Improve `Create a dataset` tutorial 
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I can work on this. The link to the tutorial seems to be broken though @polinaeterna. 
2023-06-22T21:10:53Z
https://github.com/huggingface/datasets/issues/5805#issuecomment-1603321065
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@isunitha98selvan would be great, thank you! which link are you talking about? I think it should work: https://huggingface.co/docs/datasets/create_dataset
2023-06-23T14:58:43Z
https://github.com/huggingface/datasets/issues/5805#issuecomment-1604404361
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CONTRIBUTOR
Hey I don't mind working on this issue. From my understanding, we want to let the reader know that they can build datasets from `csv`, `json/jsonl`, `parquet` and `txt` files in the **folder-based builders** section and include a link to the full guide. Then in the **from local files** section, we just want to list the methods from in-memory data section such as `.from_dict()`. 
2024-06-13T21:44:25Z
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Hey @polinaeterna, I have a pull request for this issue. Can you review and see if it needs any changes?
2024-07-26T21:16:12Z
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Our [tutorial on how to create a dataset](https://huggingface.co/docs/datasets/create_dataset) is a bit misleading. 
1. In **Folder-based builders** section it says that we have two folder-based builders as standard builders, but we also have similar builders (that can be created from directory with data of required format) for `csv`, `json/jsonl`, `parquet` and `txt` files. We have info about these loaders in separate [guide for loading](https://huggingface.co/docs/datasets/loading#local-and-remote-files) but it's worth briefly mentioning them in the beginning tutorial because they are more common and for consistency. Would be helpful to add the link to the full guide.
2. **From local files** section lists methods for creating a dataset from in-memory data which are also described in [loading guide](https://huggingface.co/docs/datasets/loading#inmemory-data).  

Maybe we should actually rethink and restructure this tutorial somehow.