snli -1 labels
CONTRIBUTOR
@jxmorris12  , we use `-1` to label examples for which `gold label`  is missing (`gold label = -` in the original dataset). 
2020-06-23T07:41:56Z
https://github.com/huggingface/datasets/issues/296#issuecomment-647969288
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CONTRIBUTOR
Thanks @mariamabarham! so the original dataset is missing some labels? That is weird. Is standard practice just to discard those examples training/eval?
2020-06-23T12:56:15Z
https://github.com/huggingface/datasets/issues/296#issuecomment-648127241
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CONTRIBUTOR
Yes the original dataset is missing some labels maybe  @sleepinyourhat , @gangeli can correct me if I'm wrong 
For my personal opinion at least if you want your model to learn to predict no answer (-1) you can leave it their but otherwise you can discard them. 
2020-06-23T13:18:30Z
https://github.com/huggingface/datasets/issues/296#issuecomment-648140947
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2020-06-23T13:18:30Z
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CONTRIBUTOR
thanks @mariamabarham  :)
2020-06-23T14:41:58Z
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I'm trying to train a model on the SNLI dataset. Why does it have so many -1 labels?
```
import nlp
from collections import Counter
data = nlp.load_dataset('snli')['train']
print(Counter(data['label']))
Counter({0: 183416, 2: 183187, 1: 182764, -1: 785})
```
