PTEB Leaderboard

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PTEB Leaderboard is a Data & Analytics tool that evaluates Persian text embedding models. It allows users to browse and submit models for performance comparison on various NLP tasks.

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Pricing

Likely Free

Free tier

Yes

API

Skill level

Technical

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About

What is PTEB Leaderboard?

The PTEB Leaderboard is a dedicated platform for the evaluation and comparison of Persian text embedding models. Hosted on Hugging Face Spaces by PartAI, it provides a comprehensive overview of model performance across different Natural Language Processing (NLP) tasks. Users can browse existing models, review their metrics, and submit their own models for evaluation. This initiative aims to track progress in Persian language processing, identify state-of-the-art models, and foster development within the community. The platform facilitates a transparent and standardized way to benchmark models, making it a valuable resource for researchers and developers working with Persian text.

Best used for

Ideal for data scientists who need to evaluate the performance of Persian text embedding models, compare different models on various NLP tasks, and contribute their own models to a public benchmark. Especially valuable for researchers and developers focused on advancing Persian language processing.

Common actions

evaluate AI models

benchmark NLP models

compare text embeddings

submit AI models

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Capabilities

Key features

Evaluate Persian embedding models
Submit models for evaluation
Browse model leaderboard
Compare NLP task performance

Target Audience

data scientist

Integrations

Not yet documented

Pricing & Plans

Likely Free

Free

FAQs

What kind of models can be submitted to the PTEB Leaderboard?

The PTEB Leaderboard is specifically designed for Persian text embedding models. Users can submit their own models for evaluation to see how they perform against others on various Natural Language Processing tasks relevant to the Persian language.

How can I submit my model for evaluation on the leaderboard?

To submit your model, you need to provide model details and contact information through the platform. The process involves sharing the necessary information for PartAI to evaluate your model's performance and add it to the leaderboard.

What kind of performance metrics are tracked on the leaderboard?

The leaderboard tracks the performance of Persian text embedding models across a variety of NLP tasks. While specific metrics are not detailed, the goal is to provide a comprehensive comparison of model effectiveness in Persian language processing.

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