Datasets:
metadata
license: apache-2.0
task_categories:
- text-classification
language:
- en
size_categories:
- 1K<n<10K
pretty_name: 'DeTexD: A Benchmark Dataset for Delicate Text Detection'
dataset_info:
features:
- name: text
dtype: string
- name: annotator_1
dtype: int32
- name: annotator_2
dtype: int32
- name: annotator_3
dtype: int32
- name: label
dtype:
class_label:
names:
'0': negative
'1': positive
splits:
- name: test
num_examples: 1023
Dataset Card for DeTexD: A Benchmark Dataset for Delicate Text Detection
Dataset Description
- Repository: DeTexD repository
- Paper: DeTexD: A Benchmark Dataset for Delicate Text Detection
Dataset Summary
We define delicate text as any text that is emotionally charged or potentially triggering such that engaging with it has the potential to result in harm. This broad term covers a range of sensitive texts that vary across four major dimensions: 1) riskiness, 2) explicitness, 3) topic, and 4) target.
This dataset contains texts with fine-grained individual annotator labels from 0 to 5 (where 0 indicates no risk and 5 indicates high risk) and averaged binary labels. See paper for more details.
Repository: DeTexD repository
Paper: DeTexD: A Benchmark Dataset for Delicate Text Detection
Dataset Structure
Data Instances
{'text': '"He asked me and the club if we could give him a couple of days off just to clear up his mind and he will be back in the group, I suppose, next Monday, back for training and then be a regular part of the whole squad again," Rangnick said.',
'annotator_1': 0,
'annotator_2': 0,
'annotator_3': 0,
'label': 0}
Data Fields
text
: Text to be classifiedannotator_1
: Annotator 1 score (0-5)annotator_2
: Annotator 2 score (0-5)annotator_3
: Annotator 3 score (0-5)label
: Averaged binary score (>=3), either "negative" (0) or positive (1)
Data Splits
test | |
---|---|
Number of examples | 1023 |
Citation Information
TODO