releases.shpreview
Hugging Face/Datasets/2.19.0

2.19.0

April 19, 2024DatasetsView original ↗
$npx -y @buildinternet/releases show rel_YlBclnx4w71-V1QxIt-CS

Dataset Features

  • Add Polars compatibility by @psmyth94 in https://github.com/huggingface/datasets/pull/6531
    • convert to a Polars dataframe using .to_polars(); 
      import polars as pl
from datasets import load_dataset
ds = load_dataset("DIBT/10k_prompts_ranked", split="train")
ds.to_polars() \
    .groupby("topic") \
    .agg(pl.len(), pl.first()) \
    .sort("len", descending=True)
    • Use Polars formatting to return Polars objects when accessing a dataset: 
      ds = ds.with_format("polars")
ds[:10].group_by("kind").len()
  • Add fsspec support for to_json, to_csv, and to_parquet by @alvarobartt in https://github.com/huggingface/datasets/pull/6096
    • Save on HF in any file format: 
      ds.to_json("hf://datasets/username/my_json_dataset/data.jsonl")
ds.to_csv("hf://datasets/username/my_csv_dataset/data.csv")
ds.to_parquet("hf://datasets/username/my_parquet_dataset/data.parquet")
  • Add mode parameter to Image feature by @mariosasko in https://github.com/huggingface/datasets/pull/6735
    • Set images to be read in a certain mode like "RGB" 
      dataset = dataset.cast_column("image", Image(mode="RGB"))
  • Add CLI function to convert script-dataset to Parquet by @albertvillanova in https://github.com/huggingface/datasets/pull/6795
    • run command to open a PR in script-based dataset to convert it to Parquet: 
      datasets-cli convert_to_parquet <dataset_id>
  • Add Dataset.take and Dataset.skip by @lhoestq in https://github.com/huggingface/datasets/pull/6813
    • same as IterableDataset.take and IterableDataset.skip 
      ds = ds.take(10)  # take only the first 10 examples

General improvements and bug fixes

New Contributors

Full Changelog: https://github.com/huggingface/datasets/compare/2.18.0...2.19.0

Fetched April 7, 2026