A scholarly data set with publications’ full-text, annotated in-text citations, and links to metadata. The unarXive data set contains * One million papers in plain text * 63 million citation contexts * 39 million reference strings * A citation network of 16 million connections The data is generated from all LaTeX sources on arXiv from 1991–2020/07 and therefore of higher quality than data generated from PDF files. Furthermore, as all citing papers are available in full text, citation contexts of arbitrary size can be extracted. Typical uses of the data set are approaches in * Citation recommendation * Citation context analysis * Reference string parsing The code for generating the data set is publicly available.

Dataset DAPFAM See the accompanying paper: Ayaou et al., 2025 — “DAPFAM: A Domain‑Aware Patent Retrieval Dataset Aggregated at the Family Level” (arXiv:2506.22141). ## Summary DAPFAM provides 1 247 balanced query patent families and 45 336 target families with forward/backward‑citation relevance labels (≈ 50 K pairs). Each relevant link is explicitly marked in‑domain or out‑of‑domain according to IPC 3‑char overlap, enabling rigorous cross‑domain evaluation. * Full text (title · abstract · claims · description) plus rich metadata for every family. * Multi‑jurisdictional, English‑only text (families may originate in US, JP, EP, CN, …). * Parquet qrel file: qrels_all.parquet. ## Dataset Structure corpus.parquet # 45 336 rows, targets – every original column from the paper queries.parquet # 1 247 rows, queries – same columns + abstract_keywords qrels_all.parquet # (all | in | out) four‑column tables → query_id · relevant_id · relevance_score · domain_rel ## Citation @misc{ayaou2025dapfam, title={DAPFAM: A Domain-Aware Patent Retrieval Dataset Aggregated at the Family Level}, author={Iliass Ayaou and Denis Cavallucci and Hicham Chibane}, year={2025}, eprint={2506.22141}, archivePrefix={arXiv}, primaryClass={cs.CL} } ## Quick Stats * Queries: 1,247 * Corpus (targets): 45,336 * Qrels (all): 49,869 * Qrels (in): 19,736 * Qrels (out): 5,193

Composed of judgments from the French Court of cassation and their corresponding summaries. Source: STRASS: A Light and Effective Method for Extractive Summarization Based on Sentence Embeddings