Card: FineEnvs citation, install line for openenv[harbor]
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README.md
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manifest.parquet # one row per task, for filtering without walking the tree
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```
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## Serve it
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```bash
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| [`SmolDataEnvs-harbor-train`](https://huggingface.co/datasets/FineEnvs/SmolDataEnvs-harbor-train) | 5,000 tasks as Harbor environments |
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| [`SmolDataEnvs-harbor-test`](https://huggingface.co/datasets/FineEnvs/SmolDataEnvs-harbor-test) | 250 held-out, deliberately harder |
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| [`SmolDataEnvs-harbor-eval`](https://huggingface.co/datasets/FineEnvs/SmolDataEnvs-harbor-eval) | 144 for quick validation during a run |
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manifest.parquet # one row per task, for filtering without walking the tree
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```
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## Install
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```bash
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pip install "openenv[harbor]" # tested with openenv 0.6.0, needs Python 3.12+
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```
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The `[harbor]` extra is what brings in the sandboxes. A plain `pip install openenv` gives you
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the CLI but nothing to run a task in. `--sandbox e2b` also needs `E2B_API_KEY` set.
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## Serve it
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```bash
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| [`SmolDataEnvs-harbor-train`](https://huggingface.co/datasets/FineEnvs/SmolDataEnvs-harbor-train) | 5,000 tasks as Harbor environments |
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| [`SmolDataEnvs-harbor-test`](https://huggingface.co/datasets/FineEnvs/SmolDataEnvs-harbor-test) | 250 held-out, deliberately harder |
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| [`SmolDataEnvs-harbor-eval`](https://huggingface.co/datasets/FineEnvs/SmolDataEnvs-harbor-eval) | 144 for quick validation during a run |
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## Citation
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```bibtex
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@misc{fineenvs,
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author = {Kolavi, Adithya S},
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title = {FineEnvs: Open Source RL Environments for LLM Agents},
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year = {2026},
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url = {https://github.com/adithya-s-k/FineEnvs}
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}
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```
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