Introduce PICSAFEv1 purpose and applications

README.md

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 # Speech Quality Test Labels
 
+PICSAFEv1 is a multi-source annotated test dataset for evaluating speech quality assessment and audio data filtering methods. It contains 10,728 audio samples drawn from 14 source datasets, with annotations from a vocabulary of 33 tags. These tags describe recording provenance, speech styles, speaking rate and pitch, speaker attributes, noise, reverberation, distortion, and transcript errors. These annotations support benchmarking quality metrics and filtering methods, selecting thresholds, analyzing errors across audio conditions, and studying data selection for automatic speech recognition and text-to-speech using independently acquired source audio.
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+The dataset provides a shared evaluation set for studying which audio samples a filtering system accepts or rejects, and why. Its tag annotations support both detailed analysis of individual audio characteristics and binary evaluation under the `strict`, `mid`, and `loose` filtering policies described below. Acceptance is policy-dependent: a negative label indicates exclusion under the selected policy, rather than that the recording is unsuitable for every task.
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+When using PICSAFEv1 for threshold selection or model development, keep a separate held-out subset for final evaluation to avoid reporting performance on the same samples used for tuning.
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 It publishes this README, [`metadata.jsonl`](./metadata.jsonl), and a tag-to-binary conversion script, because the 14 source datasets have different copyright and access terms.
 
 The manifest contains the 10,728-sample PICSAFEv1 subset. It is not a license to redistribute the underlying recordings.