AI-paper-crawl / README.md
Shuyu Wu
manually delete train split
e1bde6c
metadata
dataset_info:
  features:
    - name: index
      dtype: int64
    - name: text
      dtype: string
    - name: year
      dtype: string
    - name: 'No'
      dtype: string
  splits:
    - name: ACL
      num_bytes: 421459076
      num_examples: 8553
    - name: AAAI
      num_bytes: 704912380
      num_examples: 18849
    - name: CVPR
      num_bytes: 580597550
      num_examples: 12128
    - name: ECCV
      num_bytes: 309254132
      num_examples: 6166
    - name: EMNLP
      num_bytes: 346365402
      num_examples: 7109
    - name: ICCV
      num_bytes: 260634902
      num_examples: 5369
    - name: ICLR
      num_bytes: 456934533
      num_examples: 5806
    - name: ICML
      num_bytes: 755479970
      num_examples: 10951
    - name: IJCAI
      num_bytes: 955057995
      num_examples: 20284
    - name: NAACL
      num_bytes: 145448060
      num_examples: 2994
    - name: NIPS
      num_bytes: 955057995
      num_examples: 20284
  download_size: 3079484694
  dataset_size: 5891201995

Dataset Card for "AI-paper-crawl"

The dataset contains 11 splits, corresponding to 11 conferences.

For each split, there are several fields:

  1. "index": Index number starting from 0. It's the primary key;
  2. "text": The content of the paper in pure text form. Newline is turned into 3 spaces if "-" is not detected;
  3. "year": A string of the paper's publication year, like "2018". Transform it into int if you need to;
  4. "No": A string of index number within a year. 1-indexed. In "ECCV" split, the "No" is index number throughout the entire split. It only provides a reference of the order that these papers are accessed, instead of the real publication order.

The "ICLR" split may miss roughly 20%-25% of the papers, since it's collected by searching on arxiv, which may return 0 or more than 1 results.

More Information needed