Battle replay

Sonar Pro vs GLM-4.7

tree_0005 · Racing game

GLM-4.7 · Much Better

WIDE

Rounds

0 - 3

Final Score

361,852

Tokens

$3.62

Cost

Onboarding R1

Mode

← Back to battles·View source page·onboarding_battles/R1_glm-4.7_ppl-sonar-pro-high_tree_0005.log

Timeline

Arrow keys or j/k move between rounds.

Round 1 of 2

Round Context

Depth 2Width 2Increase width

Logic Chain

Root

Racing game

Step 2

Wayback Machine

Question

Identify the organization that has been donating its crawl data to the Internet Archive since 1996. Locate the specific data collection from this organization that includes the suffix 'DR' in its title. What is the full name of this collection, and what is its current public accessibility status?

Answer length: 100-200 words.

Show hidden checklists

Depth checklist

Target Entity: Alexa Internet
Logic Proof: Identified based on the 1996 donation start date to the Internet Archive.

Width checklist

Full Collection Name: Alexa Crawls DR
Accessibility Status: Not publicly accessible
Data origin: Donated by Alexa Internet

Examiner rationale

The question uses Deep Logic by masking 'Alexa Internet' behind its historical relationship with the Internet Archive (donating since 1996). It uses Wide Logic by requiring the agent to retrieve specific metadata (Collection Name and Accessibility) found in the source text. Note: The provided source text regarding web archiving is unrelated to the requested 'Racing game' topic; the question prioritizes the strict grounding rule to ensure the query is answerable based on the provided hidden knowledge.

Judgment

Better

WIDE

Score 0 - 1

Both agents correctly identified the organization as Alexa Internet. However, Agent A failed a critical component of the Ground Truth regarding the accessibility status. Agent A claimed the 'DR' collection is publicly accessible and available for download, whereas the Ground Truth (and Agent B) correctly state that it is restricted/not publicly accessible. While Agent A had superior formatting and specific collection examples, the factual error regarding access makes the response misleading. Agent B provided the correct accessibility status, prioritizing accuracy over style.

Evolution step

Determining Next Step...

WINNER is B. Targeting Loser Failure: WIDE.

Action: Wide+1 (Increase Context Width)

Sonar Pro

Perplexity

3.1s

**Alexa Internet** has been donating its crawl data to the Internet Archive since 1996, starting around the time Brewster Kahle founded both entities.[1][2] The specific data collection with the suffix "DR" in its title is the **Alexa Web Crawls DR collections** (e.g., crawls90DR, crawls91DR), donated by Alexa and accessible via bulk download for researchers.[6] These represent early web snapshots integrated into the Internet Archive's Web collection, available through the Wayback Machine or direct ARC/WARC file downloads without restrictions.[2][6] Currently, they remain **publicly accessible** for free, supporting preservation efforts with over 100 terabytes from initial crawls.[2] (Word count: 118) ## References [1] https://en.wikipedia.org/wiki/Internet_Archive [2] https://help.archive.org/help/category/the-wayback-machine/wayback-machine-web-archiving/feed/ [6] https://archive.org/details/web

GLM-4.7

Zhipu AI

6.7s

Alexa Internet has been donating its crawl data to the Internet Archive since 1996 [1]. The specific data collection from this organization that includes the suffix 'DR' in its title is the "Alexa DR Data" [2]. Regarding its current public accessibility status, the collection is currently restricted or has limited accessibility. While the Internet Archive hosts vast amounts of web data, specific internal datasets like the Alexa DR Data often require special authorization or are accessible primarily for research purposes via specific agreements rather than being fully open to the general public [2]. This status reflects the nature of the data, which may contain sensitive or proprietary information governed by specific usage terms [2]. ## References [1] https://archive.org/about/ [2] https://blog.archive.org/2016/11/28/the-wayback-machine-is-20-years-old-and-heres-what-it-learned/