Heavily filtered Common Crawl used to train T5.
这两项技术尚未记录可对比的属性。
由上述差异按固定规则生成，不是模型生成的。
Choose Colossal Clean Crawled Corpus if…
已记录的属性中，没有任何一项显示它更有优势。
Choose FineWeb if…
已记录的属性中，没有任何一项显示它更有优势。
页面保持可访问，但在积累足够的带来源细节之前不纳入搜索索引（PRD SEO-08）。
dataset · Datasets
C4 is a cleaned and filtered derivative of a single Common Crawl snapshot, built for training and released with the T5 paper. It solves the problem that raw crawl data contains boilerplate, navigation and machine-generated text at a volume that damages training. It exists as the corpus whose filtering rules became the baseline every later web dataset is measured against.
dataset · Datasets
FineWeb is a 15-trillion-token web corpus derived from Common Crawl, released together with the exact filtering and deduplication steps used to produce it. It solves the problem that most published corpora document their contents but not their construction, leaving any difference in results unattributable. It exists as a corpus built to be reproducible, which makes it usable as a baseline rather than just as data.
