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. Notice that the "train" split correspond to ACL conference. Other splits' names are the conference name.

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)