Add task categories and prominent links to paper and code
#1
by nielsr HF Staff - opened
README.md CHANGED
| @@ -1,11 +1,18 @@ | |
| 1 | --- |
| 2 | - license: apache-2.0 |
| 3 | language: |
| 4 | - en |
| | |
| 5 | size_categories: |
| 6 | - 1M<n<10M |
| | |
| | |
| | |
| 7 | --- |
| 8 | |
| | |
| | |
| | |
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| 9 | 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. |
| 10 | |
| 11 | ## Data Format |
| | |
| 1 | --- |
| | |
| 2 | language: |
| 3 | - en |
| 4 | + license: apache-2.0 |
| 5 | size_categories: |
| 6 | - 1M<n<10M |
| 7 | + task_categories: |
| 8 | + - text-retrieval |
| 9 | + - feature-extraction |
| 10 | --- |
| 11 | |
| 12 | + # F2LLM Dataset |
| 13 | + |
| 14 | + [Paper](https://huggingface.co/papers/2510.02294) | [Code](https://github.com/codefuse-ai/CodeFuse-Embeddings/tree/main/F2LLM) |
| 15 | + |
| 16 | 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. |
| 17 | |
| 18 | ## Data Format |