so101_act_policy_v5

3
imitation-learning
by
abdul004
Other
OTHER
New
3 downloads
Early-stage
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Quick Summary

AI model with specialized capabilities.

Training Data Analysis

🔵 Good (6.0/10)

Researched training datasets used by so101_act_policy_v5 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

Sample Evaluationpython
from lerobot.common.policies.act.modeling_act import ACTPolicy

# Load policy
policy = ACTPolicy.from_pretrained("abdul004/so101_act_policy_v5")

# Run inference
action = policy.select_action(observation)

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