<commit_before># mir_eval

Collection of Python scripts to compute common heuristic accuracy scores for various music/audio information retrieval/signal processing tasks.

Dependencies:

* [Scipy/Numpy](http://www.scipy.org/)

* [Scikit-learn](http://scikit-learn.org/) for segmentation metrics<commit_msg>Added doc link to readme<commit_after># mir_eval

Collection of Python scripts to compute common heuristic accuracy scores for various music/audio information retrieval/signal processing tasks.

Documentation: http://craffel.github.io/mir_eval/

Dependencies:

* [Scipy/Numpy](http://www.scipy.org/)

* [Scikit-learn](http://scikit-learn.org/) for segmentation metrics
{'fraction_non_alphanumeric': 0.10682492581602374, 'fraction_numerical': 0.0, 'mean_word_length': 5.490384615384615, 'pattern_counts': {'":': 0, '<': 3, '<?xml version=': 0, '>': 3, 'https://': 0, 'lorem ipsum': 0, 'www.': 2, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '278283', 'n_tokens_mistral': 204, 'n_tokens_neox': 192, 'n_words': 55}