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Dataset · Hugging Face

CohereLabs/fusion-synth-data-s1kx

Offline Synthetic Data (s1K-X) for: Making, not taking, the Best-of-N Content This data contains completions for the s1K-X training split prompts from 5 different teacher models and 2 aggregations: Teachers: We sample one completion from each of the following models at temperature T=0.3. For kimik2, qwen3, and deepseek-v3 we use TogetherAI, for gemma3-27b and command-a we use locally hosted images. gemma3-27b: GEMMA3-27B-IT kimik2: KIMI-K2-INSTRUCT qwen3:… See the full description on the dataset page: https://huggingface.co/datasets/CohereLabs/fusion-synth-data-s1kx.

Author / organizationCohereLabs
License (as declared)mit
Downloads165 (as reported by Hugging Face)
Likes1
Created30 September 2025
Last updated at source2 October 2025
multilingualsynthetic
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  • 16 Oct 2026 Description: Offline Synthetic Data (s1K-X) for: Making, not taking, the Best-of-N Content This data contains completions for the s1K-X training split prompts from 5 different teacher models and 2 aggregations: Teachers: We sample one completion from ea → Offline Synthetic Data (s1K-X) for: Making, not taking, the Best-of-N Content This data contains completions for the s1K-X training split prompts from 5 different teacher models and 2 aggregations: Teachers: We sample one completion from ea

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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 Information may be incomplete or out of date.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.