SKIML-ICL/QA_incontext_webq_SQuAD_1shot_1docs
收藏Hugging Face2024-10-12 更新2025-04-26 收录
下载链接：
https://hf-mirror.com/datasets/SKIML-ICL/QA_incontext_webq_SQuAD_1shot_1docs
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资源简介：
---
dataset_info:
features:
- name: question
dtype: string
- name: answers
sequence: string
- name: docs
list:
- name: hasanswer
dtype: bool
- name: nli
dtype: string
- name: score
dtype: float64
- name: text
dtype: string
- name: title
dtype: string
- name: gpt_answer_sentence
dtype: string
- name: gpt_adv_sentence
sequence: string
- name: is_valid_adv_sentence
dtype: bool
- name: gpt_adv_passage
sequence: string
- name: is_valid_adv_passage
dtype: bool
- name: similar_entity
dtype: string
- name: gpt_conflict_passage
sequence: string
- name: is_valid_conflict_passage
dtype: bool
- name: hasanswer
dtype: bool
- name: answerable
dtype: string
- name: masked_query
dtype: string
- name: query_embedding
sequence: float32
- name: prompt
dtype: string
splits:
- name: train
num_bytes: 25327463
num_examples: 2032
download_size: 18095135
dataset_size: 25327463
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
提供机构：
SKIML-ICL
