 To minimise overly favourable evaluation, we examine learning on a long-tailed, low-resource, multi-label text classification dataset with noisy, highly sparse labels and many rare concepts.
<clarity>  To minimise overly favourable evaluation, we examine learning on a long-tailed, low-resource, multi-label text classification dataset with noisy, highly sparse labels and many rare concepts.
 To minimise overly favourable evaluation, we examine learning on a long-tailed, low-resource, multi-label text classification scenario with noisy, highly sparse labels and many rare concepts.