when2rl/mt_bench_human_judgments_reformatted

---
dataset_info:
features:
- name: prompt
dtype: string
- name: prompt_id
dtype: string
- name: chosen
list:
- name: content
dtype: string
- name: role
dtype: string
- name: rejected
list:
- name: content
dtype: string
- name: role
dtype: string
- name: messages
list:
- name: content
dtype: string
- name: role
dtype: string
- name: score_chosen
dtype: float64
- name: score_rejected
dtype: float64
- name: other_info
struct:
- name: judge
dtype: string
- name: model_a
dtype: string
- name: model_b
dtype: string
- name: question_id
dtype: int64
- name: winner
dtype: string
splits:
- name: train_human
num_bytes: 12237070
num_examples: 2129
- name: test_human
num_bytes: 12237070
num_examples: 2129
- name: train_gpt4_pair
num_bytes: 13750311
num_examples: 2353
- name: test_gpt4_pair
num_bytes: 13750311
num_examples: 2353
download_size: 4334198
dataset_size: 51974762
configs:
- config_name: default
data_files:
- split: train_human
path: data/train_human-*
- split: test_human
path: data/test_human-*
- split: train_gpt4_pair
path: data/train_gpt4_pair-*
- split: test_gpt4_pair
path: data/test_gpt4_pair-*
---

# Dataset Card for when2rl/mt_bench_human_judgments_reformatted

<!-- Provide a quick summary of the dataset. -->

Reformatted and deduped (e.g., alpaca13b vs gpt4 may have the same answer pair as alpaca13b vs gpt-3.5-turbo for some questions) from `lmsys/mt_bench_human_judgments`. This can be used as a quick evaluation metric to "measure" MT-bench performance during training.

Note the split names are converted to `train_` and `test_`. Although the `train_` splits will NOT be used to train anything, this split name makes some data processing/scripts easier.

## Dataset Details

### Dataset Description

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### Direct Use

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## Dataset Structure

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## Dataset Creation

### Curation Rationale

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### Source Data

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#### Data Collection and Processing

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原始信息汇总

数据集概述

数据集名称

when2rl/mt_bench_human_judgments_reformatted

数据集特征

• prompt (字符串)
• prompt_id (字符串)
• chosen (列表)
  • content (字符串)
  • role (字符串)
• rejected (列表)
  • content (字符串)
  • role (字符串)
• messages (列表)
  • content (字符串)
  • role (字符串)
• score_chosen (浮点数)
• score_rejected (浮点数)
• other_info (结构体)
  • judge (字符串)
  • model_a (字符串)
  • model_b (字符串)
  • question_id (整数)
  • winner (字符串)

数据集分割

• train_human
  • num_bytes: 12237070
  • num_examples: 2129
• test_human
  • num_bytes: 12237070
  • num_examples: 2129
• train_gpt4_pair
  • num_bytes: 13750311
  • num_examples: 2353
• test_gpt4_pair
  • num_bytes: 13750311
  • num_examples: 2353

数据集大小

• download_size: 4334198
• dataset_size: 51974762

配置

• config_name: default
• data_files:
  • split: train_human, test_human, train_gpt4_pair, test_gpt4_pair
  • path: data/train_human-, data/test_human-, data/train_gpt4_pair-, data/test_gpt4_pair-