Publish final DataShield risk scores

.gitattributes

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 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
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+data/alpaca52k.jsonl filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+pretty_name: DataShield Sample-Level Risk Scores
+language:
+- en
+license: other
+task_categories:
+- text-generation
+tags:
+- safety
+- alignment
+- instruction-tuning
+- data-filtering
+- risk-scoring
+- emnlp
+size_categories:
+- 10K<n<100K
+configs:
+- config_name: dolly15k
+  default: true
+  data_files:
+  - split: train
+    path: data/dolly15k.jsonl
+- config_name: alpaca52k
+  data_files:
+  - split: train
+    path: data/alpaca52k.jsonl
+---
+
+# DataShield
+
+This dataset releases sample-level risk scores for **DataShield: Uncovering Risky Fine-Tuning Data Across LLMs Through Consensus Subspace Alignment**, accepted to the **EMNLP Main Conference**.
+
+For the method, code, and complete documentation, see the [DataShield GitHub repository](https://github.com/ZJU-LLM-Safety/DataShield).
+
+<p align="center">
+  <img src="assets/framework.png" width="900" alt="DataShield framework">
+</p>
+
+## Dataset configurations
+
+| Configuration | Source dataset | Rows |
+| --- | --- | ---: |
+| `dolly15k` | `databricks/databricks-dolly-15k` | 15,011 |
+| `alpaca52k` | `tatsu-lab/alpaca` | 51,974 |
+
+```python
+from datasets import load_dataset
+
+dolly = load_dataset("killdevil111/DataShield-Sample-Risk", "dolly15k")
+alpaca = load_dataset("killdevil111/DataShield-Sample-Risk", "alpaca52k")
+```
+
+Each record contains the source instruction-tuning sample and its final DataShield `risk_score`. A higher score indicates a higher estimated fine-tuning risk. The score is intended for ranking and data filtering rather than as a calibrated probability or binary label.
+
+## Citation
+
+```bibtex
+@article{wu2026datashield,
+  title={DataShield: Uncovering Risky Fine-Tuning Data Across LLMs Through Consensus Subspace Alignment},
+  author={Wu, Zefeng and Qi, Weiwei and Chen, Jielong and Zheng, Tianhang and Hong, Di and Lu, Chaochao and He, Liang and Qin, Zhan and Ren, Kui},
+  journal={arXiv preprint arXiv:2607.15081},
+  year={2026}
+}
+```

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