UniLu/IF_multi_constraints_upto5_SFT
Description This dataset was derived from the allenai/IF_multi_constraints_upto5 constrained instruction-following dataset, adapting it for supervised fine-tuning. Responses were generated with google/gemma-4-31B-it and then filtered to retain only high-quality examples. The final dataset includes only samples with a minimum loose score of 1.0 and a minimum strict score of 0.8 according to the official IFBench evaluator. Maximum response length was limited to 1024 tokens, all… See the full description on the dataset page: https://huggingface.co/datasets/UniLu/IF_multi_constraints_upto5_SFT.
| Author / organization | UniLu |
|---|---|
| License (as declared) | odc-by |
| Downloads | 222 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 27 April 2026 |
| Last updated at source | 2 June 2026 |
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222 now (+33 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- CSULoRA: Closest Safe Update Low-Rank AdaptationPaper · cites
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