README.md

metadata

pretty_name: lex-large
task_categories:
  - token-classification
tags:
  - source-code
  - syntax-highlighting

lex-large

Prepared numeric training cache for the 101,107-byte, 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 indices
• meta.json: counts, label distribution, and per-language coverage
• language_manifest.json: pinned Highlight.js grammar mapping
• sources.json: GitHub repository provenance used by corpus preparation
• gpu_lexer_import.json: hashes and counts for the imported gpu-lexer train/mining shards; the verification split is excluded
• checksums.json: byte sizes and SHA-256 checksums

Total labelled tokens: 136,430,550

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_v2
.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 7 payload files. Verify them against checksums.json after download.