metadata

dataset_info:
  features:
    - name: utterance
      dtype: string
    - name: label
      sequence: int64
  splits:
    - name: train
      num_bytes: 396298199
      num_examples: 55000
  download_size: 165889261
  dataset_size: 396298199
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
task_categories:
  - text-classification
language:
  - en

eurlex

This is a text classification dataset. It is intended for machine learning research and experimentation.

This dataset is obtained via formatting another publicly available data to be compatible with our AutoIntent Library.

Usage

It is intended to be used with our AutoIntent Library:

from autointent import Dataset

eurlex = Dataset.from_datasets("AutoIntent/eurlex")

Source

This dataset is taken from coastalcph/multi_eurlex and formatted with our AutoIntent Library:

from datasets import load_dataset
from autointent import Dataset

eurlex = load_dataset("coastalcph/multi_eurlex", "en", trust_remote_code=True)
def transform(example: dict):
    return {"utterance": example["text"], "label": example["labels"]}

multilabel_eurlex = eurlex["train"].map(transform, remove_columns=eurlex["train"].features.keys())
eurlex_converted = Dataset.from_dict({"train": multilabel_eurlex.to_list()})