Datasets:
Update README.md
Browse files
README.md
CHANGED
@@ -1,3 +1,63 @@
|
|
1 |
-
|
2 |
-
|
3 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
# AceMap Academic Graph Dataset
|
2 |
+
|
3 |
+
## Dataset Description
|
4 |
+
The AceMap Academic Graph Dataset is a large-scale academic citation network, containing **2,624,498,906 edges** and **264,675,127 nodes**. Each node represents an academic paper, and each edge indicates that one paper cites another. Each node can be linked to the [AceMap](https://acemap.info/) website for more detailed information.
|
5 |
+
|
6 |
+
## Dataset Source
|
7 |
+
This dataset is provided by:
|
8 |
+
- Wang, Xinbing, et al. "AceMap: Knowledge discovery through academic graph." arXiv preprint arXiv:2403.02576 (2024).
|
9 |
+
|
10 |
+
## Data Format
|
11 |
+
The dataset is provided in CSV file format, containing two columns:
|
12 |
+
- `id`: The unique identifier of the paper, in the form of `ZEJBRUdDQUdBRUI`.
|
13 |
+
- `referenced_works`: The unique identifier of the cited paper, in the form of `ZDlHREE5QjhCRkQ`.
|
14 |
+
|
15 |
+
## Data Examples
|
16 |
+
Here are some examples from the dataset:
|
17 |
+
|
18 |
+
| id | referenced_works |
|
19 |
+
|------------------------|--------------------------------|
|
20 |
+
| ZEJBRkNDRTg3RDk | ZDlHREE5QjhCRkQ |
|
21 |
+
| ZEJBRkNDRTg3RDk | ZDlHRTk4REVHN0E |
|
22 |
+
...
|
23 |
+
|
24 |
+
|
25 |
+
## Usage Instructions
|
26 |
+
|
27 |
+
### 1. Unzip the `.tar.gz` Files
|
28 |
+
Use the `tar` command to extract the contents of each `.tar.gz` file. For example, to extract all files to a directory named `data`, you can run the following commands:
|
29 |
+
|
30 |
+
```bash
|
31 |
+
tar -xzvf filelist_part_aa.tar.gz -C data/
|
32 |
+
tar -xzvf filelist_part_ab.tar.gz -C data/
|
33 |
+
tar -xzvf filelist_part_ac.tar.gz -C data/
|
34 |
+
tar -xzvf filelist_part_ad.tar.gz -C data/
|
35 |
+
tar -xzvf filelist_part_ae.tar.gz -C data/
|
36 |
+
```
|
37 |
+
|
38 |
+
This will extract the CSV files to the `data/` directory.
|
39 |
+
|
40 |
+
### 2. Load the CSV Files
|
41 |
+
Use Pandas or other data processing tools to load the CSV files. Here is an example of how to load and concatenate all CSV files into a single DataFrame:
|
42 |
+
|
43 |
+
|
44 |
+
3. **Access AceMap Website**: For more detailed information about each paper, visit the [AceMap](https://acemap.info/) website by concatenating the following example strings:
|
45 |
+
```python
|
46 |
+
url = https://acemap.info/papers/' + 'ZEJBRkNDRTg3RDk'
|
47 |
+
```
|
48 |
+
|
49 |
+
## Citation
|
50 |
+
If you use this dataset, please cite the following publication:
|
51 |
+
```
|
52 |
+
@article{wang2024acemap,
|
53 |
+
title={AceMap: Knowledge discovery through academic graph},
|
54 |
+
author={Wang, Xinbing and Fu, Luoyi and Gan, Xiaoying and Wen, Ying and Zheng, Guanjie and Ding, Jiaxin and Xiang, Liyao and Ye, Nanyang and Jin, Meng and Liang, Shiyu and others},
|
55 |
+
journal={arXiv preprint arXiv:2403.02576},
|
56 |
+
year={2024}
|
57 |
+
}
|
58 |
+
```
|
59 |
+
|
60 |
+
## Contact
|
61 |
+
For any questions or further assistance, please contact email [email protected].
|
62 |
+
```
|
63 |
+
|