| --- |
| license: apache-2.0 |
| task_categories: |
| - text-generation |
| language: |
| - en |
| tags: |
| - web-crawl |
| - pretraining |
| - nlp |
| - text-corpus |
| pretty_name: Web Crawl 2026 |
| size_categories: |
| - 10B<n<100B |
| --- |
| |
| # Web Crawl 2026 |
|
|
| A large-scale web crawl dataset for language model pretraining, collected by the OpenTransformer project. |
|
|
| ## Dataset Description |
|
|
| This dataset contains text extracted from web pages crawled directly from the internet using custom high-throughput crawlers. All data is freshly scraped. |
|
|
| ### Data Format |
|
|
| Each record is a JSON line (gzipped) with fields: |
| - text: extracted text content (200-200,000 chars) |
| - url: source URL |
| - domain: source domain |
| - timestamp: crawl timestamp (ISO 8601) |
| - source: crawler identifier (crawl_rust_v1, crawl_go_v1, crawl_v5) |
| |
| ### Collection Methods |
| |
| Three crawlers run in parallel on a Vast.ai GPU box (Titan Xp, $0.06/hr): |
| |
| | Crawler | Language | Throughput | 1.2GB Chunk Time | Architecture | |
| |---------|----------|------------|-------------------|-------------| |
| | crawl_rust | Rust | 150-300 docs/s | 5-6 min | 500 async workers, tokio | |
| | crawl_go | Go | 11 docs/s | ~2 hrs | 150 goroutines | |
| | crawl_v5.py | Python | 0.8 docs/s | ~25 hrs | 20 async workers | |
|
|
| The Rust crawler is 27x faster than Go and 375x faster than Python. |
|
|
| ### Rust Crawler Architecture |
|
|
| Source code: crawler/rust/ |
|
|
| Key design decisions: |
| - 500 concurrent async workers via tokio + semaphore-based backpressure |
| - Background queue refiller: seed fetching runs in a separate task, never blocks crawling |
| - Pre-generated seed file: 593K URLs from Common Crawl index (12 crawl versions x 20 TLD patterns) |
| - Link discovery: extracts up to 50 links per crawled page, shuffled for domain diversity |
| - Content dedup: MD5 hash of first 500 chars, stored in DashMap (lock-free concurrent hashmap) |
| - Domain throttling: max 1000 pages per domain to ensure diversity |
| - Streaming gzip: writes compressed JSONL chunks (~1.2GB raw -> ~350MB compressed) |
| - Auto-upload: each completed chunk is uploaded to HuggingFace Hub |
|
|
| Seed sources: |
| 1. Common Crawl URL index (CC-MAIN-2024-10 through CC-MAIN-2025-08) |
| 2. Wikipedia random articles API (20K articles) |
| 3. Sitemaps from 34 major sites (Reuters, BBC, Nature, StackOverflow, etc.) |
| 4. Hacker News top/new/best stories |
|
|
| Performance on Titan Xp box ($0.06/hr): |
| - Phase 1: 562K seeds loaded in 28 seconds |
| - Phase 2: 150-300 docs/s sustained throughput |
| - ~1.2GB chunk every 5-6 minutes |
| - ~12-15 GB/hour of raw crawled text |
| - Cost: ~$0.004 per GB of crawled text |
|
|
| ### Building and Running |
|
|
| Install Rust, then: |
|
|
| cd crawler/rust |
| cargo build --release |
| ulimit -n 65536 |
| ./target/release/crawl_rust > crawl.log 2>&1 |
| |
| ### Quality Filtering |
|
|
| - HTML text extraction via scraper crate (article/main/body selectors) |
| - Minimum 200 chars, maximum 200K chars |
| - Content-type filtering (only text/html) |
| - URL filtering: blocks social media, login pages, media files, admin pages |
| - Deduplication via MD5 content hash |
|
|
| ## Intended Use |
|
|
| Pretraining data for the AGILLM-3 language model (698M params, joint AR+SAT architecture). |
|
|
| ## License |
|
|
| Apache 2.0 |
|
|
