TIGER-Lab/WebInstruct-CFT
WebInstruct-CFT Dataset This dataset is introduced in our paper Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate. | 🚀Project Page | 📖Paper | 🔗Github | 🤗7B Model | 🤗32B Model | Overview WebInstruct-CFT is a critique-based instruction dataset derived from WebInstruct. Unlike traditional instruction datasets that focus on correct answers, our dataset includes critiques of responses, enabling models to learn through critical… See the full description on the dataset page: https://huggingface.co/datasets/TIGER-Lab/WebInstruct-CFT.
| Author / organization | TIGER-Lab |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 369 (as reported by Hugging Face) |
| Likes | 59 |
| Created | 30 January 2025 |
| Last updated at source | 2 February 2025 |
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369 now (+6 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- mradermacher/Qwen2.5-Math-7B-CFT-i1-GGUFModel · used to train
- mradermacher/Qwen2.5-32B-Instruct-CFT-i1-GGUFModel · used to train
- mradermacher/Qwen2.5-Math-7B-CFT-GGUFModel · used to train
- bartowski/TIGER-Lab_Qwen2.5-32B-Instruct-CFT-GGUFModel · used to train
- mradermacher/Qwen2.5-32B-Instruct-CFT-GGUFModel · used to train
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