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README.md

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-### Dataset Summary
-
-The data provided is (headline, body, stance) instances, where the stance is one of {unrelated, discuss, agree, disagree}.
-
-**Input**
-* A headline and a body text - either from the same news article or from two different articles.
-
-**Output**
-
-* Classify the stance of the body text relative to the claim made in the headline into one of four categories:
-  * Agrees: The body text agrees with the headline.
-  * Disagrees: The body text disagrees with the headline.
-  * Discusses: The body text discuss the same topic as the headline, but does not take a position
-  * Unrelated: The body text discusses a different topic than the headline
-
-The distribution of Stance classes in the entire dataset is as follows:
-
-|  rows   | unrelated | discuss |   agree   |  disagree  |
-|---------|-----------|---------|-----------|----------- |
-|  49972  |  0.73131  | 0.17828 | 0.0736012 |  0.016809  |
-
-### Source Data
-
-[FNC-1 Official webpage.](http://www.fakenewschallenge.org/)
-
-- annotations_creators: found
-- language_creators: found
-- languages: en-US
-- licenses: apache-2.0
-- multilingualism: monolingual
-- pretty_name: FNC-1
-- size_categories: unknown
-- source_datasets: original
-- task_categories:text-classification
-- task_ids 
-  - multi-class-classification
-  - natural-language-inference
-  - multi-label-classification
-  - intent-classification

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