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README.md
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---
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- name: output
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dtype: string
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splits:
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- name: train
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num_bytes: 24
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num_examples: 1
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download_size: 1607
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dataset_size: 24
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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library_name: datasets
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tags:
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- agenttune
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- cli
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- cpu
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- dataset
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---
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<div align="center">
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<table border="0" cellspacing="0" cellpadding="0" style="border: none; border-collapse: collapse;">
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<tr>
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<td align="center" style="border: none; vertical-align: middle;">
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<a href="https://lexsi.ai/"><img src="https://huggingface.co/datasets/ram-lexsi/agenttune-testrun-cli/resolve/main/lexsi_logo.png" alt="Lexsi Labs" style="height: 60px; border-radius: 12px;"/></a>
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</td>
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<td align="center" style="border: none; vertical-align: middle;">
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<a href="https://github.com/Lexsi-Labs/AgentTune_mirror"><img src="https://huggingface.co/datasets/ram-lexsi/agenttune-testrun-cli/resolve/main/agenttune_banner.png" alt="AgentTune" style="height: 60px;"/></a>
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</td>
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</tr>
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</table>
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</div>
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# agenttune-testrun-cli
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Built using [AgentTune](https://github.com/Lexsi-Labs/AgentTune_mirror) — agentic workflows, then train / evaluate / distill / self-heal through one trajectory schema.
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|---|---|
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| **Finetuned from** | — |
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| **Algorithm** | cli |
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| **Backend** | cpu |
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| **Artifact** | dataset |
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| **Published** | 2026-09-07 10:07 UTC |
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## Usage
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```python
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from datasets import load_dataset
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ds = load_dataset("ram-lexsi/agenttune-testrun-cli")
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print(ds)
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```
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Community: [Lexsi Discord](https://discord.com/invite/dtEDQ2Z3eg)
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