---
license: cc-by-4.0
language:
- en
pretty_name: ALEA synthetic code files
task_categories:
- text-generation
size_categories:
- 10K<n<100K
tags:
- code
- c
- rust
- typescript
- python
- synthetic
- alea
- alea-r4
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*.parquet
---

# ALEA synthetic code files

Raw files from synthetic code artifacts in C, Rust, TypeScript and Python: focused samples and textbook-style walkthroughs on topics from mathematics and data structures to file formats and application foundations. One document per file, with a path header in the file's own comment syntax; files include source, tests, text fixtures and data, READMEs, walkthroughs and package manifests.

**10,930 documents, 28,621,267 tokens** (`alea-v2b-sw32k`, the ALEA R4 tokenizer, counting each document's start and end tokens).

## Part of the ALEA R4 training mix

This dataset contains all trained rows of this family except 2 files omitted for internal-path hygiene: R4 trained on 10,932 documents (28,629,787 tokens) in its stable pretraining mixture (second data stage, one pass each), and 10,930 are released here. Every released row is byte-identical to the trained text; `text_sha256` is the SHA-256 of `text`.

Held-out evaluation items generated by the same code are not part of this release.

## Composition

| task | documents | tokens |
|---|---:|---:|
| `source` | 2,994 | 9,434,434 |
| `readme` | 2,264 | 2,187,885 |
| `test` | 2,124 | 9,879,574 |
| `manifest` | 1,261 | 118,269 |
| `walkthrough` | 1,011 | 3,934,079 |
| `data` | 868 | 2,401,194 |
| `prose` | 408 | 665,832 |

| generator | documents | tokens |
|---|---:|---:|
| `codex` | 8,000 | 19,760,910 |
| `unknown` | 1,363 | 4,192,708 |
| `claude-sonnet` | 1,183 | 3,507,277 |
| `codex-gpt-6.1-sol` | 376 | 1,146,568 |
| `claude-sonnet+codex-draft` | 8 | 13,804 |

## How it was made

The artifacts were written by coding agents in an ALEA code-synthesis campaign. The `generator` column gives the generator recorded in each artifact's provenance file: `codex` (OpenAI Codex), `codex-gpt-6.1-sol` (OpenAI Codex with GPT-6.1-sol), `claude-sonnet` (Anthropic Claude Sonnet), `claude-sonnet+codex-draft` (a Claude Sonnet artifact from a Codex draft), and `unknown` where the provenance file does not record one.

## Sources

- Synthetic code artifacts (no third-party repositories)

## Verification

- File-level drops (detection only): infrastructure strings and absolute host paths, secrets, binaries, captured logs and stdout, provenance and review records, exact duplicates, walkthrough code near-duplicating the same topic's sample, and Markdown dominated by process text.
- A blind review judged sampled files against the bar for a curated natural-code corpus and hand-checked worked examples.
- Decontamination: training rows that shared a word 13-gram with a held-out evaluation item of this or any sibling family were removed, and rows overlapping ALEA's evaluation sets were removed or logged according to ALEA's decontamination policy.
- Every file in this release was scanned for API keys, access tokens and private keys; none were found.

## Columns

| column | content |
|---|---|
| `id` | row id from the generator (not always unique: a few families reuse an id across variants, and a handful of exact duplicate documents were trained twice and appear twice) |
| `text` | the document exactly as trained; chat documents use ALEA's chat template, whose control tokens appear as text (`<|start|>`, `<|system|>`, `<|user|>`, `<|assistant|>`, `<|eot|>`, `<|end|>`) |
| `task` | task kind |
| `phase` | `stable` (trained in R4's stable pretraining mixture) |
| `generator` | what wrote the row (`deterministic` = code only) |
| `group_id` | source passage / record group; all variants of one group share it |
| `prompt_chars` | length in characters of the request part of `text` (0 for plain documents; null where not recorded) |
| `n_tokens` | tokens under `alea-v2b-sw32k`, including the document start and end tokens |
| `text_sha256` | SHA-256 of `text` |
| `meta` | JSON: the generator's structured fields (source, presentation, answer form, gold values, checks) |

## Known limitations

- Files keep natural-repository quirks: some docstrings and READMEs mention tiers, contracts, fixtures or review steps, and some identifiers are seed words.
- Tests may reference fixtures that are not included.
- Code was written by models; review it before reuse.

## License

CC-BY-4.0 for this compilation and the generated text. Public-domain and public-record source text keeps its status; Wikidata is CC0; OpenGloss and SHELF are CC-BY-4.0.

Published by the [ALEA Institute](https://aleainstitute.ai).