ai4bharat/intel
INTEL Dataset Overview The INTEL Dataset is a multilingual training dataset introduced as part of the Cross Lingual Auto Evaluation (CIA) Suite. It is designed to train evaluator large language models (LLMs) to assess machine-generated text in low-resource and multilingual settings. INTEL leverages automated translation to create a diverse corpus for evaluating responses in six languages—Bengali, German, French, Hindi, Telugu, and Urdu—while maintaining reference… See the full description on the dataset page: https://huggingface.co/datasets/ai4bharat/intel.
| Author / organization | ai4bharat |
|---|---|
| Downloads | 214 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 8 September 2024 |
| Last updated at source | 15 December 2024 |
Recent changes
- 16 Oct 2026 Description: INTEL Dataset Overview The INTEL Dataset is a multilingual training dataset introduced as part of the Cross Lingual Auto Evaluation (CIA) Suite. It is designed to train evaluator large language models (LLMs) to assess machine-generated text → INTEL Dataset Overview The INTEL Dataset is a multilingual training dataset introduced as part of the Cross Lingual Auto Evaluation (CIA) Suite. It is designed to train evaluator large language models (LLMs) to assess machine-generated text
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