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README.md
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---
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license: other
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license_name: data-use-agreement
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license_link: LICENSE
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task_categories:
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- token-classification
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language:
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- en
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tags:
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- medical
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- clinical
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- phi
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- de-identification
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- ner
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- named-entity-recognition
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pretty_name: "SHIELD Sample"
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size_categories:
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- n<1K
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configs:
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- config_name: sample_notes
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data_files: data/sample/notes.parquet
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- config_name: sample_spans
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data_files: data/sample/spans.parquet
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default_config_name: sample_notes
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---
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> **This is a public sample of the SHIELD dataset.** It contains a small subset of the data for exploring the schema and building your pipeline. For the **full dataset**, see [shc-research-tech/shield](https://huggingface.co/datasets/shc-research-tech/shield) (requires access approval).
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# SHIELD
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SHIELD is a dataset of clinical text with PHI (Protected Health Information) span annotations for benchmarking de-identification and named entity recognition models. The dataset contains de-identified clinical notes from Stanford Medicine with expert-annotated PHI spans across 9 entity categories.
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## Quickstart
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1. This **public sample** is available without access approval — use it to explore the schema and build your pipeline
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2. To access the **full dataset**, complete the [access request process](#access-requirements) at [shc-research-tech/shield](https://huggingface.co/datasets/shc-research-tech/shield)
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## Dataset Structure
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### Notes Table
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| Column | Type | Description |
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|---|---|---|
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| `note_id` | string | Unique identifier for each clinical note |
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| `note_text` | string | Full text of the clinical note |
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| `note_type` | string | Type of clinical note (e.g., discharge summary, radiology report) |
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### Spans Table
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| Column | Type | Description |
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|---|---|---|
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| `span_id` | string | Unique identifier for each annotated span |
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| `note_id` | string | Foreign key linking to the notes table |
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| `span_start` | int | Character offset where the span begins |
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| `span_end` | int | Character offset where the span ends |
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| `span_label` | string | PHI category label |
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### Labels
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| Label | Description |
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|---|---|
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| `age` | Patient age |
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| `date` | Dates (admission, discharge, procedures, etc.) |
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| `doctor` | Physician or provider names |
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| `hospital` | Hospital or facility names |
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| `id` | Medical record numbers, SSNs, or other identifiers |
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| `location` | Addresses, cities, states, zip codes |
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| `patient` | Patient names |
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| `phone` | Phone or fax numbers |
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| `web` | Email addresses, URLs, IP addresses |
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## Usage
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### Loading the public sample
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```python
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from datasets import load_dataset
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# Public sample (no access request needed)
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sample_notes = load_dataset("shc-research-tech/shield-sample", "sample_notes")
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sample_spans = load_dataset("shc-research-tech/shield-sample", "sample_spans")
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```
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### Loading the full dataset (requires access)
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```python
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from datasets import load_dataset
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# Full dataset (requires approved access)
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full_notes = load_dataset("shc-research-tech/shield", "full_notes")
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full_spans = load_dataset("shc-research-tech/shield", "full_spans")
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```
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---
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## Usage Notes
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**NOTE:** You must apply using your institutional email address. If you use Gmail or other personal email addresses, you will not be granted access.
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## Access Requirements
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Access to the full SHIELD dataset requires the following:
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- A **Hugging Face account**. Create one at [huggingface.co/join](https://huggingface.co/join) if you don't have one. You will need to provide your Hugging Face username in the application.
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- **Verified affiliation** with an Academic, Government, or Industry Research Lab. Please use your **institutional email address** when applying — do not use Gmail or personal emails.
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- **CITI Training**: Completion of the CITI Program course **"Data or Specimens Only Research"** (the same course required for MIMIC-IV access on PhysioNet).
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- **Signing the Data Use Agreement** (electronically via REDCap).
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- **Institutional email verification** to confirm ownership of your email address.
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- Providing a short **description of your intended research use** of SHIELD.
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### How to Apply
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Complete our access request form on REDCap:
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**[Apply for Access](https://redcap.stanford.edu/surveys/?s=LJ77HAA3HXRLTFEP)**
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The application process has four steps:
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1. **Submit Access Request** — Provide your name, institution, role, Hugging Face username, intended use, and upload your CITI completion certificate.
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2. **Sign the Data Use Agreement** — Read and electronically sign the DUA. You will be automatically redirected after step 1.
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3. **Verify Your Institutional Email** — A verification link will be sent to your institutional email address. You must click the link to confirm ownership.
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4. **Admin Review** — Your request will be reviewed and you will be notified by email of the decision.
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Once approved, go to [shc-research-tech/shield](https://huggingface.co/datasets/shc-research-tech/shield), check the confirmation box, and click "Request Access" to link your Hugging Face account.
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These data must remain on your encrypted machine. **Redistribution of data is FORBIDDEN** and will result in immediate termination of access privileges.
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### Important Notes
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- Sending SHIELD data over a non-HIPAA-compliant API is a violation of the DUA.
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- If you create derived research artifacts based on SHIELD (such as additional annotations or synthetic data), please contact us to discuss appropriate hosting and licensing.
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- Please allow **5 business days** to process applications.
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---
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## Contact
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JD Posada (jdposada@stanford.edu)
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## Citation
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```bibtex
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@inproceedings{YOUR_CITATION,
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title={YOUR TITLE},
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author={YOUR AUTHORS},
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year={2026},
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}
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```
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