README.md

metadata

license: cc-by-4.0
language:
  - en
pretty_name: Efficient LLM Papers
size_categories:
  - 1K<n<10K
task_categories:
  - text-classification
  - text-generation
tags:
  - arxiv
  - semantic-scholar
  - papers
  - research
  - machine-learning
configs:
  - config_name: default
    data_files: data.jsonl

Efficient LLM Papers — FineSet

A research-paper dataset on Efficient LLM Papers, assembled, deduplicated, and quality-scored by FineSet from arXiv and Semantic Scholar.

📸 This is a dated snapshot — generated 2026-06-12. It is not auto-updated. Research on Efficient LLM Papers moves fast — new papers land on arXiv every week. Want this same dataset refreshed daily, on a topic you choose? See the bottom. ↓

Why this dataset

• Quality-scored: quality_score float (0–1), citation-normalized — filter out the noise
• Papers with code: 435 flagged via has_code — find reproducible work fast
• Deduplicated: arXiv + Semantic Scholar cross-referenced, duplicate records merged
• Clean JSONL: 1734 records, one per line, normalized fields — no encoding garbage

Dataset details

• Records: 1734
• Date range: 2022–2026
• Snapshot date: 2026-06-12 (frozen — see note above)
• Sources: arXiv, Semantic Scholar (cross-referenced, duplicates merged)
• arXiv categories: cs.LG
• Quality scoring: citation-normalized, 0–1 (p50=0.15, p90=0.406)
• Format: JSONL, one record per line

Fields

Field	Type	Description
id	string	Deterministic SHA256 record id
sources	list	Which sources contributed (arxiv, semantic_scholar)
title	string	Paper title
abstract	string	Full abstract
authors	list	Author names
categories	list	arXiv category codes
fields_of_study	list	Semantic Scholar field tags
published_date	string	ISO 8601 date
url	string	arXiv abstract URL
pdf_url	string|null	Open-access PDF if available
arxiv_id	string|null	arXiv identifier
doi	string|null	DOI if available
citation_count	int	Citation count (Semantic Scholar)
influential_citation_count	int	Influential citations (Semantic Scholar)
has_code	bool	Code repo detected in the arXiv comment
code_url	string|null	GitHub URL if detected
venue	string|null	Publication venue
quality_score	float	0–1, citation-normalized

Quality score methodology

quality_score = min(1.0, log10(citation_count + 1) / 4)

A citation-normalized heuristic: 0 for uncited papers, ~0.5 at 100 citations, ~0.75 at 1,000, 1.0 at 10,000+. Useful for filtering training data by impact.

👉 Want this on YOUR topic, updated daily?

This snapshot is frozen at 2026-06-12. The live FineSet pipeline keeps a dataset like this refreshed every day on whatever topic you describe — new papers in, dedup and quality scoring automatic, export as JSONL/Parquet or push straight to the Hub.

Try it now — it's live: → fineset.io — describe your research topic in plain English and get a fresh, quality-scored dataset in minutes. Free to start.