https://github.com/neelshah18/arxivdata
Dataset of arxiv
https://github.com/neelshah18/arxivdata
artificial-intelligence computer-vision data-science deep-learning machine-learning nuralnetwork offline online paper search-engine
Last synced: 10 months ago
JSON representation
Dataset of arxiv
- Host: GitHub
- URL: https://github.com/neelshah18/arxivdata
- Owner: NeelShah18
- License: gpl-3.0
- Created: 2018-03-24T02:47:18.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2018-03-24T15:31:22.000Z (about 8 years ago)
- Last Synced: 2025-03-23T12:18:15.891Z (about 1 year ago)
- Topics: artificial-intelligence, computer-vision, data-science, deep-learning, machine-learning, nuralnetwork, offline, online, paper, search-engine
- Language: Python
- Size: 17.6 MB
- Stars: 2
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# arxivData
This project is aim to help researchers in field of data analysis, machine learning and deep learning. arxivData is file contains all the name of paper, authors, summary, publish data, title and pdf link for download.
You can use this tool to search top papers from the field, You can also search for papers based on the topic you need. It makes easy to search for specific paper instead of just goto scholar and search random papers.
Strucutre of the data:
```
{
"author": "[{'name': 'X'}, {'name': 'Y'}]",
"day": x,
"id": "xxx.xxxxxx",
"link": "[{'rel': 'alternate', 'href': 'http://arxiv.org/abs/xxxx.xxxxx', 'type': 'text/html'}, {'rel': 'related', 'href': 'http://arxiv.org/pdf/xxxx.xxxxxx', 'type': 'application/pdf', 'title': 'pdf'}]",
"month": x,
"summary": "etc......",
"tag": "[{'term': 'cs.AI', 'scheme': 'http://arxiv.org/schemas/atom', 'label': None}, {'term': 'cs.CL', 'scheme': 'http://arxiv.org/schemas/atom', 'label': None}, {'term': 'cs.CV', 'scheme': 'http://arxiv.org/schemas/atom', 'label': None}, {'term': 'cs.NE', 'scheme': 'http://arxiv.org/schemas/atom', 'label': None}, {'term': 'stat.ML', 'scheme': 'http://arxiv.org/schemas/atom', 'label': None}]",
"title": "XXXX...",
"year": 2018
}
```
This will be avilable for both offline and online use. It is avilable right now as offline. You can download the library and search it.
If you have any suggetion please let us know.
Name: Neel Shah
Email: neelknightme@gmail.com
website: https://neelshah18.github.io/