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ricdomolm/bigbenchhard_mc

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Hugging Face2024-05-08 更新2024-06-12 收录
下载链接:
https://hf-mirror.com/datasets/ricdomolm/bigbenchhard_mc
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资源简介:
--- dataset_info: - config_name: date_understanding features: - name: question dtype: string - name: choices sequence: string - name: answer dtype: int64 splits: - name: train num_bytes: 59514 num_examples: 250 download_size: 18568 dataset_size: 59514 - config_name: disambiguation_qa features: - name: question dtype: string - name: choices sequence: string - name: answer dtype: int64 splits: - name: train num_bytes: 80632 num_examples: 250 download_size: 16868 dataset_size: 80632 - config_name: geometric_shapes features: - name: question dtype: string - name: choices sequence: string - name: answer dtype: int64 splits: - name: train num_bytes: 77760 num_examples: 250 download_size: 20493 dataset_size: 77760 - config_name: hyperbaton features: - name: question dtype: string - name: choices sequence: string - name: answer dtype: int64 splits: - name: train num_bytes: 39574 num_examples: 250 download_size: 10519 dataset_size: 39574 - config_name: logical_deduction_five_objects features: - name: question dtype: string - name: choices sequence: string - name: answer dtype: int64 splits: - name: train num_bytes: 152595 num_examples: 250 download_size: 33862 dataset_size: 152595 - config_name: logical_deduction_seven_objects features: - name: question dtype: string - name: choices sequence: string - name: answer dtype: int64 splits: - name: train num_bytes: 197022 num_examples: 250 download_size: 44257 dataset_size: 197022 - config_name: logical_deduction_three_objects features: - name: question dtype: string - name: choices sequence: string - name: answer dtype: int64 splits: - name: train num_bytes: 107831 num_examples: 250 download_size: 22038 dataset_size: 107831 - config_name: movie_recommendation features: - name: question dtype: string - name: choices sequence: string - name: answer dtype: int64 splits: - name: train num_bytes: 53839 num_examples: 249 download_size: 21988 dataset_size: 53839 - config_name: penguins_in_a_table features: - name: question dtype: string - name: choices sequence: string - name: answer dtype: int64 splits: - name: train num_bytes: 72394 num_examples: 146 download_size: 10972 dataset_size: 72394 - config_name: reasoning_about_colored_objects features: - name: question dtype: string - name: choices sequence: string - name: answer dtype: int64 splits: - name: train num_bytes: 102511 num_examples: 250 download_size: 21493 dataset_size: 102511 - config_name: ruin_names features: - name: question dtype: string - name: choices sequence: string - name: answer dtype: int64 splits: - name: train num_bytes: 49011 num_examples: 248 download_size: 15743 dataset_size: 49011 - config_name: salient_translation_error_detection features: - name: question dtype: string - name: choices sequence: string - name: answer dtype: int64 splits: - name: train num_bytes: 282110 num_examples: 250 download_size: 57536 dataset_size: 282110 - config_name: snarks features: - name: question dtype: string - name: choices sequence: string - name: answer dtype: int64 splits: - name: train num_bytes: 38931 num_examples: 178 download_size: 17055 dataset_size: 38931 - config_name: temporal_sequences features: - name: question dtype: string - name: choices sequence: string - name: answer dtype: int64 splits: - name: train num_bytes: 142546 num_examples: 250 download_size: 35734 dataset_size: 142546 - config_name: tracking_shuffled_objects_five_objects features: - name: question dtype: string - name: choices sequence: string - name: answer dtype: int64 splits: - name: train num_bytes: 166590 num_examples: 250 download_size: 37597 dataset_size: 166590 - config_name: tracking_shuffled_objects_seven_objects features: - name: question dtype: string - name: choices sequence: string - name: answer dtype: int64 splits: - name: train num_bytes: 213274 num_examples: 250 download_size: 49586 dataset_size: 213274 - config_name: tracking_shuffled_objects_three_objects features: - name: question dtype: string - name: choices sequence: string - name: answer dtype: int64 splits: - name: train num_bytes: 124104 num_examples: 250 download_size: 25661 dataset_size: 124104 configs: - config_name: date_understanding data_files: - split: train path: date_understanding/train-* - config_name: disambiguation_qa data_files: - split: train path: disambiguation_qa/train-* - config_name: geometric_shapes data_files: - split: train path: geometric_shapes/train-* - config_name: hyperbaton data_files: - split: train path: hyperbaton/train-* - config_name: logical_deduction_five_objects data_files: - split: train path: logical_deduction_five_objects/train-* - config_name: logical_deduction_seven_objects data_files: - split: train path: logical_deduction_seven_objects/train-* - config_name: logical_deduction_three_objects data_files: - split: train path: logical_deduction_three_objects/train-* - config_name: movie_recommendation data_files: - split: train path: movie_recommendation/train-* - config_name: penguins_in_a_table data_files: - split: train path: penguins_in_a_table/train-* - config_name: reasoning_about_colored_objects data_files: - split: train path: reasoning_about_colored_objects/train-* - config_name: ruin_names data_files: - split: train path: ruin_names/train-* - config_name: salient_translation_error_detection data_files: - split: train path: salient_translation_error_detection/train-* - config_name: snarks data_files: - split: train path: snarks/train-* - config_name: temporal_sequences data_files: - split: train path: temporal_sequences/train-* - config_name: tracking_shuffled_objects_five_objects data_files: - split: train path: tracking_shuffled_objects_five_objects/train-* - config_name: tracking_shuffled_objects_seven_objects data_files: - split: train path: tracking_shuffled_objects_seven_objects/train-* - config_name: tracking_shuffled_objects_three_objects data_files: - split: train path: tracking_shuffled_objects_three_objects/train-* ---
提供机构:
ricdomolm
原始信息汇总

数据集概述

数据集列表

配置名称 特征名称 数据类型 训练集大小(字节) 训练集示例数量 下载大小(字节)
date_understanding question string 59514 250 18568
disambiguation_qa question string 80632 250 16868
geometric_shapes question string 77760 250 20493
hyperbaton question string 39574 250 10519
logical_deduction_five_objects question string 152595 250 33862
logical_deduction_seven_objects question string 197022 250 44257
logical_deduction_three_objects question string 107831 250 22038
movie_recommendation question string 53839 249 21988
penguins_in_a_table question string 72394 146 10972
reasoning_about_colored_objects question string 102511 250 21493
ruin_names question string 49011 248 15743
salient_translation_error_detection question string 282110 250 57536
snarks question string 38931 178 17055
temporal_sequences question string 142546 250 35734
tracking_shuffled_objects_five_objects question string 166590 250 37597
tracking_shuffled_objects_seven_objects question string 213274 250 49586
tracking_shuffled_objects_three_objects question string 124104 250 25661

特征描述

  • question: 数据类型为字符串。
  • choices: 数据类型为字符串序列。
  • answer: 数据类型为int64。

数据集路径

每个数据集的训练数据文件路径格式为:

  • 配置名称/train-*

例如:

  • date_understanding/train-*
  • disambiguation_qa/train-*
  • ...
  • tracking_shuffled_objects_three_objects/train-*
搜集汇总
数据集介绍
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