Datasets:
Download README.md from alea-institute/alea-synth-code: direct link, hf CLI and curl.
- Browser
- Download file 4.72 kB
-
https://huggingface.co/datasets/alea-institute/alea-synth-code/resolve/main/README.md
- Command line
-
hf download hf://datasets/alea-institute/alea-synth-code/README.md
-
curl -L -o README.md https://huggingface.co/datasets/alea-institute/alea-synth-code/resolve/main/README.md
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 (`< |
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.