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when2rl/OpenHermesPreferences_reformatted

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Hugging Face2024-04-17 更新2024-06-12 收录
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https://hf-mirror.com/datasets/when2rl/OpenHermesPreferences_reformatted
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--- 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: candidate_policies sequence: string - name: candidates_completions sequence: string - name: category dtype: string - name: chosen_policy dtype: string - name: chosen_rank dtype: int64 - name: rank_str dtype: string - name: ranks sequence: int64 - name: rejected_policy dtype: string - name: rejected_rank dtype: int64 - name: source dtype: string splits: - name: train num_bytes: 9039102268.48677 num_examples: 985186 download_size: 4418340168 dataset_size: 9039102268.48677 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for OpenHermesPreferences_reformatted <!-- Provide a quick summary of the dataset. --> This is a reformatted version of argilla's OpenHermesPreference: 1. reformatted the daatset to be consistent with ultrafeedback_binarized. 2. *(new)* removed all rows where the `chosen` is the same as `rejected`. This removed 4214 rows from the training set. Note that the `score_chosen` and `score_rejected` are dummy scores, since the original dataset did not provide any scoring. ## Dataset Details ### Dataset Description <!-- Provide a longer summary of what this dataset is. --> - **Curated by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] ### Dataset Sources [optional] <!-- Provide the basic links for the dataset. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the dataset is intended to be used. --> ### Direct Use <!-- This section describes suitable use cases for the dataset. --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> [More Information Needed] ## Dataset Structure <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> [More Information Needed] ## Dataset Creation ### Curation Rationale <!-- Motivation for the creation of this dataset. --> [More Information Needed] ### Source Data <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> #### Data Collection and Processing <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> [More Information Needed] #### Who are the source data producers? <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. --> [More Information Needed] ### Annotations [optional] <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. --> #### Annotation process <!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. --> [More Information Needed] #### Who are the annotators? <!-- This section describes the people or systems who created the annotations. --> [More Information Needed] #### Personal and Sensitive Information <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional] <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]
提供机构:
when2rl
原始信息汇总

数据集概述

数据集名称

  • 名称: OpenHermesPreferences_reformatted

数据集修改信息

  • 修改内容:
    • 格式化数据集以与ultrafeedback_binarized保持一致。
    • 移除所有chosenrejected相同的行,共移除4214行。

数据集特征

  • 特征列表:
    • prompt: 字符串类型
    • prompt_id: 字符串类型
    • chosen: 列表类型,包含contentrole,均为字符串类型
    • rejected: 列表类型,包含contentrole,均为字符串类型
    • messages: 列表类型,包含contentrole,均为字符串类型
    • score_chosen: 浮点数类型
    • score_rejected: 浮点数类型
    • other_info: 结构类型,包含多个字段如candidate_policies, candidates_completions, category, chosen_policy, chosen_rank, rank_str, ranks, rejected_policy, rejected_rank, source等,类型包括字符串、整数和序列。

数据集大小

  • 下载大小: 4418340168字节
  • 数据集大小: 9039102268.48677字节

数据集分割

  • 分割信息:
    • train: 985186个示例,大小为9039102268.48677字节

数据集配置

  • 配置名称: default
  • 数据文件:
    • train: 路径为data/train-*
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