数据链接：
官方服务：
资源简介：
The source data for the discrete choice experiment conducted as part of WP2 Task3
应用场景：
创建时间：
2021-05-10
相关数据集
kaist-ai/Multifaceted-Collection-RM
--- dataset_info: features: - name: input dtype: string - name: chosen dtype: string - name: rejected dtype: string splits: - name: train num_bytes: 442405885 num_examp
Hugging Face2024-06-07 更新530
Jennny/randomized_ultrafeedback_prefs
该数据集包含多个字段，如prompt（提示）、prompt_id（提示ID）、chosen（选择的回答）、rejected（拒绝的回答）、messages（消息）等。每个字段都有其特定的数据类型和结构，例如chosen和rejected字段包含content（内容）和role（角色）两个子字段。数据集分为train_prefs和test_prefs两个部分，分别包含165264和6000个示例，总
Hugging Face2024-12-11 更新70
Attributes and levels of the nine choice sets for teachers.
Attributes and levels of the nine choice sets for teachers.
Figshare2026-01-16 更新30
Incentivizing adherence to gender-affirming PrEP programs: a stated preference discrete choice experiment among transgender and gender nonbinary adults
Analytic code that was used to generate findings presented in the (forthcoming, unpublished) manuscript: \"Incentivizing adherence to gender-affirming PrEP programs: a stated preference discrete choic
DataONE2024-05-22 更新110
Modelling the online helpseeking choice of socially anxious young people
Models to predict the online helpseeking choices of socially anxious young people in Australia and replication code and documentation to implement the discrete choice experiment that generated the mod
NIAID Data Ecosystem50
