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sogeeking/vqvae_token_big

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Hugging Face2023-12-05 更新2024-03-04 收录
下载链接：
https://hf-mirror.com/datasets/sogeeking/vqvae_token_big
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资源简介：
--- dataset_info: - config_name: Burgers_Sols_Nu0.001 features: - name: parameters dtype: string - name: input_ids sequence: int32 - name: attention_mask sequence: int8 - name: mean sequence: float32 - name: std sequence: float32 splits: - name: train num_bytes: 82800000 num_examples: 10000 download_size: 16936560 dataset_size: 82800000 - config_name: Burgers_Sols_Nu0.002 features: - name: parameters dtype: string - name: input_ids sequence: int32 - name: attention_mask sequence: int8 - name: mean sequence: float32 - name: std sequence: float32 splits: - name: train num_bytes: 82800000 num_examples: 10000 download_size: 16914568 dataset_size: 82800000 - config_name: Burgers_Sols_Nu0.004 features: - name: parameters dtype: string - name: input_ids sequence: int32 - name: attention_mask sequence: int8 - name: mean sequence: float32 - name: std sequence: float32 splits: - name: train num_bytes: 82800000 num_examples: 10000 download_size: 16907704 dataset_size: 82800000 - config_name: Burgers_Sols_Nu0.01 features: - name: parameters dtype: string - name: input_ids sequence: int32 - name: attention_mask sequence: int8 - name: mean sequence: float32 - name: std sequence: float32 splits: - name: train num_bytes: 82790000 num_examples: 10000 download_size: 16920292 dataset_size: 82790000 - config_name: Burgers_Sols_Nu0.02 features: - name: parameters dtype: string - name: input_ids sequence: int32 - name: attention_mask sequence: int8 - name: mean sequence: float32 - name: std sequence: float32 splits: - name: train num_bytes: 82790000 num_examples: 10000 download_size: 16932816 dataset_size: 82790000 - config_name: Burgers_Sols_Nu0.04 features: - name: parameters dtype: string - name: input_ids sequence: int32 - name: attention_mask sequence: int8 - name: mean sequence: float32 - name: std sequence: float32 splits: - name: train num_bytes: 82790000 num_examples: 10000 download_size: 16936363 dataset_size: 82790000 - config_name: Burgers_Sols_Nu0.1 features: - name: parameters dtype: string - name: input_ids sequence: int32 - name: attention_mask sequence: int8 - name: mean sequence: float32 - name: std sequence: float32 splits: - name: train num_bytes: 82780000 num_examples: 10000 download_size: 16861353 dataset_size: 82780000 - config_name: Burgers_Sols_Nu0.2 features: - name: parameters dtype: string - name: input_ids sequence: int32 - name: attention_mask sequence: int8 - name: mean sequence: float32 - name: std sequence: float32 splits: - name: train num_bytes: 82780000 num_examples: 10000 download_size: 16397471 dataset_size: 82780000 - config_name: Burgers_Sols_Nu0.4 features: - name: parameters dtype: string - name: input_ids sequence: int32 - name: attention_mask sequence: int8 - name: mean sequence: float32 - name: std sequence: float32 splits: - name: train num_bytes: 82780000 num_examples: 10000 download_size: 13875190 dataset_size: 82780000 - config_name: Burgers_Sols_Nu1.0 features: - name: parameters dtype: string - name: input_ids sequence: int32 - name: attention_mask sequence: int8 - name: mean sequence: float32 - name: std sequence: float32 splits: - name: train num_bytes: 82780000 num_examples: 10000 download_size: 8523808 dataset_size: 82780000 - config_name: Burgers_Sols_Nu2.0 features: - name: parameters dtype: string - name: input_ids sequence: int32 - name: attention_mask sequence: int8 - name: mean sequence: float32 - name: std sequence: float32 splits: - name: train num_bytes: 82780000 num_examples: 10000 download_size: 5054977 dataset_size: 82780000 - config_name: Burgers_Sols_Nu4.0 features: - name: parameters dtype: string - name: input_ids sequence: int32 - name: attention_mask sequence: int8 - name: mean sequence: float32 - name: std sequence: float32 splits: - name: train num_bytes: 82780000 num_examples: 10000 download_size: 3240425 dataset_size: 82780000 configs: - config_name: Burgers_Sols_Nu0.001 data_files: - split: train path: Burgers_Sols_Nu0.001/train-* - config_name: Burgers_Sols_Nu0.002 data_files: - split: train path: Burgers_Sols_Nu0.002/train-* - config_name: Burgers_Sols_Nu0.004 data_files: - split: train path: Burgers_Sols_Nu0.004/train-* - config_name: Burgers_Sols_Nu0.01 data_files: - split: train path: Burgers_Sols_Nu0.01/train-* - config_name: Burgers_Sols_Nu0.02 data_files: - split: train path: Burgers_Sols_Nu0.02/train-* - config_name: Burgers_Sols_Nu0.04 data_files: - split: train path: Burgers_Sols_Nu0.04/train-* - config_name: Burgers_Sols_Nu0.1 data_files: - split: train path: Burgers_Sols_Nu0.1/train-* - config_name: Burgers_Sols_Nu0.2 data_files: - split: train path: Burgers_Sols_Nu0.2/train-* - config_name: Burgers_Sols_Nu0.4 data_files: - split: train path: Burgers_Sols_Nu0.4/train-* - config_name: Burgers_Sols_Nu1.0 data_files: - split: train path: Burgers_Sols_Nu1.0/train-* - config_name: Burgers_Sols_Nu2.0 data_files: - split: train path: Burgers_Sols_Nu2.0/train-* - config_name: Burgers_Sols_Nu4.0 data_files: - split: train path: Burgers_Sols_Nu4.0/train-* ---
提供机构：
sogeeking
原始信息汇总

数据集概述

数据集配置

Burgers_Sols_Nu0.001

  • 特征:
    • parameters: 字符串
    • input_ids: 整数序列 (int32)
    • attention_mask: 整数序列 (int8)
    • mean: 浮点数序列 (float32)
    • std: 浮点数序列 (float32)
  • 分割:
    • train:
      • 字节数: 82800000
      • 样本数: 10000
  • 下载大小: 16936560
  • 数据集大小: 82800000

Burgers_Sols_Nu0.002

  • 特征:
    • parameters: 字符串
    • input_ids: 整数序列 (int32)
    • attention_mask: 整数序列 (int8)
    • mean: 浮点数序列 (float32)
    • std: 浮点数序列 (float32)
  • 分割:
    • train:
      • 字节数: 82800000
      • 样本数: 10000
  • 下载大小: 16914568
  • 数据集大小: 82800000

Burgers_Sols_Nu0.004

  • 特征:
    • parameters: 字符串
    • input_ids: 整数序列 (int32)
    • attention_mask: 整数序列 (int8)
    • mean: 浮点数序列 (float32)
    • std: 浮点数序列 (float32)
  • 分割:
    • train:
      • 字节数: 82800000
      • 样本数: 10000
  • 下载大小: 16907704
  • 数据集大小: 82800000

Burgers_Sols_Nu0.01

  • 特征:
    • parameters: 字符串
    • input_ids: 整数序列 (int32)
    • attention_mask: 整数序列 (int8)
    • mean: 浮点数序列 (float32)
    • std: 浮点数序列 (float32)
  • 分割:
    • train:
      • 字节数: 82790000
      • 样本数: 10000
  • 下载大小: 16920292
  • 数据集大小: 82790000

Burgers_Sols_Nu0.02

  • 特征:
    • parameters: 字符串
    • input_ids: 整数序列 (int32)
    • attention_mask: 整数序列 (int8)
    • mean: 浮点数序列 (float32)
    • std: 浮点数序列 (float32)
  • 分割:
    • train:
      • 字节数: 82790000
      • 样本数: 10000
  • 下载大小: 16932816
  • 数据集大小: 82790000

Burgers_Sols_Nu0.04

  • 特征:
    • parameters: 字符串
    • input_ids: 整数序列 (int32)
    • attention_mask: 整数序列 (int8)
    • mean: 浮点数序列 (float32)
    • std: 浮点数序列 (float32)
  • 分割:
    • train:
      • 字节数: 82790000
      • 样本数: 10000
  • 下载大小: 16936363
  • 数据集大小: 82790000

Burgers_Sols_Nu0.1

  • 特征:
    • parameters: 字符串
    • input_ids: 整数序列 (int32)
    • attention_mask: 整数序列 (int8)
    • mean: 浮点数序列 (float32)
    • std: 浮点数序列 (float32)
  • 分割:
    • train:
      • 字节数: 82780000
      • 样本数: 10000
  • 下载大小: 16861353
  • 数据集大小: 82780000

Burgers_Sols_Nu0.2

  • 特征:
    • parameters: 字符串
    • input_ids: 整数序列 (int32)
    • attention_mask: 整数序列 (int8)
    • mean: 浮点数序列 (float32)
    • std: 浮点数序列 (float32)
  • 分割:
    • train:
      • 字节数: 82780000
      • 样本数: 10000
  • 下载大小: 16397471
  • 数据集大小: 82780000

Burgers_Sols_Nu0.4

  • 特征:
    • parameters: 字符串
    • input_ids: 整数序列 (int32)
    • attention_mask: 整数序列 (int8)
    • mean: 浮点数序列 (float32)
    • std: 浮点数序列 (float32)
  • 分割:
    • train:
      • 字节数: 82780000
      • 样本数: 10000
  • 下载大小: 13875190
  • 数据集大小: 82780000

Burgers_Sols_Nu1.0

  • 特征:
    • parameters: 字符串
    • input_ids: 整数序列 (int32)
    • attention_mask: 整数序列 (int8)
    • mean: 浮点数序列 (float32)
    • std: 浮点数序列 (float32)
  • 分割:
    • train:
      • 字节数: 82780000
      • 样本数: 10000
  • 下载大小: 8523808
  • 数据集大小: 82780000

Burgers_Sols_Nu2.0

  • 特征:
    • parameters: 字符串
    • input_ids: 整数序列 (int32)
    • attention_mask: 整数序列 (int8)
    • mean: 浮点数序列 (float32)
    • std: 浮点数序列 (float32)
  • 分割:
    • train:
      • 字节数: 82780000
      • 样本数: 10000
  • 下载大小: 5054977
  • 数据集大小: 82780000

Burgers_Sols_Nu4.0

  • 特征:
    • parameters: 字符串
    • input_ids: 整数序列 (int32)
    • attention_mask: 整数序列 (int8)
    • mean: 浮点数序列 (float32)
    • std: 浮点数序列 (float32)
  • 分割:
    • train:
      • 字节数: 82780000
      • 样本数: 10000
  • 下载大小: 3240425
  • 数据集大小: 82780000
搜集汇总
数据集介绍
main_image_url
背景与挑战
背景概述
该数据集是一个文本和时间序列数据集，包含120,000行数据，总大小为166 MB，以parquet格式存储。它由12个子集组成，每个子集对应不同的'Burgers_Sols_Nu'参数，数据字段包括'input_ids'、'attention_mask'、'mean'和'std'，适用于训练任务。
以上内容由遇见数据集搜集并总结生成
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