Datasets:
Tasks:
Text Classification
Formats:
csv
Sub-tasks:
natural-language-inference
Languages:
Spanish
Size:
1K - 10K
ArXiv:
License:
Update README.md
Browse files
README.md
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license: cc-by-4.0
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---
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---
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license: cc-by-4.0
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---
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# The INFERES dataset
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train size = 6444
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test size = 1612
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## Columns
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ID : the unique ID of the instance
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Premise
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Hypothesis
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Label: cnt, ent, neutral
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Topic: 1 (Picasso), 2 (Columbus), 3 (Videogames), 4 (Olympic games), 5 (EU), 6 (USSR)
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Anno: ID of the annotators (in cases of undergrads or crowd - the ID of the group)
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Anno_Type: strategy used to generate the data: Generate, Rewrite, Crowd, and Automated
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The train/test split is stratified by a key that combines Label + Anno + Anno_type
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### Disclaimer
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The results in the paper are done via k-fold cross validation and average across multiple runs. Experiments with this split might differ slightly.
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### License
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cc-by-4.0
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