Dataset Card for "gids"

Dataset Summary

The Google-IISc Distant Supervision (GIDS) is a new dataset for distantly-supervised relation extraction. GIDS is seeded from the human-judged Google relation extraction corpus. See the paper for full details: Improving Distantly Supervised Relation Extraction using Word and Entity Based Attention

Note:

• There is a formatted version that you can load with datasets.load_dataset('gids', name='gids_formatted'). This version is tokenized with spaCy, removes the underscores in the entities and provides entity offsets.

Supported Tasks and Leaderboards

• Tasks: Relation Classification
• Leaderboards: More Information Needed

Languages

The language in the dataset is English.

Dataset Structure

Data Instances

gids

• Size of downloaded dataset files: 8.94 MB
• Size of the generated dataset: 8.5 MB An example of 'train' looks as follows:

{
  "sentence": "War as appropriate. Private Alfred James_Smurthwaite Sample. 26614. 2nd Battalion Yorkshire Regiment. Son of Edward James Sample, of North_Ormesby , Yorks. Died 2 April 1917. Aged 29. Born Ormesby, Enlisted Middlesbrough. Buried BUCQUOY ROAD CEMETERY, FICHEUX. Not listed on the Middlesbrough War Memorial Private Frederick Scott. 46449. 4th Battalion Yorkshire Regiment. Son of William and Maria Scott, of 25, Aspinall St., Heywood, Lancs. Born at West Hartlepool. Died 27 May 1918. Aged 24.", 
  "subj_id": "/m/02qt0sv", 
  "obj_id": "/m/0fnhl9", 
  "subj_text": "James_Smurthwaite", 
  "obj_text": "North_Ormesby", 
  "relation": 4
}

gids_formatted

• Size of downloaded dataset files: 8.94 MB
• Size of the generated dataset: 11.82 MB An example of 'train' looks as follows:

{
  "token": ["announced", "he", "had", "closed", "shop", ".", "Mary", "D.", "Crisp", "Coyle", "opened", "in", "1951", ".", "Stoffey", ",", "a", "Maricopa", "County", "/", "Phoenix", "city", "resident", "and", "longtime", "customer", ",", "bought", "the", "business", "in", "2011", ",", "when", "then", "owners", "were", "facing", "closure", ".", "He", "renovated", "the", "diner", "is", "interior", ",", "increased", "training", "for", "staff", "and", "expanded", "the", "menu", "."], 
  "subj_start": 6, 
  "subj_end": 9, 
  "obj_start": 17, 
  "obj_end": 22, 
  "relation": 4
}

Data Fields

The data fields are the same among all splits.

gids

• sentence: the sentence, a string feature.
• subj_id: the id of the relation subject mention, a string feature.
• obj_id: the id of the relation object mention, a string feature.
• subj_text: the text of the relation subject mention, a string feature.
• obj_text: the text of the relation object mention, a string feature.
• relation: the relation label of this instance, an int classification label.

{"NA": 0, "/people/person/education./education/education/institution": 1, "/people/person/education./education/education/degree": 2, "/people/person/place_of_birth": 3, "/people/deceased_person/place_of_death": 4}

gids_formatted

• token: the list of tokens of this sentence, obtained with spaCy, a list of string features.
• subj_start: the 0-based index of the start token of the relation subject mention, an ìnt feature.
• subj_end: the 0-based index of the end token of the relation subject mention, exclusive, an ìnt feature.
• obj_start: the 0-based index of the start token of the relation object mention, an ìnt feature.
• obj_end: the 0-based index of the end token of the relation object mention, exclusive, an ìnt feature.
• relation: the relation label of this instance, an int classification label.

{"NA": 0, "/people/person/education./education/education/institution": 1, "/people/person/education./education/education/degree": 2, "/people/person/place_of_birth": 3, "/people/deceased_person/place_of_death": 4}

Data Splits

	Train	Dev	Test
GIDS	11297	1864	5663

Dataset Creation

Curation Rationale

More Information Needed

Source Data

Initial Data Collection and Normalization

More Information Needed

Who are the source language producers?

More Information Needed

Annotations

Annotation process

More Information Needed

Who are the annotators?

More Information Needed

Personal and Sensitive Information

More Information Needed

Considerations for Using the Data

Social Impact of Dataset

More Information Needed

Discussion of Biases

More Information Needed

Other Known Limitations

More Information Needed

Additional Information

Dataset Curators

More Information Needed

Licensing Information

More Information Needed

Citation Information

@article{DBLP:journals/corr/abs-1804-06987,
  author    = {Sharmistha Jat and
               Siddhesh Khandelwal and
               Partha P. Talukdar},
  title     = {Improving Distantly Supervised Relation Extraction using Word and
               Entity Based Attention},
  journal   = {CoRR},
  volume    = {abs/1804.06987},
  year      = {2018},
  url       = {http://arxiv.org/abs/1804.06987},
  eprinttype = {arXiv},
  eprint    = {1804.06987},
  timestamp = {Fri, 15 Nov 2019 17:16:02 +0100},
  biburl    = {https://dblp.org/rec/journals/corr/abs-1804-06987.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

Contributions

Thanks to @phucdev for adding this dataset.