HF_load_dataset: Load_dataset

In fastai: Interface to 'fastai'

Load_dataset

Description

Load a dataset

Usage

HF_load_dataset(
  path,
  name = NULL,
  data_dir = NULL,
  data_files = NULL,
  split = NULL,
  cache_dir = NULL,
  features = NULL,
  download_config = NULL,
  download_mode = NULL,
  ignore_verifications = FALSE,
  save_infos = FALSE,
  script_version = NULL,
  ...
)

Arguments

path	path
name	name
data_dir	dataset dir
data_files	dataset files
split	split
cache_dir	cache directory
features	features
download_config	download configuration
download_mode	download mode
ignore_verifications	ignore verifications or not
save_infos	save information or not
script_version	script version
...	additional arguments

Details

This method does the following under the hood: 1. Download and import in the library the dataset loading script from “path“ if it's not already cached inside the library. Processing scripts are small python scripts that define the citation, info and format of the dataset, contain the URL to the original data files and the code to load examples from the original data files. You can find some of the scripts here: https://github.com/huggingface/datasets/datasets and easily upload yours to share them using the CLI “datasets-cli“. 2. Run the dataset loading script which will: * Download the dataset file from the original URL (see the script) if it's not already downloaded and cached. * Process and cache the dataset in typed Arrow tables for caching. Arrow table are arbitrarily long, typed tables which can store nested objects and be mapped to numpy/pandas/python standard types. They can be directly access from drive, loaded in RAM or even streamed over the web. 3. Return a dataset build from the requested splits in “split“ (default: all).

Value

data frame

fastai documentation built on March 31, 2023, 11:41 p.m.