self-long/RULER-llama3-1M
RULER-Llama3-1M A 1M token version of the RULER dataset based on the Llama-3 chat template. It is automatically generated based on the scripts available in the RULER repository: https://github.com/NVIDIA/RULER. It is designed for evaluating the performance of Long Language Models (LLMs) on various tasks with varying sequence lengths. How to Use from datasets import load_dataset LENGTH_IN_STRING = ['4k', '8k', '16k', '32k', '64k', '128k', '256k', '512k', '1M']… See the full description on the dataset page: https://huggingface.co/datasets/self-long/RULER-llama3-1M.
| Author / organization | self-long |
|---|---|
| License (as declared) | mit |
| Downloads | 430 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 17 March 2025 |
| Last updated at source | 17 March 2025 |
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- 17 Oct 2026 Description: RULER-Llama3-1M A 1M token version of the RULER dataset based on the Llama-3 chat template. It is automatically generated based on the scripts available in the RULER repository: https://github.com/NVIDIA/RULER. It is designed for evaluating → RULER-Llama3-1M A 1M token version of the RULER dataset based on the Llama-3 chat template. It is automatically generated based on the scripts available in the RULER repository: https://github.com/NVIDIA/RULER. It is designed for evaluating
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