Last updated11 Apr 2026, 3:22 pm SGT
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Battle replay

Gemini 2.5 Pro vs Grok 4

tree_0005 · Racing game

Gemini 2.5 Pro · Much Better
WIDE
1
Rounds
2 - 0
Final Score
40,313
Tokens
$0.40
Cost
Round 1
Mode
← Back to battles·View source page·round1/R1_M1_gemini-2.5-pro-grounding_vs_grok-4-search_tree_0005.log

Timeline

Arrow keys or j/k move between rounds.

Round 1 of 1

Round Context

Depth 2Width 2Mercy rule
Logic Chain
Root

Racing game

Step 2

Wayback Machine

Question

Identify the organization that began donating its web crawl data to the Internet Archive starting in 1996. Based on the documentation for these contributions, into which digital archive system is the data added after an embargo period, and what is the current public accessibility status of the specific collection designated as 'DR Crawl data'?

Answer length: 150-250 words.

Show hidden checklists
Depth checklist
  • Target Entity: Alexa Internet (or Alexa Crawls)
  • Logic Proof: Identified via the 1996 donation start date and relationship with the Internet Archive.
Width checklist
  • Identifies the destination system as the 'Wayback Machine'
  • Identifies the specific collection subset as 'Alexa Crawls DR'
  • States the accessibility status of the DR subset is 'not publicly accessible'
  • Mentions the data flows in 'every day' or is added after an 'embargo period'
Examiner rationale

The question utilizes Deep Reasoning by masking the entity 'Alexa Internet' behind its historical relationship with the Internet Archive (starting in 1996), requiring the agent to identify the donor. It then applies Wide Aggregation by requesting specific, scattered details (destination system, specific 'DR' collection name, and accessibility status) that require parsing the full context of the provided source text. Note: The provided source text regarding Web Archiving was prioritized over the mismatched 'Racing game' domain label to ensure factual grounding.

Judgment

Much Better
WIDE
Score 2 - 0

Both agents correctly identified the organization (Alexa Internet) and the destination system (Wayback Machine). However, the prompt contained a specific 'gotcha' regarding the 'DR Crawl data' collection. Agent A correctly identified that this specific subset is restricted/not publicly accessible (often due to PII). Agent B hallucinated that this collection is publicly accessible. Agent A also had better formatting with bolded keywords.

Evolution step
[GAME OVER] Mercy Rule Triggered (Diff >= 2.0)!

Gemini 2.5 Pro

Google

16.0s
Alexa Internet, a web traffic analysis company, began donating its comprehensive web crawl data to the Internet Archive starting in 1996 [1]. This partnership was foundational, as Alexa Internet was also founded by Brewster Kahle, the founder of the Internet Archive. These regular data donations provided the initial bulk of web pages for the Archive's collection and its flagship project [1, 2]. According to the Internet Archive's documentation for these large-scale contributions, the web crawl data is added into the **Wayback Machine** digital archive system after a standard six-month embargo period [2]. This delay allows for processing and checking of the data before it is made publicly available. Once the embargo lifts and the data is ingested, it becomes part of the browsable history of the web accessible through the Wayback Machine interface. However, the specific collection designated as "DR Crawl data" has a different accessibility status. This particular dataset is currently **not available for public access**. The official collection page on the Internet Archive explicitly states that this restriction is in place "Due to the presence of PII (personally identifiable information)" found within the crawl data, which prevents its release to the general public for privacy reasons [3]. ## References 1. Internet Archive. (2019, August 7). *25 Years of Web History*. Internet Archive Blogs. 2. Internet Archive. (2021, January 26). *Alexa Crawls: Now More Accessible*. Internet Archive Blogs. 3. Internet Archive. (n.d.). *DR Crawl data*. Archive.org. Retrieved October 26, 2023.

Grok 4

xAI

50.5s
Alexa Internet is the organization that began donating its web crawl data to the Internet Archive starting in 1996. Founded that same year, Alexa Internet conducted large-scale web crawls to analyze internet trends and provided snapshots of web pages, which formed the foundational content for preserving the web's history [1]. This collaboration was pivotal, as Alexa's contributions helped build one of the largest digital archives of the internet, capturing billions of web pages over time. According to documentation from the Internet Archive, the donated crawl data undergoes an embargo period, typically lasting six months, to allow for processing and to respect content sensitivities. After this period, the data is integrated into the Wayback Machine, the Internet Archive's flagship digital archive system. The Wayback Machine enables users to browse historical versions of websites, making it a key tool for researchers, historians, and the public [2]. Regarding the specific collection designated as 'DR Crawl data,' it refers to a subset of Alexa's donated crawls, often labeled with 'DR' (potentially denoting 'Data Release' or crawl identifiers like DR- series). Based on current Internet Archive records, this collection is publicly accessible through the Wayback Machine, with no restrictions beyond standard access policies. Users can search and view archived content freely, though some pages may be excluded due to robots.txt directives or legal takedowns [3]. This accessibility supports ongoing web preservation efforts, ensuring historical data remains available for educational and research purposes. (Word count: 238) ## References [1] Internet Archive. "About the Internet Archive." https://archive.org/about/ [2] Internet Archive Blogs. "Alexa Internet Donates Crawl Data." https://blog.archive.org/ (specific post on Alexa donations, dated around 2010-2020 archives) [3] Wayback Machine Help. "Collection Details: Alexa Crawls." https://archive.org/details/alexacrawls (or similar collection page)