christopher librarian-bot commited on
Commit
df0496f
1 Parent(s): b9d34a3

Librarian Bot: Add language metadata for dataset (#1)

Browse files

- Librarian Bot: Add language metadata for dataset (3366bffa42cb897e4a4a87ee5b9d33cbe8eaf309)


Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>

Files changed (1) hide show
  1. README.md +4 -0
README.md CHANGED
@@ -1,3 +1,7 @@
 
 
 
 
1
  ## The TOMT-KIS-TRIPLETS (tip-of-my-tongue-known-item-search triplets) Dataset
2
 
3
  **TOMT-KIS-TRIPLETS** is a refined subset of the broader [TOMT-KIS](https://huggingface.co/datasets/webis/tip-of-my-tongue-known-item-search/) dataset, curated for advanced applications. Given that Wikipedia and IMDb are besides YouTube the most commonly appearing domains in links on the answer path (also see in TOMT-KIS the column `links_on_answer_path`), we focus specifically on these sources for higher relevancy and usability. By leveraging a Wikipedia dump and [SPARQL Wikipedia Query Service](https://query.wikidata.org), our objective is to develop a labeled dataset that contains direct links to relevant Wikipedia articles, making it ideal for supervised learning tasks.
 
1
+ ---
2
+ language:
3
+ - en
4
+ ---
5
  ## The TOMT-KIS-TRIPLETS (tip-of-my-tongue-known-item-search triplets) Dataset
6
 
7
  **TOMT-KIS-TRIPLETS** is a refined subset of the broader [TOMT-KIS](https://huggingface.co/datasets/webis/tip-of-my-tongue-known-item-search/) dataset, curated for advanced applications. Given that Wikipedia and IMDb are besides YouTube the most commonly appearing domains in links on the answer path (also see in TOMT-KIS the column `links_on_answer_path`), we focus specifically on these sources for higher relevancy and usability. By leveraging a Wikipedia dump and [SPARQL Wikipedia Query Service](https://query.wikidata.org), our objective is to develop a labeled dataset that contains direct links to relevant Wikipedia articles, making it ideal for supervised learning tasks.