Download tools/check_encoding.py from johannhartmann/jevbench-de: direct link, hf CLI and curl.
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https://huggingface.co/datasets/johannhartmann/jevbench-de/resolve/main/tools/check_encoding.py
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hf download hf://datasets/johannhartmann/jevbench-de/tools/check_encoding.py
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curl -L -o check_encoding.py https://huggingface.co/datasets/johannhartmann/jevbench-de/resolve/main/tools/check_encoding.py
909 Bytes
| """Audit the pinned actual Unsloth parser/encoder, without training or truncating data.""" | |
| from pathlib import Path | |
| import runpy | |
| import sys | |
| import shutil | |
| ROOT=Path(__file__).resolve().parents[1];WORKSPACE=ROOT.parents[1] | |
| sys.path.insert(0,str(WORKSPACE/'scripts')) | |
| import quality_common | |
| def benchmark_rows(splits=None,data=None): | |
| for row in quality_common.rows(ROOT/'data/benchmark.parquet'):yield 'public_evaluation',row | |
| quality_common.active_rows=benchmark_rows | |
| prefix='jevbench_de_' | |
| sys.argv=['check_training_path.py','--data',str(ROOT),'--report-prefix',prefix] | |
| runpy.run_path(str(WORKSPACE/'scripts/check_training_path.py'),run_name='__main__') | |
| for name in ['training_path.json','training_render_samples.json']: | |
| shutil.copyfile(quality_common.REPORT/(prefix+name),ROOT/'audit'/name) | |
| shutil.copyfile(quality_common.OUT/(prefix+'training_token_lengths.parquet'),ROOT/'audit/token_lengths.parquet') | |