Welcome to the repository of datasets tailored for biographical relation extraction, crafted utilizing Guided Distant Supervision (GDS). Explore datasets available in both English and German, which facilitate extensive research in relation extraction from biographical data. Below you can find an overview of the datasets currently available, as well as the relations that are in each set. Please note there are different sets for each language, which denote how they were compiled. In short, normal followed GDS, coref added coreference resolution and skip skipped certain parts of the text. For a more extensive explanation how this worked, please refer to [1].
Detailed insights into the English dataset can be found in [1].
| Relation | Normal Set | Coref Set | Skip Set |
|---|---|---|---|
| Birthdate | 51,524 | 47,977 | 45,211 |
| Birthplace | 50,226 | 46,551 | 17,537 |
| Deathdate | 17,197 | 14,500 | 5,925 |
| Deathplace | 18,944 | 20,430 | 10,790 |
| Occupation | 18,114 | 18,111 | 8,716 |
| Parent | 6,352 | 10,291 | 5,596 |
| Educated | 5,639 | 9,415 | 3,858 |
| Child | 2,209 | 4,053 | 2,123 |
| Sibling | 2,083 | 3,601 | 1,997 |
| Other | 173,969 | 175,916 | 103,248 |
| Total | 346,257 | 350,845 | 205,001 |
A paper discussing the German dataset is forthcoming.
| Relation | Normal Set | Skip Set |
|---|---|---|
| Birthdate | 8,777 | 770 |
| Birthplace | 12,833 | 5,816 |
| Child | 718 | 701 |
| Deathdate | 922 | 454 |
| Deathplace | 4,059 | 3,263 |
| Educated | 610 | 607 |
| Occupation | 10,861 | 4,836 |
| Other | 39,782 | 20,469 |
| Parent | 3,704 | 3,565 |
| Sibling | 917 | 890 |
| Total | 83,183 | 41,380 |
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Feel free to contribute or provide feedback to enhance the datasets. Guidelines on how to contribute and provide feedback can be detailed in this section.
[1] Alistair Plum, Tharindu Ranasinghe, Spencer Jones, Constantin Orasan, Ruslan Mitkov (2022). Biographical: A Semi-Supervised Relation Extraction Dataset. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval.