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@@ -42,7 +42,7 @@ It can also be used for the task of Question Answering (QA) (when using the colu
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  - `id`: Index number.
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  - `premises`: All premises provided for this particular example, concatenated, in French.
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  - `hypothesis`: The translated hypothesis in the target language (French).
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- - `label`: The classification label, with possible values 0 (`entailment`), 1 (`neutral`), 2 (`contradiction`), or undef (for undefined).
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  - `question`: The hypothesis in the form of question, in French.
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  - `answer`: The answer to the question, with possible values `Yes` (0), `Don't know` / `Unknown` (1), `No` (2), `undef`, or a longer phrase containing qualifications or elaborations such as `Yes, on one reading`.
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  - `premises_original`: All premises provided for this particular example, concatenated, in their language of origin (English).
 
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  - `id`: Index number.
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  - `premises`: All premises provided for this particular example, concatenated, in French.
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  - `hypothesis`: The translated hypothesis in the target language (French).
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+ - `label`: The classification label, with possible values 0 (`entailment`), 1 (`neutral`), 2 (`contradiction`), or undef (for undefined). Attention, because of `undef` given as label for some examples, the values in this column are viewed by Hugging Face as being of the type `string`, not `int`. If you want to use the labels as integers (0, 1, 2), you will have to either put the examples with the label `undef` aside, or change their label, at your own risk, to what you deem most appropriate (0, 1 or 2).
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  - `question`: The hypothesis in the form of question, in French.
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  - `answer`: The answer to the question, with possible values `Yes` (0), `Don't know` / `Unknown` (1), `No` (2), `undef`, or a longer phrase containing qualifications or elaborations such as `Yes, on one reading`.
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  - `premises_original`: All premises provided for this particular example, concatenated, in their language of origin (English).