Add a small standard-library Python script (no dependencies, matching the others in 06_corpus/scripts/) that validates each data/freq_*.csv:
- expected columns present (see
data/README.md)
rank is 1..N with no gapscount/per_million are non-negative numbers
Print a short report and exit non-zero on failure. Good first contribution for a Python developer.
Add a small standard-library Python script (no dependencies, matching the others in
06_corpus/scripts/) that validates eachdata/freq_*.csv:data/README.md)rankis 1..N with no gapscount/per_millionare non-negative numbersPrint a short report and exit non-zero on failure. Good first contribution for a Python developer.