Add public dataset card, license scope and collection manifest
Browse files- LICENSE +5 -0
- README.md +84 -3
- SHA256SUMS +17 -0
- SOURCE_TERMS.md +23 -0
- manifest.json +2374 -0
LICENSE
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Original prefix-action annotations: copyright 2026 JunHyeok Oh and Byung-Jun Lee.
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Licensed under Creative Commons Attribution 4.0 International.
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https://creativecommons.org/licenses/by/4.0/legalcode
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The license applies only to our original contributions. Benchmark content and third-party model outputs retain their applicable terms; see SOURCE_TERMS.md.
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README.md
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---
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pretty_name: StreamStop
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language:
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- en
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license: cc-by-4.0
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size_categories:
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- 1M<n<10M
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tags:
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- language-model-agents
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- adaptive-stopping
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- reasoning
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- offline-evaluation
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---
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# StreamStop: Agent Reasoning Trajectories with Prefix-Level Action Annotations
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**JunHyeok Oh and Byung-Jun Lee, Korea University**
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[Project page](https://jh2525.github.io/StreamStop/)
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Dataset accompanying *Adaptive Stopping of Streamed Reasoning for Language Model Agents*.
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A completed reasoning trajectory records its final action, but does not reveal the actions the model would generate from earlier reasoning prefixes. StreamStop supplies these prefix-action annotations while holding each decision's environment context fixed. Researchers can train stopping policies and compare their action agreement and reasoning-token use offline, without additional reasoning-model calls or environment rollouts after collection.
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## Collection
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| Configuration | Episodes | Nonempty reasoning streams | Prefix-action annotations |
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|---|---:|---:|---:|
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| WebShop / Qwen3.8-27B | 5,237 | 40,922 | 443,611 |
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| WebShop / Nemotron-30B | 3,437 | 20,021 | 374,499 |
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| ScienceWorld / Qwen3.8-27B | 1,260 | 30,885 | 791,006 |
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| ScienceWorld / Gemini 3.1 Flash-Lite | 1,260 | 31,991 | 487,700 |
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| **Total** | **11,194** | **123,819** | **2,096,816** |
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The full collection includes successful and unsuccessful episodes and invalid action responses. It contains 123,820 decision records, including one Gemini decision with empty reasoning. Annotation coverage varies across streams. The paper's training and validation experiments use a filtered subset from successful collection episodes; the full collection should not be confused with that subset. Closed-loop test evaluation rollouts are not included.
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Gemini uses an explicit plan with native thinking disabled. Its prefix lengths use the prefix reader's tokenizer units; they do not represent native reasoning traces or API billing savings.
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## Files and records
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Each of `webshop_q38`, `webshop_nemo`, `sciworld_q38`, and `gemini_sciworld` contains:
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- `episodes.jsonl.gz`: episode summaries, task identifiers, success and outcomes.
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- `decisions.jsonl.xz`: public context, full reasoning, reference action and parser results.
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- `prefix_actions.jsonl.xz`: prefix length `k`, generated responses/actions and reference parser results.
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All are UTF-8 JSON Lines. JSON records retain their original fields; optional fields differ across configurations. `manifest.json` records collection counts and checksums.
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Join decisions and annotations using configuration, `source_shard`, `split`, `goal`, `step`, and `attempt` (default zero when absent). Episodes use configuration, `source_shard`, `split`, and `goal`. `k` and `sample_index` distinguish prefix annotations. Keep repeated collection samples separate, and preserve the recorded task-level split when building experiments.
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## Download and read
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```python
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from huggingface_hub import snapshot_download
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from pathlib import Path
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import gzip, json, lzma
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root = Path(snapshot_download("jh2525/StreamStop", repo_type="dataset"))
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def iter_records(path):
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opener = lzma.open if path.suffix == ".xz" else gzip.open
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with opener(path, "rt", encoding="utf-8") as stream:
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for line in stream:
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if line.strip():
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yield json.loads(line)
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prefixes = iter_records(root / "webshop_q38/prefix_actions.jsonl.xz")
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record = next(prefixes)
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print(record["k"], record["parse"])
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```
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Compressed files can be read sequentially without decompressing the complete collection to disk. `examples/read_records.py` supplies a local reading example.
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## Interpretation
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Action agreement compares a prefix action with the recorded full-reasoning reference action. It is not a ground-truth correctness label: another action can also succeed in the environment. Offline agreement evaluation is distinct from closed-loop task-success evaluation. See the paper for collection prompts, parsing, filtering, and stopping protocols.
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## License and source terms
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**CC BY 4.0 applies to our original prefix-action annotations.** Benchmark content and model outputs retain their applicable upstream terms. This license does not relicense those assets. See [SOURCE_TERMS.md](SOURCE_TERMS.md) and [LICENSE](LICENSE).
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No model weights are included. Provider request identifiers, credentials, and internal filesystem paths are not part of this release.
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## Citation
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Please cite *Adaptive Stopping of Streamed Reasoning for Language Model Agents*, JunHyeok Oh and Byung-Jun Lee (2026). A permanent arXiv citation will be added after announcement.
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SHA256SUMS
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d74ac9012422fd745117b3323ff2cd0b822f5c69ece52efdd0605fb62d9d191e examples/read_records.py
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28bd9f1373832797a5a47f72fceacb9da43f4126cd3ba195a978f7364b63f94b gemini_sciworld/decisions.jsonl.xz
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c65ec7156c0f3cd73bb72ababecbf7518b071ceb421089318da449b0916ddd1f gemini_sciworld/episodes.jsonl.gz
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7bb0b06423b03650e735bf0b8bd4a7d783b505eb2ecc053b9c3b5cdc8f78ee95 gemini_sciworld/prefix_actions.jsonl.xz
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e85c845fd91d428e38b8c66233e3066ce9d7db61743576a4e29d93df203abdb7 LICENSE
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a519391ccace112e724b0f8fc86bfa484a28a43deb4ddaa0bf74d8477eb1e8d3 manifest.json
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059c7c5d1c583d07ff10981eca3de8b5d73f026c49d18c9cf677c0056e1173c9 README.md
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74f93f3840469110d3cde1a75c7341377183de6f38274f5a89a035f242c92686 sciworld_q38/decisions.jsonl.xz
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e8d13dffe608186681b494de0f753528a2bf37408daea40626393e7dfc2918ac sciworld_q38/episodes.jsonl.gz
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ea9e6e8acb0bfe3eba016d85b266edbffa1c7d4e85614b45ec6687ffb3e4839a sciworld_q38/prefix_actions.jsonl.xz
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25205b56ec90b998ca23e2d3a442c48d753ac9a79c96f92aad0f5f92c04c7b03 SOURCE_TERMS.md
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a60d9627357bfc0d06a6d7dd92c70c682abc102a5fe05d62a7b5f74ca0e7ca6c webshop_nemo/decisions.jsonl.xz
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f1747e2a8bd880f6bf435803d5dce00c0724775cab661cdf1a0f6e56bb9c64d3 webshop_nemo/episodes.jsonl.gz
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74071823ee0ff37c53b77a4750c786fd48006890c6c5df392ab00a6dbcf50ed0 webshop_nemo/prefix_actions.jsonl.xz
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af8b7fbf4ed5717aad94804bfc135236d05629f9350bd108230216c6ea931609 webshop_q38/decisions.jsonl.xz
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8530ecd4f1f309cbd4ef7d19dd6843afec4742f6bcac34313967bd40071870c6 webshop_q38/episodes.jsonl.gz
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d4b79f072e3d0df53d8e52e623f977ffa557031b4ebc4b69539f4f62c367543c webshop_q38/prefix_actions.jsonl.xz
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SOURCE_TERMS.md
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# Source terms and license scope
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## Original annotations
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Original StreamStop annotation contributions are copyright 2026 JunHyeok Oh and Byung-Jun Lee and licensed under Creative Commons Attribution 4.0 International (CC BY 4.0): https://creativecommons.org/licenses/by/4.0/.
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This grant applies only to rights held by the authors in their original contributions. It does not relicense third-party benchmark content, material quoted in reasoning, or model outputs whose rights are held by others. The repository's CC BY 4.0 tag describes the original annotation contribution.
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## Benchmarks
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- ScienceWorld: https://github.com/allenai/ScienceWorld ; Apache-2.0. Copyright 2022 Cognitive AI Lab and Allen Institute for Artificial Intelligence. Preserve applicable copyright/license notices for material covered by that license.
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- WebShop: https://github.com/princeton-nlp/WebShop ; repository software is MIT, copyright 2023 Princeton Natural Language Processing. Product text is a separately supplied third-party resource. We do not grant a new license to that text or claim that the software license establishes its redistribution rights.
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- AgentGym: https://github.com/WooooDyy/AgentGym ; MIT code, copyright 2023 FudanNLP-Agent. Relevant split identifiers and benchmark interfaces are credited to the upstream projects.
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## Model-generated text
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Reasoning and action responses were generated by Qwen3.8-27B, NVIDIA Nemotron 3 Nano 30B-A3B, and Gemini 3.1 Flash-Lite, as identified by each configuration. Gemini uses an explicitly prompted plan with native thinking disabled; it is not a raw native reasoning trace.
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- Qwen model card: https://huggingface.co/Qwen/Qwen3.8-27B-FP8 ; model weights are Apache-2.0.
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- NVIDIA model card: https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-FP8 ; https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-nemotron-open-model-license/ . NVIDIA states it does not claim ownership of model outputs.
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- Gemini API terms: https://ai.google.dev/gemini-api/terms . Google states it does not claim ownership of generated content, assigns responsibility for shared content to the API user, and restricts use of the Services to develop competing models. Applicable provider terms and third-party rights are not replaced by our annotation license.
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No model weights or environment source code are distributed in this package. Model licensing does not itself clear third-party material reproduced in generated text.
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manifest.json
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| 1 |
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| 2 |
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| 11 |
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| 12 |
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| 13 |
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| 14 |
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| 15 |
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| 16 |
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| 17 |
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