#
File formats

Polars supports the following file formats when reading from Hugging Face:

- Parquet
- CSV
- JSON Lines

The examples below show the default settings only. Use the links above to view all available parameters in the API reference guide.

#
Parquet

Parquet is the preferred file format as it stores the schema with type information within the file. This avoids any ambiguity with parsing and speeds up reading. To read a Parquet file in Polars, use the `read_parquet` function:

    pl.read_parquet("hf://datasets/roneneldan/TinyStories/data/train-00000-of-00004-2d5a1467fff1081b.parquet")

#
CSV

The `read_csv` function can be used to read a CSV file:

    pl.read_csv("hf://datasets/lhoestq/demo1/data/train.csv")

#
JSON

Polars supports reading new line delimited JSON — also known as json lines — with the `read_ndjson` function:

    pl.read_ndjson("hf://datasets/proj-persona/PersonaHub/persona.jsonl")

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