---
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](https://huggingface.co/datasets/EssentialAI/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.