Datasets:

maximoss
/

fracas

Tasks:

Text Classification

Question Answering

Modalities:

Formats:

Sub-tasks:

natural-language-inference

multi-input-text-classification

Languages:

Size:

Tags:

Libraries:

License:

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maximoss commited on Feb 5

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@@ -42,7 +42,7 @@ It can also be used for the task of Question Answering (QA).
 - `hypothesis`: The translated hypothesis in the target language (French).
 - `label`: The classification label, with possible values 0 (`entailment`), 1 (`neutral`), 2 (`contradiction`), or undef (for undefined).
 - `question`: The hypothesis in the form of question, in French.
-- `answer`: The answer to the question, with possible values `yes` (0), `unknown` (1), `no` (2), `undef`, or a longer phrase containing qualifications or elaborations such as `Yes, on one reading`.
 - `premises_original`: All premises provided for this particular example, concatenated, in their language of origin (English).
 - `premise1`: The first premise in English.
 - `premise1_original`: The first premise in English.

 - `hypothesis`: The translated hypothesis in the target language (French).
 - `label`: The classification label, with possible values 0 (`entailment`), 1 (`neutral`), 2 (`contradiction`), or undef (for undefined).
 - `question`: The hypothesis in the form of question, in French.
+- `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`.
 - `premises_original`: All premises provided for this particular example, concatenated, in their language of origin (English).
 - `premise1`: The first premise in English.
 - `premise1_original`: The first premise in English.