[bot] Conversion to Parquet
The parquet-converter bot has created a version of this dataset in the Parquet format in the refs/convert/parquet branch.
What is Parquet?
Apache Parquet is a popular columnar storage format known for:
- reduced memory requirement,
- fast data retrieval and filtering,
- efficient storage.
This is what powers the dataset viewer on each dataset page and every dataset on the Hub can be accessed with the same code (you can use HF Datasets, ClickHouse, DuckDB, Pandas, PostgreSQL, or Polars, up to you).
You can learn more about the advantages associated with Parquet in the documentation.
How to access the Parquet version of the dataset?
You can access the Parquet version of the dataset by following this link: refs/convert/parquet
What if my dataset was already in Parquet?
When the dataset is already in Parquet format, the data are not converted and the files in refs/convert/parquet are links to the original files.
What should I do?
You don't need to do anything. The Parquet version of the dataset is available for you to use. Refer to the documentation for examples and code snippets on how to query the Parquet files with ClickHouse, DuckDB, Pandas or Polars.
If you have any questions or concerns, feel free to ask in the discussion below. You can also close the discussion if you don't have any questions.
Hi @fayezzouari 👋
I've created a cleaned and improved version of your beagleboard-docs dataset. Here’s what I’ve done:
Removed unnecessary files and large intermediary data.
Cleaned and restructured the main JSON file.
Added required tags based upon beagleboard.org
Updated dataset.py to properly load and display the dataset via the Hugging Face viewer.
Ensured compatibility with datasets library loading.
You can check out the improved dataset here:
🔗 https://huggingface.co/datasets/SanchitKS12/beagleboard-docs
I’d be happy if you consider merging these improvements into your original repository or linking to it for others who may benefit. Let me know if you'd like me to contribute in any specific way.
