Machine Learning Datasets: Recommended Open Source Training Data Sources

When datasets meet proxy IP: Old drivers teach you the right posture for digging for treasure

Anyone who is involved in machine learning knows that finding data is harder than finding a date. Public datasets are either too old or in strange formats, and when you find a suitable one, the download speed is as slow as a snail. This is when you need toproxy IPThis artifact comes to the rescue, especially with the likes ofipipgoThis kind of professional service provider allows you to collect data like it's on.

List of essential tools for data miners

Here we recommend a few good test open source platform, with the proxy IP better:

Practical demo: batch download with ipipgo proxy

Take grabbing weather data as an example to demonstrate how to automate collection with Python + proxy IP:

import requests
from itertools import cycle

 Proxy pool provided by ipipgo (example configuration)
proxies = [
    "http://user:pass@gateway.ipipgo.com:30001",
    "http://user:pass@gateway.ipipgo.com:30002"
]
proxy_pool = cycle(proxies)

for page in range(1, 101)::
    try: proxy = next(proxy_pool).
        proxy = next(proxy_pool)
        response = requests.get(
            f "https://weather-api.com/data?page={page}",
            proxies={"http": proxy}, timeout=10
            timeout=10
        )
         Processing data logic...
    except Exception as e.
        print(f "Failed to capture page {page}, switching IPs automatically")

Be careful to chooseipipgo's High Stash Proxy PackageThis kind of proxy will hide your real IP so tightly that the website can't tell if it's a machine or a real person operating it.

Guidelines for demining common pitfalls

Q: Why is it still blocked after using a proxy?
A: It may be that the quality of the proxy is not passable, it is recommended to use ipipgo'sDynamic Residential AgentsIPs are short-lived but large in number, making them more difficult to identify than data center proxies.

Q: What if I need to collect data from different regions?
A: ipipgo supportCity-level location agentsFor example, if you want to collect meteorological data in Shanghai, you can directly use the local exit IP of Shanghai to get more accurate data.

The doorway to choosing a proxy service

Agency services on the market are a mixed bag, and these three indicators must be dead on:

1. IP purity: it is recommended to choose a band like ipipgoReal-time detection systemsservice provider
2. Response speed: average latency below 800ms for smooth acquisition
3. Protocol support: at least SOCKS5 and HTTPS protocols should be supported

Finally, don't use free proxies on the cheap. If it's easy, the data will be leaked, if it's hard, the whole project will be overturned. New users like ipipgo are having5G Traffic Trial Pack, enough to test whether the data collection program is reliable.