| --- |
| 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 |
|
|
| ```bash |
| 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. |
|
|
