Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
License:
BenjaminOcampo
commited on
Commit
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5bdc7d5
1
Parent(s):
2e336fd
Remove encoded description for encoded columns. Add description for augmented data.
Browse files
README.md
CHANGED
@@ -34,11 +34,7 @@ Implicit and Subtle Hate (ISHate) is a Hate Speech benchmark for implicit and su
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- `implicit_layer`: Layer with Explicit HS and Implicit HS labels.
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- `subtlety_layer`: Layer with Non-Subtle and Subtle labels.
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- `implicit_props_layer`: Layer with implicit properties labels for Implicit HS instances.
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- `
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- `implicit_layer_enc`: Layer with Explicit HS and Implicit HS labels as integers 0 and 1, respectively.
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- `subtlety_layer_enc`: Layer with Non-Subtle and Subtle labels, as integers 0 and 1, respectively.
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- `all`: Combination of hateful, implicit, and subtlety layers. Labels are: Non-Hs, Explicit Non-Subtle HS, Implicit Non-Subtle HS, Explicit Subtle HS, and Implicit Subtle HS.
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- `all_enc`: Combination of hateful, implicit, and subtlety layers. Labels are, 0, 1, 2, 3, and 4 for Non-Hs, Explicit Non-Subtle HS, Implicit Non-Subtle HS, Explicit Subtle HS, and Implicit Subtle HS, respectively.
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## How do I cite this work?
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- `implicit_layer`: Layer with Explicit HS and Implicit HS labels.
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- `subtlety_layer`: Layer with Non-Subtle and Subtle labels.
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- `implicit_props_layer`: Layer with implicit properties labels for Implicit HS instances.
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- `aug_method`: The augmentation method used for that message (`orig` for original data).
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## How do I cite this work?
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