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@@ -14,6 +14,8 @@ Huggingface Datasets is a great library, but it lacks standardization, and datas
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  Each dataset is standardized to either `MultipleChoice`, `Classification`, or `TokenClassification` dataset with identical fields. We do not support generation tasks as they are addressed by [promptsource](https://github.com/bigscience-workshop/promptsource). All implemented preprocessings are in [tasks.py](https://github.com/sileod/tasksource/blob/main/src/tasksource/tasks.py) or [tasks.md](https://github.com/sileod/tasksource/blob/main/tasks.md). A preprocessing is a function that accepts a dataset and returns the standardized dataset. Preprocessing code is concise and human-readable.
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  ### Installation and usage:
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  `pip install tasksource`
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  ```python
 
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  Each dataset is standardized to either `MultipleChoice`, `Classification`, or `TokenClassification` dataset with identical fields. We do not support generation tasks as they are addressed by [promptsource](https://github.com/bigscience-workshop/promptsource). All implemented preprocessings are in [tasks.py](https://github.com/sileod/tasksource/blob/main/src/tasksource/tasks.py) or [tasks.md](https://github.com/sileod/tasksource/blob/main/tasks.md). A preprocessing is a function that accepts a dataset and returns the standardized dataset. Preprocessing code is concise and human-readable.
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+ GitHub: https://github.com/sileod/tasksource
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  ### Installation and usage:
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  `pip install tasksource`
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  ```python