Add dataset README

README.md

@@ -1,3 +1,49 @@
----
-license: mit
----
+---
+license: apache-2.0
+task_categories:
+  - text-generation
+tags:
+  - marin
+  - token-counts
+  - pretraining
+pretty_name: Marin Token Counts
+---
+
+# Marin Token Counts
+
+Token counts for all datasets used in [Marin](https://github.com/marin-community/marin) pretraining runs.
+
+## Schema
+
+| Column | Type | Description |
+|--------|------|-------------|
+| `dataset` | string | Dataset identifier |
+| `marin_tokens` | int | Number of tokens after tokenization |
+| `category` | string | Content domain (web, code, math, academic, books, etc.) |
+| `synthetic` | bool | Whether the data is LLM-generated or LLM-translated |
+
+## Categories
+
+- **web** — Quality-classified Common Crawl text (Nemotron-CC)
+- **code** — Source code and code-related documents
+- **math** — Math-focused extractions and competition problems
+- **academic** — Peer-reviewed papers and abstracts
+- **reasoning** — Cross-domain reasoning and formal logic
+- **books** — Digitized public domain and open access books
+- **legal** — Court decisions, regulations, patents
+- **government** — Parliamentary proceedings and publications
+- **education** — Open educational resources and textbooks
+- **encyclopedic** — Wiki-style reference content
+- **forum** — Q&A sites and chat logs
+- **documents** — PDF-extracted document text
+- **translation** — Parallel translation corpora
+- **news** — CC-licensed news articles
+- **media** — Transcribed audio/video
+- **supervised** — Curated task datasets
+- **reference** — Niche reference sites
+- **general** — General-domain content
+
+## Updates
+
+This dataset is updated by running `experiments/count_tokens.py` from the Marin repo,
+which reads tokenized dataset stats from GCS and pushes the results here.