pietrolesci/pythia-memorisation-profiles
收藏Hugging Face2024-07-15 更新2024-07-22 收录
下载链接：
https://hf-mirror.com/datasets/pietrolesci/pythia-memorisation-profiles
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资源简介：
该数据集是一个包含不同配置的数据集，每个配置包含群体编号、基础期、时间、效应值、标准误差、置信区间下限、置信区间上限、是否包含零值、模型大小和统计量等特征。数据集分为序列惊讶度、序列熵、平均排名和标记准确度四个部分，每个部分包含不同的数据示例和字节数。
The dataset consists of different configurations, each containing features such as cohort, base period, time, effect size (ATT), standard error, lower bound of confidence interval, upper bound of confidence interval, whether zero is included, model size, and statistic. The dataset is divided into four parts: sequence surprisal, sequence entropy, average rank, and token accuracy, each with different numbers of data examples and byte sizes.
提供机构：
pietrolesci
原始信息汇总
数据集概述
数据集配置
配置名称：aggregation_cohort
- 特征：
- cohort: int64
- base_period: int64
- time: int64
- ATT: float64
- std_error: float64
- lower: float64
- upper: float64
- zero_not_in_cband: string
- model_size: string
- stat: string
- 分割：
- sequence_surprisal: 12846809 bytes, 143143 examples
- sequence_entropy: 10756208 bytes, 122694 examples
- average_rank: 10266943 bytes, 122694 examples
- token_accuracy: 12270334 bytes, 143143 examples
- 下载大小：21917713 bytes
- 数据集大小：46140294 bytes
配置名称：aggregation_event
- 特征：
- cohort: int64
- base_period: int64
- time: int64
- ATT: float64
- std_error: float64
- lower: float64
- upper: float64
- zero_not_in_cband: string
- model_size: string
- stat: string
- 分割：
- sequence_surprisal: 12846809 bytes, 143143 examples
- sequence_entropy: 10756208 bytes, 122694 examples
- average_rank: 10266943 bytes, 122694 examples
- token_accuracy: 12270334 bytes, 143143 examples
- 下载大小：21917713 bytes
- 数据集大小：46140294 bytes
配置名称：aggregation_time
- 特征：
- cohort: int64
- base_period: int64
- time: int64
- ATT: float64
- std_error: float64
- lower: float64
- upper: float64
- zero_not_in_cband: string
- model_size: string
- stat: string
- 分割：
- sequence_surprisal: 12846809 bytes, 143143 examples
- sequence_entropy: 10756208 bytes, 122694 examples
- average_rank: 10266943 bytes, 122694 examples
- token_accuracy: 12270334 bytes, 143143 examples
- 下载大小：21917713 bytes
- 数据集大小：46140294 bytes
配置名称：default
- 特征：
- cohort: int64
- base_period: int64
- time: int64
- ATT: float64
- std_error: float64
- lower: float64
- upper: float64
- zero_not_in_cband: string
- model_size: string
- stat: string
- 分割：
- sequence_surprisal: 12846809 bytes, 143143 examples
- sequence_entropy: 10756208 bytes, 122694 examples
- average_rank: 10266943 bytes, 122694 examples
- token_accuracy: 12270334 bytes, 143143 examples
- 下载大小：21917713 bytes
- 数据集大小：46140294 bytes
数据文件路径
配置名称：aggregation_cohort
- sequence_surprisal: aggregation_cohort/sequence_surprisal-*
- sequence_entropy: aggregation_cohort/sequence_entropy-*
- average_rank: aggregation_cohort/average_rank-*
- token_accuracy: aggregation_cohort/token_accuracy-*
配置名称：aggregation_event
- sequence_surprisal: aggregation_event/sequence_surprisal-*
- sequence_entropy: aggregation_event/sequence_entropy-*
- average_rank: aggregation_event/average_rank-*
- token_accuracy: aggregation_event/token_accuracy-*
配置名称：aggregation_time
- sequence_surprisal: aggregation_time/sequence_surprisal-*
- sequence_entropy: aggregation_time/sequence_entropy-*
- average_rank: aggregation_time/average_rank-*
- token_accuracy: aggregation_time/token_accuracy-*
配置名称：default
- sequence_surprisal: data/sequence_surprisal-*
- sequence_entropy: data/sequence_entropy-*
- average_rank: data/average_rank-*
- token_accuracy: data/token_accuracy-*
