language:
- en
size_categories:
- n<1K
tags:
- pretraining
- essential-web
- diffusion-lm
essential-web-subsample
A small, category-balanced subsample of Essential-Web v1.0 for studying how generation behavior (e.g. diffusion-LM parallelism) varies with data type.
900 documents = 100 per category across 9 categories, mapped from Essential-Web's document_type_v1.primary.label:
| category | Essential-Web document_type_v1 |
|---|---|
| code | Code/Software |
| papers | Academic/Research |
| encyclopedic | Reference/Encyclopedic/Educational |
| legal | Legal/Regulatory |
| literary | Literary/Creative |
| news | News/Editorial |
| social | Social/Forum |
| reviews | Reviews/Critiques |
| political | Government/Political |
Each document is word-level truncated so its token count is in [1024, 2048] under BOTH the LLaDA-8B-Base and Dream-v0-Base-7B tokenizers — so the identical text is usable by both models (no tokenizer-specific truncation).
Fields: text, category, n_tokens_llada, n_tokens_dream, id, url.
Source: documents drawn from the CC-MAIN-2024-38 crawl of Essential-Web v1.0. Note: Essential-Web is web-derived, so a category like code means web pages classified as code/software content (dev blogs, docs, forum posts), not raw source files. Inherits Essential-Web's license/terms.