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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=t10856andopen_access.is_oa=true. - PDF parsing: Dolphin 1.5 on a CUDA 11.8 worker fleet.
- Embeddings: OpenAI
text-embedding-3-small(1 536-d), normalised for cosine similarity.
Loading
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
which auto-resolves to the right cache.
License
Released under CC-BY-NC-4.0. Each underlying paper retains its own license. For takedown requests, open a discussion on this repo.
Citation
@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}
}
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