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Update README.md

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  ---
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  pretty_name: FakeNews Master Dataset
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  size_categories:
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- - 100K<n<1M
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  task_categories:
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- - text-classification
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- - text-generation
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  task_ids:
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- - misinformation-classification
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- - explanation-generation
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  tags:
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- - misinformation-detection
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- - fake-news-detection
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- - fact-checking
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- - claim-verification
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- - multimodal-metadata
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- - context-ablation
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- - research
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  license: other
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  language:
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- - en
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  multilinguality:
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- - multilingual
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  ---
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  # FakeNews Master Dataset
@@ -247,4 +245,4 @@ Important outputs:
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  ## Dataset in Use
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- This dataset was used to train the `FakeNews` adapter, which is available on Hugging Face at [JayNightmare/FakeNews](https://huggingface.co/JayNightmare/FakeNews). The adapter was trained on cleaned splits from the master dataset and is intended for research on context-aware misinformation classification.
 
1
  ---
2
  pretty_name: FakeNews Master Dataset
3
  size_categories:
4
+ - 100K<n<1M
5
  task_categories:
6
+ - text-classification
7
+ - text-generation
8
  task_ids:
9
+ - explanation-generation
 
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  tags:
11
+ - fake-news-detection
12
+ - fact-checking
13
+ - claim-verification
14
+ - multimodal-metadata
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+ - context-ablation
16
+ - research
 
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  license: other
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  language:
19
+ - en
20
  multilinguality:
21
+ - multilingual
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  ---
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  # FakeNews Master Dataset
 
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  ## Dataset in Use
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+ This dataset was used to train the `FakeNews` adapter, which is available on Hugging Face at [JayNightmare/FakeNews](https://huggingface.co/JayNightmare/FakeNews). The adapter was trained on cleaned splits from the master dataset and is intended for research on context-aware misinformation classification.