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676e5e31-a554-4acc-9286-b60d90a92d26
In July 2, 1959 United States standards for grades of processed fruits, vegetables, and certain other products listed as dehydrated, consider the items in the "dried and dehydrated section" specifically marked as dehydrated along with any items in the Frozen/Chilled section that contain the whole name of the item, but not if they're marked Chilled. As of August 2023, what is the percentage (to the nearest percent) of those standards that have been superseded by a new version since the date given in the 1959 standards?
3
86
{ "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" }
bec74516-02fc-48dc-b202-55e78d0e17cf
What is the average number of pre-2020 works on the open researcher and contributor identification pages of the people whose identification is in this file?
3
26.4
bec74516-02fc-48dc-b202-55e78d0e17cf.jsonld
/storage/hf-datasets-cache/medium/datasets/16909121555244-config-parquet-and-info-gaia-benchmark-GAIA-759f5143/downloads/f0a7fc16f9968917afc44aa40e97482d1e370b1e23b8edec75c6f0c2cb4bff04
{ "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" }
00d579ea-0889-4fd9-a771-2c8d79835c8d
Assuming scientists in the famous youtube video The Thinking Machine (Artificial Intelligence in the 1960s) were interviewed the same year, what is the name of the scientist predicting the sooner thinking machines or robots? Answer using the format First name Last name
3
Claude Shannon
{ "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" }
384d0dd8-e8a4-4cfe-963c-d37f256e7662
In the NCATS PubChem compound database for Food Additive Status classification, find the compound that has a molecular weight of 100 g/mol or less, 6 heavy atoms, 1 or fewer hydrogen bond acceptors, and a complexity between 10 and 15. Of the shared gene-chemical co-occurrences between its two possible enzyme transformations, what is the PubChem CID of the heaviest by molecular weight?
3
4192
{ "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" }
de9887f5-ead8-4727-876f-5a4078f8598c
What integer-rounded percentage of the total length of the harlequin shrimp recorded in Omar Valencfia-Mendez 2017 paper was the sea star fed to the same type of shrimp in G. Curt Fiedler's 2002 paper?
3
22
{ "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" }
983bba7c-c092-455f-b6c9-7857003d48fc
What animals that were mentioned in both Ilias Lagkouvardos's and Olga Tapia's papers on the alvei species of the genus named for Copenhagen outside the bibliographies were also present in the 2021 article cited on the alvei species' Wikipedia page about a multicenter, randomized, double-blind study?
3
mice
{ "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" }
9b54f9d9-35ee-4a14-b62f-d130ea00317f
Which of the text elements under CATEGORIES in the XML would contain the one food in the spreadsheet that does not appear a second time under a different name?
3
Soups and Stews
9b54f9d9-35ee-4a14-b62f-d130ea00317f.zip
/storage/hf-datasets-cache/medium/datasets/16909121555244-config-parquet-and-info-gaia-benchmark-GAIA-759f5143/downloads/a852a108c1a1daebc050aa8aebae593e75066df85236c528e06f51529eddda61
{ "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" }
56db2318-640f-477a-a82f-bc93ad13e882
The following numbers function similarly to ISBN 13 numbers, however, their validation methods are slightly different. Rather than using alternate weights of 1 and 3, the checksum digit is calculated with an alternate weight of 1 and some other positive integer less than 10. Otherwise, the checksum digit is calculated as expected. Unfortunately, there is an error in the data. Two adjacent columns have been transposed. These errored columns do not involve the final column or one of the first three columns. Using this information, please provide all potential solutions with the unknown weight and the smaller index of the two errored columns (assume we start our indexing at 0 and ignore hyphens). Give your answer in the form x, y where x is the weight and y is the smaller index of the two transposed columns. 978-354181391-9 978-946669746-1 978-398036139-6 978-447656680-4 978-279586664-7 978-595073693-3 978-976647652-6 978-591178125-5 978-728465924-5 978-414825155-9
3
7, 9
{ "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" }
8131e2c0-0083-4265-9ce7-78c2d568425d
I was trying to remember how well the Cheater Beater performed in comparison to the Cheater when James tested it on his channel. I know that the Cheater still outperformed the Cheater Beater in terms of CFM. Could you please look that up for me, and report the CFM of both the Cheater and the Cheater Beater? I'm not sure if he made any changes to his testing, but this was back in season 4, so just report the value from that season. Please format your response like this: CFM number for Cheater, CFM number for Cheater beater
3
101.376, 84.348
{ "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" }
72c06643-a2fa-4186-aa5c-9ec33ae9b445
What is the volume in milliliters of a system comprised of 0.312 kg Freon-12 refrigerant when placed at the bottom of the Marianas Trench and allowed to stabilize at the Trench's peak temperature, rounded to the nearest mL? Provide your answer as just an integer value.
3
55
{ "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" }
ebbc1f13-d24d-40df-9068-adcf735b4240
The Latin root of the Yola word "gimlie" shares a spelling with a Spanish word. What is the Google translation of the source title for the 1994 example sentence for that word in the Collins Spanish-to-English dictionary online? Answer in plain text, without punctuation.
3
The World of the Twenty First Century
{ "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" }
c526d8d6-5987-4da9-b24c-83466fa172f3
In the NIH translation of the original 1913 Michaelis-Menten Paper, what is the velocity of a reaction to four decimal places using the final equation in the paper based on the information for Reaction 7 in the Excel file?
3
0.0424
c526d8d6-5987-4da9-b24c-83466fa172f3.xlsx
/storage/hf-datasets-cache/medium/datasets/16909121555244-config-parquet-and-info-gaia-benchmark-GAIA-759f5143/downloads/1681cbd1595c32792d5bc12ed20c93cc46e916d79ad6b218da9e01a7f3f36719
{ "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" }
3da89939-209c-4086-8520-7eb734e6b4ef
I was referencing each of the tables in the file from papers that were cited by the "Trans fatty acid contents in chocolates and chocolate wafers in Turkey" paper. I lost my own reference sheet and need to know which of the papers each table came from. The file may not use the full table caption. If the references in the"Trans fatty acid" paper bibliography were numbered starting with 1, give me the numbers in the order that they would be used to fill the cells in the Excel file from top to bottom, as a comma separated list.
3
8, 29, 22, 1, 8, 26
3da89939-209c-4086-8520-7eb734e6b4ef.xlsx
/storage/hf-datasets-cache/medium/datasets/16909121555244-config-parquet-and-info-gaia-benchmark-GAIA-759f5143/downloads/fef0ae4accdb8a422ed6a7ab832a5f0a4fd7ddecbda05eb5e3014fcffd006579
{ "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" }
8d46b8d6-b38a-47ff-ac74-cda14cf2d19b
What percentage of the total penguin population according to the upper estimates on english Wikipedia at the end of 2012 is made up by the penguins in this file that don't live on Dream Island or have beaks longer than 42mm? Round to the nearest five decimal places.
3
0.00033
8d46b8d6-b38a-47ff-ac74-cda14cf2d19b.csv
/storage/hf-datasets-cache/medium/datasets/16909121555244-config-parquet-and-info-gaia-benchmark-GAIA-759f5143/downloads/f78694ef938cb07a34ab1ca2ccf515e1433c479ca40632f122d332288dda688b
{ "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" }
e961a717-6b25-4175-8a68-874d28190ee4
According to wikipedia, how many Asian countries still have a monarchy and access to the sea in 2021?
3
12
{ "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" }
851e570a-e3de-4d84-bcfa-cc85578baa59
I thought we could try a fun word puzzle together :) I've got a Boggle board here: ABRL EITE IONS FPEI I'd like to know the longest word that can be generated from the board. Please find the longest English language word that can be generated from this board. If more than one word of the same length exists at the maximum word length, please report the longest word that comes first, alphabetically. Oh, and I know that there might be different wordlists available for Boggle, so let's please just use the words_alpha dictionary found at https://github.com/dwyl/english-words as the dictionary for our game.
3
Briniest
{ "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" }
50f58759-7bd6-406f-9b0d-5692beb2a926
How many times was a Twitter/X post cited as a reference on the english Wikipedia pages for each day of August in the last June 2023 versions of the pages?
3
3
{ "Steps": "1. Searched \"August Wikipedia\" on Google search.\n2. Opened the Wikipedia page for the month of August.\n3. Clicked on \"View history\" on the \"August 1\" page.\n4. Went back to the last edited version prior to July 2023.\n5. Checked the references for Twitter posts.\n6. Repeated the process for each day of August.\n7. Counted the Twitter posts found.", "Number of steps": "7", "How long did this take?": "8 minutes", "Tools": "1. Web browser\n2. Search engine", "Number of tools": "2" }
872bfbb1-9ccf-49f6-8c5f-aa22818ccd66
Which of the fruits shown in the 2008 painting "Embroidery from Uzbekistan" were served as part of the October 1949 breakfast menu for the ocean liner that was later used as a floating prop for the film "The Last Voyage"? Give the items as a comma-separated list, ordering them in clockwise order based on their arrangement in the painting starting from the 12 o'clock position. Use the plural form of each fruit.
3
pears, bananas
{ "Steps": "1. Use search engine to search for \"2008 painting Embroidery from Uzbekistan\".\n2. Open the top result, a link to the painting's page on the Dayton Art Institute website, and verify that the painting has the specified title and year.\n3. Identify the fruits in the painting as watermelon, pear, lemon, and banana, which can be verified by either watching the video on the page or reading its linked transcript.\n4. Use search engine to search for \"ocean liner floating prop The Last Voyage\".\n5. Note from the results that this ocean liner was the SS Île de France.\n6. Use search engine to search for \"October 1949 breakfast menu SS Île de France\".\n7. Go to the result that shows the vintage SS Île de France breakfast menu for October 1949.\n8. Search the menu for each of the four fruits from the painting, finding \"Pear\" and \"Bananas\" but no matches for \"lemon\" or \"watermelon\".\n9. Check the positions of the fruits in the painting to find that the pears come before the bananas in clockwise order starting from the 12 o'clock position.\n10. Format the final answer as specified using the correct ordering: pears, bananas", "Number of steps": "10", "How long did this take?": "6", "Tools": "1. Web browser\n2. Search engine\n3. Image recognition and processing tools", "Number of tools": "3" }
c3a79cfe-8206-451f-aca8-3fec8ebe51d3
The year is 2022. I am at the National Air and Space Museum east of the Potomac River. I want to go to Fire Station 301 DCA ARFF using the metro. I go in the wrong direction and end up at the station closest to Cleveland Elementary School. How many metro stations am I away from my original destination if I don't change lines? Your answer should be a numerical integer value.
3
8
{ "Steps": "1. Google search \"National Air and Space Museum\".\n2. Note there are two National Air and Space Museums. One in Virginia, the other in Washington D.C.\n3. Google map search \"Potomac River\" and zoom out.\n4. See that Washington DC is east of the Potomac River.\n5. Determine that the National Air and Space Museum refers to the one in Washington D.C.\n6. Google search \"Metro Station National Air and Space Museum Washington D.C.\"\n7. Clicked on the first result: Getting Here | National Air and Space Museum, https://airandspace.si.edu/visit/museum-dc/directions.\n8. Read on the website, \"The closest Metrorail stop is at L'Enfant Plaza.\" Note this location.\n6. Google map search \"Fire Station 301 DCA ARFF\".\n7. Zoom out to look for nearby metro stations.\n8. The closest station is Ronald Reagan Washington National Airport.\n9. Google map search \"Cleveland Elementary School\".\n10. The closest metro station to Cleveland Elementry School is Shaw-Howard Univ Station.\n11. Google search \"DC Metro Station Map\".\n12. Clicked on the second result: 2022 System Map, https://www.wmata.com/schedules/maps/upload/2022-System-Map.pdf.\n13. Locate L'Enfant Plaza station. It is the transfer station for all color lines.\n14. Locate Shaw-Howard Univ stations 4 stops above L'Enfant Plaza station.\n15. Locate Ronald Reagan National Airport station on the blue/yellow line.\n16. Recall the current location: Shaw-Howard Univ station's yellow/green line.\n17. Since the question says no line changes, we deduce the line must be one that Shaw-Howard Univ and Ronald Reagan National Airport stations have in common: yellow line.\n18. Begin at Shaw-Howard Univ station and follow the yellow line.\n19. Count the number of stops until it reaches Ronald Reagan National Airport station.\n20. Final answer: 8. \n", "Number of steps": "20", "How long did this take?": "50 minutes", "Tools": "1. Web Browser\n2. Search Engine\n3. Access to Google Maps\n4. Image recognition tools", "Number of tools": "4" }
da52d699-e8d2-4dc5-9191-a2199e0b6a9b
The attached spreadsheet contains a list of books I read in the year 2022. What is the title of the book that I read the slowest, using the rate of words per day?
3
Out of the Silent Planet
da52d699-e8d2-4dc5-9191-a2199e0b6a9b.xlsx
/storage/hf-datasets-cache/medium/datasets/16909121555244-config-parquet-and-info-gaia-benchmark-GAIA-759f5143/downloads/cb22eafd26cd37e800d9577f0bf21108e0db8c9aa7022485b29cace28ce1eaba
{ "Steps": "1. Open the attached file.\n2. Search the web for the number of pages in the first book, Fire and Blood by George R. R. Martin.\n3. Since the results give conflicting answers, use an estimated word count of 200,000. The reading rates for the different books likely aren’t close enough that a precise word count matters.\n4. Search the web for “song of solomon toni morrison word count”, to get the word count for the next book.\n5. Note the answer, 97,364.\n6. Search the web for “the lost symbol dan brown word count”.\n7. Since the results give conflicting answers, use an estimated word count of 150,000.\n8. Search the web for “2001 a space odyssey word count”.\n9. Since the results give conflicting answers, use an estimated word count of 70,000.\n10. Search the web for “american gods neil gaiman word count”.\n11. Note the answer, 183,222.\n12. Search the web for “out of the silent planet cs lewis word count”.\n13. Note the word count, 57,383.\n14. Search the web for “the andromeda strain word count”.\n15. Note the word count, 67,254.\n16. Search the web for “brave new world word count”.\n17. Note the word count, 63,766.\n18. Search the web for “silence shusaku endo word count”.\n19. Note the word count, 64,000\n20. Search the web for “the shining word count”.\n21. Note the word count, 165,581.\n22. Count the number of days it took to read the first book: 45.\n23. Since the next book was read over the end of February, search the web for “was 2022 a leap year”.\n24. Note that 2022 was not a leap year, so it has 28 days.\n25. Count the number of days it took to read the second book, 49.\n26. Count the number of days it took to read the third book, 66.\n27. Count the number of days it took to read the fourth book, 24.\n28. Count the number of days it took to read the fifth book, 51.\n29. Count the number of days it took to read the sixth book, 37.\n30. Count the number of days it took to read the seventh book, 31.\n31. Count the number of days it took to read the eighth book, 20.\n32. Count the number of days it took to read the ninth book, 34.\n33. Count the number of days it took to read the final book, 7.\n34. Divide the word count by number of pages to get words per day. For the first book, this is 200,000 divided by 45 equals about 4,444.\n35. Calculate the words per day for the second book, 1,987.\n36. Calculate the words per day for the third book, 2,273.\n37. Calculate the words per day for the fourth book, 2,917.\n38. Calculate the words per day for the fifth book, 3,593.\n39. Calculate the words per day for the sixth book, 1,551.\n40. Calculate the words per day for the seventh book, 2,169.\n41. Calculate the words per day for the eighth book, 3,188.\n42. Calculate the words per day for the ninth book, 1,882.\n43. Calculate the words per day for the final book, 23,654.\n44. Note the title of the book with the least words per day, Out of the Silent Planet.", "Number of steps": "44", "How long did this take?": "15 minutes", "Tools": "1. Microsoft Excel / Google Sheets\n2. Search engine\n3. Web browser\n4. Calculator", "Number of tools": "4" }
ad2b4d70-9314-4fe6-bfbe-894a45f6055f
Eva Draconis has a personal website which can be accessed on her YouTube page. What is the meaning of the only symbol seen in the top banner that has a curved line that isn't a circle or a portion of a circle? Answer without punctuation.
3
War is not here this is a land of peace
{ "Steps": "1. By googling Eva Draconis youtube, you can find her channel.\n2. In her about section, she has written her website URL, orionmindproject.com.\n3. Entering this website, you can see a series of symbols at the top, and the text \"> see what the symbols mean here\" below it.\n4. Reading through the entries, you can see a short description of some of the symbols.\n5. The only symbol with a curved line that isn't a circle or a portion of a circle is the last one.\n6. Note that the symbol supposedly means \"War is not here, this is a land of peace.\"", "Number of steps": "6", "How long did this take?": "30 minutes.", "Tools": "1. A web browser.\n2. A search engine.\n3. Access to YouTube\n4. Image recognition tools", "Number of tools": "4" }
5b2a14e8-6e59-479c-80e3-4696e8980152
The brand that makes these harnesses the dogs are wearing in the attached pic shares stories from their ambassadors on their website. What meat is mentioned in the story added Dec 8th 2022?
3
bacon
5b2a14e8-6e59-479c-80e3-4696e8980152.jpg
/storage/hf-datasets-cache/medium/datasets/16909121555244-config-parquet-and-info-gaia-benchmark-GAIA-759f5143/downloads/931dbe038478709e8d21e5d04703e9855f590061682b778b9612067c117cdb37
{ "Steps": "1. Use image search for \"dog harness brands with yellow logos\"\n2. Look at harnesses until a similar harness shows up\n3. Click through to see the harness\n4. Search \"ruffwear\"\n5. Go to the website\n6. Navigate to stories\n7. Find the story posted Dec 8th 2022\n8. Read the story to find any meats mentioned", "Number of steps": "8", "How long did this take?": "15 minutes", "Tools": "1. image recognition tools\n2. image search tools\n3. web browser\n4. search engine", "Number of tools": "4" }
9e1fc53b-46ff-49a1-9d05-9e6faac34cc5
A 5-man group made up of one tank, one healer, and three DPS is doing a dungeon that was just released in World of Warcraft. Two are plate wearers and two are cloth wearers. At the final boss, both the tank and the healer are casting holy spells. Ice and fire are being used, each one by a different DPS. A bear from the group is attacking the boss. Metamorphosis is cast. The Kilt of the Forgotten One drops as loot, but no one can use it. If all classes were using their class abilities and all classes are unique, what are the five classes in the group in alphabetical order separated by commas?
3
Death Knight, Hunter, Paladin, Priest, Warlock
{ "Steps": "1. Searched \"WoW classes\" on Google.\n2. Opened \"https://worldofwarcraft.blizzard.com/en-us/game/classes\".\n3. Made an alphabetical list of all WoW classes: Death Knight, Demon Hunter, Druid, Evoker, Hunter, Mage, Monk, Paladin, Priest, Rogue, Shaman, Warlock, and Warrior.\n4. Opened each page and noted the armor type: Death Knight (plate), Demon Hunter (leather), Druid (leather), Evoker (mail), Hunter (mail), Mage (cloth), Monk (leather), Paladin (plate), Priest (cloth), Rogue (leather), Shaman (mail), Warlock (cloth), and Warrior (plate).\n5. Looked up \"Kilt of the Forgotten One\" on Google.\n6. Opened https://www.wowhead.com/wotlk/item=37616/kilt-of-the-forgotten-one.\n7. Noted that it is leather, and none of the classes can use it, so the remaining classes are: Death Knight (plate), Evoker (mail), Hunter (mail), Mage (cloth), Paladin (plate), Priest (cloth), Shaman (mail), Warlock (cloth), and Warrior (plate).\n8. Noted that it was added in Wrath of the Lich King, so if the dungeon is newly released, the era is the Wrath of the Lich King expansion.\n9. Searched \"Wrath of the Lich King class abilities\" on Google.\n10. Opened https://www.wowhead.com/wotlk/spells/abilities.\n11. Sorted by class and noted that Evokers, Demon Hunters, and Monks did not exist yet, so the remaining classes are: Death Knight (plate), Hunter (mail), Mage (cloth), Paladin (plate), Priest (cloth), Shaman (mail), Warlock (cloth), and Warrior (plate).\n12. Checked which classes use Holy school abilities, Paladin (plate) and Priest (cloth), so they must be in the group as tank and healer.\n13. Checked which classes use ice (Frost) and fire abilities, Death Knight (plate), Mage (cloth), Shaman (mail), and Warlock (cloth).\n14. There can only be one other plate class, so it must be Death Knight or Warrior, and one other cloth class, so it must be Mage or Warlock.\n15. Metamorphosis is a Warlock ability in Wrath of the Lich King, so it must be the other cloth class, and the group so far is Paladin, Priest, Warlock, plate DPS, and other DPS, with remaining options of Death Knight (plate), Hunter (mail), Mage (cloth), Shaman (mail), and Warrior (plate).\n16. There cannot be another cloth class, so the remaining options are Death Knight (plate), Hunter (mail), Shaman (mail), and Warrior (plate).\n17. There is a bear attacking the boss and there is no Druid to shapeshift into a bear, so it must be a Hunter's pet, making the group Paladin, Priest, Warlock, Hunter, and plate DPS, with remaining options of Death Knight (plate), Hunter (mail), Mage (cloth), Shaman (mail), and Warrior (plate).\n18. The last class is plate, leaving only Death Knight and Warrior.\n19. Hunters and Warlocks can both cast Fire abilities but cannot cast Frost abilities, so the last DPS must cast ice (Frost) abilities, making the last DPS a Frost Death Knight since Warriors have no Frost abilities.\n20. Order the group alphabetically: Death Knight, Hunter, Paladin, Priest, Warlock.", "Number of steps": "20", "How long did this take?": "20 minutes", "Tools": "1. Web browser\n2. Search engine", "Number of tools": "2" }
5f982798-16b9-4051-ab57-cfc7ebdb2a91
I read a paper about multiwavelength observations of fast radio bursts back in March 2021 on Arxiv, and it had a fascinating diagram of an X-ray time profile. There was a similar burst-1 diagram in another paper from one of the same authors about fast radio bursts back in July 2020, but I can't recall what the difference in seconds in the measured time span was. How many more seconds did one measure than the other? Just give the number.
3
0.2
{ "Steps": "1. Searched \"arxiv\" on Google.\n2. Opened arXiv.\n3. Searched \"multiwavelength observations of fast radio bursts\" on arXiv.\n4. Scrolled down to March 2021.\n5. Opened the \"Multiwavelength observations of Fast Radio Bursts\" PDF in a new tab.\n6. Opened each author's name to find the one that had a July 2020 paper (Nicastro, L).\n7. Opened the \"The lowest frequency Fast Radio Bursts: Sardinia Radio Telescope detection of the periodic FRB 180916 at 328 MHz\" PDF.\n8. Searched \"time profile\" in the first paper.\n9. Noted the time span of the diagram (0.3 s).\n10. Searched \"burst-1 profile\" in the second paper.\n11. Noted the time span of the diagram (0.5 s).\n12. Subtracted the two (0.5 - 0.3 = 0.2 s).", "Number of steps": "12", "How long did this take?": "15 minutes", "Tools": "1. PDF access\n2. Calculator\n3. Web browser\n4. Search engine", "Number of tools": "4" }
0512426f-4d28-49f0-be77-06d05daec096
In the YouTube 360 VR video from March 2018 narrated by the voice actor of Lord of the Rings' Gollum, what number was mentioned by the narrator directly after dinosaurs were first shown in the video?
3
100000000
{ "Steps": "1. Searched \"gollum voice actor\" on Google search.\n2. Noted the answer.\n3. Searched \"youtube 360 vr andy serkis\" on Google search.\n4. Opened the top result (We Are Stars with Andy Serkis - 360 VR Video).\n5. Confirmed the date was in March 2018.\n6. Watched the video until dinosaurs appeared (approximately 8:45).\n7. Recorded the narrated number.", "Number of steps": "7", "How long did this take?": "15 minutes", "Tools": "1. Search engine\n2. Web browser\n3. Audio capability\n4. Video capability", "Number of tools": "4" }
0bdb7c40-671d-4ad1-9ce3-986b159c0ddc
In NASA's Astronomy Picture of the Day on 2006 January 21, two astronauts are visible, with one appearing much smaller than the other. As of August 2023, out of the astronauts in the NASA Astronaut Group that the smaller astronaut was a member of, which one spent the least time in space, and how many minutes did he spend in space, rounded to the nearest minute? Exclude any astronauts who did not spend any time in space. Give the last name of the astronaut, separated from the number of minutes by a semicolon.
3
White; 5876
{ "Steps": "1. Use search engine to search for \"NASA's Astronomy Picture of the Day 2006 January 21\".\n2. Open the link to the image.\n3. Read the explanation to find that the image is of astronaut Charles \"Pete\" Conrad reflected in the helmet of astronaut Alan Bean.\n4. Observe that the smaller astronaut in the image is the one reflected in the other's helmet, so the smaller astronaut must be Charles \"Pete\" Conrad.\n5. Go to the Wikipedia page for Charles \"Pete\" Conrad.\n6. Search for \"Astronaut Group\" to find that Conrad was a member of NASA Astronaut Group 2.\n7. Open the Wikipedia pages for each member of NASA Astronaut Group 2.\n8. For those who are not deceased, go to View history and select the latest version of their Wikipedia page as of August 2023.\n9. Compare the times listed in the infobox of each astronaut's Wikipedia page under \"Time in space\", observing that Ed White has the least time in space with 4d 01h 56m, but also that Elliott See does not have a listed \"Time in space\".\n10. Read through Elliot See's Wikipedia article to find that he died in an accident before his first space flight, so he should be excluded, making Ed White's 4d 01h 56m the least amount of time in space.\n11. Convert 4d 01h 56m to minutes: 4d * 24h/d * 60m/h + 1h * 60m/h + 56m = 5,876m\n12. Format the final answer as specified: White; 5,876", "Number of steps": "12", "How long did this take?": "10", "Tools": "1. Web browser\n2. Search engine\n3. Image processing tools\n4. Calculator", "Number of tools": "4" }