snap-stanford/stark
STaRK Website | Github | Paper STaRK is a large-scale semi-structure retrieval benchmark on Textual and Relational Knowledge Bases Downstream Task Retrieval systems driven by LLMs are tasked with extracting relevant answers from a knowledge base in response to user queries. Each knowledge base is semi-structured, featuring large-scale relational data among entities and comprehensive textual information for each entity. We have constructed three knowledge bases:… See the full description on the dataset page: https://huggingface.co/datasets/snap-stanford/stark.
| Author / organization | snap-stanford |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 4.3K (as reported by Hugging Face) |
| Likes | 12 |
| Created | 7 June 2024 |
| Last updated at source | 20 October 2024 |
Popularity, last 3 days
4,303 now (+382 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 17 Oct 2026 Description: STaRK Website | Github | Paper STaRK is a large-scale semi-structure retrieval benchmark on Textual and Relational Knowledge Bases Downstream Task Retrieval systems driven by LLMs are tasked with extracting relevant answers from a knowledge → STaRK Website | Github | Paper STaRK is a large-scale semi-structure retrieval benchmark on Textual and Relational Knowledge Bases Downstream Task Retrieval systems driven by LLMs are tasked with extracting relevant answers from a knowledge
Changes detected by Silytics between refreshes of the source.
More from snap-stanford
- snap-stanford/humanual-opinionDataset
- snap-stanford/mindDataset
- snap-stanford/humanual-politicsDataset
- snap-stanford/humanual-newsDataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.