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GoshaLetov/calc-qa-augment-sft-raw

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Hugging Face2023-07-28 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/GoshaLetov/calc-qa-augment-sft-raw
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资源简介:
--- dataset_info: features: - name: question dtype: string - name: answer dtype: string - name: question_bt_wmt19_1 dtype: string - name: answer_bt_wmt19_1 dtype: string - name: question_bt_wmt19_2 dtype: string - name: answer_bt_wmt19_2 dtype: string - name: question_bt_wmt19_3 dtype: string - name: answer_bt_wmt19_3 dtype: string - name: question_bt_wmt19_5 dtype: string - name: answer_bt_wmt19_5 dtype: string - name: question_bt_opus_1 dtype: string - name: answer_bt_opus_1 dtype: string - name: question_bt_opus_2 dtype: string - name: answer_bt_opus_2 dtype: string - name: question_bt_opus_3 dtype: string - name: answer_bt_opus_3 dtype: string - name: question_bt_opus_5 dtype: string - name: answer_bt_opus_5 dtype: string - name: question_pt_mt5small dtype: string - name: answer_pt_mt5small dtype: string - name: question_pt_mt5base dtype: string - name: answer_pt_mt5base dtype: string - name: question_pt_rut5 dtype: string - name: answer_pt_rut5 dtype: string splits: - name: train num_bytes: 463950 num_examples: 69 download_size: 253794 dataset_size: 463950 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "calc-qa-augment-sft-2" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

dataset_info: features: - name: question dtype: 字符串 - name: answer dtype: 字符串 - name: question_bt_wmt19_1 dtype: 字符串 - name: answer_bt_wmt19_1 dtype: 字符串 - name: question_bt_wmt19_2 dtype: 字符串 - name: answer_bt_wmt19_2 dtype: 字符串 - name: question_bt_wmt19_3 dtype: 字符串 - name: answer_bt_wmt19_3 dtype: 字符串 - name: question_bt_wmt19_5 dtype: 字符串 - name: answer_bt_wmt19_5 dtype: 字符串 - name: question_bt_opus_1 dtype: 字符串 - name: answer_bt_opus_1 dtype: 字符串 - name: question_bt_opus_2 dtype: 字符串 - name: answer_bt_opus_2 dtype: 字符串 - name: question_bt_opus_3 dtype: 字符串 - name: answer_bt_opus_3 dtype: 字符串 - name: question_bt_opus_5 dtype: 字符串 - name: answer_bt_opus_5 dtype: 字符串 - name: question_pt_mt5small dtype: 字符串 - name: answer_pt_mt5small dtype: 字符串 - name: question_pt_mt5base dtype: 字符串 - name: answer_pt_mt5base dtype: 字符串 - name: question_pt_rut5 dtype: 字符串 - name: answer_pt_rut5 dtype: 字符串 splits: - name: train num_bytes: 463950 num_examples: 69 download_size: 253794 dataset_size: 463950 configs: - config_name: default data_files: - split: train path: data/train-* --- # "calc-qa-augment-sft-2"数据集卡片 [需补充更多信息](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
提供机构:
GoshaLetov
原始信息汇总

数据集概述

数据集名称

  • 名称: calc-qa-augment-sft-2

数据集特征

  • 问题与答案特征:
    • question: 字符串类型
    • answer: 字符串类型
    • question_bt_wmt19_1question_bt_wmt19_5: 字符串类型
    • answer_bt_wmt19_1answer_bt_wmt19_5: 字符串类型
    • question_bt_opus_1question_bt_opus_5: 字符串类型
    • answer_bt_opus_1answer_bt_opus_5: 字符串类型
    • question_pt_mt5small: 字符串类型
    • answer_pt_mt5small: 字符串类型
    • question_pt_mt5base: 字符串类型
    • answer_pt_mt5base: 字符串类型
    • question_pt_rut5: 字符串类型
    • answer_pt_rut5: 字符串类型

数据集分割

  • 训练集:
    • name: train
    • num_bytes: 463950
    • num_examples: 69

数据集大小

  • 下载大小: 253794
  • 数据集大小: 463950

配置

  • 默认配置:
    • config_name: default
    • data_files:
      • split: train
      • path: data/train-*
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