five

usvsnsp/memories-semantic-memorization-filter-results

收藏
Hugging Face2023-09-20 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/usvsnsp/memories-semantic-memorization-filter-results
下载链接
链接失效反馈
官方服务:
资源简介:
--- dataset_info: features: - name: sequence_id dtype: int64 - name: text dtype: string - name: sequence_duplicates dtype: int64 - name: max_frequency dtype: int64 - name: avg_frequency dtype: float64 - name: min_frequency dtype: int64 - name: median_frequency dtype: float64 - name: p25_frequency dtype: int64 - name: p75_frequency dtype: int64 - name: frequencies sequence: int64 - name: is_incrementing dtype: bool - name: tokens sequence: int64 - name: repeating_offset dtype: int32 - name: num_repeating dtype: int32 - name: smallest_repeating_chunk sequence: int64 - name: memorization_score dtype: float64 - name: templating_frequency_0.9 dtype: int64 - name: templating_frequency_0.8 dtype: int64 - name: prompt_perplexity dtype: float32 - name: generation_perplexity dtype: float32 - name: sequence_perplexity dtype: float32 splits: - name: memories.duped.70m num_bytes: 648141277 num_examples: 463953 - name: memories.duped.160m num_bytes: 955903849 num_examples: 689673 - name: memories.duped.410m num_bytes: 1337555782 num_examples: 970341 - name: memories.duped.1b num_bytes: 1725540452 num_examples: 1256141 - name: memories.duped.1.4b num_bytes: 1884519155 num_examples: 1373722 - name: memories.duped.2.8b num_bytes: 2292743123 num_examples: 1675077 - name: memories.duped.6.9b num_bytes: 2898035658 num_examples: 2120976 - name: memories.duped.12b num_bytes: 3252649684 num_examples: 2382328 - name: memories.deduped.70m num_bytes: 576211560 num_examples: 411448 - name: memories.deduped.160m num_bytes: 809545073 num_examples: 581195 - name: memories.deduped.410m num_bytes: 1126006111 num_examples: 811039 - name: memories.deduped.1b num_bytes: 1430399436 num_examples: 1032865 - name: memories.deduped.1.4b num_bytes: 1450336662 num_examples: 1048097 - name: memories.deduped.2.8b num_bytes: 1871907415 num_examples: 1355211 - name: memories.deduped.6.9b num_bytes: 2319039796 num_examples: 1680294 - name: memories.deduped.12b num_bytes: 2581349436 num_examples: 1871216 download_size: 9223426756 dataset_size: 27159884469 --- # Dataset Card for "memories-semantic-memorization-filter-results" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
提供机构:
usvsnsp
原始信息汇总

数据集概述

特征信息

  • sequence_id: 数据类型为 int64
  • text: 数据类型为 string
  • sequence_duplicates: 数据类型为 int64
  • max_frequency: 数据类型为 int64
  • avg_frequency: 数据类型为 float64
  • min_frequency: 数据类型为 int64
  • median_frequency: 数据类型为 float64
  • p25_frequency: 数据类型为 int64
  • p75_frequency: 数据类型为 int64
  • frequencies: 数据类型为 int64 序列
  • is_incrementing: 数据类型为 bool
  • tokens: 数据类型为 int64 序列
  • repeating_offset: 数据类型为 int32
  • num_repeating: 数据类型为 int32
  • smallest_repeating_chunk: 数据类型为 int64 序列
  • memorization_score: 数据类型为 float64
  • templating_frequency_0.9: 数据类型为 int64
  • templating_frequency_0.8: 数据类型为 int64
  • prompt_perplexity: 数据类型为 float32
  • generation_perplexity: 数据类型为 float32
  • sequence_perplexity: 数据类型为 float32

数据集分割

  • memories.duped.70m: 字节数为 648141277,样本数为 463953
  • memories.duped.160m: 字节数为 955903849,样本数为 689673
  • memories.duped.410m: 字节数为 1337555782,样本数为 970341
  • memories.duped.1b: 字节数为 1725540452,样本数为 1256141
  • memories.duped.1.4b: 字节数为 1884519155,样本数为 1373722
  • memories.duped.2.8b: 字节数为 2292743123,样本数为 1675077
  • memories.duped.6.9b: 字节数为 2898035658,样本数为 2120976
  • memories.duped.12b: 字节数为 3252649684,样本数为 2382328
  • memories.deduped.70m: 字节数为 576211560,样本数为 411448
  • memories.deduped.160m: 字节数为 809545073,样本数为 581195
  • memories.deduped.410m: 字节数为 1126006111,样本数为 811039
  • memories.deduped.1b: 字节数为 1430399436,样本数为 1032865
  • memories.deduped.1.4b: 字节数为 1450336662,样本数为 1048097
  • memories.deduped.2.8b: 字节数为 1871907415,样本数为 1355211
  • memories.deduped.6.9b: 字节数为 2319039796,样本数为 1680294
  • memories.deduped.12b: 字节数为 2581349436,样本数为 1871216

数据集大小

  • 下载大小: 9223426756 字节
  • 数据集大小: 27159884469 字节
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作