README.md

---
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](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)