---
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
  - split: dev
    path: data/dev-*
dataset_info:
  features:
  - name: head
    dtype: string
  - name: tail
    dtype: string
  - name: sentence
    dtype: string
  - name: relation
    dtype: string
  splits:
  - name: train
    num_bytes: 43508118
    num_examples: 281259
  - name: test
    num_bytes: 11583338
    num_examples: 76826
  - name: dev
    num_bytes: 5792878
    num_examples: 37637
  download_size: 30002846
  dataset_size: 60884334
language:
- zh
---
# Dataset Card for "IPRE"

Unofficial version of [IPRE: a Dataset for Inter-Personal Relationship Extraction](https://arxiv.org/abs/1907.12801).
All data has been downloaded from the official repository [https://github.com/SUDA-HLT/IPRE/](https://github.com/SUDA-HLT/IPRE/).

## IPRE: a Dataset for Inter-Personal Relationship Extraction
Inter-personal relationship is the basis of human society. In order to automatically identify the relations between persons from texts, we need annotated data for training systems. However, there is a lack of a massive amount of such data so far. To address this situation, we introduce IPRE, a new dataset for inter-personal relationship extraction which aims to facilitate information extraction and knowledge graph construction research. In total, IPRE has over 41,000 labeled sentences for 34 types of relations, including about 9,000 sentences annotated by workers. Our data is the first dataset for inter-personal relationship extraction. Additionally, we define three evaluation tasks based on IPRE and provide the baseline systems for further comparison in future work.