|
|
--- |
|
|
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. |
