multilinguality:monolingual language:en license:unknown region:us
The IEPA benchmark PPI corpus is designed for relation extraction. It was created from 303 PubMed abstracts, each of which contains a specific pair of co-occurring chemicals.
@ARTICLE{ding2001mining,
  title    = "Mining {MEDLINE}: abstracts, sentences, or phrases?",
  author   = "Ding, J and Berleant, D and Nettleton, D and Wurtele, E",
  journal  = "Pac Symp Biocomput",
  pages    = "326--337",
  year     =  2002,
  address  = "United States",
  language = "en"
}

---
language: 
- en
bigbio_language: 
- English
license: unknown
multilinguality: monolingual
bigbio_license_shortname: UNKNOWN
pretty_name: IEPA
homepage: http://psb.stanford.edu/psb-online/proceedings/psb02/abstracts/p326.html
bigbio_pubmed: True
bigbio_public: True
bigbio_tasks: 
- RELATION_EXTRACTION
---


# Dataset Card for IEPA

## Dataset Description

- **Homepage:** http://psb.stanford.edu/psb-online/proceedings/psb02/abstracts/p326.html
- **Pubmed:** True
- **Public:** True
- **Tasks:** RE


The IEPA benchmark PPI corpus is designed for relation extraction. It was created from 303 PubMed abstracts, each of which contains a specific pair of co-occurring chemicals.



## Citation Information

```
@ARTICLE{ding2001mining,
  title    = "Mining {MEDLINE}: abstracts, sentences, or phrases?",
  author   = "Ding, J and Berleant, D and Nettleton, D and Wurtele, E",
  journal  = "Pac Symp Biocomput",
  pages    = "326--337",
  year     =  2002,
  address  = "United States",
  language = "en"
}

```
