# Multi-label classification: getting Sequence(ClassList()) for labels **URL:** \ **Category:** Beginners\ **Created:** [March 23, 2022, 3:24pm UTC](https://discuss.huggingface.co/t/multi-label-classification-getting-sequence-classlist-for-labels/16004 "2022-03-23T15:24:07Z")\ **Posts on this page:** 1\ **Page:** 1
**Author:** ![pbowyer](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/pbowyer/32/4310_2.png) [@pbowyer](https://discuss.huggingface.co/u/pbowyer)\ **Post date:** [March 23, 2022, 3:24pm UTC](https://discuss.huggingface.co/t/multi-label-classification-getting-sequence-classlist-for-labels/16004/1 "2022-03-23T15:24:07Z")
I’m attempting to convert an Image fine-tuning notebook to multi-label classification (there’s a few more questions coming!). I haven’t touched Python since 2.4 so am rusty! The first place I’m stuck is with my labels. My source dataframe can contain the indicies for the matched labels (e.g. `[3, 5]`) or a list of zeros and ones for the categories `[0, 0, 0, 1, 0, 1]`. Older posts on this forum have said I have to use one, or the other. Whichever, I understand that for Huggingface to work, I need to convert them to `Sequence(ClassList(names=classnames), ClassList(names=classnames), ClassList(names=classnames), ...)` **First Question:** how is the ClassList value set? On single-label classifications, this works great ```auto ds = ds.cast_column("label", ClassLabel(num_classes=2, names=['accept', 'reject'])) ``` but I don’t understand which position or named argument takes the column value. I’ve looked at the source code for ClassLabel and stil no clearer 🙂 **Second Question:** how do I massage my labels into the right format to pass in for training? I tried with this and multiple other forms but cannot get it to work. Or am I going in the wrong direction? ```auto df.labels = df['labels'].apply(lambda x, cl=classlist: [ClassLabel(names=cl) for y in list(x.split(','))]) ```