Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
parquet
Sub-tasks:
extractive-qa
Languages:
English
Size:
10K - 100K
ArXiv:
License:
Commit
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2d731f5
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Parent(s):
9dab3f0
Delete legacy dataset_infos.json
Browse files- dataset_infos.json +0 -71
dataset_infos.json
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{
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"plain_text": {
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"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",
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"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",
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"homepage": "https://rajpurkar.github.io/SQuAD-explorer/",
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"license": "",
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"features": {
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"id": {
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"dtype": "string",
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"_type": "Value"
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},
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"title": {
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"dtype": "string",
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"_type": "Value"
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},
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"context": {
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"dtype": "string",
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"_type": "Value"
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},
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"question": {
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"dtype": "string",
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"_type": "Value"
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},
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"answers": {
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"feature": {
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"text": {
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"dtype": "string",
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"_type": "Value"
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},
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"answer_start": {
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"dtype": "int32",
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"_type": "Value"
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}
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},
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"_type": "Sequence"
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}
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},
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"task_templates": [
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{
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"task": "question-answering-extractive"
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}
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],
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"builder_name": "squad",
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"dataset_name": "squad",
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"config_name": "plain_text",
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"version": {
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"version_str": "1.0.0",
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"description": "",
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"major": 1,
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"minor": 0,
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"patch": 0
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},
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"splits": {
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"train": {
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"name": "train",
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"num_bytes": 79346108,
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"num_examples": 87599,
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"dataset_name": null
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},
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"validation": {
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"name": "validation",
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"num_bytes": 10472984,
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"num_examples": 10570,
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"dataset_name": null
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}
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},
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"download_size": 16278203,
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"dataset_size": 89819092,
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"size_in_bytes": 106097295
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}
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}
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