metadata
dataset_info:
features:
- name: index
dtype: int64
- name: text
dtype: string
- name: year
dtype: string
- name: 'No'
dtype: string
splits:
- name: train
num_bytes: 421459076
num_examples: 8553
- name: EMNLP
num_bytes: 346365402
num_examples: 7109
- name: NAACL
num_bytes: 145448060
num_examples: 2994
- name: CVPR
num_bytes: 580597550
num_examples: 12128
- name: ICCV
num_bytes: 260634902
num_examples: 5369
- name: ECCV
num_bytes: 309254132
num_examples: 6166
- name: NIPS
num_bytes: 955057995
num_examples: 20284
- name: IJCAI
num_bytes: 955057995
num_examples: 20284
- name: AAAI
num_bytes: 704912380
num_examples: 18849
- name: ICML
num_bytes: 755479970
num_examples: 10951
- name: ICLR
num_bytes: 456934533
num_examples: 5806
download_size: 3079498448
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:
- "index": Index number starting from 0. It's the primary key;
- "text": The content of the paper in pure text form. Newline is turned into 3 spaces if "-" is not detected;
- "year": A string of the paper's publication year, like "2018". Transform it into int if you need to;
- "No": A string of index number within a year. 1-indexed. It's not very useful and may be omitted.
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.