FredZhang7
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Update README.md
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README.md
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About 11 months ago, I downloaded and preprocessed 2.7M rows of text
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All I know is that I looked everywhere: HuggingFace, research papers, GitHub, Kaggle, and Google search. I even fetched 20K+ tweets using the Twitter API.
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Today (6/28/2023) I came across three newer HuggingFace datasets, so I added them to this dataset.
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About 11 months ago, I downloaded and preprocessed 2.7M rows of text data, but completely forgot the original source of these datasets...
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All I know is that I looked everywhere: HuggingFace, research papers, GitHub, Kaggle, and Google search. I even fetched 20K+ tweets using the Twitter API.
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Today (6/28/2023) I came across three newer HuggingFace datasets, so I added them to this dataset.
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The deduplicated training data alone consists of 2,880,230 rows of comments and messages. Among these rows, 416,457 are classified as toxic, while the remaining 2,463,773 are considered neutral. Below is a table to illustrate the data composition:
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| | Toxic | Neutral | Total |
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|-------|----------|----------|----------|
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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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