| --- |
| license: odc-by |
| task_categories: |
| - text-generation |
| language: |
| - en |
| tags: |
| - math |
| - code |
| - education |
| - k12 |
| size_categories: |
| - 1M<n<10M |
| --- |
| |
| # K-12 Math & Coding Dataset |
|
|
| A ~2 billion token dataset built for K-12 math and coding education use |
| cases: **1,004,991,667 tokens** of math content and **1,020,505,114 tokens** |
| of code content, both comfortably over the 1B-token target for each |
| category. |
|
|
| ## Dataset Summary |
|
|
| | Category | Tokens | Rows | File | |
| |----------|-------:|-----:|------| |
| | Math | 1,004,991,667 | 676,018 | `math/final.jsonl` | |
| | Code | 1,020,505,114 | 937,248 | `code/final.jsonl` | |
|
|
| Built via a 6-phase pipeline: source collection → cleaning (PII redaction, |
| boilerplate/spam removal, encoding fixes) → deduplication (exact SHA-256 + |
| fuzzy MinHash LSH) → heuristic quality filtering → budget-controlled final |
| sampling → manual quality audit. Full methodology, per-source breakdowns, |
| and known limitations are in `final_report.md`. |
|
|
| ## Schema |
|
|
| Each line is a JSON object: |
|
|
| ```json |
| { |
| "text": "...", |
| "source": "finemath4plus", |
| "category": "math", |
| "quality_score": 4.3, |
| "token_count": 512, |
| "language": "en", |
| "metadata": {} |
| } |
| ``` |
|
|
| - `quality_score`: populated only for `finemath4plus` (has an upstream |
| classifier score); `null` for all other sources. |
| - `language`: natural-language code (all records verified predominantly |
| English). For code records, the actual programming language is under |
| `metadata.programming_language`. |
| - `metadata`: source-specific extra fields (URL, license, file path, repo |
| name, exercise name, difficulty, etc. — varies by source). |
|
|
| ## Sources |
|
|
| **Math**: FineMath 4+, OpenWebMath, GSM8K, MATH (hendrycks_math). |
| **Code**: GitHub Code (Python/JavaScript/Java/HTML/CSS via |
| `codeparrot/github-code-clean`), freeCodeCamp, Exercism, APPS, CodeContests. |
| |
| ## Token Counting |
| |
| All token counts use the `tiktoken` `cl100k_base` tokenizer, computed via |
| exact `encode_ordinary()` calls (not estimates) at every pipeline stage. |
|
|
| ## Quality Audit |
|
|
| Both categories were manually spot-checked twice (once pre-assembly, once |
| on the final sampled corpus). Code passed cleanly at every check (~90-94% |
| good, 0-2% bad). Math's final spot-check found a 15% "bad" rate (above the |
| 10% target threshold) driven by several low-frequency, hard-to-cheaply-filter |
| patterns (AI-generated SEO filler, off-topic forum comment dumps, one |
| essay-mill advertisement, thin template pages) — documented as an accepted |
| residual limitation rather than silently delivered. **See `final_audit.md` |
| and `final_report.md` Section 8 for full detail before using this dataset |
| for anything quality-sensitive.** |
|
|
| ## Known Limitations |
|
|
| See `final_report.md` Section 8 for the complete list, including: |
| math corpus residual bad-rate, AMPS/OpenStax not sourced, The Stack v2 |
| substituted with GitHub Code due to gating, freeCodeCamp/Exercism volume |
| shortfall, and HTML's residual auto-generated-doc contamination. |
|
|
| ## License |
|
|
| Source licenses vary per record — see `metadata.license` for code records |
| where available. FineMath 4+ and OpenWebMath are ODC-By. Aggregate dataset |
| provided as-is for research/educational use; verify individual source |
| licenses before redistribution. |
|
|
