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dataset.gold
Datasets · 3.4K monthly visits

A curated directory of high-quality, open-source datasets for AI and machine learning. Discover the gold standard of data for training your models in computer vision, NLP, and more.

VS
ModelScope
Model Hub · 2.9M monthly visits

ModelScope is an open-source AI model community and platform, offering a vast library of models and datasets. It provides a "Model-as-a-Service" (MaaS) ecosystem with tools for easy model training, inference, and application development, supported by free computing resources.

dataset.gold vs ModelScope: pricing, features, traffic, and use cases

Compare dataset.gold and ModelScope across positioning, pricing, traffic, and user feedback using structured factual data.

Updated Aug 5, 2026

Product overview

dataset.gold Product overview

A curated directory of high-quality, open-source datasets for AI and machine learning. Discover the gold standard of data for training your models in computer vision, NLP, and more.

Preview

ModelScope Product overview

ModelScope is an open-source AI model community and platform, offering a vast library of models and datasets. It provides a "Model-as-a-Service" (MaaS) ecosystem with tools for easy model training, inference, and application development, supported by free computing resources.

Preview

Detailed feature comparison

Featuredataset.goldModelScope
Primary categoryDatasetsModel Hub
Added2025-08-042025-08-03
PricingFreeFreemium
Official websitedataset.goldmodelscope.cn
Product typeWebsiteWebsite
Performance data
User ratingNot verifiedNot verified
Comments00
Monthly visits3.4K2.9M
Monthly growthNot verified-26.3%
Favorites118114
DetailsView detailsView details

dataset.gold vs ModelScope monthly traffic

Compare dataset.gold and ModelScope by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.

How to interpret the traffic data

In the dataset.gold vs ModelScope monthly traffic comparison, dataset.gold currently shows 3.4K visits and ModelScope shows 2.9M; ModelScope has about 862.8 times the visible traffic of dataset.gold, an absolute difference of about 2.9M visits. This reflects visible reach, not feature quality or paid users.

Only ModelScope has complete third-party traffic details; dataset.gold uses visits recorded inside ToolMage. These scopes cannot estimate market share directly, and on-site views should not be treated as the product’s total website traffic.

ModelScope is registered at the modelscope.cn/home subpage. Because the current data does not state whether other host pages are excluded, treat this as domain-level context rather than independent traffic for one product or project.

dataset.gold monthly traffic:

Latest traffic

Monthly visits
3.4K

ModelScope monthly traffic:

Latest traffic

Monthly visits
2.9M
Avg. visit duration
4:55
Pages per visit
6.81
Bounce rate
35.01%
Data updated 2026-06-15

Monthly traffic trend

  • 2026/1: 2.8M Monthly visits
  • 2026/2: 2.6M Monthly visits
  • 2026/3: 3.5M Monthly visits
  • 2026/4: 4M Monthly visits
  • 2026/5: 2.9M Monthly visits

Top regions

Top 5 countries/regions
Country/regionPercentageTraffic
🇨🇳China88.58%2.6M
🇺🇸United States4.98%145.7K
🇭🇰Hong Kong4.52%132.2K
🇹🇼Taiwan1.19%34.8K
🇸🇬Singapore0.73%21.4K

Traffic sources

Source typePercentageTraffic
Direct83.92%2.5M
Referral16%468.1K
Email0.08%2.3K

Search keywords

modelscope魔塔魔塔社区魔搭魔搭社区
Traffic-based selection guidance: ModelScope is registered under a modelscope.cn subpath, so its large visible total may include the host platform. The current data does not justify choosing ModelScope for traffic alone; shortlist by unique taxonomy and use case, then validate with the same tasks.

Usage comparison

Compare the core capabilities of dataset.gold and ModelScope

dataset.gold Core features

Research
Datasets
Machine Learning

ModelScope Core features

Research
Model Hub
Low Code No Code

Use cases

dataset.gold Use cases

computer vision
NLP
open source
AI training
data collection
data science
dataset
developer tools
machine learning
research

ModelScope Use cases

computer vision
NLP
open source
AI community
AI development
alibaba
fine-tuning
large language models
MaaS
model library

dataset.gold vs ModelScope:In-depth comparison and selection guidance

First decide whether the products solve the same kind of need

This in-depth dataset.gold vs ModelScope comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. dataset.gold is primarily listed under “Datasets”, while ModelScope is primarily listed under “Model Hub”, so the first decision is whether your actual task matches their recorded scope.

The structured fields currently show these decision-relevant differences: Primary category (dataset.gold: Datasets; ModelScope: Model Hub); Pricing (dataset.gold: Free; ModelScope: Freemium); Monthly visits (dataset.gold: 3.4K; ModelScope: 2.9M); Favorites (dataset.gold: 118; ModelScope: 114); Website (dataset.gold: dataset.gold; ModelScope: modelscope.cn). These facts are more useful for selection than brand visibility alone.

What market visibility and monthly traffic mean

In the dataset.gold vs ModelScope monthly traffic comparison, dataset.gold currently shows 3.4K visits and ModelScope shows 2.9M; ModelScope has about 862.8 times the visible traffic of dataset.gold, an absolute difference of about 2.9M visits. This reflects visible reach, not feature quality or paid users.

Only ModelScope has complete third-party traffic details; dataset.gold uses visits recorded inside ToolMage. These scopes cannot estimate market share directly, and on-site views should not be treated as the product’s total website traffic.

ModelScope is registered at the modelscope.cn/home subpage. Because the current data does not state whether other host pages are excluded, treat this as domain-level context rather than independent traffic for one product or project.

ModelScope is registered under a modelscope.cn subpath, so its large visible total may include the host platform. The current data does not justify choosing ModelScope for traffic alone; shortlist by unique taxonomy and use case, then validate with the same tasks.

Product positioning, use cases, and roles

dataset.gold and ModelScope currently overlap in shared categories: Research; shared tags: computer vision, NLP, and open source. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.

dataset.gold's unique categories/tags are Datasets, Machine Learning, AI training, data collection, data science, dataset, developer tools, and machine learning; ModelScope's are Model Hub, Low Code No Code, AI community, AI development, alibaba, fine-tuning, large language models, and MaaS. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.

What ratings, comments, and favorites can tell you

dataset.gold has no verified rating, 0 comments, 118 favorites, and 114 likes;ModelScope has no verified rating, 0 comments, 114 favorites, and 118 likes。

Neither product has enough rating or comment samples for a credible reputation ranking.

Selection guidance by actual need

When to evaluate dataset.gold first

Put dataset.gold on the priority trial list when the task aligns with “Datasets” and especially Datasets, Machine Learning, AI training, data collection, data science, and dataset. This follows recorded positioning and does not imply unlisted capabilities are absent.

dataset.gold also currently records: pricing is free, product type is website, 3.4K on-site monthly views, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.

When to evaluate ModelScope first

Put ModelScope on the priority trial list when the task aligns with “Model Hub” and especially Model Hub, Low Code No Code, AI community, AI development, alibaba, and fine-tuning. This follows recorded positioning and does not imply unlisted capabilities are absent.

ModelScope also currently records: pricing is freemium, product type is website, 2.9M monthly visits shown for the registered host (subpage scope unknown), no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.

How to validate the recommendation before deciding

The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in dataset.gold and ModelScope, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.

Comparison FAQ

How should I choose between dataset.gold and ModelScope?
Compare positioning, pricing, taxonomy, and traffic maturity, then verify the latest details on each official website.
Where does this comparison data come from?
The factual baseline is derived from product, taxonomy, traffic, and community data. Reviewed editorial conclusions show their source and verification date.
What do unknown fields mean?
Unknown means there is not enough reliable evidence; the page does not fill gaps with assumptions.

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