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How to load this dataset directly with the
🤗/datasets library:
from datasets import load_dataset dataset = load_dataset("coqa")
kiri-ai/t5-base-qa-summary-emotion
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CoQA: A Conversational Question Answering Challenge
We show detailed information for up to 5 configurations of the dataset.
An example of 'train' looks as follows.
This example was too long and was cropped:
{
"answers": "{\"answer_end\": [179, 494, 511, 545, 879, 1127, 1128, 94, 150, 412, 1009, 1046, 643, -1, 764, 724, 125, 1384, 881, 910], \"answer_...",
"questions": "[\"When was the Vat formally opened?\", \"what is the library for?\", \"for what subjects?\", \"and?\", \"what was started in 2014?\", \"ho...",
"source": "wikipedia",
"story": "\"The Vatican Apostolic Library (), more commonly called the Vatican Library or simply the Vat, is the library of the Holy See, l..."
}The data fields are the same among all splits.
source: a string feature.story: a string feature.questions: a list of string features.answers: a dictionary feature containing:input_text: a string feature.answer_start: a int32 feature.answer_end: a int32 feature.| name | train | validation |
|---|---|---|
| default | 7199 | 500 |
@InProceedings{SivaAndAl:Coca,
author = {Siva, Reddy and Danqi, Chen and Christopher D., Manning},
title = {WikiQA: A Challenge Dataset for Open-Domain Question Answering},
journal = { arXiv},
year = {2018},
}