| dataset_info: | |
| features: | |
| - name: type | |
| dtype: string | |
| - name: messages | |
| dtype: string | |
| - name: answer | |
| dtype: string | |
| - name: answer_english | |
| dtype: string | |
| - name: lang | |
| dtype: string | |
| - name: hi_answer | |
| dtype: string | |
| - name: mt_question | |
| sequence: string | |
| splits: | |
| - name: train | |
| num_bytes: 756440 | |
| num_examples: 734 | |
| download_size: 219666 | |
| dataset_size: 756440 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train-* | |
| Evaluation on hindi and english prompts borrowed from teknimum, airoboros, https://huggingface.co/datasets/HuggingFaceH4/mt_bench_prompts, https://huggingface.co/datasets/ai4bharat/human-eval and other sources | |
| Mainly used to evalaution on written tasks through LLM JUDGE | |
| https://github.com/lm-sys/FastChat/blob/main/fastchat/llm_judge/README.md | |