Support loading a dataset from SQLite files
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for reference Kaggle has a good number of open source datasets stored in sqlite

Alternatively a tutorial or tool on how to convert from sqlite to parquet would be cool too Hello, could we leverage [`pandas.read_sql`](https://pandas.pydata.org/docs/reference/api/pandas.read_sql.html) for this? 

This would be basically the same as [`CSVBuilder`](https://github.com/huggingface/datasets/blob/7380140accf522a4363bb56c0b77a4190f49bed6/src/datasets/packaged_modules/csv/csv.py#L127)
, but uses `pandas.read_sql(..., chunksize=1)` instead of `pandas.read_csv(..., iterator=True)`

I'm happy to work on this :) 

self-assign
As requested by @julien-c, we could eventually support loading a dataset from SQLite files, like it is the case for JSON/CSV files.
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