codefuse-ai/F2LLM
F2LLM Dataset Paper | Code The F2LLM dataset includes 6 million query-document-negative tuples curated solely from open-source, non-synthetic data, serving as a strong, budget-friendly baseline for training embedding models. Data Format Data are compiled into three categories: retrieval, classification, and clustering. Each retrieval and clustering data sample is accompanied by 24 hard negatives. Each classification data sample is accompanied by 1 hard negative.… See the full description on the dataset page: https://huggingface.co/datasets/codefuse-ai/F2LLM.
| Author / organization | codefuse-ai |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 1.3K (as reported by Hugging Face) |
| Likes | 10 |
| Created | 22 September 2025 |
| Last updated at source | 6 October 2025 |
Recent changes
- 16 Oct 2026 Description: F2LLM Dataset Paper | Code The F2LLM dataset includes 6 million query-document-negative tuples curated solely from open-source, non-synthetic data, serving as a strong, budget-friendly baseline for training embedding models. Data Format Dat → F2LLM Dataset Paper | Code The F2LLM dataset includes 6 million query-document-negative tuples curated solely from open-source, non-synthetic data, serving as a strong, budget-friendly baseline for training embedding models. Data Format Dat
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