# IPRE
**Repository Path**: pchen_Lyndon/IPRE
## Basic Information
- **Project Name**: IPRE
- **Description**: IPRE: a Dataset for Inter-Personal Relationship Extraction
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No
## Statistics
- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-02-28
- **Last Updated**: 2020-12-19
## Categories & Tags
**Categories**: Uncategorized
**Tags**: None
## README
# IPRE
IPRE: a Dataset for Inter-Personal Relationship Extraction
## Dataset/Format
|**Files**|**Contents**|
|:------|:------|
|sent_train/dev/test|sentID eh et sentence|
|sent_relation_train/dev/test|sentID relationIDs|
|bag_relation_train/dev/test|bagID eh et sentIDs relationIDs|
The above table shows the format of our data set. Some keywords are explained as follows:
* eh The head entity in the sentence.
* et The tail entity in the sentence.
* sentence A segmented sentence contains the eh and et.
* sentID A unique ID given to an instance, which consists of a ordered entity pair and a sentence.
* bagID A unique ID given to a bag, and all setences in a bag contains the same entity pair.
* relationID A unique ID given to a relation type.
Note that the part represented by the keywords mentioned above is separated by a tab character.
Moreover, *relationIDs* is composed of several *relationID* that separated by a space character, and *sentIDs* is also so.
## Dataset/Files
Each dataset contains three files, in which one file stores the mapping information between *sentID* and *instance*, and the remaining two files store the data in dataset at sentence-level and bag-level respectively.
For example, test set contains ``sent_test.txt``, ``sent_relation_test.txt`` and ``bag_relation_test.txt``.
The mapping information between *sentID* and *instance* in test set is stored in ``sent_test.txt``, and the data in test set at sentence-level and bag-level are stored in ``sent_relation_test.txt`` and ``bag_relation_test.txt`` respectively.
## Reference
If you use the IPRE data, please cite the following paper:
* Haitao Wang, Zhengqiu He, Jin Ma, Wenliang Chen, Min Zhang. 2019. IPRE: a Dataset for Inter-Personal Relationship Extraction. https://arxiv.org/abs/1907.12801