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lex-large
Prepared numeric training cache for the 99.97 KiB, 185-grammar neural lexer. It contains token features and nine-class syntax labels, not the original source text. File-level hashing fixes the train/validation/test split before upload.
Contents
train.npz,val.npz,test.npz: ragged token windows and split indicesmeta.json: counts, label distribution, and per-language coveragelanguage_manifest.json: pinned Highlight.js grammar mappingsources.json: GitHub repository provenance used by corpus preparationchecksums.json: byte sizes and SHA-256 checksums
Total labelled tokens: 140,949,410
Languages covered: 185/185
Sequence length: 512
Download
cd /path/to/lexer/train_large
hf download anudit/lex-large-stack-corpus --repo-type dataset --local-dir ./corpus/dataset
.venv/bin/python test_setup.py
The cache is consumed directly by train_teacher.py, train.py, and
eval_coverage.py. See train_large/note.txt in the lexer repository for the
complete commands.
Integrity
This revision contains 6 payload files. Verify them against
checksums.json after download.
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