ibm/Wish-QA-ELI5-Falcon
收藏Hugging Face2024-02-05 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/ibm/Wish-QA-ELI5-Falcon
下载链接
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资源简介:
---
dataset_info:
features:
- name: 'Unnamed: 0'
dtype: float64
- name: id
dtype: string
- name: title_question
dtype: string
- name: answer
dtype: string
- name: passage_1
dtype: string
- name: passage_2
dtype: string
- name: passage_3
dtype: string
- name: text
dtype: string
- name: qa
dtype: string
- name: question
dtype: string
- name: doc_score
dtype: float64
- name: score_qa
dtype: float64
- name: old_question
dtype: string
- name: old_answer
dtype: string
- name: ans_num_words
dtype: int64
- name: text_num_words
dtype: int64
- name: text_longer_1.5
dtype: int64
- name: input
dtype: string
- name: output 0 answer
dtype: string
splits:
- name: train
num_bytes: 53884366
num_examples: 10000
download_size: 32253671
dataset_size: 53884366
---
# Dataset Card for "Wish-QA-ELI5-Falcon"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
提供机构:
ibm
原始信息汇总
数据集信息
特征
- Unnamed: 0: 数据类型为
float64 - id: 数据类型为
string - title_question: 数据类型为
string - answer: 数据类型为
string - passage_1: 数据类型为
string - passage_2: 数据类型为
string - passage_3: 数据类型为
string - text: 数据类型为
string - qa: 数据类型为
string - question: 数据类型为
string - doc_score: 数据类型为
float64 - score_qa: 数据类型为
float64 - old_question: 数据类型为
string - old_answer: 数据类型为
string - ans_num_words: 数据类型为
int64 - text_num_words: 数据类型为
int64 - text_longer_1.5: 数据类型为
int64 - input: 数据类型为
string - output 0 answer: 数据类型为
string
数据分割
- train: 包含 10000 个样本,总字节数为 53884366
数据集大小
- 下载大小: 32253671 字节
- 数据集大小: 53884366 字节



