# Training data sources and attributions (d3-mini-agentcode, pre-release)

The model weights are released under Apache-2.0. Training data is not redistributed. The sources below are credited as
their cards ask. Our processing: extraction of agent diffs and executed snippets, filtering, and inserting authored inert
examples into some items.

## Agent diffs (benign examples)
| dataset | revision | licence | items |
|---|---|---|---|
| [nvidia/SWE-Zero-openhands-trajectories](https://huggingface.co/datasets/nvidia/SWE-Zero-openhands-trajectories) | `7b3cd106d00f60918e722d33a1d74bc67072a7ea` | CC-BY-4.0 (NVIDIA) | 1,446 |
| [nvidia/SWE-Hero-openhands-trajectories](https://huggingface.co/datasets/nvidia/SWE-Hero-openhands-trajectories) | `150bc119e52c647216fce285fd801f16b6fd745b` | CC-BY-4.0 (NVIDIA) | 279 |
| [nebius/SWE-rebench-openhands-trajectories](https://huggingface.co/datasets/nebius/SWE-rebench-openhands-trajectories) | `35455389ab51bf5e2306bfd436ef72d0f98bf882` | CC-BY-4.0 (Nebius) | 389 |
| [sweagent/iter2-rl-rollouts](https://huggingface.co/datasets/sweagent/iter2-rl-rollouts) | `ec07602618bc22d56e71112fc8e81943fcbd28be` | MIT | 370 |
| [nebius/SWE-agent-trajectories](https://huggingface.co/datasets/nebius/SWE-agent-trajectories) | `68195a1450865274106246d0d0296a1d6807b88e` | CC-BY-4.0 (Nebius) | 16 |

The code in these diffs keeps its own repository's licence. We recorded a permissive licence for 1,725 of the 2,500
items. For the other 775 we didn't look it up.

## Code-mode snippets (benign examples)
| dataset | revision | licence |
|---|---|---|
| [lambda/hermes-agent-reasoning-traces](https://huggingface.co/datasets/lambda/hermes-agent-reasoning-traces) | `b92885e4f0161d4b2536512710e004d4892cac6e` | Apache-2.0 |
| [snorkelai/Tau2-Bench-Verified-Airline-With-Code-Agents](https://huggingface.co/datasets/snorkelai/Tau2-Bench-Verified-Airline-With-Code-Agents) | `23e3afcdd9492e9e6cc240c124be07665a8d211b` | Apache-2.0 (Snorkel AI) |
| [snorkelai/Tau2-Bench-Airline-With-Code-Agents](https://huggingface.co/datasets/snorkelai/Tau2-Bench-Airline-With-Code-Agents) | `81702cbf1e8161c8cfac732578898a73e23813fe` | Apache-2.0 (Snorkel AI) |
| [xingyaoww/code-act](https://huggingface.co/datasets/xingyaoww/code-act) | `afba34367a8609a1d0044eded531548ab71a58cf` | Apache-2.0. CodeAct: Wang et al., *Executable Code Actions Elicit Better LLM Agents*, ICML 2024 |

## Other training data
- **A small set of scrubbed snippets from our own agent sessions** (577), used as benign examples only. Not released.
- **Authored inert examples:** out-of-scope and malicious changes, in-scope controls and task-swap pairs, written by
  DeepSeek Flash into the public items above. Network destinations and secrets are stand-ins.
- **Package-level examples:** public npm/PyPI packages, and malicious samples from the
  [DataDog malicious-software-packages-dataset](https://github.com/DataDog/malicious-software-packages-dataset).
  Package scanning is out of scope for this release.

## Base model
[vllm-sr/d3-mini](https://huggingface.co/vllm-sr/d3-mini) @ `df99bf4ca4418bc6908ee68e9b7479af1f3b8800` (Apache-2.0,
vLLM Semantic Router Team), built on [Qwen/Qwen3.5-4B](https://huggingface.co/Qwen/Qwen3.5-4B) (Apache-2.0).