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Datasets:
youngfish42
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PaperVault

Tasks:
Text Retrieval
Text Classification
Modalities:
Tabular
Text
Formats:
json
Languages:
Chinese
English
Size:
100K - 1M
Tags:
papers
academic
bibliography
nlp
computer-vision
machine-learning
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
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metadata 
license: gpl-3.0
task_categories:
  - text-retrieval
  - text-classification
language:
  - zh
  - en
tags:
  - papers
  - academic
  - bibliography
  - nlp
  - computer-vision
  - machine-learning
pretty_name: PaperVault
size_categories:
  - 100K<n<1M
configs:
  - config_name: papers
    data_files: cache/cache.jsonl.gz
    default: true
  - config_name: abstract_backfill_progress
    data_files: cache/abstract_backfill_progress.jsonl.gz

PaperVault Dataset · 论文元数据库

🔎 项目简介 · Overview

PaperVault 是一份持续自动更新的统一论文元数据库，覆盖自然语言处理、计算机视觉、机器学习、数据挖掘、数据库、语音、系统、网络、安全、理论计算机科学、人机交互、计算机图形学与多媒体等方向的顶级会议与期刊。PaperVault is a continuously-updated, unified metadata database of papers from top-tier conferences and journals across NLP, Computer Vision, Machine Learning, Data Mining, Databases, Speech, Systems, Networking, Security, Theory, HCI, Graphics, and Multimedia.

🌐 源仓库 / Source: github.com/youngfish42/PaperVault — Web UI、REST API、采集流水线、Issues / PRs 全部在那里 · Web UI, REST API, crawling pipelines and issues/PRs all live there.

🆕 最近更新 · Recent Update

  • 📅 最近更新 · Last updated: 2026-06-28 (Asia/Shanghai)
  • 📊 数据库规模 · Database size: 635,187 篇论文 / 120 个刊物系列 / 156,109 篇含摘要 / 25,573 篇含开源代码（635,187 papers / 120 venue series / 156,109 with abstract / 25,573 with code）

📈 数据看板 · Statistics at a Glance

下列 4 张统计图与 cache.jsonl.gz 同源同步，反映本数据集的最新状态。The four charts below are generated from the same cache.jsonl.gz and always reflect the latest state of this dataset.

Statistics Overview

Papers by Research Field

Annual Paper Collection Trend

Publication Series Word Cloud

📦 数据集内容 · What's in this dataset

路径 Path 子集 Subset 格式 Format 说明 Description
cache/cache.jsonl.gz papers（默认 / default） gzip-compressed JSON Lines (UTF-8) 每行一篇论文 · One paper per line; one JSON object per line
cache/abstract_backfill_progress.jsonl.gz abstract_backfill_progress gzip-compressed JSON Lines (UTF-8) 摘要回填流水线的进度/断点记录，不是论文元数据；仅供工作流恢复使用 · Append-only progress log of the abstract-backfill pipeline (not paper records); used by the workflow to resume between runs

Hugging Face 会自动为 cache.jsonl.gz 生成 Parquet 视图，也可直接用 datasets.load_dataset(...) 读取，无需手动解压。Hugging Face also exposes an auto-generated Parquet view, so datasets.load_dataset(...) works out of the box.

💡 Dataset Viewer 与 datasets.load_dataset("youngfish42/PaperVault") 默认展示/加载的都是 papers 子集（即 cache/cache.jsonl.gz）。如需查看回填进度，请在 Viewer 顶部下拉框切换到 abstract_backfill_progress，或调用 load_dataset("youngfish42/PaperVault", name="abstract_backfill_progress")。The Dataset Viewer and datasets.load_dataset("youngfish42/PaperVault") both default to the papers subset (cache/cache.jsonl.gz). To inspect backfill progress, switch the Viewer's subset dropdown to abstract_backfill_progress or call load_dataset("youngfish42/PaperVault", name="abstract_backfill_progress").

📐 字段 Schema

Field 字段 Type 类型 Notes 说明
paper_name string 论文标题（已归一化）· Normalised paper title
paper_authors list[string] 作者列表，按原始顺序 · Author names in order
paper_url string 论文在原始平台的链接（PDF 或落地页）· Canonical URL on the venue's site (PDF or landing page)
paper_abstract string 摘要；未回填时为空字符串 · Abstract; may be empty when not yet backfilled
paper_code string 从摘要中抽取出的 GitHub 仓库 URL；"#" 是「未发现代码链接」的占位符 · GitHub repository URL extracted from the abstract; "#" is the sentinel for "no code link discovered"
conf string 会议+年份标识，如 ACL2024、NIPS2023、CVPR2025；去掉末尾四位数字即可得到会议系列。注意 NeurIPS Proceedings 沿用历史命名 NIPS{year}。Venue + year identifier (e.g. ACL2024, NIPS2023, CVPR2025). Strip the trailing 4-digit year to recover the venue series. Note that NeurIPS Proceedings entries use the historical name NIPS{year}.

缺失字段请按空字符串处理。Treat missing fields as empty strings.

⬇️ 获取方式 · How to download

下面三种方式任选其一即可，无需克隆 GitHub 仓库。Pick any one of the three options below — no GitHub clone is required.

方式 A · Option A — huggingface_hub（推荐 / recommended） 

from huggingface_hub import hf_hub_download
import gzip, json

path = hf_hub_download(
    repo_id="youngfish42/PaperVault",
    filename="cache/cache.jsonl.gz",
    repo_type="dataset",
)

with gzip.open(path, "rt", encoding="utf-8") as f:
    for line in f:
        record = json.loads(line)
        # 在这里处理一条记录 · do something with the record

方式 B · Option B — datasets 

from datasets import load_dataset

ds = load_dataset("youngfish42/PaperVault")
print(ds[next(iter(ds))][0])

数据集只有一个默认 split（非 ML 训练集），不要传 split="train"。Single default split — do not pass split="train".

方式 C · Option C — huggingface-cli / 直接 HTTPS · Plain HTTPS 

huggingface-cli download youngfish42/PaperVault \
    cache/cache.jsonl.gz --repo-type dataset --local-dir ./data

💡 文件压缩后约 120 MB（会随数据持续增长），解压后是 GB 级 JSONL 流，请按行流式读取，不要整体载入内存。The file is ~120 MB compressed (and growing) and decompresses to a multi-GB JSONL stream. Stream it line-by-line rather than loading the whole thing into memory.

🔁 更新节奏 · Update cadence

数据集由三个 GitHub Actions 工作流负责重建并推送到本 Hub 仓库 / The dataset is rebuilt and pushed to this Hub repo by three GitHub Actions workflows：

工作流 Workflow 触发节奏 Schedule 推送的内容 What it pushes
collect_papers 每月 15 号 16:00 UTC + 手动触发 · 15th of every month at 16:00 UTC + workflow_dispatch 增量抓取新发现的会议/年份组合 · Incremental crawl of newly-discovered conference/year combinations
backfill_abstracts 每月 1 号 00:00 UTC + 手动触发 · 1st of every month at 00:00 UTC + workflow_dispatch 为已有论文回填 paper_abstract · Adds paper_abstract for papers that were collected without one
update_readme 仅手动触发 (workflow_dispatch) · Manual only (workflow_dispatch) 默认仅刷新 README 与统计；当输入参数 mode=force 时执行全量重建 · Refreshes the README and statistics by default; performs a full rebuild only when invoked with mode=force

每次推送都使用 Hugging Face 的 parent_commit 乐观锁机制，避免并发覆盖。Each push uses Hugging Face's parent_commit optimistic-lock mechanism to avoid silently overwriting concurrent updates.

🔗 关联仓库 · Related repository

如果你需要完整的搜索 Web UI（智能搜索 + Web of Science 风格的高级查询 DSL）、REST API（/api/v1/*）、抓取 / 合并 / 摘要回填流水线源码、收录会议范围、统计仪表盘、项目截图或贡献指南，请前往 GitHub 项目仓库。If you are looking for the full search Web UI (smart search + Web-of-Science-style advanced query DSL), the REST API (/api/v1/*), the crawling / merging / abstract-backfill pipelines source code, conference coverage, statistics dashboards, screenshots or contribution guidelines, please visit the GitHub repository.

👉 github.com/youngfish42/PaperVault

📜 许可证 · License

代码以 GPL-3.0 发布；每条论文记录的著作权仍属于原作者 / 出版方，本数据集仅重新分发公开可获取的元数据与链接。Code is released under GPL-3.0; individual paper records remain the IP of their authors/publishers — this dataset only redistributes publicly available bibliographic metadata and links.