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MLP-Lemma/Evaluation-dataset

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Hugging Face2024-05-15 更新2024-06-12 收录
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https://hf-mirror.com/datasets/MLP-Lemma/Evaluation-dataset
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资源简介：
--- dataset_info: - config_name: BookSum features: - name: output dtype: string - name: context dtype: string - name: instruction dtype: string - name: input_ids sequence: int32 - name: input_sentences_ids sequence: sequence: int64 - name: inst_ids sequence: sequence: int64 splits: - name: train num_bytes: 17267998 num_examples: 288 download_size: 5970410 dataset_size: 17267998 - config_name: BoolQ features: - name: instruction dtype: string - name: context dtype: string - name: output dtype: string - name: input_ids sequence: int32 - name: input_sentences_ids sequence: sequence: int64 - name: inst_ids sequence: sequence: int64 splits: - name: train num_bytes: 2563572 num_examples: 1000 download_size: 816586 dataset_size: 2563572 - config_name: CNN-DM features: - name: context dtype: string - name: output dtype: string - name: instruction dtype: string - name: input_ids sequence: int32 - name: input_sentences_ids sequence: sequence: int64 - name: inst_ids sequence: sequence: int64 splits: - name: train num_bytes: 3645754 num_examples: 300 download_size: 1397132 dataset_size: 3645754 - config_name: CosmosQA features: - name: context dtype: string - name: instruction dtype: string - name: output dtype: string - name: input_ids sequence: int32 - name: input_sentences_ids sequence: sequence: int64 - name: inst_ids sequence: sequence: int64 splits: - name: train num_bytes: 879818 num_examples: 300 download_size: 273118 dataset_size: 879818 - config_name: DROP features: - name: context dtype: string - name: instruction dtype: string - name: output dtype: string - name: input_ids sequence: int32 - name: input_sentences_ids sequence: sequence: int64 - name: inst_ids sequence: sequence: int64 splits: - name: train num_bytes: 2016740 num_examples: 500 download_size: 518170 dataset_size: 2016740 - config_name: GovReport features: - name: context dtype: string - name: output dtype: string - name: instruction dtype: string - name: input_ids sequence: int32 - name: input_sentences_ids sequence: sequence: int64 - name: inst_ids sequence: sequence: int64 splits: - name: train num_bytes: 127666196 num_examples: 923 download_size: 39664285 dataset_size: 127666196 - config_name: HotpotQA features: - name: instruction dtype: string - name: output dtype: string - name: context dtype: string - name: input_ids sequence: int32 - name: input_sentences_ids sequence: sequence: int64 - name: inst_ids sequence: sequence: int64 splits: - name: train num_bytes: 17712002 num_examples: 997 download_size: 6058864 dataset_size: 17712002 - config_name: Infbench-choice features: - name: id dtype: int64 - name: context dtype: string - name: instruction dtype: string - name: output sequence: string - name: input_ids sequence: int32 - name: input_sentences_ids sequence: sequence: int64 - name: inst_ids sequence: sequence: int64 splits: - name: train num_bytes: 195101301 num_examples: 119 download_size: 38794741 dataset_size: 195101301 - config_name: Infbench-qa features: - name: id dtype: int64 - name: context dtype: string - name: instruction dtype: string - name: output sequence: string - name: input_ids sequence: int32 - name: input_sentences_ids sequence: sequence: int64 - name: inst_ids sequence: sequence: int64 splits: - name: train num_bytes: 327190419 num_examples: 190 download_size: 59896490 dataset_size: 327190419 - config_name: Infbench-sum features: - name: id dtype: int64 - name: context dtype: string - name: instruction dtype: string - name: output sequence: string - name: input_ids sequence: int32 - name: input_sentences_ids sequence: sequence: int64 - name: inst_ids sequence: sequence: int64 splits: - name: train num_bytes: 96526309 num_examples: 62 download_size: 34773252 dataset_size: 96526309 - config_name: ReCoRD features: - name: context dtype: string - name: instruction dtype: string - name: output dtype: string - name: input_ids sequence: int32 - name: input_sentences_ids sequence: sequence: int64 - name: inst_ids sequence: sequence: int64 splits: - name: train num_bytes: 2032246 num_examples: 500 download_size: 729920 dataset_size: 2032246 - config_name: SQuAD features: - name: context dtype: string - name: instruction dtype: string - name: output dtype: string - name: input_ids sequence: int32 - name: input_sentences_ids sequence: sequence: int64 - name: inst_ids sequence: sequence: int64 splits: - name: train num_bytes: 3067944 num_examples: 998 download_size: 993185 dataset_size: 3067944 - config_name: TriviaQA features: - name: instruction dtype: string - name: context dtype: string - name: output dtype: string - name: input_ids sequence: int32 - name: input_sentences_ids sequence: sequence: int64 - name: inst_ids sequence: sequence: int64 splits: - name: train num_bytes: 121417901 num_examples: 848 download_size: 41629964 dataset_size: 121417901 - config_name: XSum features: - name: context dtype: string - name: output dtype: string - name: instruction dtype: string - name: input_ids sequence: int32 - name: input_sentences_ids sequence: sequence: int64 - name: inst_ids sequence: sequence: int64 splits: - name: train num_bytes: 2264314 num_examples: 299 download_size: 857299 dataset_size: 2264314 configs: - config_name: BookSum data_files: - split: train path: BookSum/train-* - config_name: BoolQ data_files: - split: train path: BoolQ/train-* - config_name: CNN-DM data_files: - split: train path: CNN-DM/train-* - config_name: CosmosQA data_files: - split: train path: CosmosQA/train-* - config_name: DROP data_files: - split: train path: DROP/train-* - config_name: GovReport data_files: - split: train path: GovReport/train-* - config_name: HotpotQA data_files: - split: train path: HotpotQA/train-* - config_name: Infbench-choice data_files: - split: train path: Infbench-choice/train-* - config_name: Infbench-qa data_files: - split: train path: Infbench-qa/train-* - config_name: Infbench-sum data_files: - split: train path: Infbench-sum/train-* - config_name: ReCoRD data_files: - split: train path: ReCoRD/train-* - config_name: SQuAD data_files: - split: train path: SQuAD/train-* - config_name: TriviaQA data_files: - split: train path: TriviaQA/train-* - config_name: XSum data_files: - split: train path: XSum/train-* ---

The dataset includes multiple configurations, each with specific features and splits. Features include string-type context, instruction, and output, as well as integer sequence-type input IDs, input sentence IDs, and instruction IDs. Each configuration has a training split, along with data size and number of examples provided.
提供机构：
MLP-Lemma
原始信息汇总

数据集概述

BookSum

  • 特征:
    • output: 字符串
    • context: 字符串
    • instruction: 字符串
    • input_ids: 整数序列（int32）
    • input_sentences_ids: 整数序列（int64）
    • inst_ids: 整数序列（int64）
  • 训练集:
    • 大小: 17267998字节
    • 示例数: 288
    • 下载大小: 5970410字节

BoolQ

  • 特征:
    • instruction: 字符串
    • context: 字符串
    • output: 字符串
    • input_ids: 整数序列（int32）
    • input_sentences_ids: 整数序列（int64）
    • inst_ids: 整数序列（int64）
  • 训练集:
    • 大小: 2563572字节
    • 示例数: 1000
    • 下载大小: 816586字节

CNN-DM

  • 特征:
    • context: 字符串
    • output: 字符串
    • instruction: 字符串
    • input_ids: 整数序列（int32）
    • input_sentences_ids: 整数序列（int64）
    • inst_ids: 整数序列（int64）
  • 训练集:
    • 大小: 3645754字节
    • 示例数: 300
    • 下载大小: 1397132字节

CosmosQA

  • 特征:
    • context: 字符串
    • instruction: 字符串
    • output: 字符串
    • input_ids: 整数序列（int32）
    • input_sentences_ids: 整数序列（int64）
    • inst_ids: 整数序列（int64）
  • 训练集:
    • 大小: 879818字节
    • 示例数: 300
    • 下载大小: 273118字节

DROP

  • 特征:
    • context: 字符串
    • instruction: 字符串
    • output: 字符串
    • input_ids: 整数序列（int32）
    • input_sentences_ids: 整数序列（int64）
    • inst_ids: 整数序列（int64）
  • 训练集:
    • 大小: 2016740字节
    • 示例数: 500
    • 下载大小: 518170字节

GovReport

  • 特征:
    • context: 字符串
    • output: 字符串
    • instruction: 字符串
    • input_ids: 整数序列（int32）
    • input_sentences_ids: 整数序列（int64）
    • inst_ids: 整数序列（int64）
  • 训练集:
    • 大小: 127666196字节
    • 示例数: 923
    • 下载大小: 39664285字节

HotpotQA

  • 特征:
    • instruction: 字符串
    • output: 字符串
    • context: 字符串
    • input_ids: 整数序列（int32）
    • input_sentences_ids: 整数序列（int64）
    • inst_ids: 整数序列（int64）
  • 训练集:
    • 大小: 17712002字节
    • 示例数: 997
    • 下载大小: 6058864字节

Infbench-choice

  • 特征:
    • id: 整数（int64）
    • context: 字符串
    • instruction: 字符串
    • output: 字符串序列
    • input_ids: 整数序列（int32）
    • input_sentences_ids: 整数序列（int64）
    • inst_ids: 整数序列（int64）
  • 训练集:
    • 大小: 195101301字节
    • 示例数: 119
    • 下载大小: 38794741字节

Infbench-qa

  • 特征:
    • id: 整数（int64）
    • context: 字符串
    • instruction: 字符串
    • output: 字符串序列
    • input_ids: 整数序列（int32）
    • input_sentences_ids: 整数序列（int64）
    • inst_ids: 整数序列（int64）
  • 训练集:
    • 大小: 327190419字节
    • 示例数: 190
    • 下载大小: 59896490字节

Infbench-sum

  • 特征:
    • id: 整数（int64）
    • context: 字符串
    • instruction: 字符串
    • output: 字符串序列
    • input_ids: 整数序列（int32）
    • input_sentences_ids: 整数序列（int64）
    • inst_ids: 整数序列（int64）
  • 训练集:
    • 大小: 96526309字节
    • 示例数: 62
    • 下载大小: 34773252字节

ReCoRD

  • 特征:
    • context: 字符串
    • instruction: 字符串
    • output: 字符串
    • input_ids: 整数序列（int32）
    • input_sentences_ids: 整数序列（int64）
    • inst_ids: 整数序列（int64）
  • 训练集:
    • 大小: 2032246字节
    • 示例数: 500
    • 下载大小: 729920字节

SQuAD

  • 特征:
    • context: 字符串
    • instruction: 字符串
    • output: 字符串
    • input_ids: 整数序列（int32）
    • input_sentences_ids: 整数序列（int64）
    • inst_ids: 整数序列（int64）
  • 训练集:
    • 大小: 3067944字节
    • 示例数: 998
    • 下载大小: 993185字节

TriviaQA

  • 特征:
    • instruction: 字符串
    • context: 字符串
    • output: 字符串
    • input_ids: 整数序列（int32）
    • input_sentences_ids: 整数序列（int64）
    • inst_ids: 整数序列（int64）
  • 训练集:
    • 大小: 121417901字节
    • 示例数: 848
    • 下载大小: 41629964字节

XSum

  • 特征:
    • context: 字符串
    • output: 字符串
    • instruction: 字符串
    • input_ids: 整数序列（int32）
    • input_sentences_ids: 整数序列（int64）
    • inst_ids: 整数序列（int64）
  • 训练集:
    • 大小: 2264314字节
    • 示例数: 299
    • 下载大小: 857299字节
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