GoshaLetov/calc-qa-augment-sft-raw
收藏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_1至question_bt_wmt19_5: 字符串类型answer_bt_wmt19_1至answer_bt_wmt19_5: 字符串类型question_bt_opus_1至question_bt_opus_5: 字符串类型answer_bt_opus_1至answer_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: trainnum_bytes: 463950num_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: defaultdata_files:split: trainpath: data/train-*



