KRLabsOrg/tool-output-extraction-swebench
Tool Output Extraction Dataset Paper | Code Training data for squeez — a small model that prunes verbose coding agent tool output to only the evidence the agent needs next. Task Task-conditioned context pruning of a single tool observation for coding agents. Given a focused extraction query and one verbose tool output, return the smallest verbatim evidence block(s) the agent should read next. The model copies lines from the tool output — it never rewrites… See the full description on the dataset page: https://huggingface.co/datasets/KRLabsOrg/tool-output-extraction-swebench.
| Author / organization | KRLabsOrg |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 779 (as reported by Hugging Face) |
| Likes | 5 |
| Created | 7 March 2026 |
| Last updated at source | 12 April 2026 |
Connected in the knowledge graph
- mradermacher/squeez-2b-GGUFModel · used to train
- mradermacher/squeez-2b-i1-GGUFModel · used to train
- vllm-sr/Vela-2.0-9BModel · used to train
- vllm-sr/Vela-2.0-4BModel · used to train
- vllm-sr/Vela-2.0-0.8BModel · used to train
Recent changes
- 16 Oct 2026 Description: Tool Output Extraction Dataset Paper | Code Training data for squeez — a small model that prunes verbose coding agent tool output to only the evidence the agent needs next. Task Task-conditioned context pruning of a single tool observation → Tool Output Extraction Dataset Paper | Code Training data for squeez — a small model that prunes verbose coding agent tool output to only the evidence the agent needs next. Task Task-conditioned context pruning of a single tool observation
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