| --- |
| license: cc-by-nc-4.0 |
| language: en |
| pretty_name: CiteRight RAG Corpus (IP and Innovation Policy) |
| tags: |
| - rag |
| - retrieval |
| - citation |
| - faithfulness |
| - scientific-papers |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # CiteRight Corpus |
|
|
| Research dataset accompanying the CS-552 (EPFL Spring 2026) Open Project |
| **Faithful RAG: Citation Accuracy and Retrieval Robustness in Domain-Specific |
| Scientific Literature** by Team CiteRight (Elie Bruno, Andrea Trugenberger, |
| Faruk Zahiragic, Yusif Askari). |
|
|
| ## Contents |
|
|
| | Path | Description | |
| |---|---| |
| | `chunks/<paper_id>_<coarse\|fine>.json` | Pre-computed semantic chunks per paper (~2 000 chars coarse, ~300 chars fine). | |
| | `indexes/<coarse\|fine>.faiss` | FAISS `IndexFlatIP` built from OpenAI `text-embedding-3-small` (1 536-d). | |
| | `indexes/<coarse\|fine>_metadata.json` | Row → chunk mapping with paper id, section hierarchy, text. | |
| | `processed/<paper_id>/document.md` | Dolphin-1.5 parsed markdown (preserves sections, equations, tables). | |
| | `processed/<paper_id>/metadata.json` | Page-level layout metadata from the VLM. | |
| | `raw_metadata/<paper_id>.json` | OpenAlex bibliographic record (DOI, year, OA status). | |
|
|
| Original PDFs are **not** redistributed: anyone who needs them can refetch |
| from OpenAlex using the `id` field in `raw_metadata/<paper_id>.json`. |
|
|
| ## Provenance |
|
|
| - **Source:** OpenAlex, filtered with `primary_topic.id=t10856` and `open_access.is_oa=true`. |
| - **PDF parsing:** [Dolphin 1.5](https://github.com/ByteDance-Seed/Dolphin) on a CUDA 11.8 worker fleet. |
| - **Embeddings:** OpenAI `text-embedding-3-small` (1 536-d), normalised for cosine similarity. |
|
|
| ## Loading |
|
|
| ```python |
| from huggingface_hub import snapshot_download |
| |
| local = snapshot_download("citeright/corpus", repo_type="dataset", |
| local_dir="/scratch/citeright_artifacts") |
| ``` |
|
|
| Or use the helpers in [`evaluation/common/data_loader.py`](https://github.com/eliemada/cs552-faithful-rag/blob/main/evaluation/common/data_loader.py) |
| which auto-resolves to the right cache. |
|
|
| ## License |
|
|
| Released under [CC-BY-NC-4.0](https://creativecommons.org/licenses/by-nc/4.0/). |
| Each underlying paper retains its own license. For takedown requests, open |
| a discussion on this repo. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @misc{citeright2026, |
| title = {CiteRight: Citation Accuracy and Retrieval Robustness in Scientific RAG}, |
| author = {Bruno, Elie and Trugenberger, Andrea and Zahiragic, Faruk and Askari, Yusif}, |
| year = 2026, |
| note = {CS-552 Modern NLP Open Project, EPFL} |
| } |
| ``` |
|
|
