TITLE = 'Open Multilingual LLM Evaluation Leaderboard (Dutch only)
'
INTRO_TEXT = f"""
## About
This is a fork of the [Open Multilingual LLM Evaluation Leaderboard](https://huggingface.co/spaces/uonlp/open_multilingual_llm_leaderboard), but restricted to only Dutch models and augmented with additional model results.
We test the models on the following benchmarks **for the Dutch version only!!**, which have been translated into Dutch automatically by the original authors of the Open Multilingual LLM Evaluation Leaderboard with `gpt-35-turbo`.
- AI2 Reasoning Challenge (25-shot)
- HellaSwag (10-shot)
- MMLU (5-shot)
- TruthfulQA (0-shot)
I do not maintain those datasets, I only run benchmarks and add the results to this space. For questions regarding the test sets or running them yourself, see [the original Github repository](https://github.com/laiviet/lm-evaluation-harness).
All models are benchmarked in 8-bit precision.
"""
CREDIT = f"""
## Credit
This leaderboard has borrowed heavily from the following sources:
- Datasets (AI2_ARC, HellaSwag, MMLU, TruthfulQA)
- Evaluation code (EleutherAI's lm_evaluation_harness repo)
- Leaderboard code (Huggingface4's open_llm_leaderboard repo)
- The multilingual version of the leaderboard (uonlp's open_multilingual_llm_leaderboard repo)
"""
CITATION = f"""
## Citation
If you use or cite the Dutch benchmark results or this specific leaderboard page, please cite the following paper:
TDB
If you use the multilingual benchmarks, please cite the following paper:
```bibtex
@misc{{lai2023openllmbenchmark,
author = {{Viet Lai and Nghia Trung Ngo and Amir Pouran Ben Veyseh and Franck Dernoncourt and Thien Huu Nguyen}},
title={{Open Multilingual LLM Evaluation Leaderboard}},
year={{2023}}
}}
```
"""