--- 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_.json` | Pre-computed semantic chunks per paper (~2 000 chars coarse, ~300 chars fine). | | `indexes/.faiss` | FAISS `IndexFlatIP` built from OpenAI `text-embedding-3-small` (1 536-d). | | `indexes/_metadata.json` | Row → chunk mapping with paper id, section hierarchy, text. | | `processed//document.md` | Dolphin-1.5 parsed markdown (preserves sections, equations, tables). | | `processed//metadata.json` | Page-level layout metadata from the VLM. | | `raw_metadata/.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/.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} } ```