RioLee/ToolPref-Pairwise-30K
ToolPref-Pairwise-30K [Paper] | [Model] | [Benchmark] | [Code] ๐ก Summary This dataset is a part of ToolRM: Towards Agentic Tool-Use Reward Modeling. It comprises 30,000 preference annotations in agentic tool-use scenarios and was used to train the ToolRM model series. ๐ Overview ToolRM is a family of lightweight generative and discriminative reward models tailored for agentic tool-use scenarios. To build these models, we propose aโฆ See the full description on the dataset page: https://huggingface.co/datasets/RioLee/ToolPref-Pairwise-30K.
| Author / organization | RioLee |
|---|---|
| License (as declared) | cc-by-nc-sa-4.0 |
| Downloads | 186 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 30 October 2025 |
| Last updated at source | 14 January 2026 |
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186 now (-3 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- mradermacher/ToolRM-Gen-Qwen3-4B-Thinking-2507-GGUFModel ยท used to train
- mradermacher/ToolRM-Gen-Qwen3-4B-Thinking-2507-i1-GGUFModel ยท used to train
Recent changes
- 16 Oct 2026 Description: ToolPref-Pairwise-30K [Paper] | [Model] | [Benchmark] | [Code] ๐ก Summary This dataset is a part of ToolRM: Towards Agentic Tool-Use Reward Modeling. It comprises 30,000 preference annotations in agentic tool-use scenarios and was used to t โ ToolPref-Pairwise-30K [Paper] | [Model] | [Benchmark] | [Code] ๐ก Summary This dataset is a part of ToolRM: Towards Agentic Tool-Use Reward Modeling. It comprises 30,000 preference annotations in agentic tool-use scenarios and was used to t
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