Update README.md

README.md

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 LIAR is a dataset for fake news detection with 12.8K human labeled short statements from politifact.com's API, and each statement is evaluated by a politifact.com editor for its truthfulness. The distribution of labels in the LIAR dataset is relatively well-balanced: except for 1,050 pants-fire cases, the instances for all other labels range from 2,063 to 2,638. In each case, the labeler provides a lengthy analysis report to ground each judgment.
 
-### Supported Tasks and Leaderboards
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-### Languages
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-English.
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-## Dataset Structure
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-### Data Instances
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-### Data Fields
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-### Data Splits
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-## Dataset Creation
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-### Curation Rationale
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-### Source Data
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-#### Initial Data Collection and Normalization
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-#### Who are the source language producers?
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-### Annotations
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-#### Annotation process
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-#### Who are the annotators?
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-### Personal and Sensitive Information
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-## Considerations for Using the Data
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-### Social Impact of Dataset
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-### Discussion of Biases
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-### Other Known Limitations
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-## Additional Information
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-### Dataset Curators
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-### Licensing Information
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-### Citation Information
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 ### Contributions