Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
json
Sub-tasks:
extractive-qa
Languages:
English
Size:
100K - 1M
License:
File size: 2,557 Bytes
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{
"plain_text": {
"description": "Stanford Question Answering Dataset (SQuAD) is a reading comprehension dataset, consisting of questions posed by crowdworkers on a set of Wikipedia articles, where the answer to every question is a segment of text, or span, from the corresponding reading passage, or the question might be unanswerable.\n",
"citation": "@article{2016arXiv160605250R,\n author = {{Rajpurkar}, Pranav and {Zhang}, Jian and {Lopyrev},\n Konstantin and {Liang}, Percy},\n title = \"{SQuAD: 100,000+ Questions for Machine Comprehension of Text}\",\n journal = {arXiv e-prints},\n year = 2016,\n eid = {arXiv:1606.05250},\n pages = {arXiv:1606.05250},\narchivePrefix = {arXiv},\n eprint = {1606.05250},\n}\n",
"homepage": "https://rajpurkar.github.io/SQuAD-explorer/",
"license": "",
"features": {
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"id": null,
"_type": "Value"
},
"title": {
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"_type": "Value"
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"question": {
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"_type": "Value"
},
"answers": {
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}
},
"post_processed": null,
"supervised_keys": null,
"task_templates": [
{
"task": "question-answering-extractive",
"question_column": "question",
"context_column": "context",
"answers_column": "answers"
}
],
"builder_name": "squad",
"config_name": "plain_text",
"version": {
"version_str": "1.0.0",
"description": "",
"major": 1,
"minor": 0,
"patch": 0
},
"splits": {
"train": {
"name": "train",
"num_bytes": 156093316,
"num_examples": 169211,
"dataset_name": "squad_augmented"
},
"validation": {"name": "validation", "num_bytes": 10472653, "num_examples": 10570, "dataset_name": "squad_augmented"
},
"download_size": 35142551,
"post_processing_size": null,
"dataset_size": 89789763,
"size_in_bytes": 89789763
}
} |