Updated README — logo, related models, methodology, grant acknowledgment

README.md

@@ -7,34 +7,128 @@ tags:
   - scientific-posters
   - poster-detection
   - poster-sentry
+  - machine-actionable
+  - FAIR-data
+  - posters-science
+  - quality-control
+  - multimodal
 size_categories:
   - 1K<n<10K
 task_categories:
   - text-classification
 ---
 
+<div align="center">
+  <img src="https://huggingface.co/fairdataihub/poster-sentry/resolve/main/PosterSentry.png" alt="PosterSentry Logo" width="300"/>
+</div>
+
 # PosterSentry Training Data
 
-Extracted text from real scientific poster PDFs and non-poster documents,
-used to train the [PosterSentry classifier](https://huggingface.co/fairdataihub/poster-sentry).
+Training dataset for [**PosterSentry**](https://huggingface.co/fairdataihub/poster-sentry) — the multimodal scientific poster classifier used in the [posters.science](https://posters.science) quality control pipeline.
+
+Developed by the [**FAIR Data Innovations Hub**](https://fairdataihub.org/) at the California Medical Innovations Institute (CalMI²).
+
+## Dataset Description
+
+Text extracted from **real scientific poster PDFs** and **real non-poster documents** — zero synthetic data. Every sample comes from an actual PDF downloaded from Zenodo or Figshare as part of the posters.science corpus.
+
+### Source Corpus
+
+Sampled from a curated collection of **30,000+ classified scientific PDFs**:
+
+| Category | Count | Platforms |
+|----------|-------|-----------|
+| Verified scientific posters | 28,111 | Zenodo, Figshare |
+| Verified non-posters | 2,036 | Zenodo, Figshare |
+| Corrupt/unreadable | 58 | — |
+| **Total classified** | **30,205** | — |
+
+Non-posters include multi-page papers, conference proceedings, abstract books, newsletters, project proposals, and other documents mislabeled as "posters" in repository metadata.
+
+## Files
+
+| File | Description | Samples |
+|------|-------------|---------|
+| `poster_sentry_train.ndjson` | Training data (text + labels) | 3,606 |
 
 ## Format
 
-NDJSON with `text` and `label` fields:
+NDJSON (newline-delimited JSON) with `text` and `label` fields:
+
 ```json
-{"text": "TITLE: Effects of Temperature on...", "label": "poster"}
-{"text": "Abstract. We present a novel approach...", "label": "non_poster"}
+{"text": "TITLE: Effects of Temperature on Enzyme Kinetics\nAUTHORS: A. Smith...", "label": "poster"}
+{"text": "Abstract. We present a novel approach to distributed computing...", "label": "non_poster"}
+```
+
+## Label Distribution
+
+| Label | Count | Description |
+|-------|-------|-------------|
+| `poster` | 1,803 | Text from first page of verified single-page scientific posters |
+| `non_poster` | 1,803 | Text from first page of verified multi-page documents |
+
+Classes are perfectly balanced (1:1 ratio).
+
+## Data Collection Methodology
+
+1. **Poster corpus assembly**: 30K+ PDFs scraped from Zenodo and Figshare using the [poster-repo-scraper](https://github.com/fairdataihub/poster-repo-scraper)
+2. **Classification**: A Gradient Boosting classifier using PDF structural features (page count, physical dimensions, file size) separated posters from non-posters with F1 = 1.0 on held-out data
+3. **Separation**: 2,036 non-posters moved to a separate directory; 28,111 verified posters retained
+4. **Text extraction**: First page text extracted from each PDF using PyMuPDF (fitz), cleaned and truncated to 4,000 characters
+5. **Balanced sampling**: 1,803 samples per class (limited by the smaller non-poster class)
+
+## Related Resources
+
+| Resource | Link |
+|----------|------|
+| **PosterSentry model** | [fairdataihub/poster-sentry](https://huggingface.co/fairdataihub/poster-sentry) |
+| **Llama-3.1-8B-Poster-Extraction** | [fairdataihub/Llama-3.1-8B-Poster-Extraction](https://huggingface.co/fairdataihub/Llama-3.1-8B-Poster-Extraction) |
+| **poster2json library** | [PyPI](https://pypi.org/project/poster2json/) · [GitHub](https://github.com/fairdataihub/poster2json) |
+| **poster-json-schema** | [GitHub](https://github.com/fairdataihub/poster-json-schema) |
+| **Platform** | [posters.science](https://posters.science) |
+
+## Usage
+
+### Train PosterSentry from this data
+
+```bash
+pip install poster-sentry
+python scripts/train_poster_sentry.py --n-per-class 2000
+```
+
+### Load directly with HuggingFace datasets
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("fairdataihub/poster-sentry-training-data")
+print(ds["train"][0])
+# {"text": "TITLE: ...", "label": "poster"}
+```
+
+### Use for PubGuard doc_type training
+
+The poster texts in this dataset are also used by [PubGuard](https://huggingface.co/jimnoneill/pubguard-classifier) to train its `poster` document-type classification head.
+
+## Citation
+
+```bibtex
+@dataset{poster_sentry_data_2026,
+  title = {PosterSentry Training Data: Real Scientific Poster Text Corpus},
+  author = {O'Neill, James and Soundarajan, Sanjay and Portillo, Dorian and Patel, Bhavesh},
+  year = {2026},
+  url = {https://huggingface.co/datasets/fairdataihub/poster-sentry-training-data},
+  note = {Part of the posters.science initiative}
+}
 ```
 
-## Statistics
+## License
 
-| Label | Count | Source |
-|-------|-------|--------|
-| poster | 1,803 | Zenodo & Figshare verified posters |
-| non_poster | 1,803 | Multi-page docs (papers, proceedings, newsletters) |
+MIT License — See [LICENSE](https://opensource.org/licenses/MIT) for details.
 
-## Source Corpus
+## Acknowledgments
 
-Sampled from 30K+ PDFs in the [posters.science](https://posters.science) collection:
-- 28,111 verified scientific posters
-- 2,036 verified non-posters
+- [FAIR Data Innovations Hub](https://fairdataihub.org/) at California Medical Innovations Institute (CalMI²)
+- [posters.science](https://posters.science) platform
+- HuggingFace for dataset hosting infrastructure
+- Funded by The Navigation Fund ([10.71707/rk36-9x79](https://doi.org/10.71707/rk36-9x79)) — "Poster Sharing and Discovery Made Easy"