Datasets:

sofia-che
/

Ru-Vague-Lex

dataset_info:
  features:
    - name: Category_person
      dtype: int64
    - name: Document
      dtype: string
    - name: Sentence
      dtype: string
    - name: Vague expression
      dtype: string
    - name: Category
      dtype: string
    - name: Stemmed expression
      dtype: string
  splits:
    - name: train
      num_bytes: 2387621
      num_examples: 6161
  download_size: 706413
  dataset_size: 2387621
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
task_categories:
  - feature-extraction
  - text-classification
language:
  - ru
tags:
  - legal
pretty_name: RuVTE
size_categories:
  - 1K<n<10K

This dataset contains manually classified vague terms and expressions according to 5 categories of linguistic vagueness:

ADJ - adjectival vagueness (gradable adjectives);

ADJ (ADV) - adjectival vagueness (gradable adverbs);

MOD - degree terms;

QUANT - vague quantifiers;

TIME - vague time expressions.