Un directorio curado de conjuntos de datos de código abierto y alta calidad para IA y aprendizaje automático. Descubra el estándar de oro de los datos para entrenar sus modelos en visión por computadora, PNL y más.
ModelScope es una comunidad y plataforma de modelos de IA de código abierto que ofrece una vasta biblioteca de modelos y conjuntos de datos. Proporciona un ecosistema de "Modelo como Servicio" (MaaS) con herramientas para un fácil entrenamiento, inferencia y desarrollo de aplicaciones, respaldado por recursos informáticos gratuitos.
Resumen del producto
dataset.gold Resumen del producto
Un directorio curado de conjuntos de datos de código abierto y alta calidad para IA y aprendizaje automático. Descubra el estándar de oro de los datos para entrenar sus modelos en visión por computadora, PNL y más.
ModelScope Resumen del producto
ModelScope es una comunidad y plataforma de modelos de IA de código abierto que ofrece una vasta biblioteca de modelos y conjuntos de datos. Proporciona un ecosistema de "Modelo como Servicio" (MaaS) con herramientas para un fácil entrenamiento, inferencia y desarrollo de aplicaciones, respaldado por recursos informáticos gratuitos.
Detailed feature comparison
| Feature | dataset.gold | ModelScope |
|---|---|---|
| Categoría principal | Conjuntos de datos | Hub de Modelos |
| Añadido | 2025-08-04 | 2025-08-03 |
| Precio | Gratis | Freemium |
| Sitio oficial | dataset.gold | modelscope.cn |
| Tipo de producto | Sitio web | Sitio web |
| Performance data | ||
| Valoración | Sin verificar | Sin verificar |
| Comentarios | 0 | 0 |
| Visitas mensuales | 3.4K | 2.9M |
| Crecimiento mensual | Sin verificar | -26.3% |
| Favoritos | 118 | 114 |
| Details | Ver detalles | Ver detalles |
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
ModelScope monthly traffic:
Latest traffic
Monthly traffic trend
- 2026/1: 2.8M Visitas mensuales
- 2026/2: 2.6M Visitas mensuales
- 2026/3: 3.5M Visitas mensuales
- 2026/4: 4M Visitas mensuales
- 2026/5: 2.9M Visitas mensuales
Regiones principales
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇨🇳China | 88.58% | 2.6M |
| 🇺🇸United States | 4.98% | 145.7K |
| 🇭🇰Hong Kong | 4.52% | 132.2K |
| 🇹🇼Taiwan | 1.19% | 34.8K |
| 🇸🇬Singapore | 0.73% | 21.4K |
Fuentes de tráfico
| Source type | Percentage | Traffic |
|---|---|---|
| Directo | 83.92% | 2.5M |
| Referido | 16% | 468.1K |
| Correo electrónico | 0.08% | 2.3K |
Palabras clave
Usage comparison
Compare the core capabilities of dataset.gold and ModelScope
dataset.gold Core features
ModelScope Core features
Use cases
dataset.gold Use cases
ModelScope Use cases
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 “Conjuntos de datos”, while ModelScope is primarily listed under “Hub de Modelos”, 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: Conjuntos de datos; ModelScope: Hub de Modelos); 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: Investigación; shared tags: visión artificial, NLP y Código Abierto. 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 Conjuntos de datos, Aprendizaje Automático, Entrenamiento de IA, Recopilación de datos, ciencia de datos, Conjunto de datos, Herramientas para desarrolladores y aprendizaje automático; ModelScope's are Hub de Modelos, Low-Code No-Code, Comunidad de IA, Desarrollo de IA, Alibaba, Ajuste fino, Grandes modelos de lenguaje y 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 “Conjuntos de datos” and especially Conjuntos de datos, Aprendizaje Automático, Entrenamiento de IA, Recopilación de datos, ciencia de datos y Conjunto de datos. 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 “Hub de Modelos” and especially Hub de Modelos, Low-Code No-Code, Comunidad de IA, Desarrollo de IA, Alibaba y Ajuste fino. 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.




