Changes in version 0.0.1                        

  - read_croissant() reads Croissant 1.0 and 1.1 JSON-LD metadata from a
    file, URL, or JSON string into a Croissant object.
  - write_croissant() writes a Croissant object as JSON-LD with the
    standard context of its version.
  - S7 classes Croissant, FileObject, FileSet, RecordSet, Field,
    ParentField, Source, Extract, Transform, Person, Organization, and
    CreativeWork represent Croissant nodes, with the properties that
    'mlcroissant' types; every other property is kept in
    other_properties.
  - croissant_context() returns the standard JSON-LD context of a
    Croissant version.
  - validate_croissant() reports every error and warning in Croissant
    metadata as a CroissantIssues object; is_valid() tests it for
    errors.
  - read_croissant() reports every read problem of a document in one
    error.
  - read_record_set() reads the records of a record set as a data.table,
    tibble, data.frame, or arrow Table, from CSV, TSV, JSON, JSON Lines,
    and Parquet files, local or downloaded, including files in zip and
    tar archives.
  - croissant_from_data() writes a table to a CSV or Parquet file and
    returns Croissant metadata that describes it, with field data types
    from column classes and the file's SHA-256 checksum.
  - read_croissant_hf() reads the Croissant metadata of a Hugging Face
    dataset, and read_croissant() and read_record_set() accept
    hf://datasets/ paths; read_record_set() downloads the dataset's
    Parquet files from the resolved commit and verifies them.
  - hf_download() downloads and verifies one file of a Hugging Face
    dataset.
  - read_record_set() gains n_max, which stops reading files once that
    many records are held, and token, for gated and private Hugging Face
    datasets.