a revision from 2021\n5. Open the articles for each listed monarchy in new tabs\n6. Verify access to the sea for each country using the provided maps and optionally Google Maps", "Number of steps": "6", "How long did this take?": "10 minutes", "Tools": "1. Web browser\n2. Search engine\n3. Computer vision\n3. Google Maps", "Number of tools": "4" }

[ { "name": "Wikipedia", "url": "https://en.wikipedia.org/wiki/Category:Monarchies_in_Asia" } ]

[ { "name": "Google Maps", "section": "maps" } ]

{ "Steps": "1. Open the attached file.\n2. Locate the rows representing Wharvton and Algrimand.\n3. Write functions to sum each relevant row.\n4. Compare the sums.", "Number of steps": "4", "How long did this take?": "5 minutes", "Tools": "1. Excel\n2. Calculator", "Number of tools": "2" }

[ { "name": "Google", "url": "https://www.google.com" } ]

[ { "name": "Wikipedia", "section": "https://en.wikipedia.org/wiki/" } ]

{ "Steps": "1. Searched \"song performed by rooster and hamster\" on Google.\n2. Opened https://en.wikipedia.org/wiki/The_Hampsterdance_Song.\n3. Noted the song \"Whistle Stop\" was the original to use the tune.\n4. Followed the link to https://en.wikipedia.org/wiki/Robin_Hood_(1973_film).\n5. Found the composer of \"Whistle Stop\".", "Number of steps": "5", "How long did this take?": "5 minutes", "Tools": "1. Web browser\n2. Search engine", "Number of tools": "2" }

[ { "name": "Google", "url": "https://www.google.com" } ]

[ { "name": "Wikipedia", "section": "The Hampsterdance Song" } ]

{ "Steps": "1. Opened Map.xlsx.\n2. Counted 11 turns of 2 spaces each (22 spaces) along the path of non-blue cells.\n3. Opened cell formatting for the cell.\n4. Clicked the \"Fill\" tab.\n5. Clicked \"More Colors...\"\n6. Noted the hex code of the color.", "Number of steps": "6", "How long did this take?": "5 minutes", "Tools": "1. Access to Excel files\n2. Color recognition\n3. Calculator (or ability to count)", "Number of tools": "3" }

[ { "name": "Google", "url": "https://www.google.com" } ]

[ { "name": "Wikipedia", "section": "https://en.wikipedia.org/wiki/" } ]

{ "Steps": "Step 1: Evaluate the user's request, storing the input Boggle board, \"ABRLEITEIONSFPEI\" and the specified dictionary location, https://github.com/dwyl/english-words\nStep 2: Using a web browser, access a search engine and conduct a search \"Boggle rules\"\nStep 3: Navigate to the first search result, https://en.wikipedia.org/wiki/Boggle\nStep 4: Evaluate the page content and store the game's rules:\n\n\"One player begins the game by shaking a covered tray of 16 cubic dice, each with a different letter printed on each of its sides. The dice settle into a 4×4 tray so that only the top letter of each cube is visible. After they have settled into the tray, a three-minute sand timer is started and all players simultaneously begin the main phase of play.[3]\n\nEach player searches for words that fit the following criteria:\n\nWords must be at least three letters in length.\nEach letter after the first must be a horizontal, vertical, or diagonal neighbor of the one before it.\nNo individual letter cube may be used more than once in a word.\nNo capitalized or hyphenated words are allowed.\nMultiple forms of the same word are allowed, such as singular/plural forms and other derivations. Each player records all the words they find by writing on a private sheet of paper. After three minutes have elapsed, all players must immediately stop writing and the game enters the scoring phase.\n\nIn this, each player reads off their list of discovered words. If two or more players wrote the same word, it is removed from all players' lists. Any player may challenge the validity of a word, in which case a previously nominated dictionary is used to verify or refute it. Once all duplicates and invalid words have been eliminated, points are awarded based on the length of each remaining word in a player's list. The winner is the player whose point total is highest, with any ties typically broken by a count of long words.\"\n\nStep 5: Using a web browser, navigate to the nominated dictionary specified by my user, https://github.com/dwyl/english-words\nStep 6: Navigate to the linked page, https://github.com/dwyl/english-words/blob/master/words_alpha.txt\nStep 7: Download the words_alpha.txt dictionary and save it to my file system as \"words_alpha.txt\"\nStep 8: Using a Python IDE, create a new project to solve the user's request as specified\nStep 9: Compose a Python program that accepts an input string and prints an output of all words that can be generated that match words in the nominated dictionary. The program must observe the rules discovered in Step 4. The output should be sorted so that strings are sorted alphabetically and grouped by character count:\n\nclass Boggle_Solver:\n def __init__(self, file, size=4, points=None):\n self.size = size\n self.board = [[' '] * self.size for _ in range(self.size)]\n self.adjacency = self.build_adjacency()\n self.words, self.prefixes = self.load_dictionary(file)\n \n def adjacent(self, pos):\n row, col = pos\n adj = []\n for i in [-1, 0, 1]:\n for j in [-1, 0, 1]:\n new_row = row + i\n new_col = col + j\n if 0 <= new_row < self.size and 0 <= new_col < self.size and not (i == j == 0):\n adj.append((new_row, new_col))\n return adj\n\n def build_adjacency(self):\n adjacency = dict()\n for row in range(0, self.size):\n for col in range(0, self.size):\n adjacency[(row, col)] = self.adjacent((row, col))\n return adjacency\n\n def load_dictionary(self, file):\n words = set()\n prefixes = set()\n with open(file, 'r') as f:\n next(f)\n for line in f:\n word = line.rstrip()\n if len(word) >= 3:\n words.add(word)\n for i in range(len(word)):\n prefixes.add(word[:i])\n return words, prefixes\n\n def get_letter(self, pos):\n return self.board[pos[0]][pos[1]]\n \n def set_board(self, letters):\n board_input=letters.lower()\n for row in range(self.size):\n index = row * self.size\n row_letters = board_input[index:index+self.size]\n for col, letter in enumerate(row_letters):\n self.board[row][col] = letter\n \n def find_words(self):\n words = set()\n for row in range(self.size):\n for col in range(self.size):\n words |= self.find_words_pos((row, col))\n return sorted(words, key=lambda x: (-len(x), x))\n \n def find_words_pos(self, pos):\n stack = [(n, [pos], self.get_letter(pos)) for n in self.adjacency[pos]]\n words = set()\n while stack:\n curr, path, chars = stack.pop()\n curr_char = self.get_letter(curr)\n curr_chars = chars + curr_char\n\n if curr_chars in self.words:\n words.add(curr_chars)\n\n if curr_chars in self.prefixes:\n curr_adj = self.adjacency[curr]\n stack.extend([(n, path + [curr], curr_chars) for n in curr_adj if n not in path])\n return words\n\nif __name__ == '__main__':\n word_list = Boggle_Solver('words_alpha.txt')\n word_list.set_board('ABRLEITEIONSFPEI')\n print(word_list.find_words())\n\nStep 10: Execute the program, and store the output:\n['briniest', 'brionies', 'inertiae', 'pointrel', 'aeonist', 'bretons', 'brinies', 'britons', 'enteria', 'entires', 'entoire', 'estonia', 'inertia', 'ioniser', 'iresine', 'iserine', 'nestler', 'oestrin', 'openest', 'penster', 'piotine', 'pointel', 'pointer', 'pointes', 'poitrel', 'sertion', 'sienite', 'sinopie', 'snirtle', 'triones', 'abrine', 'airest', 'bainie', 'baiter', 'bionts', 'birles', 'bitser', 'brents', 'breton', 'brines', 'brinie', 'briton', 'eirene', 'entire', 'entria', 'eserin', 'estrin', 'foiter', 'fontes', 'inerts', 'insert', 'instop', 'intire', 'ionise', 'ionist', 'nepote', 'nester', 'nestle', 'nirles', 'nitres', 'noires', 'opener', 'peiser', 'penest', 'peones', 'pester', 'pestle', 'pointe', 'points', 'ponies', 'pontes', 'potsie', 'resent', 'restio', 'seiner', 'sepion', 'sepone', 'serbia', 'serine', 'sinite', 'sinter', 'stenia', 'sterin', 'stoner', 'stopen', 'striae', 'teniae', 'terbia', 'tinsel', 'tonies', 'trines', 'abret', 'abrin', 'aeons', 'ainoi', 'airts', 'baits', 'bines', 'bints', 'biont', 'birle', 'biter', 'bites', 'brens', 'brent', 'brest', 'brine', 'brins', 'brite', 'brits', 'enter', 'entia', 'entre', 'erbia', 'ester', 'estop', 'estre', 'foins', 'fonts', 'ineri', 'inert', 'insep', 'inset', 'instr', 'intel', 'inter', 'irene', 'istle', 'lenes', 'lenis', 'lense', 'lento', 'neist', 'nerts', 'netop', 'niter', 'nitre', 'noire', 'noter', 'notes', 'notre', 'onset', 'opens', 'peine', 'peins', 'peise', 'penes', 'penis', 'pense', 'peons', 'peste', 'pions', 'piotr', 'point', 'poire', 'pones', 'poter', 'renes', 'rents', 'resin', 'retia', 'retie', 'retin', 'rinse', 'riots', 'rites', 'seine', 'senit', 'senti', 'serin', 'serio', 'seton', 'sinto', 'snirl', 'snirt', 'snite', 'steno', 'steri', 'stine', 'stion', 'stire', 'stoep', 'stone', 'stope', 'stria', 'tenia', 'tenio', 'tense', 'tines', 'tires', 'toner', 'tones', 'topes', 'tribe', 'trine', 'tsine', 'abie', 'abir', 'abit', 'abri', 'aeon', 'aine', 'ains', 'aint', 'aion', 'aire', 'airt', 'aits', 'bain', 'bait', 'bein', 'bine', 'bini', 'bino', 'bins', 'bint', 'bion', 'birl', 'birt', 'bite', 'bito', 'bits', 'bren', 'bret', 'brie', 'brin', 'brio', 'brit', 'eire', 'ense', 'entr', 'eons', 'eria', 'erie', 'erin', 'esne', 'eton', 'fiot', 'foes', 'foin', 'fone', 'fons', 'font', 'inia', 'init', 'inst', 'intl', 'into', 'intr', 'ione', 'ioni', 'ions', 'ires', 'isnt', 'itel', 'iten', 'iter', 'lene', 'leno', 'lens', 'lent', 'lese', 'lest', 'leto', 'lets', 'neri', 'nese', 'nest', 'neti', 'nets', 'nies', 'nist', 'nito', 'nits', 'noes', 'noir', 'nope', 'note', 'nots', 'oint', 'oner', 'ones', 'open', 'opes', 'pein', 'pens', 'pent', 'peon', 'pest', 'pion', 'pone', 'pons', 'pont', 'pote', 'poti', 'pots', 'reno', 'rent', 'rest', 'rets', 'ribe', 'rine', 'rins', 'riot', 'rite', 'selt', 'sent', 'sepn', 'serb', 'seri', 'sert', 'sine', 'snib', 'snit', 'snop', 'snot', 'sten', 'ster', 'stib', 'stir', 'stof', 'stop', 'stre', 'tens', 'teri', 'tine', 'tino', 'tins', 'tire', 'tirl', 'toea', 'toes', 'tone', 'tons', 'tope', 'topi', 'tres', 'trib', 'trin', 'trio', 'abe', 'abr', 'abt', 'ain', 'air', 'ait', 'bae', 'bai', 'bea', 'bin', 'bio', 'bit', 'brl', 'btl', 'eir', 'elt', 'ens', 'eof', 'eon', 'epi', 'ese', 'est', 'fie', 'fip', 'foe', 'fon', 'fop', 'fot', 'iba', 'ino', 'ins', 'int', 'iof', 'ion', 'ire', 'ise', 'isn', 'ist', 'ito', 'its', 'len', 'ler', 'les', 'let', 'ltr', 'nei', 'neo', 'nep', 'net', 'nib', 'nis', 'nit', 'not', 'oes', 'oie', 'oii', 'one', 'oni', 'ons', 'ont', 'ope', 'pen', 'pes', 'pie', 'poe', 'poi', 'pon', 'pot', 'rel', 'ren', 'res', 'ret', 'ria', 'rib', 'rie', 'rin', 'rio', 'rit', 'rle', 'rte', 'rti', 'sei', 'sel', 'sen', 'sep', 'ser', 'set', 'sie', 'sin', 'str', 'tel', 'ten', 'ter', 'tib', 'tie', 'tin', 'tlr', 'toe', 'toi', 'ton', 'top', 'tri', 'tsi']\n\nStep 11: Select the first word from the stored output as the correct response to my user's query, \"briniest\"\nStep 12: Report the correct answer to my user's query in the requested format, \"Briniest\"", "Number of steps": "12", "How long did this take?": "40 minutes", "Tools": "1. A file interface\n2. A Python IDE\n3. A web browser\n4. A search engine", "Number of tools": "4" }

[ { "name": "Wikipedia", "url": "https://en.wikipedia.org/wiki/Boggle" }, { "name": "GitHub", "url": "https://github.com/dwyl/english-words" } ]

[ { "name": "Google", "section": "search for Boggle rules" } ]

{ "Steps": "1. Search for \"1.E Exercises LibreText Introductory Chemistry\"\n2. Read to see the horse doctor mentioned.", "Number of steps": "2", "How long did this take?": "5 minutes", "Tools": "1. Web browser\n2. Search engine", "Number of tools": "2" }

[ { "name": "1.E Exercises LibreText Introductory Chemistry", "url": "https://chem.libretexts.org/Bookshelves/Introductory_Chemistry/Exercises/1.E%3A_Exercises" } ]

[ { "name": "LibreText", "section": "Introductory Chemistry" } ]

{ "Steps": "1. Use search engine to search for \"World Bank gross savings % of GDP\".\n2. Open World Bank data webpage showing gross savings as % of GDP (https://data.worldbank.org/indicator/NY.GNS.ICTR.ZS).\n3. Download data from webpage as Excel file and open it in a spreadsheet editor like Microsoft Excel.\n4. Go to the file's \"Data\" sheet.\n5. Add columns with formulas indicating if the gross savings % of GDP figures in each of the years from 2001 to 2010 are greater than 35 for each row.\n6. Add column computing AND of the boolean values from the previous step for each row.\n7. Filter for rows where the output of the AND from the previous step is true.\n8. Get the list of country names in the remaining rows, excluding non-country regions and categories.\n9. Sort the list alphabetically and format it as a comma-separated list to get the final answer: Brunei Darussalam, China, Morocco, Singapore", "Number of steps": "9", "How long did this take?": "12 minutes", "Tools": "1. Web browser\n2. Search engine\n3. Spreadsheet editor", "Number of tools": "3" }

[ { "name": "World Bank data webpage", "url": "https://data.worldbank.org/indicator/NY.GNS.ICTR.ZS" } ]

[ { "name": "World Bank", "section": "data webpage showing gross savings as % of GDP" } ]

{ "Steps": "1. Search the web for “2072 akaikai loop pearl city hi”.\n2. Click Zillow result.\n3. Navigate to “Price and tax history”.\n4. Find the amount the house sold for when it was sold in 2022: $860,000.\n5. Search the web for “2017 komo mai drive pearl city hi”.\n6. Click Zillow result.\n7. Navigate to “Price and tax history”.\n8. Find the amount the house sold for when it was sold in 2022: $900,000.\n9. Express the higher amount in the specified format, $900000.", "Number of steps": "9", "How long did this take?": "5 minutes", "Tools": "1. Search engine\n2. Web browser", "Number of tools": "2" }

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{ "Steps": "Step 1: Evaluate the list provided by my user, eliminating objects which are neither fruits nor vegetables:\nsweet potatoes, fresh basil, plums, green beans, rice, corn, bell pepper, whole allspice, acorns, broccoli, celery, zucchini, lettuce, peanuts\nStep 2: Remove all items from the list which are botanical fruits, leaving a list of vegetables:\nsweet potatoes, fresh basil, broccoli, celery, lettuce\nStep 3: Alphabetize the remaining list as requested by my user:\nbroccoli, celery, fresh basil, lettuce, sweet potatoes\nStep 4: Provide the correct response in the requested format:\n\"broccoli\ncelery\nfresh basil\nlettuce\nsweet potatoes\"", "Number of steps": "4", "How long did this take?": "5 minutes", "Tools": "No tools required", "Number of tools": "0" }

[ { "name": "Google", "url": "https://www.google.com" } ]

[ { "name": "Wikipedia", "section": "https://en.wikipedia.org/wiki/" } ]