File size: 3,257 Bytes
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Plain-text fixtures for benchmarking encode performance across languages,
scripts, and content types. Built by `fetch_fixtures.py` (same directory);
exact per-file provenance — source dataset, config, split, pinned revision
SHA, byte/doc counts, build date — is recorded in `fixtures_manifest.json`.
Layout:
- `lang/` — natural-language corpora, one `<lang>_<script>.txt` per language
- `modalities/` — code, math, and agentic-trace corpora
Note: this whole `data/` directory is gitignored. To rebuild any file from
scratch:
```sh
uv run --python 3.12 --with 'datasets>=3.2' fetch_fixtures.py [name ...]
```
## Natural languages — `lang/<lang>_<script>.txt`
Named by ISO 639-3 language code + ISO 15924 script code, matching the
config names of [HuggingFaceFW/fineweb-2](https://huggingface.co/datasets/HuggingFaceFW/fineweb-2),
the source for all non-English files (real, deduplicated, filtered web text;
ODC-By license). ~5 MB per language, whole documents separated by blank
lines, taken in dataset order from the (small) `test` split at a pinned
revision. `eng_Latn.txt` comes from
[HuggingFaceFW/fineweb](https://huggingface.co/datasets/HuggingFaceFW/fineweb)
(`sample-10BT`) as the Latin-script baseline.
Coverage: Devanagari (hin), Bengali (ben), Tamil (tam), Cyrillic (rus),
Arabic (arb, RTL), Hebrew (heb, RTL), Japanese (jpn), Hangul (kor),
Han (cmn), Thai (tha, no word separators), Greek (ell), Georgian (kat),
Ethiopic (amh), Latin (eng).
## Modalities — `modalities/`
- `code_mixed.txt` — source code, ~0.75 MB each of Python/JS/TS/Rust/Go/
Java/C/C++ from GitHub tarballs of well-known OSS repos (django, jquery,
vue, tokio, caddy, junit5, redis, fmt), pinned to the commit SHAs recorded
in the manifest and read in memory only. `bigcode/the-stack-smol` would
have been the HF-native choice but is gated and no valid HF token was
available at build time.
- `math_latex.txt` — mathematical web text with LaTeX from
[open-web-math/open-web-math](https://huggingface.co/datasets/open-web-math/open-web-math).
- `agentic_swe.txt` — real SWE-agent coding-assistant trajectories from
[SWE-bench/SWE-smith-trajectories](https://huggingface.co/datasets/SWE-bench/SWE-smith-trajectories),
serialized as `[role]\ncontent` blocks (tool calls, diffs, terminal output
included). Complements `agentic-traces.txt` (pre-existing synthetic
Claude-Code-style traces, provenance unrecorded — not managed by
`fetch_fixtures.py`, moved here from `data/` for tidiness; referenced by
`tk-encode`'s `pipeline_benchmark.rs` and `pipeline_oracle.rs`).
## Safety notes
- `fetch_fixtures.py` forces `HF_DATASETS_TRUST_REMOTE_CODE=0` and only
reads parquet-native datasets — no dataset loading scripts execute.
- Revisions are pinned at fetch time (recorded in the manifest), so a
rebuild can't silently pull different upstream content.
- Content is raw web/code text: treat it as untrusted data. Fine to feed to
tokenizers; don't execute it, and prefer `less` over `cat` when eyeballing
it (raw web text can contain terminal escape sequences). NUL bytes are
stripped at build time; everything else is kept as-is on purpose — the
mess is representative.
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