Update README.md

README.md

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 # Speech Quality Assessment Data
 The dataset is derived from the TMHINT-Q dataset [(paper)](https://arxiv.org/pdf/2111.02585). The speech is in Mandarin Chinese, and noise of different types and levels was added to clean speech. 
-Human annotators were asked to score each audio on its "quality" aspect on a 1-5 scale (shown in `human_quality_a/b` is the average across multiple annotators).
+Human annotators were asked to score each audio on its "quality" aspect on a 1-5 scale (shown in `human_quality_a/b` is the average across multiple annotators). Note that the full pairwise mapped dataset contains 6475, and for this work we sample 600 rows.
 
 - `label = a` => `audio_a` is of higher quality than `audio_b` (i.e., less noisy and clearer)
 - `label = b` => `audio_b` is of higher quality than `audio_a`