Update README.md

README.md

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 language: [en]
 tags: [arithmetic, pretraining, sub-10M, ArithMark]
 ---
-# ArithMark 2.0 Pretraining Dataset
-Generated for sub-10M LLMs targeting above-random-chance on ArithMark-2.0.
-## Files
-- `arithmark_raw.parquet` — raw order
-- `arithmark_curriculum.parquet` — curriculum-ordered (use this for training)
-Generated: 2026-06-30 13:19 UTC
+# Arithmetic-XL
+
+## 12 Million Verified Arithmetic Examples for Language Model Pretraining
+
+> *"Arithmetic is one of those things that humans learn in primary
+> school but language models somehow manage to forget halfway through
+> training."*
+
+Arithmetic-XL is a **large-scale arithmetic pretraining dataset**
+containing **over 12 million procedurally generated and verified
+examples** designed to improve numerical reasoning in language models.
+
+The dataset was created with one objective:
+
+**Teach models how to think about arithmetic instead of simply
+memorizing answers.**
+
+Unlike many arithmetic datasets that focus only on direct
+question-answer pairs, Arithmetic-XL follows a layered curriculum that
+gradually introduces numerical concepts, multi-step computation,
+operator precedence, compositional reasoning, adversarial examples, and
+arithmetic embedded inside natural language.
+
+Whether you're training a **5M parameter TinyLM** or a **multi-billion
+parameter foundation model**, Arithmetic-XL provides a diverse
+collection of arithmetic examples suitable for **pretraining**,
+**continued pretraining**, and **specialized arithmetic fine-tuning**.
+
+------------------------------------------------------------------------
+
+# Why Another Arithmetic Dataset?
+
+While training language models, I kept running into the same frustrating
+problem.
+
+The model could explain surprisingly complicated topics...
+
+...and then confidently tell me that:
+
+> **17 × 8 = 121**
+
+That felt slightly concerning.
+
+I searched for arithmetic datasets that were:
+
+-   Large
+-   Diverse
+-   Procedurally verified
+-   Suitable for pretraining
+-   Rich enough to teach actual arithmetic patterns rather than simple
+    memorization
+
+I found some excellent datasets.
+
+I also found datasets that contained the same question written five
+hundred different ways.
+
+After enough searching, I reached the conclusion every developer
+eventually reaches:
+
+> "Fine... I'll build it myself."
+
+Several weeks, countless Python scripts, and far too many generated
+equations later...
+
+Arithmetic-XL was born.
+
+------------------------------------------------------------------------
+
+# What Makes Arithmetic-XL Different?
+
+Arithmetic-XL is **not** simply a collection of equations.
+
+It follows a structured curriculum inspired by how humans progressively
+learn arithmetic.
+
+Instead of immediately exposing the model to complicated expressions,
+the dataset gradually increases difficulty through multiple specialized
+layers.
+
+The goal is to help models build numerical intuition before introducing
+increasingly complex reasoning tasks.
+
+------------------------------------------------------------------------
+
+# Dataset Overview
+
+  -----------------------------------------------------------------------
+  Property                            Value
+  ----------------------------------- -----------------------------------
+  **Dataset Name**                    Arithmetic-XL
+
+  **Total Examples**                  **12,000,000+**
+
+  **Generation Method**               Hybrid Procedural + LLM Assisted
+
+  **Verification**                    Computationally Verified
+
+  **Primary Language**                English
+
+  **Domain**                          Arithmetic Reasoning
+
+  **Recommended Usage**               Pretraining / Continued Pretraining
+                                      / Fine-tuning
+
+  **License**                         MIT
+  -----------------------------------------------------------------------
+