metadata
dataset_info:
features:
- name: id
dtype: string
- name: text
dtype: string
- name: definition_label
dtype: int64
- name: source_file
dtype: string
- name: tokens
dtype: string
- name: iob_tags
dtype: string
- name: spans
dtype: string
- name: relations
dtype: string
- name: text_rus
dtype: string
- name: spans_rus
dtype: string
- name: relations_rus
dtype: string
- name: type
dtype: string
- name: is_gold
dtype: float64
- name: tags
dtype: string
- name: tokens_rus
dtype: string
- name: iob_tags_rus
dtype: string
- name: ner_tags
dtype: string
splits:
- name: train
num_bytes: 12400016
num_examples: 6231
- name: val
num_bytes: 799399
num_examples: 418
- name: test
num_bytes: 1118944
num_examples: 651
download_size: 4397440
dataset_size: 14318359
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: val
path: data/val-*
- split: test
path: data/test-*
license: mit
task_categories:
- text-classification
- token-classification
language:
- en
- ru
size_categories:
- 10K<n<100K
Description
The dataset for definition detection task and term and definition recognition task. This is a mix of two datasets: RuDEFT and WCL.
See folowing dataset for their description.
Citation
@article{Popov2025TransferringNL, title={Transferring Natural Language Datasets Between Languages Using Large Language Models for Modern Decision Support and Sci-Tech Analytical Systems}, author={Dmitrii Popov and Egor Terentev and Danil Serenko and Ilya Sochenkov and Igor Buyanov}, journal={Big Data and Cognitive Computing}, year={2025}, url={https://api.semanticscholar.org/CorpusID:278179500} }