DAP

1
license:mit
by
Insta360-Research
Other
OTHER
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Quick Summary

AI model with specialized capabilities.

Training Data Analysis

🔵 Good (6.0/10)

Researched training datasets used by DAP with quality assessment

Specialized For

general
multilingual

Training Datasets (1)

c4
🔵 6/10
general
multilingual
Key Strengths
  • •Scale and Accessibility: 750GB of publicly available, filtered text
  • •Systematic Filtering: Documented heuristics enable reproducibility
  • •Language Diversity: Despite English-only, captures diverse writing styles
Considerations
  • •English-Only: Limits multilingual applications
  • •Filtering Limitations: Offensive content and low-quality text remain despite filtering

Explore our comprehensive training dataset analysis

View All Datasets

Code Examples

🔨 Installationbash
git clone https://github.com/Insta360-Research-Team/DAP
cd DAP
🔨 Installationbash
conda create -n dap python=3.12
conda activate dap
pytorch (select correct CUDA version, we test our code on torch==2.7.1 and torchvision==0.22.1)bash
# pytorch (select correct CUDA version, we test our code on torch==2.7.1 and torchvision==0.22.1)
pip install torch==2.7.1 torchvision==0.22.1

# other dependencies
pip install -r requirements.txt

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