Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
csv
Languages:
Portuguese
Size:
10K - 100K
License:
ju-resplande
commited on
Commit
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2cc040d
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Parent(s):
3ff7ac1
Update README.md
Browse files
README.md
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@@ -33,81 +33,6 @@ In this work, we performed an extensive data collection of such instances from t
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Particularly, this paper offers the research community a novel dataset containing fact-checks from various trustworthy sources regarding a wide range of topics.
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In total, the resulting collection encompasses 11647 fact-check instances collected across 6 different agencies that can be used for several studies in the contexts of identifying and combating misinformation on digital platforms in Brazil.
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### Supported Tasks and Leaderboards
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[More Information Needed]
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### Languages
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The dataset is in Portuguese.
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## Dataset Structure
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### Data Instances
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[More Information Needed]
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### Data Fields
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[More Information Needed]
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### Data Splits
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[More Information Needed]
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## Dataset Creation
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### Curation Rationale
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[More Information Needed]
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### Source Data
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#### Initial Data Collection and Normalization
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[More Information Needed]
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#### Who are the source language producers?
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[More Information Needed]
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### Annotations
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#### Annotation process
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[More Information Needed]
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#### Who are the annotators?
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[More Information Needed]
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### Personal and Sensitive Information
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[More Information Needed]
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## Considerations for Using the Data
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### Social Impact of Dataset
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[More Information Needed]
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### Discussion of Biases
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[More Information Needed]
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### Other Known Limitations
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[More Information Needed]
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## Additional Information
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### Dataset Curators
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[More Information Needed]
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### Licensing Information
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[More Information Needed]
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### Citation Information
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Particularly, this paper offers the research community a novel dataset containing fact-checks from various trustworthy sources regarding a wide range of topics.
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In total, the resulting collection encompasses 11647 fact-check instances collected across 6 different agencies that can be used for several studies in the contexts of identifying and combating misinformation on digital platforms in Brazil.
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### Citation Information
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