Dataset: NIPS Papers

About this Dataset

NIPS Papers

Neural Information Processing Systems (NIPS) is one of the top machine learning conferences in the world. It covers topics ranging from deep learning and computer vision to cognitive science and reinforcement learning.

This dataset includes the title, authors, abstracts, and extracted text for all NIPS papers to date (ranging from the first 1987 conference to the current 2016 conference). I've extracted the paper text from the raw PDF files and are releasing that both in CSV files and as a SQLite database. The code to scrape and create this dataset is on GitHub. Here's a quick RMarkdown exploratory overview of what's in the data.

We encourage you to explore this data and share what you find through Kaggle Kernels!

Tables

Authors

@kaggle.benhamner_nips_papers.authors

200.09 KB
9784 rows
2 columns


CREATE TABLE authors (
  "id" BIGINT,
  "name" VARCHAR
);

Papers

@kaggle.benhamner_nips_papers.papers

111.14 MB
7241 rows
7 columns


CREATE TABLE papers (
  "id" BIGINT,
  "year" BIGINT,
  "title" VARCHAR,
  "event_type" VARCHAR,
  "pdf_name" VARCHAR,
  "abstract" VARCHAR,
  "paper_text" VARCHAR
);

Paper Authors

@kaggle.benhamner_nips_papers.paper_authors

257.67 KB
20838 rows
3 columns


CREATE TABLE paper_authors (
  "id" BIGINT,
  "paper_id" BIGINT,
  "author_id" BIGINT
);