Datasets:

maximoss
/

fracas

Tasks:

Text Classification

Question Answering

Modalities:

Formats:

Sub-tasks:

natural-language-inference

multi-input-text-classification

Languages:

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maximoss commited on Feb 4

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@@ -39,7 +39,7 @@ This dataset can be used for the task of Natural Language Inference (NLI), also
 - `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.
-- `answer`: The answer to the question, with possible values `yes` (0), `unknown` (1), `no` (2), `undef`, or other more detailed answer.
 - `premises_original`: .
 - `premise1`: .
 - `premise1_original`: .
@@ -53,7 +53,7 @@ This dataset can be used for the task of Natural Language Inference (NLI), also
 - `premise5_original`: .
 - `hypothesis_original`: .
 - `question_original`: .
-- `note`: .
 - `topic`: .
 ### Data Splits

 - `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.
+- `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`: .
 - `premise1`: .
 - `premise1_original`: .
 - `premise5_original`: .
 - `hypothesis_original`: .
 - `question_original`: .
+- `note`: Text from the source document intended to explain or justify the answer, or notes added to a number of problems in order to explain issues which arose during translation.
 - `topic`: .
 ### Data Splits