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| license: other | |
| task_categories: | |
| - text-generation | |
| language: | |
| - en | |
| - code | |
| tags: | |
| - kernel | |
| - systems-programming | |
| - computer-architecture | |
| - algorithms | |
| pretty_name: kernel-llm pool (part 1, knowledge slice) | |
| # kernel-llm pool — part 1: books, algorithms, mathematics, architecture | |
| Training text for a kernel/machine-level C specialist. This is **part 1 of a | |
| multi-part pool**, not the full 1T-token dataset: it is the knowledge slice | |
| (design, architecture, algorithms, maths), built from repositories whose licences | |
| were read rather than assumed. | |
| Volume is stated as measured: **15.6M tokens** across 6735 rows, where a token is | |
| estimated as bytes/3.6 because no tokenizer was run over this part. Byte counts are | |
| exact; the token figure is an estimate and is labelled as one in `stats.json`. | |
| ## Contents | |
| | source | bucket | licence | rows | est. tokens | flag | | |
| |---|---|---|---:|---:|---| | |
| | `opentitan` | arch_code | Apache-2.0 | 4065 | 8034k | clean | | |
| | `vulkan-spec` | books | CC-BY-4.0 | 726 | 3118k | clean | | |
| | `aosa` | books | CC-BY-3.0 | 76 | 797k | clean | | |
| | `rocket-chip` | arch_code | BSD-3-Clause OR Apache-2.0 | 308 | 592k | clean | | |
| | `discrete-book` | math | CC-BY-NC-SA-4.0 | 132 | 577k | restricted | | |
| | `cp-algorithms` | algorithms | CC-BY-SA-4.0 | 165 | 457k | clean | | |
| | `miaow` | arch_code | BSD-3-Clause | 204 | 447k | clean | | |
| | `opencl-spec` | books | CC-BY-4.0 | 106 | 422k | clean | | |
| | `thealgorithms-c` | algorithms | GPL-3.0 | 398 | 275k | clean | | |
| | `sdxpy` | books | CC-BY-NC-4.0 | 115 | 255k | restricted | | |
| | `spike` | arch_code | BSD-3-Clause | 259 | 249k | clean | | |
| | `vexriscv` | arch_code | MIT | 97 | 228k | clean | | |
| | `ods` | books | CC-BY-2.5-CA | 19 | 135k | clean | | |
| | `ods-code` | algorithms | CC-BY-2.5-CA | 65 | 61k | clean | | |
| | **total** | | | **6735** | **15.6M** | | | |
| Every row carries `source`, `repo_license`, `spdx`, `commit`, `n_bytes`, `n_tokens` | |
| (`-1` when not measured), `restricted` and `path`, so a subset can be rebuilt exactly | |
| and every row can be traced to the commit it came from. | |
| ## Licence flags — read before training | |
| This pool contains NonCommercial material. It is included and marked, but it is | |
| **not** free for commercial use: | |
| * `discrete-book` — CC-BY-NC-SA-4.0 | |
| * `sdxpy` — CC-BY-NC-4.0 | |
| Filter those rows out of any commercial training mix: | |
| ```python | |
| ds = ds.filter(lambda r: not r["restricted"]) | |
| ``` | |
| Publishing this data, or keeping it private, does not change the position: an NC | |
| licence restricts the *use*, not only the redistribution, so training a model you | |
| sell on NC text is a commercial use even if the text never leaves your disk. | |
| Publisher-copyrighted books (Operating Systems: Three Easy Pieces, Computer | |
| Architecture: A Quantitative Approach, Designing Data-Intensive Applications, | |
| Systems Performance, Linux Kernel Development, Refactoring, Design Patterns) are | |
| **not present at all** — no rows, no URLs. A book you can read online is not a | |
| book you may train on. | |
| ## What is not here | |
| * kernel and driver trees (Linux, RTOS, GPU drivers) — part 2 | |
| * other kernels and compute kernels — part 3 | |
| * Stack v2 subsets — part 4 (gated) | |
| * traces, commits, synthetic and replay data — part 5 | |
| ## Dedup and splits | |
| `6735` distinct near-duplicate signatures; exact duplicates and MinHash near-duplicates | |
| were dropped, with sources deduplicated in priority order so a trusted copy wins over | |
| a mirror. `heldout` is 2% of groups, capped so no bucket is gutted. | |
| **The held-out split is public.** It is a development split for measuring | |
| contamination, not a secret holdout; encrypting public data does not create one. | |
| ## How to load | |
| ```python | |
| from datasets import load_dataset | |
| ds = load_dataset("ruthvikanne/kernel-pool-knowledge", split="train") | |
| ``` | |
| `mix.json` and `mix-manifest.parquet` hold a *plan* (tier weights, repeat counts) | |
| that joins on `path`; the text stays in the shards. `LICENSES.json` records, per | |
| source, the declared licence, the evidence it was read from, and the exact commit. | |