Datasets:

---

opendatalab

/

AICC

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OpenDataLab 583

📋 Documentation Enhancement Suggestion

This observation was generated by Crovia — the AI transparency observation layer.

Crovia does not accuse or judge. It observes publicly available information and suggests improvements.

📊 Quick Stats

💻 Ready-to-Use Code

from datasets import load_dataset

dataset = load_dataset("opendatalab/AICC")
print(dataset)

# Access splits
train = dataset["train"]
print(f"Training samples: {len(train)}")

📚 Citation

If you use this model, please cite:

@misc {opendatalab_AICC_2026,
  author = {opendatalab},
  title = {opendatalab/AICC},
  year = {2026},
  url = {https://huggingface.co/datasets/opendatalab/AICC},
  note = {Accessed via CROVIA transparency registry}
}

⚖️ EU AI Act Compliance Checklist

• Training data disclosed
• License clearly stated
• Intended use documented
• Model limitations documented
• Evaluation metrics provided
• Bias/fairness analysis

🔍 Training Data Transparency

Training Data Status: ⚠️ Partial

A training section exists but specific datasets are not enumerated.

Recommendation: Add explicit dataset names and versions for full transparency.

Enhancement generated by CROVIA · Package ID: 0bc753750c5d
Generated at: 2026-02-13T17:06:26.596255Z

This suggestion was generated by Crovia — the AI transparency observation layer.

Crovia does not accuse or judge. It observes publicly available information and suggests documentation improvements.

If this suggestion is helpful, consider adding the recommended sections to your model card.
If not applicable, feel free to close this discussion.

Learn more: croviatrust.com · What is Crovia?