[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.
Here is my code snippet;
data = load_dataset("google/WaxalNLP", "ach_asr", split="test")
print(dt["audio"][0])
RuntimeError: Could not load libtorchcodec. Likely causes:
1. FFmpeg is not properly installed in your environment. We support
versions 4, 5, 6, 7, and 8, and we attempt to load libtorchcodec
for each of those versions. Errors for versions not installed on
your system are expected; only the error for your installed FFmpeg
version is relevant. On Windows, ensure you've installed the
"full-shared" version which ships DLLs.
2. The PyTorch version (2.9.0+cpu) is not compatible with
this version of TorchCodec. Refer to the version compatibility
table:
https://github.com/pytorch/torchcodec?tab=readme-ov-file#installing-torchcodec.
3. Another runtime dependency; see exceptions below.
Is anyone else having the same error?
It happened with many other datasets as well.