RANEPA-ai/SLAVA-OpenData-2800-v1
SLAVA: Benchmark of the Socio-political Landscape And Value Analysis Dataset Description SLAVA is a benchmark designed to evaluate the factual accuracy of large language models (LLMs) specifically within the Russian domain. Large Language Models (LLMs) are increasingly applied across various fields due to their advancing capabilities in numerous natural language processing tasks. However, implementing LLMs in systems where errors can have negative… See the full description on the dataset page: https://huggingface.co/datasets/RANEPA-ai/SLAVA-OpenData-2800-v1.
| Author / organization | RANEPA-ai |
|---|---|
| License (as declared) | mit |
| Downloads | 238 (as reported by Hugging Face) |
| Likes | 8 |
| Created | 22 September 2024 |
| Last updated at source | 31 January 2025 |
Popularity, last 3 days
238 now (+11 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: SLAVA: Benchmark of the Socio-political Landscape And Value Analysis Dataset Description SLAVA is a benchmark designed to evaluate the factual accuracy of large language models (LLMs) specifically within the Russian domain. Large Language M → SLAVA: Benchmark of the Socio-political Landscape And Value Analysis Dataset Description SLAVA is a benchmark designed to evaluate the factual accuracy of large language models (LLMs) specifically within the Russian domain. Large Language M
Changes detected by Silytics between refreshes of the source.
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 Information may be incomplete or out of date.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.