FredZhang7
commited on
Commit
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a453214
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Parent(s):
e6698a1
applied lang detection
Browse files
README.md
CHANGED
@@ -73,7 +73,7 @@ The preprocessed training data alone consists of 2,880,230 rows of comments, twe
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| [multilingual-train-deduplicated.csv](./multilingual-train-deduplicated.csv) | 416,457 | 2,463,773 | 2,880,230 |
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| [multilingual-validation.csv](./multilingual-validation.csv) | 1,230 | 6,770 | 8,000 |
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| [multilingual-test.csv](./multilingual-test.csv) | 14,410 | 49,402 | 63,812 |
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Each CSV file has
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Supported languages:
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- Afrikaans
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@@ -151,5 +151,6 @@ Known datasets:
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Some limitations include:
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- All labels were rounded to the nearest integer. If a text was classified as 46%-54% toxic, the text itself might not be noticeably toxic or neutral.
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- There were disagreements among moderators on some labels, due to ambiguity and lack of context.
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Have fun modelling!
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| [multilingual-train-deduplicated.csv](./multilingual-train-deduplicated.csv) | 416,457 | 2,463,773 | 2,880,230 |
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| [multilingual-validation.csv](./multilingual-validation.csv) | 1,230 | 6,770 | 8,000 |
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| [multilingual-test.csv](./multilingual-test.csv) | 14,410 | 49,402 | 63,812 |
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Each CSV file has three columns: `text`, `is_toxic`, and `lang`.
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Supported languages:
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- Afrikaans
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Some limitations include:
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- All labels were rounded to the nearest integer. If a text was classified as 46%-54% toxic, the text itself might not be noticeably toxic or neutral.
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- There were disagreements among moderators on some labels, due to ambiguity and lack of context.
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- When there're only URL(s), emojis, or anything that's unrecognizable as natural language in the "text" column, the corresponding "lang" is "unkown".
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Have fun modelling!
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