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Datasets:
zhangdw
/
grove-5k

Languages:
English
Size:
1K<n<10K
Tags:
ai-agents
executable-environments
tool-use
synthetic-data
sqlite
License:
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The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 84, in _split_generators
                  raise ValueError(
                  ...<2 lines>...
                  )
              ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 68, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ~~~~~~~~~~~~~~~~~~~~~~~^
                      path=dataset,
                      ^^^^^^^^^^^^^
                      config_name=config,
                      ^^^^^^^^^^^^^^^^^^^
                      token=hf_token,
                      ^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                      path,
                  ...<6 lines>...
                      **config_kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

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🌲 Grove-5K

A large-scale collection of portable executable environments for tool-use research

🤗 Hugging Face Dataset · 5,101 environments · Apache-2.0

Code  ·  Grove-500  ·  Fathom-12K

Grove-5K contains 5,101 self-contained executable environments produced by the scaled Grafting environment-synthesis pipeline.

📦 At a Glance

Field Value
Environments 5,101
Archive grove-5k.tar.gz
Median tools per environment 25
Tool-count range 14–57
Median relational tables 9
Table-count range 3–27
Median backend size 887 lines
Backend-size range 450–2,478 lines

🚀 Quick Start

Download with the Hugging Face CLI:

uvx hf download zhangdw/grove-5k \
  --type dataset \
  --local-dir grove-5k

Extract the archive:

tar -xzf grove-5k/grove-5k.tar.gz

Explore the collection:

# Count environments.
find grove-5k -mindepth 1 -maxdepth 1 -type d | wc -l

# Inspect one environment contract.
ENV_DIR=$(find grove-5k -mindepth 1 -maxdepth 1 -type d | head -1)
cat "$ENV_DIR/spec/ENVIRONMENT.md"
head "$ENV_DIR/spec/tools.jsonl"

🧱 Environment Format

Every package uses the same portable contract:

grove-5k/
└── <environment_id>/
    ├── spec/
    │   ├── ENVIRONMENT.md
    │   ├── tool_graph.json
    │   └── tools.jsonl
    ├── runtime/
    │   └── backend.py
    ├── tests/
    │   └── test_runtime.py
    └── world/
        ├── schema.sql
        └── world.db

The generated backend is deterministic, uses Python standard-library components, and stores mutable state in the provided SQLite database.

✅ Intended Use

Grove-5K supports:

  • scalable executable-environment synthesis and diversity analysis;
  • environment retrieval, clustering, and tool-graph analysis;
  • grounded data generation and environment-scaling studies.

📚 Citation

If you use this dataset in your research, please cite our paper published in EMNLP 2026 (Main Conference):

From Agent Skills to Executable Environments: Frontier-Targeted Training for Tool-Use LLMs

@inproceedings{zhang-etal-2026-agent-skills,
  title = "From Agent Skills to Executable Environments: Frontier-Targeted Training for Tool-Use {LLM}s",
  author = "Zhang, Dawei and Huangfu, Yubin and Yao, Kyle Yusong and
            Wei, Boyu and Han, Zongqi and Wu, Likang and
            Zhao, Hongke and He, Ming and Fan, Jianping",
  booktitle = "Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing",
  year = "2026",
  pages = "7026--7050",
  url = "https://aclanthology.org/2026.emnlp-main.305/"
}

📄 License

Grove-5K is released under the Apache License 2.0.
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