size_categories:n<1K format:parquet modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
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

